Статті в журналах з теми "Water resources and environmental modelling"

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1

McCuen, Richard H. "Time series modelling of water resources and environmental systems." Journal of Hydrology 167, no. 1-4 (May 1995): 399–400. http://dx.doi.org/10.1016/0022-1694(95)90010-1.

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2

Argent, Robert M. "Information modelling in water resources: an Australian perspective." Stochastic Environmental Research and Risk Assessment 28, no. 1 (June 15, 2013): 137–45. http://dx.doi.org/10.1007/s00477-013-0754-6.

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3

Kübeck, Ch, W. van Berk, and A. Bergmann. "Modelling raw water quality: development of a drinking water management tool." Water Science and Technology 59, no. 1 (January 1, 2009): 117–24. http://dx.doi.org/10.2166/wst.2009.766.

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Анотація:
Ensuring future drinking water supply requires a tough management of groundwater resources. However, recent practices of economic resource control often does not involve aspects of the hydrogeochemical and geohydraulical groundwater system. In respect of analysing the available quantity and quality of future raw water, an effective resource management requires a full understanding of the hydrogeochemical and geohydraulical processes within the aquifer. For example, the knowledge of raw water quality development within the time helps to work out strategies of water treatment as well as planning finance resources. On the other hand, the effectiveness of planed measurements reducing the infiltration of harmful substances such as nitrate can be checked and optimized by using hydrogeochemical modelling. Thus, within the framework of the InnoNet program funded by Federal Ministry of Economics and Technology, a network of research institutes and water suppliers work in close cooperation developing a planning and management tool particularly oriented on water management problems. The tool involves an innovative material flux model that calculates the hydrogeochemical processes under consideration of the dynamics in agricultural land use. The program integrated graphical data evaluation is aligned on the needs of water suppliers.
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4

Haines, Sophie. "Reckoning Resources." Science & Technology Studies 32, no. 4 (December 13, 2019): 97–118. http://dx.doi.org/10.23987/sts.64650.

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Participants in Belize’s water sector encounter challenges in identifying and living within shifting environments, and in conducting the work of expectation given ambiguities in rainfall patterns, historical records, institutional resources and political interests. Policymakers, scientists and practitioners generate and organise different kinds of foreknowledge as they anticipate future quantities, qualities and distribution of water, amid questions about the patterning of expertise and the nature of water as a resource. I present three ethnographic vignettes to address: the navigation of nonknowledge in water policy implementation; the frictions that arise in modelling workshops where trainees generate data-driven maps of future environments; and the situated sensing of environmental change. Building on a concept of ‘reckoning’ that highlights cross-cutting technical, relational, political and affective dimensions of meaning-making, I situate these foreknowledge practices in the socio-material contexts of environmental perception, socio-economic development, and the political lives of anticipation.
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5

Koch, H., S. Liersch, and F. F. Hattermann. "Integrating water resources management in eco-hydrological modelling." Water Science and Technology 67, no. 7 (April 1, 2013): 1525–33. http://dx.doi.org/10.2166/wst.2013.022.

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In this paper the integration of water resources management with regard to reservoir management in an eco-hydrological model is described. The model was designed to simulate different reservoir management options, such as optimized hydropower production, irrigation intake from the reservoir or optimized provisioning downstream. The integrated model can be used to investigate the impacts of climate variability/change on discharge or to study possible adaptation strategies in terms of reservoir management. The study area, the Upper Niger Basin located in the West African Sahel, is characterized by a monsoon-type climate. Rainfall and discharge regime are subject to strong seasonality. Measured data from a reservoir are used to show that the reservoir model and the integrated management options can be used to simulate the regulation of this reservoir. The inflow into the reservoir and the discharge downstream of the reservoir are quite distinctive, which points out the importance of the inclusion of water resources management.
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6

Ziemińska-Stolarska, Aleksandra, and Jerzy Skrzypski. "Review of Mathematical Models of Water Quality." Ecological Chemistry and Engineering S 19, no. 2 (January 1, 2012): 197–211. http://dx.doi.org/10.2478/v10216-011-0015-x.

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Review of Mathematical Models of Water Quality Water is one of the main elements of the environment which determine the existence of life on the Earth, affect the climate and limit the development of civilization. Water resources management requires constant monitoring in terms of its qualitative-quantitative values. Proper assessment of the degree of water pollution is the basis for conservation and rational utilization of water resources. Water quality in lakes and dams is undergoing continuous degradation caused by natural processes resulting from eutrophication and due to anthropogenic reasons. One of the tools that are used to solve problems of surface water pollution is modelling of changes which take place in lake waters and associated water quality changes. In the last thirty years a rapid development of mathematical modelling of water resources quality has been observed. A number of computer models have been designed which are successfully applied in practice in many countries, including Poland. This paper presents an overview of mathematical models for assessment of water quality in dam reservoirs. Description of the WASP program which will be used for modelling water quality in the Sulejow Reservoir was the focal point.
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7

Maier, Holger R. "Application of natural computing (computational intelligence) methods to water resources and environmental modelling." Mathematical and Computer Modelling 44, no. 5-6 (September 2006): 413–14. http://dx.doi.org/10.1016/j.mcm.2006.01.001.

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8

Dunn, S. M., N. Chalmers, M. Stalham, A. Lilly, B. Crabtree, and L. Johnston. "Modelling the influence of irrigation abstractions on Scotland’s water resources." Water Science and Technology 48, no. 10 (November 1, 2003): 127–34. http://dx.doi.org/10.2166/wst.2003.0556.

