Multi-Criteria Decision Making and Dempster-Shafer Model Based Delineation of Groundwater Prospect Zones From A Semi-Arid Environment

Abstract The present study illustrates the delineation of the groundwater potential zones in one of the most critical and drought affected areas under Bundelkhand region of Uttar Pradesh. Hydrological evaluations were carried out in district Mahoba using GIS tools and remote sensing data which ultimately yielded several thematic maps, such as lineament density, land use/land cover, drainage density, lithology, slope, geomorphology, wetness index (WTI), altitude and soil. CartoDEM data which have spatial resolution of 30m i.e. equivalent to one arc second were used to create digital elevation model, drainage density, altitude, WTI and slope. The thematic layers were assigned relative weightages as per their groundwater potential prospects under multi-criteria decision making (MCDM) method through analytical hierarchy process (AHP). To recognize the groundwater potential zone, weighted overlay analysis was performed using ArcMap software. Additionally, for testing of the Dempster-Shafer model, 16 borewells in high potential areas have been selected. Based on the probability of the groundwater occurrence, the belief factor was equated. Further combining the weighted layers, groundwater potential zones were obtained. The groundwater potential maps illustrate five zones having different potential in the Mahoba district. According to the AHP model the north-west side of the study area is characterized with very good potential zones whereas the north-east and south-east region constitute medium and poor groundwater potential zones respectively. It reflects that more than 50% of the area is having medium groundwater potential while 30 percent of the area falls under low potential zone. 10% of the study area falls under very good groundwater potential zones. According to the DS model, very high groundwater zones constitute only 7% and the remaining area falls under poor potential. Overall accuracy of the DS model was higher than AHP model.

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Assessment and Modeling of Groundwater Potential Zones by using Geospatial and Decision-making approaches: A case study in Anantapur district, Andhra Pradesh, India

Hydrospatial Analysis ◽

10.21523/gcj3.2021050104 ◽

2021 ◽

Vol 5 (1) ◽

pp. 34-44

Author(s):

B. Pradeep Kumar ◽

K. Raghu Babu ◽

M. Rajasekhar ◽

M. Ramachandra

Keyword(s):

Andhra Pradesh ◽

Primary Source ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Exploration ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Thematic Layers ◽

Total Study Area

Freshwater scarcity is a major issue in Rayalaseema region in Andhra Pradesh (India). Groundwater is the primary source of drinking and irrigation water in Anantapur district, Andhra Pradesh, India. Therefore, it is important to identify areas having groundwater potential; however, the current methods of groundwater exploration consume a lot of time and money. Analytic Hierarchy Process (AHP)-based spatial model is used to identify groundwater potential zones in Anantapur using remote sensing and GIS-based decision support system. Thematic layers considered in this study were geology, geomorphology, soils, land use land cover (LULC), lineament density (LD), drainage density (DD), slope, and rainfall. According to Saaty’s AHP, all these themes and individual features were weighted according to their relative importance in groundwater occurrence. Thematic layers were finally combined using ArcGIS to prepare a groundwater potential zone map. The high weighted value area was considered a groundwater prospecting region. Accordingly, the GWPZ map was classified into four categories: very good, good, moderate, and poor. The very good GWPZ area is 77.37 km2 (24.93%) of the total study area. The northeastern and southeastern sections of the study area, as well as some medium patches in the center and western regions, are covered by moderate GWPZs, which cover an area of 53.07 km2 (17.10%). However, the GWP in the study area’s central, southwestern, and northern portions is poor, encompassing an area of approximately 79.31 km2 (25.56%). Finally, RS and GIS techniques are highly effective and useful for identifying GWPZs.

