Journal articles on the topic 'Water resources development Computer simulation'
To see the other types of publications on this topic, follow the link: Water resources development Computer simulation.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Water resources development Computer simulation.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Wicaksono, Albert, Gimoon Jeong, and Doosun Kang. "Water, energy, and food nexus: review of global implementation and simulation model development." Water Policy 19, no. 3 (March 13, 2017): 440–62. http://dx.doi.org/10.2166/wp.2017.214.
Full textAbstract:
Water, energy, and food (WEF) have complex interconnections. Water is required to produce energy, while energy is needed for water extraction, treatment, and distribution. The food sector requires water and energy to produce food products, while fertilizer and pesticide from farmland have a negative impact on water quality; however, biomass is a potential alternative energy source. Understanding these interconnections will help determine the developmental framework that connects all of the elements. Some global regions have implemented a variety of sustainable management concepts to manage the natural resources, however, mainly for an individual resource. Furthermore, various computer models have been developed to estimate the interdependency of each resource and to quantify future requirements of WEF; the limitations of current models have opened opportunities for development through the addition of components and features such as feedback analysis, optimization, and visualization. We reviewed the literature to determine the present state of the WEF nexus, especially its global implementation and simulation model. We concluded that the involvement of stakeholders, integration of policies, and development of a nexus simulation model are required for successful implementation of the WEF nexus, which is an emerging issue for a sustainable resources' management.
2
Lindenschmidt, K. E., F. B. Hesser, and M. Rode. "Integrating water quality models in the High Level Architecture (HLA) environment." Advances in Geosciences 4 (August 9, 2005): 51–56. http://dx.doi.org/10.5194/adgeo-4-51-2005.
Full textAbstract:
Abstract. HLA (High Level Architecture) is a computer architecture for constructing distributed simulations. It facilitates interoperability among different simulations and simulation types and promotes reuse of simulation software modules. The core of the HLA is the Run-Time Infrastructure (RTI) that provides services to start and stop a simulation execution, to transfer data between interoperating simulations, to control the amount and routing of data that is passed, and to co-ordinate the passage of simulated time among the simulations. The authors are not aware of any HLA applications in the field of water resources management. The development of such a system is underway at the UFZ -Centre for Environmental Research, Germany, in which the simulations of a hydrodynamic model (DYNHYD), eutrophication model (EUTRO) and sediment and micro-pollutant transport model (TOXI) are interlinked and co-ordinated by the HLA RTI environment. This configuration enables extensions such as (i) "cross-model" uncertainty analysis with Monte Carlo Analysis: time synchronisation allows EUTRO and TOXI simulations to be made after each successive simulation time step in DYNHYD, (ii) information transfer from EUTRO to TOXI to compute organic carbon fractions of particulate matter in TOXI, (iii) information transfer from TOXI to EUTRO to compute extinction coefficients in EUTRO and (iv) feedback from water quality simulations to the hydrodynamic modeling.
3
Wicaksono, Albert, Gimoon Jeong, and Doosun Kang. "Water–Energy–Food Nexus Simulation: An Optimization Approach for Resource Security." Water 11, no. 4 (March 31, 2019): 667. http://dx.doi.org/10.3390/w11040667.
Full textAbstract:
The water–energy–food nexus (WEF nexus) concept is a novel approach to manage limited resources. Since 2011, a number of studies were conducted to develop computer simulation models quantifying the interlinkage among water, energy, and food sectors. Advancing a nationwide WEF nexus simulation model (WEFSiM) previously developed by the authors, this study proposes an optimization module (WEFSiM-opt) to assist stakeholders in making informed decisions concerning sustainable resource management. Both single- and multi-objective optimization modules were developed to maximize the user reliability index (URI) for water, energy, and food sectors by optimizing the priority index and water allocation decisions. In this study, the developed models were implemented in Korea to determine optimal resource allocation and management decisions under a plausible drought scenario. This study suggests that the optimization approach can advance WEF nexus simulation and provide better solutions for managing limited resources. It is anticipated that the proposed WEFSiM-opt can be utilized as a decision support tool for designing resource management plans.
4
Balderama, Orlando F. "Development of a decision support system for small reservoir irrigation systems in rainfed and drought prone areas." Water Science and Technology 61, no. 11 (June 1, 2010): 2779–85. http://dx.doi.org/10.2166/wst.2010.193.
Full textAbstract:
An integrated computer program called Cropping System and Water Management Model (CSWM) with a three-step feature (expert system—simulation—optimization) was developed to address a range of decision support for rainfed farming, i.e. crop selection, scheduling and optimisation. The system was used for agricultural planning with emphasis on sustainable agriculture in the rainfed areas through the use of small farm reservoirs for increased production and resource conservation and management. The application of the model was carried out using crop, soil, and climate and water resource data from the Philippines. Primarily, four sets of data representing the different rainfall classification of the country were collected, analysed, and used as input in the model. Simulations were also done on date of planting, probabilities of wet and dry period and with various capacities of the water reservoir used for supplemental irrigation. Through the analysis, useful information was obtained to determine suitable crops in the region, cropping schedule and pattern appropriate to the specific climate conditions. In addition, optimisation of the use of the land and water resources can be achieved in areas partly irrigated by small reservoirs.
5
Meng, Ying. "Evaluation of Water Resources Environment and Regional Agricultural Economic Development Based on SAR Imaging Algorithm." Mobile Information Systems 2022 (August 23, 2022): 1–11. http://dx.doi.org/10.1155/2022/9990603.
Full textAbstract:
Synthetic aperture radar (SAR) is a new high-tech radar that uses SAR principles and pulse compression technology to perform high-resolution imaging of ground targets. Because it is not affected by various factors such as location, time, and climate, it is widely used in the civilian and military fields, bringing huge social and economic benefits. Moreover, the environment of agricultural water resources and the development of regional agricultural economy can be studied using the SAR imaging algorithm. With the serious shortage of water resources and the increase of the world’s population, the use of water resources for agriculture must not only achieve the goal of saving water, but more importantly, achieve efficient production on the premise of saving water. However, the shortage of water resources in China has become a serious constraint on the development of agriculture and rural economy and has become an important factor restricting the sustainable development of agriculture and rural economy. Therefore, the development of efficient and sustainable use of water resources is very important to establish a water-saving society for the sustainable development of China’s economy and society. For the spaceborne SAR system, an azimuth-based multi-channel range ambiguity suppression method is proposed in this chapter. The simulation results show that after adopting the azimuth phase encoding technology, the azimuth spectrum of the signal in the ambiguous area can be moved to suppress the distance ambiguity.
6
Ke, Wenlan, Yalin Lei, Jinghua Sha, Guofeng Zhang, Jingjing Yan, Xiaoyu Lin, and Xiping Pan. "Dynamic simulation of water resource management focused on water allocation and water reclamation in Chinese mining cities." Water Policy 18, no. 4 (January 5, 2016): 844–61. http://dx.doi.org/10.2166/wp.2016.085.
Full textAbstract:
Mining cities have undergone the process of extensive exploitation, which always results in a series of water issues. Integrated water resource management is necessary in improving water supply, allocation and quality without damaging economic development. This article constructs a linear optimization model including a ‘Top-Down’ socio-economic mode, and ‘Bottom-Up’ water quality control and water supply–demand modes with integrated water resource management focused on water allocation and water reclamation. Based on computer simulation, the model can propose a water resource management under the constraints of water supply–demand and water quality control, and the model can precisely predict the influences of water resource management on economic development, water utilization and water quality. Taking Ordos, a Chinese national resource city, as a case study, this model addresses a detailed water resource management, including a water allocation plan among industries and water reclamation plan with technologies, selection, arrangement and subsidies. The implementation of water resource management can fulfill multiple objectives on water quantity, water quality and sustainable economic development. This study indicates that water resource management with a comprehensive dynamic model can be a maneuverable approach to realize the sustainable development of economic growth and water resource utilization, as well as formulate the regional development plan.
7
Ilich, Nesa. "Improvement of the return flow allocation in the Water Resources Management Model of Alberta Environment." Canadian Journal of Civil Engineering 20, no. 4 (August 1, 1993): 613–21. http://dx.doi.org/10.1139/l93-078.
Full textAbstract:
This paper describes recent developments related to a new return flow algorithm built into the Water Resources Management Model (WRMM) of Alberta Environmental Protection. An earlier return flow allocation method which was used in the WRMM did not always give satisfactory results. It was essential to fix this problem, since correct modelling of the return flows in overall river basin management is of crucial importance. The new return flow algorithm offers more reliable return flow allocation without detrimental effects on the overall model solution. This model is a major river basin planning tool in western Canada used to analyze responses of a river basin to varying operating policies or structural developments. It is a simulation model with a nested optimization subprogram. As a deterministic, steady state, and surface water allocation model, it normally relies on the estimates of natural flows and water demands throughout the river basin. The WRMM can provide quick simulations of any river basin with any number of components within a microcomputer environment. The model is used in ongoing river basin management studies in Alberta and other western provinces in Canada. Key words: water management, computer modelling, simulation, optimization, irrigation.
8
Sánchez-Román, Rodrigo Máximo, Marcos Vinicius Folegatti, Alba María Guadalupe Orellana González, and Rogério Teixeira da Silva. "Dynamic systems approach assess and manage water resources in river basins." Scientia Agricola 66, no. 4 (August 2009): 427–35. http://dx.doi.org/10.1590/s0103-90162009000400001.