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Legislation to control abstraction of water in Scotland is limited and for purposes such as irrigation there are no restrictions in place over most of the country. This situation is set to change with implementation of the European Water Framework Directive. As a first step towards the development of appropriate policy for irrigation control there is a need to assess the current scale of irrigation practices in Scotland. This paper presents a modelling approach that has been used to quantify spatially the volume of water abstractions across the country for irrigation of potato crops under typical climatic conditions. A water balance model was developed to calculate soil moisture deficits and identify the potential need for irrigation. The results were then combined with spatial data on potato cropping and integrated to the sub-catchment scale to identify the river systems most at risk from over-abstraction. The results highlight that the areas that have greatest need for irrigation of potatoes are all concentrated in the central east-coast area of Scotland. The difference between irrigation demand in wet and dry years is very significant, although spatial patterns of the distribution are similar.
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9

RIPPON, P. W., and A. J. WYNESS. "Integrated Catchment Modelling as a Water Resources Management Tool." Water and Environment Journal 8, no. 6 (December 1994): 671–79. http://dx.doi.org/10.1111/j.1747-6593.1994.tb01164.x.

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10

Wardlaw, R. B., M. Hulme, and A. Y. Stuck. "Modelling the Impacts of Climatic Change on Water Resources." Water and Environment Journal 10, no. 5 (October 1996): 355–64. http://dx.doi.org/10.1111/j.1747-6593.1996.tb00064.x.

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11

Spérandio, Mathieu, Yves Comeau, and Leiv Rieger. "Editorial: Water Resource Recovery Modelling." Water Science and Technology 79, no. 1 (January 1, 2019): 1–2. http://dx.doi.org/10.2166/wst.2019.059.

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12

Chang, Fi-John, and Shenglian Guo. "Advances in Hydrologic Forecasts and Water Resources Management." Water 12, no. 6 (June 24, 2020): 1819. http://dx.doi.org/10.3390/w12061819.

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Анотація:
The impacts of climate change on water resources management as well as the increasing severe natural disasters over the last decades have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resources management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modelling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has the great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modelling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; and (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue can not only advance water sciences but can also support policy makers toward more sustainable and effective water resources management.
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13

Lavrenko, N. N. "Cartographical modelling of the ecological-resource potential of territory." Geobotanical mapping, no. 1996 (1997): 53–55. http://dx.doi.org/10.31111/geobotmap/1996.53.

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The multifacetous scientific activity of Victor B. Sochava has found reflection in the numerous contributions-monographs and cartographical works issued by him and his pupils during the 70–80s. Now they are represent a base for development of modern trends of thematic mapping including ecological ones. Ecological mapping involves the spatial reflection of various natural and technogenic structures and their relationships. The cartographical modelling of territory potential is referred to this set of problems. Modelling in this aspect represents the désintégration of complex natural systems through classification and formalization into simple inner elements. Concerning the resources we have to bear in mind renewed and interconnected components of nature (forest, soil, water). This problem is subdivided into a number of tasks, namely: 1. determination of functions and characters of interconnected resources; 2. modelling of environmental and row material ecological functions of resources; 3. subdivision of space into territorial ecosystems; 4. classification, formalization, normalization and construction of the resource potential of ecosystems. System transformation of basic theoretical principles, formulated by V. Sochava, enables ecological map to design and to model various states of resource potential of territory. Solving the problem of cartographic modelling of ecological-resource potential of territory one have to seek for universal territorial ecosystem. Such unit is a drainage basin. The privilege to deal with ecosystem of water-drainage basin lays in possibility of limit determination, analysis of interconnected resources (forest, soil, water) by means of objective models or «black box» model. The new ideas appear: concrete drainage basin represents a spatialnon renewal recourse: results of management may be estimated on the ecosystem exit. At the same time theoretical and practical experience in the mapping of all nature environment and economy components can be applied to the drainage basin ecosystems.
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14

de Boer, Tesse, Homero Paltan, Troy Sternberg, and Kevin Wheeler. "Evaluating Vulnerability of Central Asian Water Resources under Uncertain Climate and Development Conditions: The Case of the Ili-Balkhash Basin." Water 13, no. 5 (February 26, 2021): 615. http://dx.doi.org/10.3390/w13050615.

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The Ili-Balkhash basin (IBB) is considered a key region for agricultural development and international transport as part of China’s Belt and Road Initiative (BRI). The IBB is exemplary for the combined challenge of climate change and shifts in water supply and demand in transboundary Central Asian closed basins. To quantify future vulnerability of the IBB to these changes, we employ a scenario-neutral bottom-up approach with a coupled hydrological-water resource modelling set-up on the RiverWare modelling platform. This study focuses on reliability of environmental flows under historical hydro-climatic variability, future hydro-climatic change and upstream water demand development. The results suggest that the IBB is historically vulnerable to environmental shortages, and any increase in water consumption will increase frequency and intensity of shortages. Increases in precipitation and temperature improve reliability of flows downstream, along with water demand reductions upstream and downstream. Of the demand scenarios assessed, extensive water saving is most robust to climate change. However, the results emphasize the competition for water resources among up- and downstream users and between sectors in the lower Ili, underlining the importance of transboundary water management to mitigate cross-border impacts. The modelling tool and outcomes may aid decision-making under the uncertain future in the basin.
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15

Mustafa, Shaymaa, Arifah Bahar, Zainal Abdul Aziz, and Mohamad Darwish. "Solute transport modelling to manage groundwater pollution from surface water resources." Journal of Contaminant Hydrology 233 (August 2020): 103662. http://dx.doi.org/10.1016/j.jconhyd.2020.103662.

