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Artykuły w czasopismach na temat "GROUND WATER POTENTIAL ZONES (GWPZS)"
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Arumugam, Muruganantham, Prabakaran Kulandaisamy, Sivakumar Karthikeyan, Kongeswaran Thangaraj, Venkatramanan Senapathi, Sang Yong Chung, Subagunasekar Muthuramalingam, Muthuramalingam Rajendran, Sathish Sugumaran i Siva Manimuthu. "An Assessment of Geospatial Analysis Combined with AHP Techniques to Identify Groundwater Potential Zones in the Pudukkottai District, Tamil Nadu, India". Water 15, nr 6 (13.03.2023): 1101. http://dx.doi.org/10.3390/w15061101.
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Groundwater is critical to the socioeconomic development of any region. Infiltration of surface water into the ground is influenced by a variety of factors such as soil pores, folds, fractures, faults, and joints, all of which contribute to groundwater recharge. Groundwater is an important source of freshwater in the drought-prone Pudukkottai district of Tamil Nadu, India. Therefore, the search for groundwater potential zones (GWPZs) is critical. The present study focuses on the investigation of potential groundwater zones using geospatial techniques. Geology, land use and land cover, geomorphology, soil, drainage density, lineament, and groundwater levels were obtained from state and non-state associations. ArcGIS version 10.8 was used to create all thematic layers and classified grids. The intensive use of groundwater in arid and semiarid regions is becoming a problem for the public to meet their freshwater needs. The condition of arid and semi-arid regions due to intensive groundwater extraction has become one of the most important environmental problems for the public. In this study, a powerful groundwater potential mapping technique was developed using integrated remote sensing data from GIS-AHP. Using AHP techniques, thematic layers for geology, geomorphology, and soil followed by drainage, drainage density and lineament, lineament density, slope, water level, and lithological parameters were created, classified, weighted, and integrated into a GIS environment. According to the results of the study, it is estimated that 14% of the groundwater potential in the study area is good, 49% is moderate and 36% is poor. A groundwater level map was used to verify the groundwater potential. In addition, the model was validated with a single-layer sensitivity analysis, which showed that geology was the most influential layer and water level was the least influential thematic layer. The low-potential areas identified on the groundwater potential map can be used for further study to identify ideal locations for artificial recharge. In low potential areas, the groundwater potential map can be used to find ideal locations for artificial recharge. The water table in the area must be raised by artificial recharge structures such as infiltration basins, recharge pits, and agricultural ponds. Artificial recharge structures such as infiltration basins, recharge pits, and agricultural ponds can be used for groundwater development in the low potential zones. The GWPZ map was successfully validated with three proxy data, such as the number of wells, groundwater level, and well density, obtained from well inventory information. The results of this study will improve our understanding of the geographic analysis of groundwater potential and help policy makers in this drought-prone area to create more sustainable water supply systems.
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Dabral, S., B. Bhatt, J. P. Joshi i N. Sharma. "Groundwater suitability recharge zones modelling – A GIS application". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (28.11.2014): 347–53. http://dx.doi.org/10.5194/isprsarchives-xl-8-347-2014.
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Groundwater quality in Gujarat state is highly variable and due to multiplicity of factors viz. influenced by direct sea water encroachment, inherent sediment salinity, water logging, overexploitation leading to overall deterioration in ground water quality, coupled with domestic and industrial pollution etc. The groundwater scenario in the state is not very encouraging due to imbalance between recharge and groundwater exploitation. Further, the demand for water has increased manifold owing to agricultural, industrial and domestic requirement and this has led to water scarcity in many parts of the state, which is likely to become more severe in coming future due to both natural and manmade factors. Therefore, sustainable development of groundwater resource requires precise quantitative assessment based on reasonably valid scientific principles. Hence, delineation of groundwater potential zones (GWPZ), has acquired great significance. <br><br> The present study focuses on the integrated Geospatial and Multi-Criteria Decision Making (MCDM) techniques to determine the most important contributing factors that affect the groundwater resources and also to delineate the potential zones for groundwater recharge. The multiple thematic layers of influencing parameters viz. geology, geomorphology, soil, slope, drainage density and land use, weightages were assigned to the each factor according to their relative importance as per subject experts opinion owing to the natural setup of the region. The Analytical Hierarchy Process (AHP) was applied to these factors and potential recharge zones were identified. The study area for the assessment of groundwater recharge potential zones is Mahi-Narmada inter-stream region of Gujarat state. The study shows that around 28 % region has the excellent suitability of the ground water recharge.