Full textAbstract:
The Piracicaba, Capivari and Jundiaí River Basins (RB-PCJ) are located in the States of Minas Gerais and São Paulo, Brazil. By 2005, 5.8% of Brazil's General National Product-GNP was produced there. Such economic development has created a huge demand for water resources. The availability of water resources was assessed by running a dynamic systems simulation model to manage these resources in the RB-PCJ (WRM-PCJ), considering five 50-year simulations. WRM-PCJ was developed as a tool to aid the RB-PCJ Watershed Committee. The model computes water supply, demands, and contamination load from several consumers. When considering a Business-as-Usual scenario, by 2054, water demands will have increased up to 76%, 39% of the available water will come from wastewater reuse, and the contamination load will have increased by 91%. The Falkenmark Index started at 1403 m³ person-1 year-1 in 2004, ending at 734 m³ P-1 yr-1 in 2054; the Xu Sustainability Index started at 0.44 and ended at 0.20; and Keller's River Basin Development Phases started as Phase II, and ended at final Phase III, of Augmentation. The three criteria used to evaluate water resources showed that RB-PCJ is at a crucial management turning point. The WRM-PCJ performed well, and proved to be an excellent tool to assess water resources availability.
9
YANG, ZHIFENG, YONG ZENG, YANPENG CAI, and QIAN TAN. "AN INTEGRATED GAME-THEORY BASED MODEL FOR TRANS-BOUNDARY WATER RESOURCES MANAGEMENT IN NORTH CHINA: A CASE STUDY IN THE GUANTING RESERVOIR BASIN (GRB), BEIJING." International Journal of Software Engineering and Knowledge Engineering 18, no. 04 (June 2008): 461–83. http://dx.doi.org/10.1142/s021819400800374x.
Full textAbstract:
Water is a fundamental resource in our daily lives and for social development. Currently, water resources are under stressed conditions in north China due to the ongoing growth of demand for water and the frequent occurrences of natural disasters in this area. This problem is further intensified by the deterioration of water quality, which is a side effect of economic development, industrial expansion, and agricultural growth. These problems interconnect with each other, leading to a variety of conflicts over water resources. To resolve such conflicts, a two-person game-theory based model is developed for water resource management in the trans-boundary regions of a river basin. The model is tested on a river basin within this area of China in which water resources are contested. Through the developed model, potential policy alternatives can be generated for water resource management and pollution control within the context of a river basin. Cooperative and/or competitive mechanisms can thus be formulated through competition and cooperation over issues of water quantity and quality among different levels of jurisdictions in the same river basin. Then, Nash Solution is used to solve scenarios of competition and cooperation between the upstream and downstream based on the integration of optimization and simulation models. The developed model and the solution process is then applied to resolve water conflicts between Beijing and Hebei province, which are in the upstream and downstream of the Guanting Reservoir Basin (GRB), respectively, representing two major stakeholders in the contest over water quantity and quality. Non-cooperative and cooperative scenarios for the two-player game scenarios are developed to investigate and compare potential economic benefits of these scenarios. Results indicate that the developed model can be effectively and flexibly employed to resolve water conflicts between upstream and downstream stakeholders in the same river basin. The results can also be used to help formulate economic compensation mechanisms within these jurisdictions.
10
Hwang, Su-jin, and Chul H. Jo. "Tidal Current Energy Resource Distribution in Korea." Energies 12, no. 22 (November 18, 2019): 4380. http://dx.doi.org/10.3390/en12224380.
Full textAbstract:
Korea is a very well-known country for having abundant tidal current energy resources. There are many attractive coastal areas for the tidal current power that have very strong currents due to the high tidal range and the acceleration through the narrow channels between islands in the west and south coasts of the Korean peninsula. Recently, the Korean government announced a plan that aims to increase the portion of electricity generated from renewable energy to 20% by 2030. Korea has abundant tidal current energy resources; however, as reliable resource assessment results of tidal current energy are not sufficient, the portion of tidal current power is very small in the plan. Therefore, a reliable resource assessment should be conducted in order to provide a basis for the development plan. This paper describes the resource assessment of tidal current energy in Korea based on the observational data provided by KHOA (Korean Hydrographic and Oceanographic Agency) and numerical simulation of water circulation. As the observational data were unable to present the detailed distribution of the complicated tidal current between islands, numerical simulation of water circulation was used to describe the detailed distribution of tidal current in Incheon-Gyeonggi and Jeollanam-do, where the tidal energy potentials are abundant. The west and south coastal areas of Korea were divided into seven regions according to the administrative district, and the theoretical tidal current potential was calculated using average power intercepted. The results of this research can provide the insight of the tidal current energy development plan in Korea.
11
Verma, S. K., A. D. Prasad, and M. K. Verma. "An Assessment of Ongoing Developments in Water Resources Management Incorporating SWAT Model: Overview and Perspectives." Nature Environment and Pollution Technology 21, no. 4 (December 1, 2022): 1963–70. http://dx.doi.org/10.46488/nept.2022.v21i04.051.
Full textAbstract:
Land and water are the most necessary natural resources because the entire life system depends on them. It requires proper management to achieve maximum utilization. When used in conjunction with Arc GIS, the Soil and Water Assessment Tool (SWAT) is a promising model for simulating the agricultural watershed since it can forecast runoff, sediment and nutrient transport, and erosion under various management scenarios. Furthermore, the model is better at evaluating both the spatial and non-spatial variation of hydrological methods under a very large watershed. This study uses the methodology employed by the SWAT model for the estimation of surface runoff and sediment yield and discusses in detail the setup of the model computer file needed by the model sensitivity analysis parameter and validation area unit. SWAT is a well-known hydrological modeling method used in many hydrologic and environmental simulations. Over 17 years (2005-2021), 212 studies were found from various peer-reviewed scientific publications listed on the SWAT online database (CARD). Applicability studies were divided into five categories: water resources, streamflow, erosion, land-use planning and agricultural settings, climate change scenarios, and model parameterization. Hydrologic phenomena and adaptations in various river basins have been investigated. They mostly examined environmental impacts and preventive techniques to ensure an understanding of effective environmental regulation. Streamflow susceptibility to climatic changes was shown in climate change studies. Modeling streamflow parameters, model modifications, and basin-scale calibrations were investigated. Future simulation aspects such as data sharing and the opportunity for improved future analysis are also discussed. A multimodal approach to future simulations, as well as more efforts to make local data available, are both very good ideas.
12
Yakymchuk, Vladyslav. "Simulation mathematical modeling of hydroecological monitoring of water resources using space images of the Earth." Ukrainian journal of remote sensing 9, no. 2 (June 16, 2022): 37–42. http://dx.doi.org/10.36023/ujrs.2022.9.2.211.
Full textAbstract:
Modeling of aquatic ecosystems is the basis for solving many practical problems. These problems are related to increasing the productivity of water bodies, improving the quality of water in them and the implementation of water protection measures in catchment areas. The study is based on the integration of materials from space images of the Earth and terrestrial values of the ecological index of water quality to assess the state of aquatic ecosystems, which provides sufficient data to assess the parameters of water pollution. The issues of construction of resource-oriented scenarios of nature management based on the balance of water consumption and reproduction are considered. The role and place of mathematical modeling in the system of ecological monitoring are shown, namely that the information technology of process scenario management allows to maintain the balance of water consumption and reproduction of water resources. Integrated dynamic models of Kyiv Reservoir systems have been built, focused on establishing a balance of water consumption and reproduction. A systematic approach was used to build the models, in which the economic goals of water consumption are made dependent on the ecological state. In accordance with the principle of dynamic balance, which postulates the desire of a complex system to dynamic equilibrium with variable external forces, the creation of the method proposed a universal model of adaptive balance of the system of interdependent processes. As an example of using a systematic management methodology, consider the problem of finding a balance between the volume of water consumption and the volume of their reproduction. This balance, maintained through environmental measures, is represented by a conceptual model of the ecological and economic system. Simulation experiments with the model of adaptive balance of water resources impacts were performed. The main advantage of such computer control technologies is the wide possibility to carry out simulation experiments and choose from an ensemble of possible process scenarios that meet the target guidelines for sustainable development.
13
Guiguer, N., and T. Franz. "Development and Applications of a Wellhead Protection Area Delineation Computer Program." Water Science and Technology 24, no. 11 (December 1, 1991): 51–62. http://dx.doi.org/10.2166/wst.1991.0336.
Full textAbstract:
In the last few years, groundwater management has concentrated on the protection of groundwater quality. An increasing number of countries has adopted policies to protect vital groundwater resources from deterioration by regulating human interaction with the subsurface, the use of potential contaminants, land use restrictions, and waste transport and storage. One of the more common regulatory approaches to the protection of groundwater focuses on public water supplies to reduce the potential of human exposure to hazardous contaminants. Under the framework of the Safe Drinking Water Act amended by U.S. Congress in 1986, The U.S.EPA (1987) issued guidelines for the delineation of wellhead protection areas, recommending the use of analytical and numerical models for the identification of such areas. In this study, the theoretical background for the development of one such numerical model is presented. Two real-world applications are discussed: in the first case history, the model is applied to a Superfund Site in Puerto Rico as a tool for assessment of the effectiveness of a proposed pump-and-treat scheme for aquifer remediation. Based on simulation results for the evolution of the existing contaminant plume it was verified that such a scheme would not work with the proposed purging wells. The second case history is the delineation of a wellhead protection area in the Town of Littleton, Massachusetts, and subsequent design of a monitoring well network.
14
Nicolae, Răzvan, Mihaela Neagu, and Ion Onuțu. "MODELING AND COMPUTER SIMULATION OF REVERSE OSMOSIS SYSTEM FOR WATER TREATMENT." Romanian Journal of Petroleum & Gas Technology 2(73), no. 1 (2021): 48–61. http://dx.doi.org/10.51865/jpgt.2021.01.05.