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16

Okumah, Murat, Ata Senior Yeboah, Elias Nkiaka, and Richard Apatewen Azerigyik. "What Determines Behaviours Towards Water Resources Management in a Rural Context? Results of a Quantitative Study." Resources 8, no. 2 (June 11, 2019): 109. http://dx.doi.org/10.3390/resources8020109.

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Анотація:
Recent environmental policies introduced to safeguard the quality of water resources have focussed on encouraging pro-environmental behaviours (PEB). This has resulted in a considerable volume of research output that seeks to investigate the determinants of PEB in the context of water resources management. However, there is a paucity of literature exploring the topic within the developing country context, though evidence suggests that these regions record the highest rates of water resource pollution. This limits our understanding of the determinants of PEB and thus constrains our ability to develop and implement effective policies to encourage uptake of PEB. Following this, we apply the Theory of Planned Behaviour to explore the determinants of PEB, using structural equation modelling to analyse survey data from rural Ghana. The evidence supports the hypothesis that attitudes and perceived behavioural control affects intentions, and this translates into pro-environmental behaviour. Results further indicate that attitude and perceived behavioural control have a strong explanatory power in people’s intentions, and intentions are influential drivers of pro-environmental behaviour. An explicit recognition of the role of situational factors could offer a profound understanding of the determinants of behaviours that promote water resources management and support the development and implementation of policies aimed at safeguarding the quality of water resources.
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17

Xu, P., F. Valette, F. Brissaud, A. Fazio, and V. Lazarova. "Technical-economic modelling of integrated water management: wastewater reuse in a French island." Water Science and Technology 43, no. 10 (May 1, 2001): 67–74. http://dx.doi.org/10.2166/wst.2001.0583.

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An integrated technical-economic model is used to address water management issues in the French island of Noirmoutier. The model simulates potable water production and supply, potable and non potable water demand and consumption, wastewater collection, treatment and disposal, water storage, transportation and reuse. A variety of water management scenarios is assessed through technical, economic and environmental evaluation. The scenarios include wastewater reclamation and reuse for agricultural and landscape irrigation as well as domestic non potable application, desalination of seawater and brackish groundwater for potable water supply. The study shows that, in Noirmoutier, wastewater reclamation and reuse for crop irrigation is the most cost-effective solution to the lack of water resources and the protection of sensitive environment. Some water management projects which are regarded as having less economic benefit in the short-term may become competitive in the future, as a result of tightened environmental policy, changed public attitudes and advanced water treatment technologies. The model provides an appropriate tool for water resources planning and management.
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18

McIntyre, Neil R., Thorsten Wagener, Howard S. Wheater, and Zeng Si Yu. "Uncertainty and risk in water quality modelling and management." Journal of Hydroinformatics 5, no. 4 (October 1, 2003): 259–74. http://dx.doi.org/10.2166/hydro.2003.0022.

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The case is presented for increasing attention to the evaluation of uncertainty in water quality modelling practice, and for this evaluation to be extended to risk management applications. A framework for risk-based modelling of water quality is outlined and presented as a potentially valuable component of a broader risk assessment methodology. Technical considerations for the successful implementation of the modelling framework are discussed. The primary arguments presented are as follows. (1) For a large number of practical applications, deterministic use of complex water quality models is not supported by the available data and/or human resources, and is not warranted by the limited information contained in the results. Modelling tools should be flexible enough to be employed at levels of complexities which suit the modelling task, data and available resources. (2) Monte Carlo simulation has largely untapped potential for the evaluation of model performance, estimation of model uncertainty and identification of factors (including pollution sources, environmental influences and ill-defined objectives) contributing to the risk of failing water quality objectives. (3) For practical application of Monte Carlo methods, attention needs to be given to numerical efficiency, and for successful communication of results, effective interfaces are required. A risk-based modelling tool developed by the authors is introduced.
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19

Peck, S. "Managing & protecting our water resources." Water, Air, & Soil Pollution 90, no. 1-2 (July 1996): 11–20. http://dx.doi.org/10.1007/bf00619263.

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20

Kuchar, Leszek, IWAŃSKI SŁAWOMIR, Leszek Jelonek, and Wiwiana Szalińska. "Modelling flow changes in potential climate change conditions – an example of the Kaczawa basin." Studia Geotechnica et Mechanica 34, no. 2 (October 1, 2012): 51–61. http://dx.doi.org/10.2478/sgm021205.

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Abstract Climate change, regardless of the causes shaping its rate and direction, can have far-reaching environmental, economic and social impact. A major aspect that might be transformed as a result of climate change are water resources of a catchment. The article presents a possible method of predicting water resource changes by using a meteorological data generator and classical hydrological models. The assessment of water resources in a catchment for a time horizon of 30-50 years is based on an analysis of changes in annual runoff that might occur in changing meteorological conditions. The model used for runoff analysis was the hydrological rainfall-runoff NAM model. Daily meteorological data essential for running the hydrological model were generated by means of SWGEN model. Meteorological data generated for selected climate change scenarios (GISS, CCCM and GFDL) for the years 2030 and 2050 enabled analysing different variants of climate change and their potential effects. The presented results refer to potential changes in water resources of the Kaczawa catchment. It should be emphasized that the obtained results do not say which of the climate change scenarios is more likely, but they present the consequences of climate change described by these scenarios.
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21

Hassanzadeh, Elmira, Amin Elshorbagy, Howard Wheater, and Patricia Gober. "Managing water in complex systems: An integrated water resources model for Saskatchewan, Canada." Environmental Modelling & Software 58 (August 2014): 12–26. http://dx.doi.org/10.1016/j.envsoft.2014.03.015.