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Khan, Mohd Yawar Ali, Mohamed ElKashouty i Fuqiang Tian. "Mapping Groundwater Potential Zones Using Analytical Hierarchical Process and Multicriteria Evaluation in the Central Eastern Desert, Egypt". Water 14, nr 7 (25.03.2022): 1041. http://dx.doi.org/10.3390/w14071041.
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Exploring alternative freshwater resources other than those surrounding the Nile is critical to disperse Egypt’s population to other uninhabited desert areas. This study aims to locate groundwater potential zones (GWPZs) in the water-scarce desert between the Qina and Safga-Bir Queh regions to build groundwater wells, thereby attracting and supporting people’s demand for water, food, and urban development. Multi-criteria evaluation (MCE) and analytical hierarchical process (AHP) techniques based on remote sensing (RS) and Geographic Information System (GIS) were used to map GWPZs. The outcome of the GWPZs map was divided into six different classes. High and very-high aquifer recharge potentials were localized in the middle and western parts, spanning 19.3% and 17% (16.4% and 15.7%) by MCE (AHP). Low and very low aquifer recharge potentials were distributed randomly in the eastern part over an area of 29% and 14.3% (26.9% and 6.1%) by MCE (AHP). Validation has been undertaken between the collected Total Dissolved Solid (TDS) and with the calculated GWPZs, indicating that the highest and lowest TDS concentrations of most aquifers are correlated with low to very low and high to very high aquifer potential, respectively. The study is promising and can be applied anywhere with similar setups for groundwater prospect and management.
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Uc Castillo, José Luis, Diego Armando Martínez Cruz, José Alfredo Ramos Leal, José Tuxpan Vargas, Silvia Alicia Rodríguez Tapia i Ana Elizabeth Marín Celestino. "Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches". Water 14, nr 13 (5.07.2022): 2138. http://dx.doi.org/10.3390/w14132138.
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Groundwater occurrence in semi-arid regions is variable in space and time due to climate patterns, terrain features, and aquifer properties. Thus, accurate delineation of Groundwater Potential Zones (GWPZs) is essential for sustainable water resources management in these environments. The present research aims to delineate and assess GWPZs in a semi-arid basin of San Luis Potosi (SLP), Mexico, through the integration of Remote Sensing (RS), Geographic Information System (GIS), and Analytic Hierarchy Process (AHP). Seven thematic layers (geology, lineament density, land use and land cover, topographic wetness index (TWI), rainfall, drainage density, and slope) were generated in raster format. After the AHP procedure and rank assignment, the thematic layers were integrated using the raster calculator to obtain the GWPZs map. The results indicated that 68.21% of the area is classified as low groundwater potential, whereas 26.30% is classified as moderate. Validation was done by assessing the water residence time data from 15 wells distributed in the study area. Furthermore, the Receiver Operating Characteristics (ROC) curve was obtained, indicating a satisfactory accuracy prediction (AUC = 0.677). This study provides valuable information for decision-makers regarding the conservation and sustainable management of groundwater resources.
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M., Ramachandra, Raghu Babu K., Rajasekhar M. i Pradeep Kumar B. "Identification of Groundwater Potential Zones using AHP and Geospatial Techniques in Western Part of Cuddapah Basin, Andhra Pradesh, India". Hydrospatial Analysis 3, nr 2 (2.02.2020): 60–71. http://dx.doi.org/10.21523/gcj3.19030202.