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Groundwater Potential Zone Mapping using Geo-spatial Tools for Watersheds in Upper Bhima Basin, Pune, India

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d7769.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 3548-3555

Keyword(s):

Satellite Image ◽

Drainage Density ◽

Groundwater Potential ◽

Controlling Factors ◽

Groundwater Potential Zone ◽

Subsurface Water ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Knowledge Based ◽

Geospatial Tools

Water is one of the primary requirements of any region for sustainable economic development. There are number of limitations regarding availability of surface and subsurface water due to various reasons, hence exploration of groundwater becomes inevitable. Main objective of this study was to map groundwater potential zones for study area using geospatial tools; which comprises of watersheds in Upper Bhima Basin, Pune district. The primary groundwater controlling factors considered are geomorphology, soil, land use land cover, slope, drainage density and lineament density; for which respective maps were prepared using satellite image, toposheets and incidental data. Maps for various layers according to above said controlling factors were generated from different data collected. Finally these thematic layers were integrated using ArcGIS software to prepare groundwater potential zone map for the study area. Groundwater potential zones were marked as ‘very poor, ‘poor’, ‘moderate’, ‘good’ and ‘very good’, based on knowledge based weightage factor. This, geo-spatial techniques based, result was validated using field data collected from the study area. It is concluded that using geospatial tool, identification and mapping for groundwater potential zones become comparatively easy task with saving lot of time and cost and with greater accuracy.

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Using GIS and Remote Sensing Techniques for Delineation of Groundwater Potential Zones - A Case Study of the Titel Municipality, Serbia

10.5194/egusphere-egu2020-22150 ◽

2020 ◽

Author(s):

Mirjana Radulović ◽

Tijana Đorđević ◽

Nastasija Grujić ◽

Branislav Pejak ◽

Sanja Brdar ◽

...

Keyword(s):

Remote Sensing ◽

Groundwater Resources ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Gis And Remote Sensing ◽

Freshwater Resource ◽

Artificial Surface

Dramatic population growth and climate change lead to an increasing demand for groundwater resources. According to The 2018 edition of the United Nations World Water Development Report, nearly 6 billion people will face severe water scarcity by 2050. Groundwater represents the world&#8217;s largest available freshwater resource and it is essential for domestic purpose, industrial, and agricultural uses. Therefore, it is very important to identify the potential locations for new groundwater zones development. Here, we utilized geographic information system (GIS) and remote sensing (RS) techniques for the delineation of groundwater potential zones in the Titel Municipality, located in the Autonomous Province of Vojvodina. The groundwater in the study area is affected by elevation difference, agricultural production, and its geographical position. Titel Municipality has a very good agriculture potential that can be only fully exploited by improving groundwater management. Considering that, for the delineation of groundwater potential zones we prepared 6 thematic layers such as geology, geomorphology, land use/land cover, soil, drainage density, and slope. According to their relevant importance in groundwater occurrence, all layers and their features were assigned weights using the Saaty&#8217;s scale. Weights of layers were normalized using analytical hierarchical process techniques (AHP). Finally, layers were integrated and overlaid using QGIS software for generating the Groundwater Potential Zone (GWPZ) map of the study area. As a result, the groundwater potential zones in the Titel Municipality were characterized and classified into five classes as very good (7.13%), good (35.44%), moderate (21.27%), poor (31.41%) and very poor (3.11%). With these techniques, we showed that very good and good groundwater zones are predominantly located in the alluvial plain and the lower river terrace, while poor zones mostly evident on the landform of the loess plateau and artificial surface. The GWPZ map will serve as a useful guide for sustainable management and utilization of the region as well as to improve the irrigation facility and develop the agriculture productivity of the area.

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Identification of groundwater potential zone of Nawada district, Bihar (India) – a study based on remote sensing and GIS platform

Hydrology Research ◽

10.2166/nh.2013.258 ◽

2013 ◽

Vol 45 (4-5) ◽

pp. 631-644 ◽

Cited By ~ 2

Author(s):

Gouri Sankar Bhunia ◽

Nandini Chatterjee ◽

Dilip Kumar Pal

Keyword(s):