Full textAbstract:
"Water represents the essence of life on earth, so we must preserve and use responsibly this given resource. For many years, water treatment has been a field of continuous development. At the same time, new materials and techniques are being developed for one of the most important methods in water treatment: Reverse Osmosis (RO). Actual technology in this domain provided us with good know-how to reverse osmosis systems creation, simulation, and validation of the simulation results. Our duty is to bring value to this heritage with new specific cases where the known techniques will be used to create efficient models for water treatment by reverse osmosis. Reverse osmosis is mainly a method for seawater desalination which started to be used more often in industrial applications for water and other product treatment. The focus of this study is to design and simulate a reverse osmosis system with the help of Q+ Projection software v3.1 for a 10 m3/h well water flow by using different types of membranes, in order to select an appropriate membrane which will provide the best parameters for permeate water. Permeate water resulted after reverse osmosis treatment will be used as process water for spirit drinks production. "
15
Shiri, Naser, Jalal Shiri, Zaher Mundher Yaseen, Sungwon Kim, Il-Moon Chung, Vahid Nourani, and Mohammad Zounemat-Kermani. "Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios." PLOS ONE 16, no. 5 (May 27, 2021): e0251510. http://dx.doi.org/10.1371/journal.pone.0251510.
Full textAbstract:
Groundwater is one of the most important freshwater resources, especially in arid and semi-arid regions where the annual amounts of precipitation are small with frequent drought durations. Information on qualitative parameters of these valuable resources is very crucial as it might affect its applicability from agricultural, drinking, and industrial aspects. Although geo-statistics methods can provide insight about spatial distribution of quality factors, applications of advanced artificial intelligence (AI) models can contribute to produce more accurate results as robust alternative for such a complex geo-science problem. The present research investigates the capacity of several types of AI models for modeling four key water quality variables namely electrical conductivity (EC), sodium adsorption ratio (SAR), total dissolved solid (TDS) and Sulfate (SO4) using dataset obtained from 90 wells in Tabriz Plain, Iran; assessed by k-fold testing. Two different modeling scenarios were established to make simulations using other quality parameters and the geographical information. The obtained results confirmed the capabilities of the AI models for modeling the well groundwater quality variables. Among all the applied AI models, the developed hybrid support vector machine-firefly algorithm (SVM-FFA) model achieved the best predictability performance for both investigated scenarios. The introduced computer aid methodology provided a reliable technology for groundwater monitoring and assessment.
16
Bolgov, M. V., A. L. Buber, A. A. Buber, E. A. Korobkina, and E. E. Golovinov. "Environmental and hydrological risks in the Lake Baikal basin water resources management." IOP Conference Series: Earth and Environmental Science 843, no. 1 (November 1, 2021): 012050. http://dx.doi.org/10.1088/1755-1315/843/1/012050.
Full textAbstract:
Abstract For optimal water resources management of the Angara reservoirs cascade (a complex “Lake Baikal – Irkutsk, Bratsk, Ust-Ilimsk and Boguchansk reservoirs”) and water users provision in the MIKE 11 software a quasi-two-dimensional simulation hydrodynamic model of the Angara hydroelectric power stations (HPS) cascade from Lake Baikal to the Boguchansk HPS downstream, which is a tool for reproducing the features of the water flow hydrodynamic structure, was developed. A hydrodynamic computer model using the built-in module “Regulating structures” module makes it possible to form reasonable operating modes of the Angarsk cascade of reservoirs that meet the most significant requirements of water users: ecology, fisheries and utilities, transport and energy. Hydrodynamic calculations and the flood zones obtained in the GIS project of the territory showed that catastrophic phenomena in the floodplain and coastal zone of Irkutsk occur even when releases into the lower pool of the Irkutsk reservoir exceed 3200 m3/s. The developed hydrodynamic model of the Angarsk cascade of reservoirs makes it possible to determine the objects and floodplain areas most susceptible to flooding in the downstream of the Irkutsk HPS for further development of scientifically based measures to protect them, prevent flooding and develop evacuation plans in an emergency.
17
Xiang, Nan, Feng Xu, Jing Hua Sha, Helmut Yabar, and Yoshiro Higano. "Comprehensive Evaluation of Effectively Utilizing Reclaimed Water to Accomplish Sustainable Development in Tianjin, China." Advanced Materials Research 524-527 (May 2012): 3040–45. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3040.
Full textAbstract:
Water shortage and water pollution problems are becoming more and more serious nowadays; it gives rise to the use of reclaimed wastewater as an additional source of water supply and an efficient method of reducing and preventing water pollution. Tianjin is a rapidly growing city in both population and economy while water scarcity is intensifying and water pollution is deteriorating; also reclaimed water reuse in this city has just started. This study aims to find out the potential to realize sustainable development utilizing reclaimed water, and prove the feasibility of local government plan of Tianjin. This study mainly utilizes computer simulation to accomplish the comprehensive evaluation with LINGO programming. The simulation model will forecast the social and economic developing trend of Tianjin with the introduction of developed technology. According to scenarios, this research can give policy-making basis on implementing reclaimed water utilization to realize environment and economic development in Tianjin from 2010 to 2020. Furthermore, it can provide the specific developing plan to establish the sustainable development target, such as construction plan of new sewage plants, financial support, and reclaimed water distribution. Simulation results show that reclaimed water can be effective in saving water resource, reducing water pollutant and improving economic development in the catchment area.
18
Purnama, Ignasius Loyola Setyawan, Sekar Dinul Salamah, Kartika Ayu Wandari, and Vincentia Anindha Primacintya. "Integrated groundwater resource management in the peri-urban area of Banguntapan, Bantul." E3S Web of Conferences 200 (2020): 02017. http://dx.doi.org/10.1051/e3sconf/202020002017.
Full textAbstract:
Banguntapan District in Bantul Regency is one of the peri-urban areas in the Special Region of Yogyakarta. The peri-urban area is an area located between the urban (Jogja City) and the rural (Bantul Regency). As a result of this strategic location, the development of this district is very rapidly marked by the growth of settlements, which in turn further requires water for housing purposes.The purpose of this research is to formulate an integrated water resources management model in the study area. To achieve this goal dynamic modeling is used. The model obtained was then simulated using the Powersim 2.5c computer program. Management efforts that can be carried out in this district are reducing groundwater use through saving water use and increasing water use from local water companies. Simulation results show that the combination of these two methods will slow down the time the safe yield will be exceeded, from 2039 to 2049.
19
Kalla, Subhash, and Christopher David White. "Efficient Design of Reservoir Simulation Studies for Development and Optimization." SPE Reservoir Evaluation & Engineering 10, no. 06 (December 1, 2007): 629–37. http://dx.doi.org/10.2118/95456-pa.
Full textAbstract:
Summary Development studies examine geologic, engineering, and economic factors to formulate and optimize production plans. If there are many factors, these studies are prohibitively expensive unless simulation runs are chosen efficiently. Experimental design and response models improve study efficiency and have been widely applied in reservoir engineering. To approximate nonlinear oil and gas reservoir responses, designs must consider factors at more than two levels—not just high and low values. However, multilevel designs require many simulations, especially if many factors are being considered. Partial factorial and mixed designs are more efficient than full factorials, but multilevel partial factorial designs are difficult to formulate. Alternatively, orthogonal arrays (OAs) and nearly-orthogonal arrays (NOAs) provide the required design properties and can handle many factors. These designs span the factor space with fewer runs, can be manipulated easily, and are appropriate for computer experiments. The proposed methods were used to model a gas well with water coning. Eleven geologic factors were varied while optimizing three engineering factors. An NOA was specified with three levels for eight factors and four levels for the remaining six factors. The proposed design required 36 simulations compared to 26,873,856 runs for a full factorial design. Kriged response surfaces are compared to polynomial regression surfaces. Polynomial-response models are used to optimize completion length, tubinghead pressure, and tubing diameter for a partially penetrating well in a gas reservoir with uncertain properties. OAs, Hammersley sequences (HSs), and response models offer a flexible, efficient framework for reservoir simulation studies. Complexity of Reservoir Studies Reservoir studies require integration of geologic properties, drilling and production strategies, and economic parameters. Integration is complex because parameters such as permeability, gas price, and fluid saturations are uncertain. In exploration and production decisions, alternatives such as well placement, artificial lift, and capital investment must be evaluated. Development studies examine these alternatives, as well as geologic, engineering, and economic factors to formulate and optimize production plans (Narayanan et al. 2003). Reservoir studies may require many simulations to evaluate the many factor effects on reservoir performance measures, such as net present value (NPV) and breakthrough time. Despite the exponential growth of computer memory and speed, computing accurate sensitivities and optimizing production performance is still expensive, to the point that it may not be feasible to consider all alternative models. Thus, simulation runs should be chosen as efficiently as possible. Experimental design addresses this problem statistically, and along with response models, it has been applied in engineering science (White et al. 2001; Peng and Gupta 2004; Peake et al. 2005; Sacks et al. 1989a) toMinimize computational costs by choosing a small but statistically representative set of simulation runs for predicting responses (e.g., recovery)Decrease expected error compared with nonoptimal simulation designs (i.e., sets of sample points)Evaluate sensitivity of responses to varying factorsTranslate uncertainty in input factors to uncertainty in predicted performance (i.e., uncertainty analysis)Estimate value of information to focus resources on reducing uncertainty in factors that have the most significant effect on response uncertainty to help optimize engineering factors.
20
Kumar, Pankaj, Rajarshi Dasgupta, Shalini Dhyani, Rakesh Kadaverugu, Brian Alan Johnson, Shizuka Hashimoto, Netrananda Sahu, et al. "Scenario-Based Hydrological Modeling for Designing Climate-Resilient Coastal Water Resource Management Measures: Lessons from Brahmani River, Odisha, Eastern India." Sustainability 13, no. 11 (June 3, 2021): 6339. http://dx.doi.org/10.3390/su13116339.