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Present study is carried out for delineation of Groundwater Potential Zones (GWPZ) in Western part of Cuddapah basin, Southern India using Remote Sensing (RS), Geographical Information System (GIS) and Analytical Hierarchy Process (AHP). Various categorized thematic maps: geology, geomorphology (GM), slope, soils, lineament density (LD), drainage density (DD) and gorundwater levels fluctuations (GWLF) were used for mapping and delineation of GWPZs. Suitable and normalized weights were assigned based on AHP to identify GWPZ. The GWPZ map was categorized into five GWPZs types: very poor, poor, moderate, good and very good. About 1.48% (6.05 km2) area is classified in ‘very good’, 25.95% (106.07 km2) in ‘good’, 47.11% (192.53 km2) in ‘moderate’, 22.12% (90.38 km2) in ‘poor’ and 3.34% (13.66 km2) in ‘very poor’ category. The acquired outcomes were validated with water levels fluctuations in pre- and post-monsoon seasons. GIS-based multi-criteria decision making approach is useful for preparation of precise and reliable data. The AHP approach, with the aptitudes of the geospatial data, various data bases can be combined to create conceptual model for identification and estimation of GWPZs.
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Pocco, Víctor, Samuel Chucuya, Germán Huayna, Eusebio Ingol-Blanco i Edwin Pino-Vargas. "A Multi-Criteria Decision-Making Technique Using Remote Sensors to Evaluate the Potential of Groundwater in the Arid Zone Basin of the Atacama Desert". Water 15, nr 7 (30.03.2023): 1344. http://dx.doi.org/10.3390/w15071344.
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One of the most notable problems in the Atacama desert is the low occurrence of rainfall, which leads to a shortage of surface and groundwater for different users in the region. Therefore, the task of carrying out new exploration studies of potential groundwater zones (GWPZs) is of vital importance for decision-makers in water resources. The main objective of this research is to determine potential sources of groundwater using a Multi-Criteria Decision-Making technique with remote sensors. A method of exploration using the Analytical Hierarchy Process (AHP) techniques applied to remote sensing data is provided. The AHP method allows calculating the influence of multiple factors, and along with the GIS environment, a map of groundwater exploitation potential can be produced. The results indicating GWPZs showed four classifications of groundwater potential. The distribution shows 15.02%, 23.93%, 59.80%, and 1.25% of the total area with high, moderate, low, and very low potential, respectively. The results were validated with existing wells in the study area, offering an acceptance of 86.9%. This reveals the effectiveness and accuracy of the AHP-based GIS approach as a strategy for analyzing groundwater potential in arid zones. Similarly, the tested high GWP areas are helpful for the development and management of water resources in the Caplina basin.
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Masroor, Md, Haroon Sajjad, Pankaj Kumar, Tamal Kanti Saha, Md Hibjur Rahaman, Pandurang Choudhari, Luc Cimusa Kulimushi, Swades Pal i Osamu Saito. "Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India". Water 15, nr 3 (19.01.2023): 419. http://dx.doi.org/10.3390/w15030419.
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Groundwater is an essential source of water especially in arid and semi-arid regions of the world. The demand for water due to exponential increase in population has created stresses on available groundwater resources. Further, climate change has affected the quantity of water globally. Many parts of Indian cities are experiencing water scarcity. Thus, assessment of groundwater potential is necessary for sustainable utilization and management of water resources. We utilized a novel ensemble approach using artificial neural network multi-layer perceptron (ANN-MLP), random forest (RF), M5 prime (M5P) and support vector machine for regression (SMOReg) models for assessing groundwater potential in the Parbhani district of Maharashtra in India. Ten site-specific influencing factors, elevation, slope, aspect, drainage density, rainfall, water table depth, lineament density, land use land cover, geomorphology, and soil types, were integrated for preparation of groundwater potential zones. The results revealed that the largest area of the district was found under moderate category GWP zone followed by poor, good, very good and very poor. Spatial distribution of GWP zones showed that Poor GWPZs are spread over north, central and southern parts of the district. Very poor GWPZs are mostly found in the north-western and southern parts of the district. The study calls for policy implications to conserve and manage groundwater in these parts. The ensembled model has proved to be effective for assessment of GWP zones. The outcome of the study may help stakeholders efficiently utilize groundwater and devise suitable strategies for its management. Other geographical regions may find the methodology adopted in this study effective for groundwater potential assessment.
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Li, Shuhang, Mohamed Abdelkareem i Nassir Al-Arifi. "Mapping Groundwater Prospective Areas Using Remote Sensing and GIS-Based Data Driven Frequency Ratio Techniques and Detecting Land Cover Changes in the Yellow River Basin, China". Land 12, nr 4 (29.03.2023): 771. http://dx.doi.org/10.3390/land12040771.