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22

Jayasuriya, R. T. "Modelling the economic impact of environmental flows for regulated rivers in New South Wales, Australia." Water Science and Technology 48, no. 7 (October 1, 2003): 157–64. http://dx.doi.org/10.2166/wst.2003.0436.

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The management of water resources across Australia is undergoing fundamental reform in line with the priorities identified by the Council of Australian Governments (COAG) in 1994. This includes reforms to the specification of property rights, the way the resource is shared between the environment, irrigators and other users, charges for water use and the operational management of the river systems. In New South Wales (NSW), a series of water sharing plans (WSPs) is being developed for each water source in the State including regulated rivers, unregulated rivers and groundwater aquifers. These plans, which are the mechanisms by which COAG reforms are being implemented, are being developed by community-based water management committees (WMCs). The role of the WMCs is to develop a plan that achieves a balance between environmental, economic and social outcomes. NSW Agriculture has assisted a number of WMCs by quantifying the economic impact of proposed WSP options on the irrigation community. This paper outlines the approach taken by NSW Agriculture to quantifying economic impacts on irrigators in regulated catchments and provides results of case studies in the Lachlan River Catchment which is heavily developed for irrigation.
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23

Yang, Qingchun, Hao Wang, Haokun Mu, Jiannan Luo, Xinhua Bao, Jianmin Bian, and Jordi Delgado Martín. "Risk assessment of water resources and environmental carrying capacity in Yinchuan city." Human and Ecological Risk Assessment: An International Journal 25, no. 1-2 (February 10, 2019): 120–31. http://dx.doi.org/10.1080/10807039.2019.1573134.

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24

Teniou, Ahlem, Amina Rhouati, and Jean-Louis Marty. "Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring." Chemosensors 9, no. 3 (March 3, 2021): 50. http://dx.doi.org/10.3390/chemosensors9030050.

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Анотація:
In recent years, mathematical modelling has known an overwhelming integration in different scientific fields. In general, modelling is used to obtain new insights and achieve more quantitative and qualitative information about systems by programming language, manipulating matrices, creating algorithms and tracing functions and data. Researchers have been inspired by these techniques to explore several methods to solve many problems with high precision. In this direction, simulation and modelling have been employed for the development of sensitive and selective detection tools in different fields including environmental control. Emerging pollutants such as pesticides, heavy metals and pharmaceuticals are contaminating water resources, thus threatening wildlife. As a consequence, various biosensors using modelling have been reported in the literature for efficient environmental monitoring. In this review paper, the recent biosensors inspired by modelling and applied for environmental monitoring will be overviewed. Moreover, the level of success and the analytical performances of each modelling-biosensor will be discussed. Finally, current challenges in this field will be highlighted.
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25

Teegavarapu, Ramesh S. V. "Modeling climate change uncertainties in water resources management models." Environmental Modelling & Software 25, no. 10 (October 2010): 1261–65. http://dx.doi.org/10.1016/j.envsoft.2010.03.025.

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26

Zimmermann, M. "Water resources management in central northern Namibia using empirically grounded modelling." Journal of Water, Sanitation and Hygiene for Development 2, no. 2 (June 1, 2012): 112–23. http://dx.doi.org/10.2166/washdev.2012.090.

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Анотація:
In this paper, a new methodology for the analysis and assessment of water supply regimes is presented. The problems of water supply management in developing countries are multidimensional and interdependent. Conventional methods, which only deal with separated and isolated issues, are not appropriate to deal with these problems. The method presented here, however, can comprehend the whole system. Therefore, using this method, conclusions for the management of adapted institutional and technological transformations can be drawn. In this study, relevant system variables of a problem context are identified, and their interdependencies are assessed and interpreted. This is done by using a method of qualitative interview analysis (grounded theory) and a cybernetic modelling approach (sensitivity analysis). In doing so, it is possible to identify outstanding variables which are essential to understand the system. These variables reveal the weakest links, driving forces, systemic stabilisers and the sustainability indicators of the system. The case study area is the Cuvelai-Etosha-Basin in central northern Namibia where a large-scale water supply system has been established. The water supply in the region is determined by the dependence on external water resources, high precipitation variability, absence of perennial rivers, saline groundwater, population growth and urbanisation.
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27

Leonard, Lorne, and Christopher J. Duffy. "Essential Terrestrial Variable data workflows for distributed water resources modeling." Environmental Modelling & Software 50 (December 2013): 85–96. http://dx.doi.org/10.1016/j.envsoft.2013.09.003.

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28

Máñez, M., J. Froebrich, N. Ferrand, and A. Silva. "Participatory dam systems modelling: a case study of the transboundary Guadiana River in the Iberian Peninsula." Water Science and Technology 56, no. 4 (August 1, 2007): 145–56. http://dx.doi.org/10.2166/wst.2007.546.