Full textAbstract:
Widespread urban expansion around the world, combined with rapid demographic and climatic changes, has resulted in serious pollution issues in many coastal water bodies. To help formulate coastal management strategies to mitigate the impacts of these extreme changes (e.g., local land-use or climate change adaptation policies), research methodologies that incorporate participatory approaches alongside with computer simulation modeling tools have potential to be particularly effective. One such research methodology, called the “Participatory Coastal Land-Use Management” (PCLM) approach, consists of three major steps: (a) participatory approach to find key drivers responsible for the water quality deterioration, (b) scenario analysis using different computer simulation modeling tools for impact assessment, and (c) using these scientific evidences for developing adaptation and mitigation measures. In this study, we have applied PCLM approach in the Kendrapara district of India (focusing on the Brahmani River basin), a rapidly urbanizing area on the country’s east coast to evaluate current status and predict its future conditions. The participatory approach involved key informant interviews to determine key drivers of water quality degradation, which served as an input for scenario analysis and hydrological simulation in the next step. Future river water quality (BOD and Total coliform (Tot. coli) as important parameters) was simulated using the Water Evaluation and Planning (WEAP) tool, considering a different plausible future scenario (to 2050) incorporating diverse drivers and pressures (i.e., population growth, land-use change, and climate change). Water samples (collected in 2018) indicated that the Brahmani River in this district was already moderately-to-extremely polluted in comparison to the desirable water quality (Class B), and modeling results indicated that the river water quality is likely to further deteriorate by 2050 under all of the considered scenarios. Demographic changes emerged as the major driver affecting the future water quality deterioration (68% and 69% for BOD and Tot. coli respectively), whereas climate change had the lowest impact on river water quality (12% and 13% for BOD and Tot. coli respectively), although the impact was not negligible. Scientific evidence to understand the impacts of future changes can help in developing diverse plausible coastal zone management approaches for ensuring sustainable management of water resources in the region. The PCLM approach, by having active stakeholder involvement, can help in co-generation of the coastal management options followed by open access free software, and models can play a relevant cost-effective approach to enhance science-policy interface for conservation of natural resources.
21
Bastan, Mahdi, Reza Ramazani Khorshid-Doust, Saeid Delshad Sisi, and Alimohammad Ahmadvand. "Sustainable development of agriculture: a system dynamics model." Kybernetes 47, no. 1 (January 8, 2018): 142–62. http://dx.doi.org/10.1108/k-01-2017-0003.
Full textAbstract:
Purpose Sustainable development is the management and conservation of the basic natural resources through which organizational and technological changes are lead to meet present and future needs of humans. In developing and analyzing the solutions based on sustainable development principles, an integrated and holistic approach needs to be pursued. Not only system dynamics has the essential tools for systemic analysis, but also it is an appropriate approach for perceiving problems and offering solutions. The aim of this study is to present an integrated and systemic model to analyze the existent dynamics in sustainable development of Iran’s farming industry. Design/methodology/approach To achieve the mathematical equations and values of model’s variables, a simulation is carried out using the data gathered from Damavand city, Tehran, Iran. The parameters of the model are selected and calculated considering the specifications of this case study. After modeling the system, Vensim simulation software has been employed, followed by identifying the leverage points of the model; then, a set of scenarios have been generated and tested through simulation to achieve a much improved understanding of the system’s dynamic behavior. Findings The results show that two factors are among the most important leverage points: “profit gained from agriculture” and “required water”. The authors could also observe that the main issue in Damavand is the lack of water for which saving policies would be a major step toward agriculture’s sustainable development in this area. Originality/value The paper shows how System Dynamics simulation approach can provide deep insights into the field of sustainable development and present efficient policies for agriculture sustainability.
22
Bitterman, Patrick, and Christopher J. Koliba. "Modeling Alternative Collaborative Governance Network Designs: An Agent-Based Model of Water Governance in the Lake Champlain Basin, Vermont." Journal of Public Administration Research and Theory 30, no. 4 (April 15, 2020): 636–55. http://dx.doi.org/10.1093/jopart/muaa013.
Full textAbstract:
Abstract With the widespread use of collaborative governance mechanisms for mitigating water pollution, an opportunity exists to test alternative institutional designs based on collaborative governance theory using computer simulation models, particularly when there is a clear relationship between governance networks, observable resource allocation decisions, and measurable outcomes. This is especially the case for wicked problems like nonpoint source water pollution where there are compelling questions regarding how best to design policies, allocate funds, and build administrative capacity to meet water quality standards. We present an agent-based model (ABM) of water governance for the Lake Champlain Basin to simulate the impacts of alternative collaborative governance arrangements on the development of suites of water quality projects. The ABM is connected or coupled with land use and phosphorus load accumulation models that are informed by existing hydrologic models, project datasets, and state-set load reduction targets. We find that regionally arranged collaborative governance in water quality project planning and implementation can lead to better water quality outcomes, thereby affirming one of the central premises of collaborative governance regime theory. We also find that externally mandated collaboration, as opposed to voluntary, self-initiated collaboration, can lead to better water quality outcomes, adding to our understanding of which type of collaborative governance arrangement is best suited to the specific contexts of this case. Further, without adequate administrative capacity in the form of human resources located in central network actors to manage project funds, “administrative bottlenecks” may form and money can go unspent. This research demonstrates the efficacy of using simulations of alternative institutional design for theory testing and tuning, and policy prototyping.
23
Tkalich, Pavlo, and Chao Xiaobo. "ACCURATE SIMULATION OF OIL SLICKS." International Oil Spill Conference Proceedings 2001, no. 2 (March 1, 2001): 1133–37. http://dx.doi.org/10.7901/2169-3358-2001-2-1133.
Full textAbstract:
ABSTRACT Over the past three decades, simplified empirical formulas contributed greatly in a rapid evaluation of oil slicks spreading and drifting. In recent years, however, with the development of efficient numerical schemes and enormous improvement of computational resources, new alternatives have appeared. Nowadays oil spill operational models can afford to use more accurate and physically relevant mathematical formulations for the oil slick dynamics simulation. The recently developed Multiphase Oil Spill Model (MOSM) describes the oil slick dynamics within the kinetically coupled two-layer approach. For the upper layer, the oil slick thickness is computed using the layer-averaged Navier-Stokes model, rewritten as the quasilinear mass-transport equation. The lower layer is represented by the oil droplet mixture in the wave-mixing layer of the water column. The oil horizontal movement within the slick and the mixing layer is calculated using a highly accurate numerical scheme. The theoretical model is verified against most popular empirical formulas. The model is used to explore the combined influence of wind and shear currents on the oil slick evolution.
24
Tararico, Yu O., R. V. Saidak, and Yu V. Soroka. "RESULTS AND PROSPECTS OF RESEARCH ON THE EVALUATION AND RATIONAL USE OF AGRO-RESOURCE POTENTIAL OF AGRICULTURAL AREAS." Міжвідомчий тематичний науковий збірник "Меліорація і водне господарство", no. 2 (December 12, 2019): 186–98. http://dx.doi.org/10.31073/mivg201902-194.
Full textAbstract:
Relevance of research. In order to ensure energy independence and food security of the state in the context of current climate change trends, the importance of reclaimed territories is increasing. By objectively assessing the agro-resource potential of individual regions and developing a strategy for its rational use, it is possible to significantly improve the productivity, stability, environmental balance and economic efficiency of agro-ecosystems. Objective of research. The objective of the research is to assess the water supply of the territory of Ukraine under changing climate and establish the mechanism of its influence on the bioproductivity of agricultural lands, theoretically substantiate and elaborate perspective options for the development of bioenergy reclaimed agroecosystems and specify the research areas on the reassessment of rational use of water resources in optimal combination with other components of agricultural production in a rapidly changing climate. Research methodology. The estimation and forecasting of the conditions of water supply were carried out on the basis of the climate water balance (CWB). Spatial analysis of climate data and crop yields was performed by IDW interpolation using QGIS3 software. To determine the promising areas for the development of agricultural production systems the results of stationary field experiments were used, which were processed by conventional methods of system analysis. Promising scenarios for the development of reclaimed agroecosystems were created using multivariate computer simulation in the “Agroecosystem” software package.
Research results and main conclusions. It was established that, compared to 1961-1990, the area with a water supply shortage increased from 56 to 60%, and the area of sufficient and excessive humidity, on the contrary, decreased from 33 to 24%. Provided that the general trend of increasing temperature in the territory of Ukraine continues, the share of agricultural lands with scarce water balance by 2050 may increase up to 67%, and by 2100 – up to 80% of their total area. It was found that grain production remains at the level of 1990 in the steppe zone due to almost annual lack of moisture while in the forest-steppe and Polissia regions it increased up to 80-90%. It is important that, even in the humid zone, the risks of adverse water and air conditions for soils increased significantly, particularly as regards the soils of light texture. Consequently, sustainable high-yield agriculture without the development and implementation of effective regional measures on improving water supply is becoming problematic in most of Ukraine. Based on computer simulation, it was proved that the transition of domestic agricultural production to the principles of balanced organic food production, industrial raw materials and bioenergy resources will dramatically increase the profitability of agricultural enterprises, improve the ecological state of the environment and create a comfortable living environment for rural population and substantially strengthen the food security and energy independence of the state. Prospects. To achieve high efficiency and competitiveness of the agroindustrial complex of Ukraine, it is necessary to carry out a comprehensive study on the reassessment of rational use of water resources in optimal combination with other components of agricultural production under rapidly changing climate. On this scientific basis, it is advisable to create a unified system of water management for the effective use of the state's land fund, in particular the reclaimed areas.
25
Puch-Giner, Ignasi, Alexis Molina, Martí Municoy, Carles Pérez, and Victor Guallar. "Recent PELE Developments and Applications in Drug Discovery Campaigns." International Journal of Molecular Sciences 23, no. 24 (December 17, 2022): 16090. http://dx.doi.org/10.3390/ijms232416090.
Full textAbstract:
Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several factors, including the significant improvements of traditional molecular modelling, the irruption of machine learning methods, the massive data generation, or the unlimited computational resources through cloud computing, the future of pharmacology seems to go hand in hand with in silico predictions. In this review, we summarize our recent efforts in such a direction, centered on the unconventional Monte Carlo PELE software and on its coupling with machine learning techniques. We also provide new data on combining two recent new techniques, aquaPELE capable of exhaustive water sampling and fragPELE, for fragment growing.