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Groundwater is an essential resource that meets all of humanity’s daily water demands, supports industrial development, influences agricultural output, and maintains ecological equilibrium. Remote sensing data can predict the location of potential water resources. The current study was conducted in China’s Yellow River region, Ningxia Hui Autonomous Region (NHAR). Through the use of a GIS-based frequency ratio machine learning technique, nine layers of evidence influenced by remote sensing data were generated and integrated. The layers used are soil characteristics, aspect, and roughness index of the terrain, drainage density, elevation, lineament density, depressions, rainfall, and distance to the river from the location. Six groundwater prospective zones (GWPZs) were found to have very low (13%), low (30%), moderate (25%), high (16%), very high (11%), and extreme potentiality (5.26%) values. According to well data used to validate the GWPZs map, approximately 40% of the wells are consistent to very high to excellent zones. Information about groundwater productivity was gathered from 150 well locations. Using well data that had not been used for model training, the resulting GWPZs maps were validated using area-under-the-curve (AUC) analysis. FR models have an accuracy rating of 0.759. Landsat data were used to characterize the study area’s changes in land cover. The spatiotemporal differences in land cover are detected and quantified using multi-temporal images which revealed changes in water, agricultural, and anthropogenic activities. Overall, combining different data sets through a GIS can reveal the promising areas of water resources that aid planners and managers.
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Allafta, Hadi, Christian Opp i Suman Patra. "Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin". Remote Sensing 13, nr 1 (31.12.2020): 112. http://dx.doi.org/10.3390/rs13010112.
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Rapid population growth has raised the groundwater resources demand for socio-economic development in the Shatt Al-Arab basin. The sustainable management of groundwater resources requires precise quantitative evaluation, which can be achieved by applying scientific principles and modern techniques. An integrated concept has been used in the current study to identify the groundwater potential zones (GWPZs) in the Shatt Al-Arab basin using remote sensing (RS), geographic information system (GIS), and analytic hierarchy process (AHP). For this purpose, nine groundwater occurrence and movement controlling parameters (i.e., lithology, rainfall, geomorphology, slope, drainage density, soil, land use/land cover, distance to river, and lineament density) were prepared and transformed into raster data using ArcGIS software. These nine parameters (thematic layers) were allocated weights proportional to their importance. Furthermore, the hierarchical ranking was conducted using a pairwise comparison matrix of the AHP in order to estimate the final normalized weights of these layers. We used the overlay weighted sum technique to integrate the layers for the creation of the GWPZs map of the study area. The map has been categorized into five zones (viz., very good, good, moderate, poor, and very poor) representing 4, 51, 35, 9, and 1% of the study area, respectively. Finally, for assessing the effectiveness of the model, the GWPZs map was validated using depth to groundwater data for 99 wells distributed over the basin. The validation results confirm that the applied approach provides significantly solid results that can help in perspective planning and sustainable utilization of the groundwater resources in this water-stressed region.
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Trabelsi, Fatma, Salsebil Bel Hadj Ali i Saro Lee. "Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia". Remote Sensing 15, nr 1 (27.12.2022): 152. http://dx.doi.org/10.3390/rs15010152.
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Water scarcity is a severe problem in Tunisia, particularly in the northern region crossed by the Medjerda River, where groundwater is a conjoint water resource that is increasingly exploited. The aim of this study is to delineate the groundwater potential zones (GWPZs) in the Lower Valley of the Medjerda basin by using single benchmark machine learning models based on artificial neural network (ANN), random forest (RF), and support vector regression (SVR), and by developing a novel hybrid method, NB-RF-SVR, to reach the highest accuracy of groundwater potential prediction. Each model produced a spatial groundwater potential map (GPM) with the input of 26 groundwater-related factors (GRF) selected by the frequency ratio model and 70% of the transmissivity training data. The models’ effectiveness was assessed using the AUC-ROC curve, sensitivity, specificity, MAE, and RMSE metric indicators. The validation findings revealed that all the models performed successfully for the GWPZ mapping, where the AUC values for the ANN, RF, SVR, and NB-RF-SVR models were estimated as 71%, 79%, 87%, and 92%, respectively. The relative importance of the GWPZs revealed that land use followed by geology and elevation were the most important factors. Finally, these outcomes can provide valuable information for decision makers to effectively manage groundwater in water-stressed regions.