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Анотація:
Modelling tools have been widely used to investigate best management practices. But in contrast to the plethora of modelling studies, the practical implementation of outcomes is comparatively small. There is an urgent need to implement results and to show the practical validation of the concept developed, especially against the context of water stress mitigation. The participative development of modelling studies as a joint effort of stakeholders and modellers is seen as a key to achieve a wider identification, acceptance, trust and applicability of results. Participatory planning in the water sector is also increasingly requested in water management, where tasks have been for clarified decades through different institutional arrangements and national laws. Stakeholder involvement in water resources management have been limited to what was long time seen as participation, merely information on action to be taken. In the last decade the need for participation has been reflected in different ways. In Europe, the implementation of the Water Framework Directive (WFD) under Art. 14, requires all the European countries to involve stakeholders in decision making processes on water resource management. The aim of this paper is to present and discuss the research framework and possible results of investigating dam modelling through participatory systems modelling. We introduce a structured approach to use participatory modelling (PM) for stimulating the integration of modelling and decision making, also as a way of implementation of some articles of the WFD. The results and the framing of this paper are part of the AQUASTRESS Project. The conceptual modelling has been developed by a multidisciplinary research team, local stakeholders and local experts. Some results are discussed and recommendations made.
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29

Paredes-Arquiola, Javier, Javier Macián, María Pedro-Monzonís, Edgar Belda, Andrea Momblanch, and Joaquín Andreu. "River water quality modelling under drought situations – the Turia River case." Proceedings of the International Association of Hydrological Sciences 374 (October 17, 2016): 187–92. http://dx.doi.org/10.5194/piahs-374-187-2016.

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Abstract. Drought and water shortage effects are normally exacerbated due to collateral impacts on water quality, since low streamflow affects water quality in rivers and water uses depend on it. One of the most common problems during drought conditions is maintaining a good water quality while securing the water supply to demands. This research analyses the case of the Turia River Water Resource System located in Eastern Spain. Its main water demand comes as urban demand from Valencia City, which intake is located in the final stretch of the river, where streamflow may become very low during droughts. As a result, during drought conditions concentrations of pathogens and other contaminants increase, compromising the water supply to Valencia City. In order to define possible solutions for the above-mentioned problem, we have developed an integrated model for simulating water management and water quality in the Turia River Basin to propose solutions for water quality problems under water scarcity. For this purpose, the Decision Support System Shell AQUATOOL has been used. The results demonstrate the importance of applying environmental flows as a measure of reducing pollutant's concentration depending on the evolution of a drought event and the state of the water resources system.
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30

Mouri, Goro, and Taikan Oki. "Modelling the catchment-scale environmental impacts of wastewater treatment in an urban sewage system for CO2 emission assessment." Water Science and Technology 62, no. 4 (August 1, 2010): 972–84. http://dx.doi.org/10.2166/wst.2010.373.

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Water shortages and water pollution are a global problem. Increases in population can have further acute effects on water cycles and on the availability of water resources. Thus, wastewater management plays an important role in mitigating negative impacts on natural ecosystems and human environments and is an important area of research. In this study, we modelled catchment-scale hydrology, including water balances, rainfall, contamination, and urban wastewater treatment. The entire water resource system of a basin, including a forest catchment and an urban city area, was evaluated synthetically from a spatial distribution perspective with respect to water quantity and quality; the Life Cycle Assessment (LCA) technique was applied to optimize wastewater treatment management with the aim of improving water quality and reducing CO2 emissions. A numerical model was developed to predict the water cycle and contamination in the catchment and city; the effect of a wastewater treatment system on the urban region was evaluated; pollution loads were evaluated quantitatively; and the effects of excluding rainwater from the treatment system during flooding and of urban rainwater control on water quality were examined. Analysis indicated that controlling the amount of rainwater inflow to a wastewater treatment plant (WWTP) in an urban area with a combined sewer system has a large impact on reducing CO2 emissions because of the load reduction on the urban sewage system.
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31

Huber, Lisa, Nico Bahro, Georg Leitinger, Ulrike Tappeiner, and Ulrich Strasser. "Agent-Based Modelling of a Coupled Water Demand and Supply System at the Catchment Scale." Sustainability 11, no. 21 (November 5, 2019): 6178. http://dx.doi.org/10.3390/su11216178.

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Water is of uttermost importance for human well-being and a central resource in sustainable development. Many simulation models for sustainable water management, however, lack explanatory and predictive power because the two-way dynamic feedbacks between human and water systems are neglected. With Agent-based Modelling of Resources (Aqua.MORE; here, of the resource water), we present a platform that can support understanding, interpretation and scenario development of resource flows in coupled human–water systems at the catchment scale. Aqua.MORE simulates the water resources in a demand and supply system, whereby water fluxes and socioeconomic actors are represented by individual agents that mutually interact and cause complex feedback loops. First, we describe the key steps for developing an agent-based model (ABM) of water demand and supply, using the platform Aqua.MORE. Second, we illustrate the modelling process by application in an idealized Alpine valley, characterized by touristic and agricultural water demand sectors. Here, the implementation and analysis of scenarios highlights the possibilities of Aqua.MORE (1) to easily deploy case study-specific agents and characterize them, (2) to evaluate feedbacks between water demand and supply and (3) to compare the effects of different agent behavior or water use strategies. Thereby, we corroborate the potential of Aqua.MORE as a decision-support tool for sustainable watershed management.
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32

Hatzigiannakis, Evangelos, Agathos Filintas, Andreas Ilias, Andreas Panagopoulos, George Arampatzis, and Ioannis Hatzispiroglou. "Hydrological and rating curve modelling of Pinios River water flows in Central Greece, for environmental and agricultural water resources management." Desalination and Water Treatment 57, no. 25 (December 18, 2015): 11639–59. http://dx.doi.org/10.1080/19443994.2015.1123191.

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33

Ikegwuoha, Darlington Chineye, Harold Louw Weepener, and Megersa Olumana Dinka. "Future land use change simulations for the Lepelle River Basin using Cellular Automata Markov model with Land Change Modeller-generated transition areas." F1000Research 10 (August 12, 2021): 796. http://dx.doi.org/10.12688/f1000research.55186.1.

