Application of GIS, Multi-Criteria Decision-Making Techniques for Mapping Groundwater Potential Zones: A Case Study of Thalawa Division, Sri Lanka (original) (raw)
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Groundwater is an essential factor in the aquifer recharging and management for the drinking, irrigation, and economy. Currently unpredictable rainfall due to climate change and pollution on the earth's surface, these problems directly affect the demand for groundwater in the more affected area of the globe. In this study, we have selected two methods such as Analytical Hierarchy Process (AHP) and Multiple Influence Factors (MIF), which would be applied for the groundwater potential zone maps. We have been prepared the nine thematic layers such as LULC, geomorphology, soil, drainage density, slope, lineament density, elevation, groundwater level, and geology maps using remote sensing and GIS techniques. These layers are integrated in the Arc GIS software with the help of AHP and MIF methods. We were identified into four classes, i.e., Poor, Moderate, Good, and Very Good based on AHP and MF methods. The groundwater potentials zones area is 241.50 (ha.). Poor, 285.64 (ha.) moderat...
In this study, an effort has been made to locate the subsurface basin for groundwater storage and to identify the suitable destination for the sustainable domestic, agricultural, and drinking needs to demarcate groundwater potential zones (GWPZ) for Srivaikundam region in Thoothukudi district, Tamil Nadu, India, using remote sensing and geographical information system (GIS) with analytical hierarchy process (AHP). According to their respective importance for groundwater occurrence, Saaty's scale was appropriately weighted to give the thematic layers and their attributes. The selected thematic maps were then merged using the weighted linear combination method to produce the final groundwater potential zone map after the layers' assigned weights and their features had been standardized using the Analytic Hierarchy Process (AHP) and eigenvector approach. Based on Saaty's 9-point scale, each criterion or factor was given the proper weight, and the weights were then normalize...
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The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the existing groundwater resources should be managed to overcome the situation. Several authors worldwide have published studies on the delineation of potential groundwater zone. However, only a few studies addressed the delineation of potential groundwater zones in the Kilinochchi district. This study aims to delineate potential groundwater zones in Kilinochchi, Sri Lanka using integrated Remote Sensing, Geographic Information Systems, and Analytic Hierarchy Process techniques. Groundwater potential zones are demarcated for the Kilinochchi district by overlaying thematic layers: geology, geomorphology, land use/land cover, soil types, drainage density, slope, lineament, and rainfall. Saaty's scale was applied to the assigned weights of the chosen thematic layers and their features. The thematic layers were integrated into a Geographic Information...
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2019
The water present in the subsurface is considered as a high treasured water source. The present study deals with the delineation of groundwater potential zone in Tirunelveli Taluk, Tamil Nadu, South India. The study area lies between longitude 77°32 0 16 00 to 77°48 0 8 00 E and latitude 8°40 0 12 00 to 8°56 0 34 00 N with an area of 558.42 km 2. The groundwater potential zone of the Tirunelveli Taluk was inferred by the following layers, namely geology, geomorphology, lineament density, drainage density, rainfall, slope, soil and land use/land cover. These layers are digitized with the scale of 1:50,000 in GIS environment from the spatial data sources such as SOI topographic maps, GSI geology map, LANDSAT 8 satellite image, SRTM DEM, Tamil Nadu Agricultural Department daily rainfall data and available existing maps. The weights of the feature layers and ranking of each feature classes arrive from the pairwise comparison techniques of AHP technique. The prepared thematic maps are reclassified based on the influence of the layers feature classes on the groundwater availability. Finally, the reclassified layers are overlaid using weighted overlay tool to prepare groundwater prospect map. The finally this study resulted that 5.76 km 2 of the study area is identified as very high groundwater potential. The high potential area covers 382.9 km 2 , and medium potential zone covers 169.72 km 2 .
International Journal of Recent Scientific Research, 2018
The present study is an attempt to delineate the groundwater potential zones in Dindigul District, Tamil Nadu, India, using an integrated approach of geospatial techniques. The study is based on identifying the physical features that promote the groundwater potential and bringing it into the GIS platform. On the basis of corresponding contribution of each of these physical features towards groundwater potential the feature are identified as geomorphology, geology, slope, soil, land use and land cover, rainfall, drainage density and lineament density. These features are weighted and ranked depending on their capability to hold groundwater, using the integration method in GIS for calculating the groundwater potential index. Each weighted thematic layer is statistically computed to get the groundwater potential zones. The Analytic Hierarchy Approach (AHP) is used to determine the weights of various themes for identifying the groundwater potential zone based on weights assignment and normalization with respect to the relative contribution of the different themes to groundwater occurrence. The groundwater potential zones were obtained by overlaying all the thematic maps using the spatial analysis tools in ArcGIS 10.1. It is identified as five categories of groundwater potential zones i.e. Very Good, Good, Moderate, Poor and Very Poor groundwater potential zones. The result depicts the groundwater potential zones in the study area and found to be helpful in better planning and management of groundwater resources.