Rozprawy doktorskie na temat "GROUND WATER POTENTIAL ZONES (GWPZS)"
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GUPTA, SHIVANI. "APPLICATION OF ANALYTICAL HIERARCHY PROCESS (AHP) IN IDENTIFICATION AND ANALYSIS OF GROUNDWATER POTENTIAL ZONES IN DELHI, INDIA". Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20054.
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The utilization of Geographic Information System (GIS) offers a wide range of applications for
groundwater assessment, delineation, discovery, and resource management. The aim of the
present study is to establish a long-term plan for groundwater consumption by implementing
novel approaches that ensure the proper utilization and effective maintenance of critical
groundwater resources. In this study, GIS techniques, employing Satty's analytical hierarchy
method (AHP), were used to demarcate groundwater potential zones in the National Capital
Territory (NCT) of India. Seven spatial and non-spatial thematic layers, including Slope,
Geology, Rainfall, Soil, Land use / Land cover, Soil, Lineament, and Drainage Density, were
examined in the GIS software, and appropriate weights were assigned to define the Groundwater
potential zones. An integrated map for Delhi, India was generated as a result. The groundwater
potential areas were categorized into five zones: 1-very poor, 2-poor, 3-moderate, 4-good, and 5-
very good. The very poor class covered an area of 12.87 km2, poor class covered 174.24 km2,
moderate class covered 695.58 km2, good class covered 592.61 km2, and very good class covered
23.08 km2, respectively. This study helps in effective resource management, water supply
planning, agricultural development, environmental protection, and disaster management. By
understanding the distribution and availability of groundwater, stakeholders can make informed
decisions to ensure sustainable use and protection of this valuable resource.
Części książek na temat "GROUND WATER POTENTIAL ZONES (GWPZS)"
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Kotecha, Mit J., Gaurav Tripathi, Suraj Kumar Singh, Shruti Kanga, Bhartendu Sajan, Gowhar Meraj i Rahul Kumar Misra. "Geospatial Modelling for Identification of Ground Water Potential Zones in Luni River Basin, Rajasthan". W River Conservation and Water Resource Management, 315–38. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2605-3_15.
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López Loera, Héctor. "The Magnetometry—A Primary Tool in the Prospection of Underground Water". W Magnetometers - Fundamentals and Applications of Magnetism. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.84322.
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One of the most important problems in arid and semi-arid zones in the Mexican Mesa Central is the one related to the exploration and exploitation of groundwater. It is found at depths over 200 m, and movement is primarily through fractures. This work presents a geophysical methodology, which shows the potential of combining natural and induced methods to locate confined aquifers in fault zones. The study begins by interpreting the aeromagnetic survey, mainly by searching alignments associated with low magnetic anomalies, which are correlated with faults zones, and/or fractures and/or geologic contacts where ferromagnetic minerals have undergone oxidation due to their association with recharged zones. These aeromagnetic alignments are confirmed on land by a ground magnetic survey. Based on these interpretations, electrical methods include sections and vertical electrical sounding are used to verify if the zones are correlated to the underground moisture. If both permeability and moisture are met together, then they considered as zones with a high probability of locating ground water in the Mexican Mesa Central.
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Raza, Raghib, Gajendra Kumar Chawla i Chandra Shekhar Dwivedi. "GIS-based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones". W Advances in Environmental Engineering and Green Technologies, 24–43. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-5027-4.ch002.
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In the present study, delineation of ground water potential in Jodhpur district, Rajasthan is framed by using geospatial technique (i.e., remote sensing and GIS) and with multi-criteria leadership (MCDM) procedure. The analytical network process (ANP) is one of the suitable strategies that makes the research workable for delineation methodically, and corporate the analytic hierarchy process (AHP) as an uncommon case. For proper value to recognize the ground water potential zone in Jodhpur, Rajasthan, the AHP and ANP methods are utilized to decide the values of different parameters and their classes. The AHP values are then connected in a direct mix into raster calculator to get five distinctive groundwater potential zones in the investigation region, to be specific as ‘very poor' (2052.0 km2), ‘poor' (4225.9 km2), ‘moderate' (6355.1 km2), ‘good' (6451.2 km2), and ‘very good' (3301.7 km2). It has been presumed that about 9752.9 km2 area of Jodhpur district has very good to good groundwater potential, which is about 43.56% of the complete study area.