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Background: Land cover/land cover (LULC) change is one of the major contributors to global environmental and climate variations. The ability to predict future LULC is crucial for environmental engineers, civil engineers, urban designers, and natural resources managers for planning activities. Methods: TerrSet Geospatial Monitoring and Modelling System and ArcGIS Pro 2.8 were used to process LULC data for the region of the Lepelle River Basin (LRB) of South Africa. Driver variables such as population density, slope, elevation as well as the Euclidean distances of cities, roads, highways, railroads, parks and restricted areas, towns to the LRB in combination with LULC data were analysed using the Land Change Modeller (LCM) and Cellular-Automata Markov (CAM) model. Results: The results reveal an array of losses (-) and gains (+) for certain LULC classes in the LRB by the year 2040: natural vegetation (+8.5%), plantations (+3.5%), water bodies (-31.6%), bare ground (-8.8%), cultivated land (-29.3%), built-up areas (+10.6%) and mines (+14.4%). Conclusions: The results point to the conversion of land uses from natural to anthropogenic by 2040. These changes also highlight how the potential losses associated with resources such as water that will negatively impact society and ecosystem functioning in the LRB by exacerbating water scarcity driven by climate change. This modelling study provides a decision support system for the establishment of sustainable land resource utilization policies in the LRB.
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34

Fortin, Michael, and Edward A. McBean. "A linear programming screening model for the Grand River Basin." Canadian Journal of Civil Engineering 12, no. 2 (June 1, 1985): 301–6. http://dx.doi.org/10.1139/l85-032.

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A linear programming screening model is developed to formulate a set of comprehensive water resource management plans using individual projects to deal with problems of flooding, water quality impairment, and municipal water supply shortfalls for the Grand River Basin Study. The value of the model is described as being the forcing of a system-wide approach by analysts, identifying interdependencies, directing technical analyses, and the formulation of management plans. Postoptimality procedures are used to test the sensitivity of derived management plans to parameters used to describe the Grand River Basin. Key words: water resources, management modelling, Grand River, linear programming.
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35

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.

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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.
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36

Abdallah, Adel M., David E. Rheinheimer, David E. Rosenberg, Stephen Knox, and Julien J. Harou. "An interoperable software ecosystem to store, visualize, and publish water resources systems modelling data." Environmental Modelling & Software 151 (May 2022): 105371. http://dx.doi.org/10.1016/j.envsoft.2022.105371.

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37

Oye, Toyosi K., Naren Gupta, Keng Goh, Abdelfateh Kerrouche, and Tosin T. Oye. "Holistic Modelling and Parametric Study of Bathroom Solar Hot Water Heating System." Environmental Management and Sustainable Development 10, no. 3 (May 22, 2021): 36. http://dx.doi.org/10.5296/emsd.v10i3.18519.

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One of the major issues facing the world in the 21st century is climate change. However, sustainability has become a crucial concept to combat extreme consumption of environmental resources. The bathroom has been estimated to be the principal user of environmental resources in United Kingdom households. Therefore, the challenge that how a combined water and energy saving unit in the bathroom will contribute to the sustainability of the houses will remain unresolved. While the use of solar hot water technologies has been fundamental for energy efficiencies, this study reckons that lack of significant energy saving, and efficiency issues are based on the use of individual components and technologies it employed and concludes that a holistic approach is required to combat this issue. The method this study presented adopts conceptual and mathematical concept that is based on holistic modelling to design for a bathroom unit using Polysun program. Parametric analysis was also conducted to know how change in variable parameters like location, load and switch-on temperatures will affect the performance of the system designed. This study uncovers the contribution of renewable energy source in the bathroom and the significant contribution it makes in levels of energy consumption and carbon emissions which is attributed to the sustainability of the bathroom system and contribution this in turn makes to tackle the climate change as part of a sustainability-based strategy.
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38

Buahin, Caleb A., and Jeffery S. Horsburgh. "Advancing the Open Modeling Interface (OpenMI) for integrated water resources modeling." Environmental Modelling & Software 108 (October 2018): 133–53. http://dx.doi.org/10.1016/j.envsoft.2018.07.015.

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39

Abdallah, Adel M., and David E. Rosenberg. "A data model to manage data for water resources systems modeling." Environmental Modelling & Software 115 (May 2019): 113–27. http://dx.doi.org/10.1016/j.envsoft.2019.02.005.

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40

Castelletti, Andrea, and Rodolfo Soncini-Sessa. "Bayesian networks in water resource modelling and management." Environmental Modelling & Software 22, no. 8 (August 2007): 1073–74. http://dx.doi.org/10.1016/j.envsoft.2006.06.001.

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41

Yang, Z. F., T. Sun, B. S. Cui, B. Chen, and G. Q. Chen. "Environmental flow requirements for integrated water resources allocation in the Yellow River Basin, China." Communications in Nonlinear Science and Numerical Simulation 14, no. 5 (May 2009): 2469–81. http://dx.doi.org/10.1016/j.cnsns.2007.12.015.

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42

Cherenkevych, O. S. "Statistical Modeling of the Ecological Risks as a Factor of the Ecological Safety." Statistics of Ukraine 89, no. 2-3 (November 24, 2020): 59–67. http://dx.doi.org/10.31767/su.2-3(89-90)2020.02-03.07.