26
Liu, Ting. "Computer System Integration Technology of Hydraulic Engineering Design Based on Machine Learning Algorithm." Journal of Physics: Conference Series 2083, no. 3 (November 1, 2021): 032058. http://dx.doi.org/10.1088/1742-6596/2083/3/032058.
Full textAbstract:
Abstract With the development of water conservancy informatization, the research on water information system integration is born, which is the need of water conservancy informatization construction at present and also an urgent problem to be solved. Based on the machine learning algorithm, combined with the actual needs of water conservancy business field, the overall framework of computer system integration for water conservancy engineering design is put forward. The overall framework includes: resource layer, comprehensive integration layer and user layer, which exchange data with configuration monitoring software by means of communication. The analytic hierarchy process in machine learning algorithm is used to construct the risk prediction index system, and the risk prediction index and initial prediction results are taken as the input and output of extreme learning machine algorithm in machine learning algorithm. The simulation results show that the prediction accuracy of this method is 94.88%, which can accurately predict the risks existing in hydraulic engineering design computer system and improve the system security.
27
Sun, Changqing, Yulong Bao, Battsengel Vandansambuu, and Yuhai Bao. "Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia." Sustainability 14, no. 23 (November 25, 2022): 15707. http://dx.doi.org/10.3390/su142315707.
Full textAbstract:
Modeling and predicting land use/cover change (LUCC) and identifying its drivers have been a focus of research over the past few decades. In order to solve the problem of land resource degradation in typical pastoral areas, reveal the temporal and spatial evolution characteristics of LUCC, and the contradiction between man and land in sustainable development, we analyze the Gurvanbulag area of Bulgan province, Mongolia, where grassland degradation is relatively serious. The LUCC data in 2000, 2010 and 2019 were obtained through interpreting human-computer interaction. On this basis, the same binary logistic regression (BLR) results were input into the multi-criteria evaluation analytic hierarchy process (MCE_AHP) of CLUE-S and CA_Markov models. The Current Trends (CT) and Ecological Protection (EP) development scenarios were used to predict the temporal and spatial evolution characteristics of LUCC in 2030 and 2040. The results show: (1) both models can effectively simulate the LUCC in 2019, and the CLUE-S model was significantly better than the CA_Markov model. (2) From 2000 to 2019, the LUCC in this region was dominated by a decrease in water and the growth of grassland and other land, indicating that the region is at the risk of land resource degradation. (3) In a multi-scenario development study, by 2030 and 2040, both models predicted that the EP development scenario is more effective in protecting the local ecological environment and it is easier to achieve the sustainability of land resources, than the CT development scenario. Combined with local policy demands and the prediction results of restraining land resource degradation, CLUE-S was significantly higher than the CA_Markov model, indicating that in typical pastoral areas, the former is more in line with the need for sustainable development of the local ecological environment than the latter.
28
Pejic Bach, Mirjana, Emil Tustanovski, Andrew W. H. Ip, Kai-Leung Yung, and Vasja Roblek. "System dynamics models for the simulation of sustainable urban development." Kybernetes 49, no. 2 (June 27, 2019): 460–504. http://dx.doi.org/10.1108/k-04-2018-0210.
Full textAbstract:
Purpose System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to review system dynamics applications in the simulation of sustainable urban development over a period from 2005 to 2017. Design/methodology/approach The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed its focus from the modelling of environmental problems to more complex models, portraying the multidimensional socio-economic processes that have an impact on the sustainability of urban development. Analysed case studies most often use the behaviour reproduction test for model validation, but without a unified approach. In most cases, modelling has been done in China, Germany and the USA, while urban development in the Eastern European countries, Africa and Latin America has not often been investigated. This paper indicates the knowledge gaps and suggests future research directions. Findings Papers that report the use of system dynamics modelling reveal a wide range of applications in urban sustainability. The analysis shows significant emphasis on environmental problems, while the interest for modelling social problems has been increasing during the last several years. Most of the modelled problems examine the sustainability of resources (land, water) and waste management, which are used for insights into the reasons for the system behaviour, forecasting future behaviour and policy testing. Originality/value The presented models were developed in most cases for the purpose of understanding the phenomena examined, as well as the future use of the models in policy planning. This brings us back to the need for greater stakeholder involvement, not only in the initial phase, but also during the whole modelling process, which could increase understanding, use and ownership of the models in the future, and thus increase their practical application.
29
Xu, Feng, Nan Xiang, Ataru Nakamura, Takeshi Mizunoya, Susumu Uchida, and Yoshiro Higano. "Simulation Model Construction of Comprehensive Evaluation of Groundwater Reasonable and Effectively Utilization in Tokyo, Japan." Advanced Materials Research 518-523 (May 2012): 4241–46. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4241.
Full textAbstract:
After 1970s, Japan has established relative laws and regulations to constraint industrial water, building water usage and forbidden unreasonable ground water exploitation which is caused by large amount of groundwater exploitation in 1960s. Such measures solved ground collapse problem on one hand indeed; on the other hand, along with the prevention of ground water exploitation, the groundwater level recovered to the normal level, and the floating power brought by groundwater rising threatened the architecture underground. The claim for groundwater utilization is rising. Also, groundwater has high value and good quality to supply water resource. Therefore, this research aims to construct a comprehensive groundwater exploitation model to clarify the sustainable groundwater utilization and economic, environmental impacts brought by groundwater usage. This new comprehensive model combined optimal groundwater exploitation model, water cycle model and socio-economic model together to practice optimal simulation. Through computer scenarios, we can clearly ensure groundwater utilization amount and method considering the sustainable development. Furthermore, the simulation model can be applied in other regions adjusting by specific characteristics.
30
Roehl, Edwin A., and Paul A. Conrads. "Decision Support System for Optimally Managing Water Resources to Meet Multiple Objectives in the Savannah River Basin." Journal of South Carolina Water Resources, no. 2 (June 1, 2015): 16–23. http://dx.doi.org/10.34068/jscwr.02.03.
Full textAbstract:
Managers of large river basins face conflicting demands for water resources such as wildlife habitat, water supply, wastewater assimilative capacity, flood control, hydroelectricity, and recreation. The Savannah River Basin, for example, has experienced three major droughts since 2000 that resulted in record low water levels in its reservoirs, impacting dependent economies for years. The Savannah River estuary contains two municipal water intakes and the ecologically sensitive freshwater tidal marshes of the Savannah National Wildlife Refuge. The Port of Savannah is the fourth busiest in the United States, and modifications to the harbor to expand ship traffic since the 1970s have caused saltwater to migrate upstream, reducing the freshwater marsh’s acreage more than 50 percent. A planned deepening of the harbor includes flow-alteration features to minimize further migration of salinity, whose effectiveness will only be known after all construction is completed. One of the challenges of large basin management is the optimization of water use through ongoing regional economic development, droughts, and climate change. This paper describes a model of the Savannah River Basin designed to continuously optimize regulated flow to meet prioritized objectives set by resource managers and stakeholders. The model was developed from historical data using machine learning, making it more accurate and adaptable to changing conditions than traditional models. The model is coupled to an optimization routine that computes the daily flow needed to most efficiently meet the water-resource management objectives. The model and optimization routine are packaged in a decision support system that makes it easy for managers and stakeholders to use. Simulation results show that flow can be regulated to substantially reduce salinity intrusions in the Savannah National Wildlife Refuge, while conserving more water in the reservoirs. A method for using the model to assess the effectiveness of the flow-alteration features after the deepening also is demonstrated.
31
Liu, Qi, Dianwu Wang, Yulong Zhang, and Li Wang. "Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model." Complexity 2021 (January 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/8827046.
Full textAbstract:
The Biliu River is the largest river in Dalian. The occurrence of floods and droughts in this basin has extremely important impacts on local industry, agriculture, and urban development. For a long time, the annual distribution of precipitation in the Biliu River Basin is extremely uneven, the river runoff varies greatly from year to year and season to year, floods and droughts occur frequently, and serious soil erosion results in fragile ecological environment and severe shortage of water resources. In this paper, the spatial and temporal changes of rainfall and runoff in the Biliu River Basin are studied through the coupling of the MIKE 11 model and the MIKE SHE model. The hydrological changes in the Biliu River Basin are simulated. The coupled model is verified by monthly runoff data from 1996 to 2015, and the simulation values are found to be true. The values match well. Based on the cyclical pattern of precipitation and runoff in the Biliu River Basin, the rainfall and runoff data in the Biliu River Basin from 2016 to 2030 are derived. The MIKE SHE/MIKE 11 coupling model is used to predict the Biliu River from 2016 to 2030. The results show that flood disasters are expected to occur in August 2020, July 2025, and July 2030, which can provide a basis for hydrological management in the Biliu River Basin.
32
Wegayehu, Eyob Betru, and Fiseha Behulu Muluneh. "Multivariate Streamflow Simulation Using Hybrid Deep Learning Models." Computational Intelligence and Neuroscience 2021 (October 27, 2021): 1–16. http://dx.doi.org/10.1155/2021/5172658.
Full textAbstract:
Reliable and accurate streamflow simulation has a vital role in water resource development, mainly in agriculture, environment, domestic water supply, hydropower generation, flood control, and early warning systems. In this context, these days, deep learning algorithms have got enormous attention due to their high-performance simulation capacity. In this study, we compared multilayer perceptron (MLP), long short-term memory (LSTM), and gated recurrent unit (GRU) with the proposed new hybrid models, including CNN-LSTM and CNN-GRU. Hence, we can simulate one-step daily streamflow in different agroclimatic conditions, rolling time windows, and a range of variable input combinations. The analysis used daily multivariate and multisite time series data collected from Awash River Basin (Borkena watershed: Ethiopia) and Tiber River Basin (Upper Tiber River Basin: Italy) stations. The datasets were subjected to rigorous quality control processes. Consequently, it rolled to a different time lag to remove noise in the time series and further split into training and testing datasets using a ratio of 80 : 20, respectively. Finally, the results showed that integrating the GRU layer with the convolutional layer and using monthly rolled average daily input time series could substantially improve the simulation of streamflow time series.