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Szczygieł, Ryszard, Mirosław Kwiatkowski i Jan Kaczmarowski. "Tools supporting planning and organizing rescue actions in state forests in Poland as an example of the practical implementation of scientific research". W Advances in Forest Fire Research 2022, 411–14. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_66.
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The functioning fire protection system in the State Forests, which covers 76.9% of the forest area in the country, is constantly improved thanks to close cooperation with the Forest Research Institute. The results of the research conducted by the Institute are thus implemented in forestry practice, examples of which are presented in this article. The basis for planning and organizing rescue operations is the assessment of potential forest fire risk, which is carried out using the method of classifying forest areas to the forest fire risk category. It is determined for the forest district (average area 17500 ha) for 10 years on the basis of the frequency of fires, forest stand, climatic and anthropogenic conditions according to the formulas developed for each of the factors. The category determines the distribution of funds for fire protection and the method of forest preparation in the event of a fire, concerning fire detection, communication and alarm systems, the density of fire access roads and water supply points, and fire extinguishing equipment. The macroscopic method of forest fire risk categorization is complemented by the method of forest stand flammability classes, which determines their susceptibility to fire due to the presence of flammable material. It is based on the forest habitat type and soil cover type and is determined at the level of separation (average area 3 ha), with the possibility of generalization to the division (20 ha) and forestry (1300 ha). Both methods are used to map the potential fire risk of forests in Poland. The method of determining the degree of forest fire risk on the basis of air temperature and relative humidity, precipitation and direct measurements of moisture content of pine litter (Pinus sylvestris) is used to assess the dynamic forest fire risk, shaped by weather conditions. Determining the degree of risk is performed from the 1st of March to the 30th of September, daily at 9.00 and 13.00 in 60 forecast zones with the use of an automated network of 145 meteorological measuring points. Information on the degree of risk determines the operational readiness of ground and air forces. In the event of a fire and determination of its forest address, we can download from the Information System of the State Forests, data on the flammability class of the forest stand and the characteristics of the flammable material (type, fuel load), using the developed fuel models for 7 types of soil cover, the fires of which constitute nearly 90 % of all events. The possibility of a soil cover fire turning into a crown fire is determined based on the developed algorithms, taking into account the age of the forest stand, habitat and stand conditions, meteorological conditions and the duration of the fire. Organizing a firefighting action, including in particular having the right amount of forces and resources to extinguish a fire with the smallest possible area, can be supported by the application Model of a forest fire, which the forest service has at its disposal.
Streszczenia konferencji na temat "GROUND WATER POTENTIAL ZONES (GWPZS)"
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Deuel, Lloyd E., i George H. Holliday. "Soil Moisture Analyses to Locate Shallow Ground Water: A Solution to a Vexing Problem". W ASME 2001 Engineering Technology Conference on Energy. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/etce2001-17089.
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Abstract EPA and most States require a hydrogeologic assessment of contaminated sites to identify and characterize the upper most aquifer and potential pathways for contamination. The advancement of soil borings, followed by the completion of monitoring wells in boreholes is often the first step in direct site characterization. These monitoring wells have the potential to contaminate deeper ground waters; if the site has a contaminated seasonal perched water table from which water is allowed to enter the borehole before the well is cased. This condition is particularly troublesome when a temporary monitoring well is used for assessment purposes and contaminate concentrations are compared to maximum concentration limits (MCLs) for drinking water. A seasonal or permanent perched water table may be contaminated, but separated and protected from deeper useable groundwater by the unsaturated ‘vadose’ zone. The lack of saturation in the vadose naturally restricts the movement of water due to unsaturated flow dynamics and the corresponding flux of soluble constituents irrespective of attenuating reactions with soil. This paper presents a method of distinguishing saturated zones from unsaturated zones by comparative analysis of existing soil moisture and the field capacity or 33.3 kPa (1/3 bar) moisture equivalent. Moisture measurements are made for core samples collected in continuous fashion to a selected depth and sample interval determined by the use and sensitivity required in the interpretation of the data. Soil moisture profiles in conjunction with geophysical measurements of bulk density and particle density allow determination of volume wetness and degree of saturation. Additionally, these data are used to assess the movement of water in the soil profile and potential contaminant migration to useable groundwater. The authors have used this technique to differentiate vadose zones sandwiched between seasonal perched water and even thin continuous saturated zones from useable groundwater. Actual field data are presented to demonstrate the ease with which false positive results are generated that portends an adverse impact to groundwater and the need for costly risk reduction analysis or remediation.