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In modern conditions, the priority of Ukraine’s national interests is to ensure environmentally safe living conditions of society, as well as the preservation and restoration of the natural environment, increasing requirements for environmental safety. The purpose of this article is the statistical modelling of environmental risks to determine the direction of justification of management decisions on environmental safety. This necessitates the implementation of the effective methods of environmental safety regulation, assessment and monitoring of environmental risk. The author clarifies the definition of environmental safety as a set of conditions and processes that provide all vital human needs and do not provide for the deterioration of the future generations living conditions in terms of economic and environmental balance to achieve sustainable economic development. As an object of statistical research, environmental safety is a component of national security, which reflects the quantitative parameters of the environmental pollution risks. The environmental risks’ modelling is performed by using trend models in the article. The difference between the real levels of air and water resources pollution, as well as the generation of hazardous waste of I-III classes and their theoretical values calculated by the model, assesses the pollution risk of the corresponding environmental resource. The specific cost of air pollution, water bodies, and hazardous waste is defined as the ratio of the amount of environmental payments of the last year to the amount of actual pollution of the same year, that is environmental payments per 1 unit of pollution. Further assessment of the risk cost is proposed to be defined as the product of the calculated deviations excess proportion and the specific cost of pollution by types. For Ukraine today the most acute problems are pollution of water resources, as well as the formation of hazardous waste, much lower than air pollution. The obtained results allow drawing a conclusion about the inefficiency of the current payment system for environmental pollution and compensation for damage, which requires an increase in capital investment in environmental equipment, increasing fines for non-compliance with pollution standards.
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43

Cherenkevych, O. S. "Statistical Modeling of the Ecological Risks as a Factor of the Ecological Safety." Statistics of Ukraine 89, no. 2-3 (November 24, 2020): 59–67. http://dx.doi.org/10.31767/su.2-3(89-90)2020.02-03.07.

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Анотація:
In modern conditions, the priority of Ukraine’s national interests is to ensure environmentally safe living conditions of society, as well as the preservation and restoration of the natural environment, increasing requirements for environmental safety. The purpose of this article is the statistical modelling of environmental risks to determine the direction of justification of management decisions on environmental safety. This necessitates the implementation of the effective methods of environmental safety regulation, assessment and monitoring of environmental risk. The author clarifies the definition of environmental safety as a set of conditions and processes that provide all vital human needs and do not provide for the deterioration of the future generations living conditions in terms of economic and environmental balance to achieve sustainable economic development. As an object of statistical research, environmental safety is a component of national security, which reflects the quantitative parameters of the environmental pollution risks. The environmental risks’ modelling is performed by using trend models in the article. The difference between the real levels of air and water resources pollution, as well as the generation of hazardous waste of I-III classes and their theoretical values calculated by the model, assesses the pollution risk of the corresponding environmental resource. The specific cost of air pollution, water bodies, and hazardous waste is defined as the ratio of the amount of environmental payments of the last year to the amount of actual pollution of the same year, that is environmental payments per 1 unit of pollution. Further assessment of the risk cost is proposed to be defined as the product of the calculated deviations excess proportion and the specific cost of pollution by types. For Ukraine today the most acute problems are pollution of water resources, as well as the formation of hazardous waste, much lower than air pollution. The obtained results allow drawing a conclusion about the inefficiency of the current payment system for environmental pollution and compensation for damage, which requires an increase in capital investment in environmental equipment, increasing fines for non-compliance with pollution standards.
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44

Hülsmann, Stephan, Janez Sušnik, Karsten Rinke, Simon Langan, Dianneke van Wijk, Annette BG Janssen, and Wolf M. Mooij. "Integrated modelling and management of water resources: the ecosystem perspective on the nexus approach." Current Opinion in Environmental Sustainability 40 (October 2019): 14–20. http://dx.doi.org/10.1016/j.cosust.2019.07.003.

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45

Regmi, Pusker, Heather Stewart, Youri Amerlinck, Magnus Arnell, Pau Juan García, Bruce Johnson, Thomas Maere, et al. "The future of WRRF modelling – outlook and challenges." Water Science and Technology 79, no. 1 (December 7, 2018): 3–14. http://dx.doi.org/10.2166/wst.2018.498.

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Abstract The wastewater industry is currently facing dramatic changes, shifting away from energy-intensive wastewater treatment towards low-energy, sustainable technologies capable of achieving energy positive operation and resource recovery. The latter will shift the focus of the wastewater industry to how one could manage and extract resources from the wastewater, as opposed to the conventional paradigm of treatment. Debatable questions arise: can the more complex models be calibrated, or will additional unknowns be introduced? After almost 30 years using well-known International Water Association (IWA) models, should the community move to other components, processes, or model structures like ‘black box’ models, computational fluid dynamics techniques, etc.? Can new data sources – e.g. on-line sensor data, chemical and molecular analyses, new analytical techniques, off-gas analysis – keep up with the increasing process complexity? Are different methods for data management, data reconciliation, and fault detection mature enough for coping with such a large amount of information? Are the available calibration techniques able to cope with such complex models? This paper describes the thoughts and opinions collected during the closing session of the 6th IWA/WEF Water Resource Recovery Modelling Seminar 2018. It presents a concerted and collective effort by individuals from many different sectors of the wastewater industry to offer past and present insights, as well as an outlook into the future of wastewater modelling.
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46

Dadson, Simon, Michael Acreman, and Richard Harding. "Water security, global change and land–atmosphere feedbacks." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 2002 (November 13, 2013): 20120412. http://dx.doi.org/10.1098/rsta.2012.0412.