Remote Sensing ◽

Low Cost ◽

Ground Truth ◽

Integrated Approach ◽

Drainage Density ◽

Groundwater Potential ◽

Combination Method ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones

A study was conducted to delineate the groundwater potential zones of Nawada district of Southern Bihar using satellite-derived information layers, namely, elevation, slope, drainage density, land use, fractional impervious surface (FIS) and also using existing thematic maps (lithology, soil, pre- and post-monsoon water level) based on the weighted linear combination method. On the basis of the relative contribution of each datum towards groundwater potential, the weight of each thematic map has been computed. The normalized weights of the individual themes and their different features were obtained through Saaty's analytical hierarchy process. Results showed that zones of ‘very high’ and ‘high’ groundwater potential are present in the central and northeastern part of the study area. ‘Very low’ and ‘low’ groundwater potential zones are found in the southeastern and very small pockets of the eastern corner of the district. Thus surface investigation of groundwater has proved that an integrated approach involving remote sensing and geographic information system (GIS) technique can be successfully used in identifying potential groundwater zones in a short time and at low cost, while the yield could be ascertained with some sample ground truth ‘test drillings’.

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GIS-based multi-criteria decision making and entropy approaches for groundwater potential zones delineation

Earth Science Informatics ◽

10.1007/s12145-021-00576-8 ◽

2021 ◽

Vol 14 (1) ◽

pp. 333-347

Author(s):

Elham Forootan ◽

Fakhrossadat Seyedi

Keyword(s):

Decision Making ◽

Groundwater Potential ◽

Multi Criteria Decision Making ◽

Groundwater Potential Zones

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Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

Water ◽

10.3390/w11122630 ◽

2019 ◽

Vol 11 (12) ◽

pp. 2630 ◽

Cited By ~ 6

Author(s):

Recep Çelik

Keyword(s):

Decision Making ◽

Multicriteria Decision Making ◽

Spatial Prediction ◽

Groundwater Potential ◽

Drainage Area ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Prediction Tool ◽

Multicriteria Decision ◽

Tigris River

The Tigris River Batman-Hasankeyf region sub-basin drainage area is in the Upper Tigris basin and lies between the area where the Batman stream joins the river and the Yanarsu stream flows into the river. Intensive agricultural activities are carried out in this region, and irrigation is generally obtained from groundwater just as it moves away from the riverfront. The study area is a valuable basin for both Turkey and the Middle East. In this study, the effectiveness of the Geographic Information System (GIS)-based multicriteria decision-making (MCDM) analytic hierarchy process (AHP) as a spatial prediction tool was utilized in exploring the groundwater potential of the drainage area. In the analysis, eight hydrological and hydrogeological criteria were considered as influencing factors, namely, geomorphology, geology, rainfall, drainage density, slope, lineament density, land use, and soil properties. The weights of these criteria were determined through the AHP method; the Arc GIS 10.2.2 program and its submodules were used. The major findings of the study were that groundwater-potential index values of the basin were derived. Groundwater-potential-zone evaluation of the basin was obtained as follows: very poor (19%), poor (17%), moderate (34%), good (17%), very good (13%); and groundwater potential zone (GWPZ) maps of the sub-basin were created.

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Assessment of Groundwater Potential Based on Multicriteria Decision Making Model and Decision Tree Algorithms

Mathematical Problems in Engineering ◽

10.1155/2016/2064575 ◽

2016 ◽

Vol 2016 ◽

pp. 1-11 ◽

Cited By ~ 15

Author(s):

Huajie Duan ◽

Zhengdong Deng ◽

Feifan Deng ◽

Daqing Wang

Keyword(s):

Decision Tree ◽

Global Climate ◽

Groundwater Potential ◽

Kappa Coefficient ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Multicriteria Decision ◽