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Prasad, Geena, Vinod P. G. i Shaleena Elizabeth John. "Delineation of ground water potential zones using GIS and remote sensing – A case study from midland region of Vamanapuram river basin, Kerala, India". W INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, MATERIALS AND APPLIED SCIENCE. Author(s), 2018. http://dx.doi.org/10.1063/1.5031990.
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Springer, Zachary, i M. Keith Sharp. "The Potential of Night Sky Radiation for Humidity Control". W ASME 2015 9th International Conference on Energy Sustainability collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/es2015-49138.
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Ambient energy sources, including ambient air, ground and night sky, have potential for space cooling. The night sky offers the lowest temperature and, therefore, the greatest potential across most of the US. Compared to a previous analysis that considered only the sensible cooling load, the objective of this new project was to evaluate the potential of night-sky radiation (NSR) to also serve the latent cooling load. ASHRAE standard 55 was used to establish the comfort limits (22°C for room temperature and 60% relative humidity). Condensation was evaluated as the mechanism for humidity reduction, thus the dew-point temperature, 13.9°C, corresponding to the ASHRAE limits was the maximum target temperature for night-sky cooling. Typical meteorological year (TMY3) weather data was used for eleven locations representing ASHRAE climate zones. Building heat gain, infiltration/ventilation requirements and night-sky radiator size were characterized by a load-to-radiator ratio LRR defined as the infiltration/ventilation volume flow rate times the ratio of building floor area to radiator area. Three values of LRR were evaluated: 0.35, 3.5 and 35 m/hr. Three thermal storage cases were considered: 1. Annual NSR cooling potential (seasonal storage), 2. Diurnal storage, and 3. The minimum storage capacity to serve the entire annual load, as well as the effects of capacity less than the minimum. To evaluate the effect of night-sky radiator temperature on storage capacity, six NSR temperatures Trad = 13.9 to −26.1°C were tested. Results showed that even in Miami, FL (the most challenging climate evaluated), annual NSR potential exceeded the total sensible and latent cooling load, at least for the lowest LRR and highest Trad. For diurnal storage, NSR could serve less than 20% of the load in the hot and humid southeast, but the entire load in the mountain west. The minimum storage capacity to meet the entire annual load corresponds to the capacity required to bridge the span of time without NSR availability during which the largest cooling load occurs. This capacity decreases with decreasing LRR and decreasing Trad. For the southeast, large capacity is required, but for Louisville, for instance, sufficient capacity is provided by the equivalent of as little as 0.05 m of water over the floor area of the building for LRR = 0.35 m/hr. These results demonstrate that for much of the US, night-sky radiation has the potential to serve the entire annual sensible and latent cooling load.
Raporty organizacyjne na temat "GROUND WATER POTENTIAL ZONES (GWPZS)"
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Guidati, Gianfranco, i Domenico Giardini. Joint synthesis “Geothermal Energy” of the NRP “Energy”. Swiss National Science Foundation (SNSF), luty 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.4.en.