Groundwater for Sustainable Development
The present study emphasizes the effectiveness of the integration of remote sensing, GIS and analytical hierarchy process (AHP) techniques in groundwater management, specifically in the delineation of the groundwater potential zones (GWPZs). In this study, various geoenvironmental factors, such as lithology, geomorphology, land use/land cover, the density of lineaments and stream network, slope, and soil texture are used to identify the GWPZs and to classify the spatially distributed groundwater potential of the Manimala River Basin (MRB)-a tropical river basin of the southern Western Ghats (Kerala State, India). A multi-criteria decision analysis (MCDA) is performed in ArcGIS, using the weights of different themes generated by the AHP technique, for the delineation of the GWPZs of the basin. The results indicate that nearly 50% of the basin area (mostly across the highlands and the midlands physiographic zones of the basin) is characterized by moderate to poor groundwater potential, whereas the very good potential zones extend across 20% of the basin area. Among the different geoenvironmental factors, lithology, lineament density and geomorphology have decisive roles in the occurrence of groundwater of the basin. Validation of the delineation of the GWPZs of the basin using the groundwater yield data of a limited number of dug wells underscores the efficiency of the integrated approach as well as the suitability of the geoenvironmental factors (used in the study) for the identification of the groundwater potential of the region.
The sustainable development and management of groundwater resource needs quantitative assessment, based on scientific principle and recent techniques. In the present study, groundwater potential zone is being determined using remote sensing, Geographical Information System (GIS) and Multi-Criteria Decision Analysis (MCDA) techniques using various thematic layers viz. geomorphology, geology, drainage density, slope, rainfall, soil texture, groundwater depth, soil depth, lineament and land use/ land cover. The Analytic Hierarchy Approach (AHP) is used to determine the weights of various themes for identifying the groundwater potential zone based on weights assignment and normalization with respect to the relative contribution of the different themes to groundwater occurrence. Finally, obtained groundwater potential zones were classified into five categories, viz. low, medium, medium-high, high and very high potential zone. The result depicts the groundwater potential zone in the study area and found to be helpful in better development and management planning of groundwater resource.
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Hydrogeologists and other allied professionals involved in the exploration and management of water resources have benefited greatly from the integration of geospatial techniques and remote sensing (RS) applications for identifying prospective or possible groundwater availability zones. This method is progressively becoming a viable alternative to the traditional geophysical survey for groundwater (GW) exploration, which is costly, time-consuming, and labour-intensive. This research explored the applicability of integrating RS, geospatial technologies and multi-criteria decision analysis (MCDA) for mapping and classifying GW potential zones in Bosso Local Government Area of Niger State in Northern-Nigeria. Five thematic maps were produced which represent the factors that influence and control the occurrence and transportation of GW. These factors are geology, lineament density, slope, land use and land cover, and drainage density. Normalized weights were assigned to these factors usi...
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The study aims to demarcate groundwater potential zones in the Coimbatore district of South India using geographic information system (GIS), remote sensing (RS), and multi-criteria decision analysis (MCDA) methods. A total of 10 thematic layers such as geomorphology, geology, lineament density, land use/land cover (LULC), soil, drainage density, rainfall, slope, curvature and topographic wetness index (TWI) were created and analysed for groundwater potential zone delineation. The analytical hierarchal process (AHP) was employed to assign suitable weights to various thematic maps. The Weighted sum overlay analysis tool of ArcGIS 10.5 was used to overlay the thematic layers to generate the study area's groundwater potential zone (GWPZ) map. The resulting map was categorised into excellent, good, moderate, and poor. The findings indicate that about 16% and 37% of the study area is classified as poor and moderate groundwater potential zones, respectively, while approximately 26% and 21% fall under the good and excellent potential zones. The obtained results were validated using pre-and post-monsoon groundwater fluctuation data, which demonstrated consistency with the methodology adopted. Overall results prove the efficacy of using geospatial technology in combination with AHP in delineating groundwater potential zones. Hence, the results obtained can be helpful for decision-makers in the planning and management of groundwater resources and for locating the sites for new borewells in the study area.
In the current revision, to examine analytical hierarchy system has been apply toward the describe groundwater potential founded on incorporated Geographic Information System (GIS) with Remote Sensing methods in Nagavathi Sub Basin, India. At initial the climatic reason, topographic factors, water related factors, geological factors, hydro geological factors and other ecological factor for instance land use or land cowl plus soil depth were caused by the spatial geodatabase. Secondly, the 29 groundwater facts among high possible yield value of C 40 m 3 /h were composed and map in GIS. Out these, 20 cases (70 %) were arbitrarily elected for models training, and the remaining 9 cases (30 %) were used for the validation purposes. Then, the assigned weights of the mastic layers based totally on professional information have been normalized by using eigenvector technique of AHP. To organize groundwater potential guide, Weighted Linear Combination scheme was functional in GIS. Eventually the receiver running characteristic (ROC) curve become drawn for groundwater capacity map and the vicinity underneath curve (AUC) turned into computed. Results showed to the rainfall with slope percent aspect enclose the most and least weights respectively. Evaluation of results illustrate to facilitate the AHP technique (AUC = 75.20 %) execute good predication accuracy. Result of this revision could be valuable for better board of water resources in study area and give planners with decision maker to prepare appropriate groundwater investment plans for sustainable environment.