33
Liu, Zhe, Wenke Li, Lei Zhang, and Jiajing Li. "Fine Geological Modeling of Complex Fault Block Reservoir Based on Deep Learning." Wireless Communications and Mobile Computing 2022 (March 9, 2022): 1–16. http://dx.doi.org/10.1155/2022/9670311.
Full textAbstract:
Nowadays, people’s demand for underground mineral resources is increasing, and geological disasters have occurred frequently in recent years. Geological disasters refer to geological effects or geological phenomena that are formed under the action of natural or man-made factors, causing loss of human life and property, and damage to the environment; such as landslides, collapses, mudslides, and ground subsidence. Under such a background, people must accelerate the exploration of complex geological structures. This paper is aimed at using the methods and concepts of deep reinforcement learning. Deep learning is to learn the inherent laws and representation levels of sample data. The information obtained during these learning processes is of great help to the interpretation of data such as text and images. In this way, the fine geology of complex fault-block reservoirs is modeled and studied. Geological structures and phenomena are discussed through convolutional neural network models and computer techniques. At the same time, the multitask bird recognition network is used to extract and classify geological images, so as to construct geological model maps with different spatial structures. Finally, the quality of the fault reconstruction model, the calculation of reservoir geological simulation reserves, and the evaluation of the water injection development effect of complex fault blocks are analyzed. In the evaluation of the development effect of water injection in complex fault blocks, comparing the relationship curve between the actual comprehensive water content and the oil recovery factor with the standard curve, the comprehensive water content of the initial block increased rapidly. Through timely and dynamic water allocation and comprehensive management, the water cut rising speed is controlled. The current comprehensive water cut of the reservoir is between 60% and 80%, the actual curve is between 25% and 35%, and the estimated waterflooding recovery is about 30%.
34
Wen, Tong, Wen Chen, Liang Zhang, and Xiaoming Liu. "Study on Sponge Campus Planning and Construction in Hilly Areas Under the Concept of Sponge City-A Case Study Hunan City University." Open House International 44, no. 3 (September 1, 2019): 130–35. http://dx.doi.org/10.1108/ohi-03-2019-b0031.
Full textAbstract:
Under the background of rapid urbanization, all kinds of urban water problems have gradually come into being: local flooding frequently happens, water environment is deteriorated, water-supply is in tension, etc. Meanwhile, with rapid development of higher education in China, campus area and scale are gradually expanding, but traditional campus construction has many drawbacks. In order to promote sponge campus planning and construction of universities in hilly areas and provide demonstration windows for sponge city construction, based on deficiencies of campus construction of Hunan City University in the aspect of water resource utilization, we used ArcGis spatial analysis method, simulation method and comparative analysis method on Storm Water Management Model (SWMM) to establish sponge campus construction indexes, content system and optimal design strategies with objectives of campus water safety, water environment and water resource utilization. Results indicate that: difference between sponge campus planning and traditional campus planning mainly lies in rainfall management. We combed the design process of sponge campus planning in hilly areas from the perspective of rainfall management, and simulated the process of sponge facilities controlling the rainfall in the campus via computer model to verify reasonability of sponge facility planning and select the optimal planning and construction plan. This study has defined design process of sponge campus planning in hilly areas to a certain degree and provided a research basis for sponge campus planning and construction of universities, setting up a typical example and driving effects on solving urban local flooding problem and rainfall resource utilization in hilly areas.
35
Touseef, Muhammad, Lihua Chen, and Wenzhe Yang. "Assessment of Surface Water Availability under Climate Change Using Coupled SWAT-WEAP in Hongshui River Basin, China." ISPRS International Journal of Geo-Information 10, no. 5 (May 5, 2021): 298. http://dx.doi.org/10.3390/ijgi10050298.
Full textAbstract:
Climate change adversely affects the hydrological cycle at the basin level. This study integrated two models, the Soil and Water Assessment Tool (SWAT) for future climate prediction, and Water Evaluation and Planning (WEAP) for the simulation of water quantity in the Hongshui River Basin (HRB), to evaluate the impacts of climate change, which plays a significant role in the lives of inhabitants downstream of the basin. Downscaled monthly rainfalls and temperatures under four Representative Concentration Pathways (RCPs) emission scenarios from five global circulation models (GCMs) were used to generate streamflow using the SWAT model. Streamflow data (1991–2001) were used to calibrate and validate, with the period of 1991–1997 used for calibration and that of 1998–2001 used for validation. Six scenarios were established to evaluate the response of the basin under socio-economic scenarios. The simulated results show that precipitation and streamflow would likely undergo a slight increase. The available water resources would be sufficient to meet the existing needs until 2050. The results indicated that no water shortages exist under socio-economic, low, and medium climate change emission scenarios, however the basin will experience a water shortage under the high climate change emission scenario (RCP-8.5). The study proposed that, to ensure the sustainability of water resources, better long-term management policies are required to be implemented in the basin and to meet future downstream water needs.
36
Tucki, Karol, Remigiusz Mruk, Olga Orynycz, Andrzej Wasiak, Katarzyna Botwińska, and Arkadiusz Gola. "Simulation of the Operation of a Spark Ignition Engine Fueled with Various Biofuels and Its Contribution to Technology Management." Sustainability 11, no. 10 (May 16, 2019): 2799. http://dx.doi.org/10.3390/su11102799.
Full textAbstract:
Economic progress, development of transport, production of new cars, production of more and more energy, and the combustion of fossil fuels are causing huge changes that are currently occurring in the environment. Ecological problems of the contemporary economy combined with perspectives of resources exhaustion, as well as the need to follow sustainable rules of living, require the search for new fuels. Fuels which can assure their availability and good environmental performance are needed for maintaining sustainable transportation. Knowledge about the behavior of various fuels is necessary for realistic methods of technology management in transportation means and the fuel industry. This paper describes biofuels that can be an addition to petrol or can exist as standalone fuels. A simulation was carried out on an urban vehicle and the tested fuels were petrol 95, ethanol, methanol, and dimethyl ether. For the selected engine a simulation corresponding to that of the New European Driving Cycle (NEDC) test was created using the Scilab package. Based on this simulation, values of carbon dioxide and water vapor emission were determined. The fuel demand for each fuel mixture and the amount of air for the fuels used were also calculated (and verified on the basis of laboratory tests). It was demonstrated that addition of biofuel decreases emission of carbon dioxide, simultaneously increasing emission of water vapor. Biofuel additive also caused an increase in fuel consumption. Unfortunately, in the New European Driving Cycle test being investigated, carbon dioxide emissions in all cases exceeded the permissible level of 130 g CO2/km, which is bad news in the context of the further tightening of norms and standards. The simulation tests confirmed that when using the start/stop system and applying specific additives, the carbon dioxide emission decreases and the consumption of mixtures with the activated start/stop system is smaller. The analyzed problems and results of this analysis become more important in light of the Worldwide Harmonized Light Duty Vehicles Test Procedure (WLTP) standard, which became binding from September 2018 and applies to the sale of cars that had been approved prior (in accordance with the New European Driving Cycle standard). Although the NEDC standard appears obsolete the computer model simulating this type of test will be necessary in many cases. It is, however, needed and possible to develop a similar simulation procedure for WLTP tests.
37
Cui, Feng, Chong Jia, Xingping Lai, Yanbing Yang, and Shuai Dong. "Study on the Law of Fracture Evolution under Repeated Mining of Close-Distance Coal Seams." Energies 13, no. 22 (November 19, 2020): 6064. http://dx.doi.org/10.3390/en13226064.
Full textAbstract:
The western region of China is rich in mineral resources. The vigorous development of mineral resources has exacerbated the environmental and safety problems in the region. One of the important links to solve this problem is to control the development laws and distribution characteristics of the overburdened cracks in the mining of this area. In this paper, the Xiashijie coal mine 3-2 coal seam and 4-2 coal seam are examples of repeated mining, and are examined as the background, through theoretical analysis to optimize the size of the coal pillars in the lower section, using the 3DEC numerical simulation experiment method and the rise of the cracks in the short-distance coal seam. Repeated mining monitoring and analysis of the development law are used to ascertain distribution characteristics of overburdened cracks caused by the repeated mining process of the working face. The results show that: (1) By establishing a mechanical model of the overlying strata structure under short-distance coal seam group mining, and carrying out the force analysis of the double section coal pillar under repeated mining, the reasonable size of a lower section coal pillar was determined to be 70 m. (2) As the development height of a fracture progresses with the working face, its expansion rate undergoes four obvious changes: fluctuations within a certain range, the expansion rate reaches the peak after the rock formation is concentrated and broken, the cyclical change gradually decreases, and the expansion rate is zero after complete mining. (3) The fracture zone height of 222 and 224 face under repeated mining in the 4-2 coal seam was 19.56–22.31 times and 22.38–24.54 times larger, respectively, and the post-mining fracture extension of the face with larger width and deeper burial under repeated mining was higher than that of the adjacent face. This study provides scientific guidance for the rational division of coal pillars and the solution of the problem of water conservation mining under repeated mining in the adjacent face of a short-distance coal seam.
38
Mori, Taro, Yusuke Iwama, Hirofumi Hayama, and Emad Mushtaha. "Optimization of a Wood Pellet Boiler System Combined with CO2HPs in a Cold Climate Area in Japan." Energies 13, no. 21 (October 22, 2020): 5531. http://dx.doi.org/10.3390/en13215531.