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Near-to-surface geothermal energy with heat pumps is state of the art and is already widespread in Switzerland. In the future energy system, medium-deep to deep geothermal energy (1 to 6 kilometres) will, in addition, play an important role. To the forefront is the supply of heat for buildings and industrial processes. This form of geothermal energy utilisation requires a highly permeable underground area that allows a fluid – usually water – to absorb the naturally existing rock heat and then transport it to the surface. Sedimentary rocks are usually permeable by nature, whereas for granites and gneisses permeability must be artificially induced by injecting water. The heat gained in this way increases in line with the drilling depth: at a depth of 1 kilometre, the underground temperature is approximately 40°C, while at a depth of 3 kilometres it is around 100°C. To drive a steam turbine for the production of electricity, temperatures of over 100°C are required. As this requires greater depths of 3 to 6 kilometres, the risk of seismicity induced by the drilling also increases. Underground zones are also suitable for storing heat and gases, such as hydrogen or methane, and for the definitive storage of CO2. For this purpose, such zones need to fulfil similar requirements to those applicable to heat generation. In addition, however, a dense top layer is required above the reservoir so that the gas cannot escape. The joint project “Hydropower and geo-energy” of the NRP “Energy” focused on the question of where suitable ground layers can be found in Switzerland that optimally meet the requirements for the various uses. A second research priority concerned measures to reduce seismicity induced by deep drilling and the resulting damage to buildings. Models and simulations were also developed which contribute to a better understanding of the underground processes involved in the development and use of geothermal resources. In summary, the research results show that there are good conditions in Switzerland for the use of medium-deep geothermal energy (1 to 3 kilometres) – both for the building stock and for industrial processes. There are also grounds for optimism concerning the seasonal storage of heat and gases. In contrast, the potential for the definitive storage of CO2 in relevant quantities is rather limited. With respect to electricity production using deep geothermal energy (> 3 kilometres), the extent to which there is potential to exploit the underground economically is still not absolutely certain. In this regard, industrially operated demonstration plants are urgently needed in order to boost acceptance among the population and investors.
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Brydie, Dr James, Dr Alireza Jafari i Stephanie Trottier. PR-487-143727-R01 Modelling and Simulation of Subsurface Fluid Migration from Small Pipeline Leaks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), maj 2017. http://dx.doi.org/10.55274/r0011025.
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The dispersion and migration behavior of hydrocarbon products leaking at low rates (i.e. 1bbl/day and 10 bbl/day) from a pipeline have been studied using a combination of experimental leakage tests and numerical simulations. The focus of this study was to determine the influence of subsurface engineered boundaries associated with the trench walls, and the presence of a water table, upon the leakage behavior of a range of hydrocarbon products. The project numerically modelled three products including diesel, diluted bitumen (dilbit) and gasoline; which were chosen to span a range of fluid types and viscosities. Laboratory simulations of leakage were carried out for the most viscous product (i.e. dilbit) in order to capture plume dispersion in semi-real time, and to allow numerical predictions to be assessed against experimental data. Direct comparisons between observed plume dimensions over time and numerically predicted behavior suggested a good match under low moisture conditions, providing confidence that the numerical simulation was sufficiently reliable to model field-scale applications. Following a simulated two year initialization period, the leakage of products, their associated gas phase migration, thermal and geomechanical effects were simulated for a period of 365 days. Comparisons between product leakage rate, product type and soil moisture content were made and the spatial impacts of leakage were summarized. Variably compacted backfill within the trench, surrounded by undisturbed and more compacted natural soils, results porosity and permeability differences which control the migration of liquids, gases, thermal effects and surface heave. Dilbit migration is influenced heavily by the trench, and also its increasing viscosity as it cools and degases after leakage. Diesel and gasoline liquid plumes are also affected by the trench structure, but to a lesser extent, resulting in wider and longer plumes in the subsurface. In all cases, the migration of liquids and gases is facilitated by higher permeability zones at the base of the pipe. Volatile Organic Compounds (VOCs) migrate along the trench and break through at the surface within days of the leak. Temperature changes within the trench may increase due liquid migration, however the change in predicted temperature at the surface above the leak is less than 0.5�C above background. For gasoline, the large amount of degassing and diffusion through the soil results in cooling of the soil by up to 1�C. Induced surface displacement was predicted for dilbit and for one case of diesel, but only in the order of 0.2cm above baseline. Based upon the information gathered, recommendations are provided for the use and placement of generic leak detection sensor types (e.g liquid, gas, thermal, displacement) within the trench and / or above the ground surface. The monitoring locations suggested take into account requirements to detect pipeline leakage as early as possible in order to facilitate notification of the operator and to predict the potential extent of site characterization required during spill response and longer term remediation activities.