Tree Algorithms ◽

Cart Algorithm

Groundwater plays an important role in global climate change and satisfying human needs. In the study, RS (remote sensing) and GIS (geographic information system) were utilized to generate five thematic layers, lithology, lineament density, topology, slope, and river density considered as factors influencing the groundwater potential. Then, the multicriteria decision model (MCDM) was integrated with C5.0 and CART, respectively, to generate the decision tree with 80 surveyed tube wells divided into four classes on the basis of the yield. To test the precision of the decision tree algorithms, the 10-fold cross validation and kappa coefficient were adopted and the average kappa coefficient for C5.0 and CART was 90.45% and 85.09%, respectively. After applying the decision tree to the whole study area, four classes of groundwater potential zones were demarcated. According to the classification result, the four grades of groundwater potential zones, “very good,” “good,” “moderate,” and “poor,” occupy 4.61%, 8.58%, 26.59%, and 60.23%, respectively, with C5.0 algorithm, while occupying the percentages of 4.68%, 10.09%, 26.10%, and 59.13%, respectively, with CART algorithm. Therefore, we can draw the conclusion that C5.0 algorithm is more appropriate than CART for the groundwater potential zone prediction.

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Assessment of groundwater potential zone using GIS-based multi-inﬂuencing factor (MIF), multi-criteria decision analysis (MCDA) and electrical resistivity survey techniques in Raipur city, Chhattisgarh, India

Journal of Water Supply Research and Technology—AQUA ◽

10.2166/aqua.2021.129 ◽

2021 ◽

Author(s):

D. C. Jhariya ◽

Rubia Khan ◽

K. C. Mondal ◽

Tarun Kumar ◽

Indhulekha K. ◽

...

Keyword(s):

Electrical Resistivity ◽

Influencing Factor ◽

Drainage Density ◽

Groundwater Potential ◽

High Potential ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Yield Data ◽

Electrical Resistivity Survey ◽

Well Yield

Abstract The present study involved the combined applications of advanced techniques and tools like remote sensing, GIS, electrical resistivity, MCDA, to assess the potential zones of groundwater occurrence. Several prepared thematic layers, including geology, geomorphology, rainfall, lineament, LULC, drainage density, soil type, slope, and soil texture, were assigned with a weight, depending on their influence on groundwater potential. Normalization concerned with relative contribution is applied in this study using the AHP method. Vertical electrical sounding has been conducted on different points to locate water-bearing formations/fracture zones. The resulting groundwater potential areas that are delineated applying these methods have been categorized into five zones, low, medium, medium-high, high, and very high potential. The groundwater potential zones demarcated show that high potential zones are present in the west and north-eastern portion, while low to medium groundwater potential is located in the central and eastern portion. The obtained result was validated using well yield data, and ROC method from which result accuracy obtained is 80% and the area under the ROC curve is found to be 0.857 at a significance value of less than 0.001, which justifies the efficacy of the proposed approach in the demarcation of groundwater potential zone.

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Use of Geospatial Techniques for Groundwater Potential Zone Mapping from Phonda Basin in Sindhudurg District Maharashtra: A Geological Influence Approach

10.21523/gcj3.18020205 ◽

2019 ◽

Vol 2 (2) ◽

pp. 124-133

Author(s):

Krushnath Shirke ◽

Kunal Bandivdekar

Keyword(s):

Drainage Density ◽

Groundwater Potential ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Individual Parameter ◽

Geospatial Techniques ◽

Thematic Layers ◽

Arc Gis ◽

Thematic Layer ◽

Gis Environment

The study was conducted to find out the groundwater potential zones (GWPZ) by using geospatial techniques in Phonda basin in Sindhudurg district of Maharashtra (India). Analytical Hierarchical Process (AHP) was used to demarcate the GWPZ using thematic layers: geology, geomorphology, lineament density, drainage density, elevation, slope, soil, rainfall and land use land cove (LULC). The ranks were assigned for each individual parameter of thematic layer and weights assigned to each thematic layer and final groundwater map was prepared by intersection all thematic layers in Arc GIS environment. GWPZs were categorized as: low, moderate, high and very high. Geological factors are influencing groundwater potentials according to geological formations and human activities. Geological influence approach of delineating the GWPZ is useful for planning and monitoring the groundwater resource for sustainable development.

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