Full textAbstract:
Hot water supply is one of the leading consumers of energy in the building sector in cold climate areas. The use of woody biomass is effective in reducing CO2 emissions in hot-water supply systems. This report deals with a system that combines a wood pellet boiler (PB) and a heat pump system with CO2 (CO2HP) that is used in a facility for disabled people. The following research was conducted. The operation of a hybrid system combining a PB and CO2HPs was investigated. While operating the system, four specific operations were developed as countermeasures to save on costs and reduce system troubles while reducing CO2 emissions. The processes and results are introduced. Numerical simulations were carried out to optimize the operation. The hot water temperature, water volume, and hot water loads were simulated. The influence of the water volume ratio on the cost and primary energy consumption under the requirements for safe system operation was studied. The regional economic ripple effects (REREs) of this system were studied. The wood pellet boiler is not only a measure for reducing primary energy consumption but can also play an important role in a regional economy for sustainable development in countries that import energy resources such as Japan.
39
Almeida, Emerson Pessanha de, Fernando das Graças Braga da Silva, and Victor Eduardo de Mello Valerio. "Losses in water distribution networks – a bibliometric review: general aspects and optimization." Research, Society and Development 10, no. 12 (September 26, 2021): e407101220659. http://dx.doi.org/10.33448/rsd-v10i12.20659.
Full textAbstract:
The research carried out in the water distribution networks is of great importance, given the social, environmental and economic impacts that have occurred due to the scarcity of water resources. Therefore, any scientific effort shown in research that studies water distribution systems is of great relevance. Techniques such as mathematical modeling, computer simulation and statistical methods are widely used in order to obtain more reliable answers, whether for the identification of the current situation of the network, as well as for the prediction of scenarios, failure events, increased demand, etc. The objective of this work is to carry out a bibliometric analysis to identify the state of the art of research that addresses the theme of water distribution networks for the control and reduction of the volume of water losses, which will serve as a guide for future works to to structure itself in the most relevant researches that study the theme. The developed methodology was able to analyze a metadata composed of 4188 documents taken from the Web of Science journals database. As a result, a geographical view of the theme was obtained, pointing out the main countries, affiliations, journals and researchers, as well as pointing out the main documents and relevance of the theme. It can be concluded after the results obtained that bibliometric analysis is an important tool for obtaining the state of the art. With it is possible to have a better understanding of the current situation in the development of research, familiarizing researchers with what is most current and relevant.
40
Hanasaki, Naota, Sayaka Yoshikawa, Yadu Pokhrel, and Shinjiro Kanae. "A global hydrological simulation to specify the sources of water used by humans." Hydrology and Earth System Sciences 22, no. 1 (January 29, 2018): 789–817. http://dx.doi.org/10.5194/hess-22-789-2018.
Full textAbstract:
Abstract. Humans abstract water from various sources to sustain their livelihood and society. Some global hydrological models (GHMs) include explicit schemes of human water abstraction, but the representation and performance of these schemes remain limited. We substantially enhanced the water abstraction schemes of the H08 GHM. This enabled us to estimate water abstraction from six major water sources, namely, river flow regulated by global reservoirs (i.e., reservoirs regulating the flow of the world's major rivers), aqueduct water transfer, local reservoirs, seawater desalination, renewable groundwater, and nonrenewable groundwater. In its standard setup, the model covers the whole globe at a spatial resolution of 0.5° × 0.5°, and the calculation interval is 1 day. All the interactions were simulated in a single computer program, and all water fluxes and storage were strictly traceable at any place and time during the simulation period. A global hydrological simulation was conducted to validate the performance of the model for the period of 1979–2013 (land use was fixed for the year 2000). The simulated water fluxes for water abstraction were validated against those reported in earlier publications and showed a reasonable agreement at the global and country level. The simulated monthly river discharge and terrestrial water storage (TWS) for six of the world's most significantly human-affected river basins were compared with gauge observations and the data derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission. It is found that the simulation including the newly added schemes outperformed the simulation without human activities. The simulated results indicated that, in 2000, of the 3628±75 km3 yr−1 global freshwater requirement, 2839±50 km3 yr−1 was taken from surface water and 789±30 km3 yr−1 from groundwater. Streamflow, aqueduct water transfer, local reservoirs, and seawater desalination accounted for 1786±23, 199±10, 106±5, and 1.8±0 km3 yr−1 of the surface water, respectively. The remaining 747±45 km3 yr−1 freshwater requirement was unmet, or surface water was not available when and where it was needed in our simulation. Renewable and nonrenewable groundwater accounted for 607±11 and 182±26 km3 yr−1 of the groundwater total, respectively. Each source differed in its renewability, economic costs for development, and environmental consequences of usage. The model is useful for performing global water resource assessments by considering the aspects of sustainability, economy, and environment.
41
Li, Zongyu, Zhilin Sun, Jing Liu, Haiyang Dong, Wenhua Xiong, Lixia Sun, and Hanyu Zhou. "Prediction of River Sediment Transport Based on Wavelet Transform and Neural Network Model." Applied Sciences 12, no. 2 (January 10, 2022): 647. http://dx.doi.org/10.3390/app12020647.
Full textAbstract:
The sedimentation problem is one of the critical issues affecting the long-term use of rivers, and the study of sediment variation in rivers is closely related to water resource, river ecosystem and estuarine delta siltation. Traditional research on sediment variation in rivers is mostly based on field measurements and experimental simulations, which requires a large amount of human and material resources, many influencing factors and other restrictions. With the development of computer technology, intelligent approaches have been applied to hydrological models to establish small information in river areas. In this paper, considering the influence of multiple factors on sediment transport, the validity of predicting sediment transport combined with wavelet transforms and neural network was analyzed. The rainfall and runoff cycles are extracted and decomposed into time series sub-signals by wavelet transforms; then, the data post-processing is used as the neural network training set to predict the sediment model. The results show that wavelet coupled neural network model effectively improves the accuracy of the predicted sediment model, which can provide a reference basis for river sediment prediction.
42
Samaei, Fatemeh, Fatemeh Yazdian, Farid Menaa, and Ashrafalsadat Hatamian-Zarmi. "Bioremediation of Vanadium from Contaminated Water in Bioreactor Using Methylocystis hirsuta Bacterium: Comparisons with In Silico 2D and 3D Simulations." Sustainability 14, no. 14 (July 19, 2022): 8807. http://dx.doi.org/10.3390/su14148807.
Full textAbstract:
The elimination of poisonous wastes (e.g., heavy metals) from polluted water remains challenging, both in industrialized societies and developing countries. To overcome this human health and environmental issue, biotechnology (e.g., biosorption, bioaccumulation) is being applied as an economic and eco-friendly option compared to physicochemical methods (e.g., adsorption, membrane filtration, and coagulation–flocculation). The development of the appropriate biotechnology process (i.e., bioremediation) requires more accurate information and details, which are possible to obtain through the design of a set of resources and various computer applications. In sustainable remediation, microorganisms are one of the feasible choices for modifying and remaking the natural condition. In this in silico study, the methanotroph Methylocystis hirsuta (M. hirsuta) was used for the first time to simulate the removal of vanadium (Vn) from contaminated water through two-dimensional (2D) and three-dimensional (3D) modeling using COMSOL 4.4 software. Rotating machinery-laminar flow, transport of diluted species, and reaction engineering physics were also used. Independency analyses of the numerical network, concentration contour, velocity contour, concentration–time, and velocity–distance charts were also calculated. The data consistently showed that the removal of Vn increased with increasing velocity (which depends on time). Indeed, the amount of pollutant removal at 120 rpm, 160 rpm, and 200 rpm was maintained at 10%, 12%, and 12%, respectively. The simulation results showed excellent conformity (less than 20%) with previously reported laboratory results. This proposed model of bioremediation is thus a reliable and accurate solution for the removal of heavy metals (i.e., Vn and possibly others) from polluted areas (such as contaminated water).
43
Almeida, Bruna, and Pedro Cabral. "Water Yield Modelling, Sensitivity Analysis and Validation: A Study for Portugal." ISPRS International Journal of Geo-Information 10, no. 8 (July 21, 2021): 494. http://dx.doi.org/10.3390/ijgi10080494.
Full textAbstract:
The spatially explicit assessment of freshwater is key to introduce the ecosystem services (ES) concept into decision-making processes. Many tools are being developed to model water balance and to analyze the effects of meteorological conditions on water ES behaviors at multiple spatial scales. The current study uses the InVEST Annual Water Yield Model (WYM) to assess water availability in watersheds of the mainland of Portugal. The methodology included sensitivity analysis to test different parameters of the model and validation using the European Environment Agency (EEA) database on the quantity of Europe’s water resources. To evaluate the models’ sensitivity, Pearson’s correlation coefficients and statistical methods were calculated for each simulation. Results at the national level show a correlation coefficient of 0.803 with statistical significance for 0.01 one-tail. Water yield was underestimated by 56.5 mm/ha/year in the North of the country and overestimated by 58.1 mm/ha/year in the South. This difference was explained through the spatial-temporal assessment of the main climatic variables used as input. This study contributes to a methodology to assess the level of confidence in the WYM outputs and can be used to support the trustworthiness of water availability studies, using open-access data and software.
44
Koch, Jennifer, Jack R. Friedman, Stephanie Paladino, Sophie Plassin, and Kyndra Spencer. "Conceptual modeling for improved understanding of the Rio Grande/Río Bravo socio-environmental system." Socio-Environmental Systems Modelling 1 (July 2, 2019): 16127. http://dx.doi.org/10.18174/sesmo.2019a16127.
Full textAbstract:
Social processes are essential components of human-environment systems and their dynamics. However, modeling a tightly coupled socio-environmental system over a large area and across wide social and environmental diversity presents several challenges, given the complexity of the interactions and their spatial heterogeneity. The transboundary Rio Grande/Río Bravo (RGB) Basin is an excellent case study to address these challenges. Water scarcity and over-allocation of water are present in a highly engineered system with extensive damming and a complex structure of agreements and compacts that govern the distribution of hydrological resources among users. Since no basin-wide approaches to modeling the RGB as a socio-environmental system exist, we attempt to close this gap. Building on data collected through extensive ethnographic fieldwork, we used a structured, collaborative, and integrative approach for documenting existing knowledge on and modeling of the RGB socio-environmental system. We assess different models for conceptualizing human behavior applied in the RGB, identify a need to redefine the (spatial) boundaries of the system and produce inductively generated knowledge about the interlinkages of social processes with environmental system components in the form of a semi-quantitative conceptual model. Our research demonstrates an alternative to ad-hoc approaches to defining “the social” in socio-environmental models and is a first step towards the development of a basin-wide computer simulation model of the RGB socio-environmental system.