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Understanding the competing pressures on water resources requires a detailed knowledge of the future water balance under uncertain environmental change. The need for a robust, scientifically rigorous evidence base for effective policy planning and practice has never been greater. Environmental change includes, but is not limited to, climate change; it also includes land-use and land-cover change, including deforestation for agriculture, and occurs alongside changes in anthropogenic interventions that are used in natural resource management such as the regulation of river flows using dams, which can have impacts that frequently exceed those arising in the natural system. In this paper, we examine the role that land surface models can play in providing a robust scientific basis for making resource management decisions against a background of environmental change. We provide some perspectives on recent developments in modelling in land surface hydrology. Among the range of current land surface and hydrology models, there is a large range of variability, which indicates that the specification and parametrization of several basic processes in the models can be improved. Key areas that require improvement in order to address hydrological applications include (i) the representation of groundwater in models, particularly at the scales relevant to land surface modelling, (ii) the representation of human interventions such as dams and irrigation in the hydrological system, (iii) the quantification and communication of uncertainty, and (iv) improved understanding of the impact on water resources availability of multiple use through treatment, recycling and return flows (and the balance of consumptive and conservative uses). Through a series of examples, we demonstrate that changes in water use could have important reciprocal impacts on climate over a wide area. The effects of water management decisions on climate feedbacks are only beginning to be investigated—they are still only rarely included in climate impact assessments—and the links between the hydrological system and climate are rarely acknowledged in studies of ecosystem services. Nevertheless, because water is essential not only for its direct uses but also for the indirect functions that it serves (including food production, fisheries and industry), it is vital that these connected systems are studied. Building on the examples above, we highlight recent research showing that assessment of these trade-offs is particularly complex in wetland areas, especially in situations where these trade-offs play to the advantage of different communities.
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47

Borge-Diez, David, Francisco José García-Moya, and Enrique Rosales-Asensio. "Water Energy Food Nexus Analysis and Management Tools: A Review." Energies 15, no. 3 (February 3, 2022): 1146. http://dx.doi.org/10.3390/en15031146.

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In order to eradicate water–energy–food poverty, Sustainable Development Goals (SDG) proposed milestones to overcome the feeding problem. The development of water–energy–food (WEF) nexus management tools, and approaches has increased during last years. The aim of this research is to review WEF nexus management methods, tools, and examples to identify gaps, goals, or future development that arise when modelling goods management issues for designing a sustainable development framework. It is also presented the food–biofuel competition for resources problem focusing in threatened systems. In addition to the resource trade-off quantification issue, it proposed an analysis for WEF systems management from economic, environmental, and practical points of view with the aim of identifying results, challenges, gaps, or assumptions for nexus. The renewable energy highlights as an enabler for sustainable development.
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48

Garcia, Jorge Andres, and Angelos Alamanos. "Integrated Modelling Approaches for Sustainable Agri-Economic Growth and Environmental Improvement: Examples from Greece, Canada and Ireland." Land 11, no. 9 (September 13, 2022): 1548. http://dx.doi.org/10.3390/land11091548.

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Complex agricultural problems concern many countries, as a result of competing economic and environmental objectives. In this work we model three common agricultural problems through optimization techniques: a water-scarce area with overexploited surface and groundwater resources due to over-pumping for irrigation (Greece); an area facing water quality deterioration caused by agriculture (Canada); and an intensified animal farming area facing environmental degradation and increased greenhouse gases emissions (Ireland). Multiple goals are considered to optimize farmers’ welfare and environmental sustainability. The proposed approaches are new applications for each case-study, providing useful insights for most countries facing similar problems.
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49

O'Brien, Gordon C., Chris Dickens, Eleanor Hines, Victor Wepener, Retha Stassen, Leo Quayle, Kelly Fouchy, James MacKenzie, P. Mark Graham, and Wayne G. Landis. "A regional-scale ecological risk framework for environmental flow evaluations." Hydrology and Earth System Sciences 22, no. 2 (February 2, 2018): 957–75. http://dx.doi.org/10.5194/hess-22-957-2018.

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Abstract. Environmental flow (E-flow) frameworks advocate holistic, regional-scale, probabilistic E-flow assessments that consider flow and non-flow drivers of change in a socio-ecological context as best practice. Regional-scale ecological risk assessments of multiple stressors to social and ecological endpoints, which address ecosystem dynamism, have been undertaken internationally at different spatial scales using the relative-risk model since the mid-1990s. With the recent incorporation of Bayesian belief networks into the relative-risk model, a robust regional-scale ecological risk assessment approach is available that can contribute to achieving the best practice recommendations of E-flow frameworks. PROBFLO is a holistic E-flow assessment method that incorporates the relative-risk model and Bayesian belief networks (BN-RRM) into a transparent probabilistic modelling tool that addresses uncertainty explicitly. PROBFLO has been developed to evaluate the socio-ecological consequences of historical, current and future water resource use scenarios and generate E-flow requirements on regional spatial scales. The approach has been implemented in two regional-scale case studies in Africa where its flexibility and functionality has been demonstrated. In both case studies the evidence-based outcomes facilitated informed environmental management decision making, with trade-off considerations in the context of social and ecological aspirations. This paper presents the PROBFLO approach as applied to the Senqu River catchment in Lesotho and further developments and application in the Mara River catchment in Kenya and Tanzania. The 10 BN-RRM procedural steps incorporated in PROBFLO are demonstrated with examples from both case studies. PROBFLO can contribute to the adaptive management of water resources and contribute to the allocation of resources for sustainable use of resources and address protection requirements.
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50

Céréghino, R., and Y. S. Park. "Review of the Self-Organizing Map (SOM) approach in water resources: Commentary." Environmental Modelling & Software 24, no. 8 (August 2009): 945–47. http://dx.doi.org/10.1016/j.envsoft.2009.01.008.

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