45
Qi, Siyu, Minxue He, Zhaojun Bai, Zhi Ding, Prabhjot Sandhu, Yu Zhou, Peyman Namadi, Bradley Tom, Raymond Hoang, and Jamie Anderson. "Multi-Location Emulation of a Process-Based Salinity Model Using Machine Learning." Water 14, no. 13 (June 24, 2022): 2030. http://dx.doi.org/10.3390/w14132030.
Full textAbstract:
Advances in machine-learning techniques can serve practical water management needs such as salinity level estimation. This study explores machine learning, particularly deep-learning techniques in developing computer emulators for a commonly used process model, the Delta Simulation Model II (DSM2), used for salinity estimation in California’s Sacramento-San Joaquin Delta (Delta). We apply historical daily input data to DSM2 and corresponding salinity simulations at 28 study locations from 1990 to 2019 to train two machine-learning models: a multi-layer perceptron (MLP) and Long-Short-Term Memory (LSTM) networks in a multi-task learning framework. We assess sensitivity of both networks to the amount of antecedent input information (memory) and training data to determine appropriate memory size and training data length. We evaluate network performance according to several statistical metrics as well as visual inspection. The study further investigates two additional networks, the Gated Recurrent Unit (GRU) and Residual Network (ResNet) in salinity modeling, and compares their efficacy against MLP and LSTM. Our results demonstrate strong performance of the four neural network models over the study period, achieving absolute bias below 4%, plus near-perfect correlation coefficients and Nash–Sutcliffe efficiency coefficients. The high complexity LSTM shows slight performance edge. We further show that deeper and wider versions of MLP and LSTM yield only marginal benefit over their baseline counterparts. We also examined issues related to potential overfitting by the proposed models, training data selection strategies, and analytical and practical implications. Overall, this new study indicates that machine-learning-based emulators can efficiently emulate DSM2 in salinity simulation. They exhibit strong potential to supplement DSM2 in salinity modeling and help guide water resource planning and management practices for the Delta region.
46
Bhandralia, Ayesha, Resham Arya, S. N. Panda, and Sachin Ahuja. "Polyhouse Agricultural Marketing System Using Big Data Hadoop." International Journal of Advances in Applied Sciences 5, no. 2 (June 1, 2016): 78. http://dx.doi.org/10.11591/ijaas.v5.i2.pp78-84.
Full textAbstract:
Agriculture is to cultivate and produce crops and livestock products. Agriculture in its associated sectors is unquestionably the largest livelihood provider, in the broad areas of rural India. With the emergence of high tech agriculture farming known as Polyhouse farming came into existence. Polyhouse farming is an alternative new technique which reduces clinging on to natural procedures that are very basic needs of agriculture i.e. rainfall, temperature, humidity and geographical conditions and this result in the most advantageous use of water and land resources. Polyhouse advances to create suitable microclimates, which favour the crop production by simulation of artificial environment using latest computer assisted technology. Yet polyhouse product marketing is an uncovered area which is still neglected and there is a strong need to for an effective marketing intervention or channelization. The liberalized trade environment in general has added another dimension to the poverty of farmers and uncertainty about the future. The paper describes the long established approach of marketing concept of polyhouse agriculture. The relationship between development, marketing and accessibility in polyhouse agriculture is reviewed. We have detected various inadequate parameters, and recognized the need of an effective polyhouse marketing system which may have beneficial impact on farmers.
47
Maan, Gurveek S., Jagadish P. Patra, and Ripudaman Singh. "A Hydro-Informatic Approach For Estimation Of Design Flash-Flood In Bargi Dam Cross-Section Of Narmada River, India." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 13, no. 2 (June 24, 2020): 104–14. http://dx.doi.org/10.24057/2071-9388-2019-178.
Full textAbstract:
Estimation of design flood is imperative for hydraulic designs of spillways and various other water resources development projects as well as very essential for flood risk assessment. The objective of the present study is to apply Geographical Information System (GIS) supported hydro informatics approach for estimation of design flash-flood in Bargi dam cross-section. A criterion used for estimation of design flash flood is validated by central water commission (CWC). A hydrologic modelling software (HEC-GeoHMS) is used for the delineation of basin characterises for simulation of the precipitation-runoff process of the dendritic basin system. The SUH (Synthetic Unit Hydrograph) and flood hydrographs for 25, 50 and 100 year return periods are computed along with time distribution curve which can be used to derive the time distribution co-efficient of storm rainfall in the sub-basins for the rainstorm of any duration. It is observed in this research that the peak characteristics of the design flash-flood are more perceptive to the various design storm pattern. It is demonstrated that flood hydrographs are important in flood-risk management. The results attained exhibit the capability of the flood hydrograph to describe the effects of different hydraulic systems.
48
Li, Chen, Baohui Men, Shiyang Yin, Teng Zhang, and Ling Wei. "Research into the Optimal Regulation of the Groundwater Table and Quality in the Southern Plain of Beijing Using Geographic Information Systems Data and Machine Learning Algorithms." ISPRS International Journal of Geo-Information 11, no. 10 (September 26, 2022): 501. http://dx.doi.org/10.3390/ijgi11100501.
Full textAbstract:
The purpose of this paper is to provide new ideas and methods for the sustainable use of groundwater in areas with serious groundwater overexploitation and serious groundwater pollution. Geographic information systems (GIS) were combined with machine learning algorithms, water resources optimization technology, and groundwater numerical simulation to optimize the regulation of the groundwater table and quality beneath the Daxing District in the southern plain of Beijing. By collecting local consumption and supply data and observations of the groundwater table and quality in the connected aquifer beneath Daxing for the years 2006–2020, the corresponding water demands and groundwater impact were extrapolated for the years 2021–2025 based on the basis of the existing development model. Through the combination of GIS and machine learning algorithms, the NO3-N concentration of local groundwater monitoring points in wet years, normal years, and dry years were predicted. With respect to NO3-N pollution, three new groundwater exploitation regimes were devised, which we numbered 1 to 3. The optimal allocation of water resources was then calculated for wet year, typical year, and dry year scenarios for the year 2025. By comparing the water shortage, groundwater utilization rate, and NO3-N pollution under the new groundwater exploitation regimes, the optimal groundwater exploitation mode for the three different types of hydrological year was determined. The results indicate that NO3-N pollution was greatly reduced after the adoption of the optimal regimes and that the groundwater table demonstrated rapid recovery. These results can be of great help in realizing the management, supervision, and regulation of groundwater by combining GIS with machine learning algorithms.
49
Dimoglova, Olha. "Strategic approaches to the formation of professional image of specialists in the conditions of implementation of the model of water transport companies development." Scientific Bulletin of Naval Academy XXIII, no. 1 (July 15, 2020): 159–65. http://dx.doi.org/10.21279/1454-864x-20-i1-020.
Full textAbstract:
Strategic approaches to the professional image formation of water transport professionals should be considered using a defined model of economic development for water transport companies, followed by a description of the recommended measures. The algorithm of transport company development model, as a rule, has its economic sectoral features where the company operates. However, in this approach, important elements of the participation of human resources in the implementation of the company development strategy, which, in particular, suggest possible variations of combinations of managerial decisions. Thus, the transport industry is no exception. The authors of the article propose the procedure and main stages in the strategy development for the professional image formation in terms of introduction of the model of water transport companies development, and introduce new definition of the concept "strategic role of professional image in the model of water transport companies development " and use it as a tool for internal analysis of transport company as a significant complement to the definition of the term "transport company development strategy". The existing experience of research on the problems of professional image influence on the final results of activity in the maritime industry companies taking into account differences of transport services are considered in the article. It is clarified that the analysis of the market in which the transport company operates is determined by the definition of the company's field of activity, research of competitors in this field, strategic assets and strategic competence. Considering that the strategy of transport company development is the mutualism of the main goals of the company and the system of management decisions, the authors of the research have identified the main stages of strategic analysis of the transport company activity, the main ways and requirements for the acquisition of strategic competence.
50
Wei, Na, Wantong Sun, Yingfeng Meng, Jinzhou Zhao, Bjørn Kvamme, Shouwei Zhou, Liehui Zhang, et al. "Hydrate Formation and Decomposition Regularities in Offshore Gas Reservoir Production Pipelines." Energies 13, no. 1 (January 3, 2020): 248. http://dx.doi.org/10.3390/en13010248.
Full textAbstract:
In recent years, the exploitation and utilization of offshore oil and gas resources have attracted more attention. In offshore gas reservoir production, wellbore temperature and pressure change continuously when water-bearing natural gas flows upward. The wellbore temperature is also affected by the low-temperature sea water. The combination of temperatures and pressures controlled by the upward flow, and cooling from the surrounding seawater frequently leads to the conditions of temperature and pressure for hydrate formation. This can lead to pipeline blockage and other safety accidents. In this study, we utilize mathematical models of hydrate phase equilibrium, wellbore temperature, wellbore pressure to study hydrate formation and decomposition in offshore gas reservoir production. Numerical solution algorithms are developed and numerical solutions are validated. The sensitivity influence of different parameters on the regions and regularities of hydrate formation and decomposition in wellbores are obtained through numerical simulations. It is found that increased daily gas production, water content, or geothermal gradient in offshore gas reservoir production pipelines results in less hydrate formation in the wellbores. Accordingly, the risk of wellbore blockage decreases and production safety is maintained. Decreased tubing head pressure or seawater depth results in similar effects. The result of this study establishes a set of prediction methods for hydrate formation and decomposition that can be used in the development of guidelines for safe construction design.