scholarly journals Modeling Groundwater Potential Zone in a Semi-Arid Region of Aseer Using Fuzzy-AHP and Geoinformation Techniques

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2656 ◽  
Author(s):  
Javed Mallick ◽  
Roohul Abad Khan ◽  
Mohd Ahmed ◽  
Saeed Dhafer Alqadhi ◽  
Majed Alsubih ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Fuzzy Ahp ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Yield Data ◽  
Good Potential ◽  
Semi Arid

Saudi Arabia’s arid and semi-arid regions suffer from water scarcity because of climatic constraints and rapid growth of domestic and industrial water uses. The growing demand for high-quality water supplies and to reduce the dependency on desalination creates an urgent need to explore groundwater resources as an alternative. The weighted overlay analysis method using the fuzzy-analytical hierarchy process (FAHP) multi-criteria decision making (MCDM) techniques combined with geoinformation technology was used in this study to explore the groundwater potential zones in the Itwad-Khamis watershed of Saudi Arabia. Twelve thematic layers were prepared and processed in a GIS setting to produce the groundwater potential zone map (GPZM). Subsequently, potential groundwater areas were delineated and drawn into five classes: very good potential, good potential, moderate potential, poor potential, and very poor potential. The estimated GWPZ (groundwater potential zones) was validated by analyzing the existing open wells distribution and the yield data of selected wells within the studied watershed. With this quality-based zoning, it was found that 82% of existing wells were located in a very good and good potential area. The statistical analysis showed that 14.6% and 28.8% of the total area were under very good and good, while 27.3% and 20.2% were accounted for the moderate and poor potential zone, respectively. To achieve sustainable groundwater management in the Aseer region, Saudi Arabia, this research provided a primary estimate and significant insights for local water managers and authorities by providing groundwater potential zone map.

scholarly journals Determination of groundwater potential distribution of Ceylanpinar plain (Turkey) in Upper Mesopotamia by using geographical information techniques and Fuzzy-AHP with MCDM

2021 ◽  
Author(s):  
Mehmet Fatih Dilekoglu ◽  
Veysel Aslan
Keyword(s):  
Global Climate ◽  
Fuzzy Ahp ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Yield Data ◽  
Potential Region

Abstract The Ceylanpinar Plain is an important part of Upper Mesopotamia and one of the largest plains of Turkey, is in danger of facing water scarcity due to global climate change. For this reason, the potential of Groundwater Resources is important. In this study, groundwater potential zones in the Ceylanpinar Plain basin were investigated utilizing a weighted overlay analysis method combined with fuzzy Analytical Hierarchy Process (FAHP) multi-criteria decision-making (MCDM) approaches and geoinformation technologies. The groundwater potential zone map was created using ten theme layers that were produced and processed in a GIS environment (GPZM). After that, possible groundwater zones were identified and classified into five categories: very good, good, medium, poor, and very poor. By assessing the present open well distribution and yield data of selected wells within the research catchment, the predicted GWPZ (groundwater potential zones) was confirmed. As a result, 17% of the study area was found to be very good, 39% good, 20% moderate, 21.4% poor and 2.6% very poor. This study provides a key estimate and crucial information for regional water administrators and officials in southeast Turkey by giving a map of the groundwater potential region, in order to ensure sustainable groundwater management.

scholarly journals An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

2021 ◽  
Author(s):  
Vyddiyaratnam Pathmanandakumar ◽  
Nadarajapillai Thasarathan ◽  
Manjula Ranagalage
Keyword(s):  
Sri Lanka ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Geographic Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Thematic Layers ◽  
Potential Groundwater ◽  
Very High

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 System, and a weighted overlay analysis is carried out to delineate groundwater zones. Thus the resultant map is categorized into five different potential zones: very low, low, moderate, high, and very high. It was found that the very high groundwater potential zone is mainly found in the north-eastern part of the study area covering 111.26 km2. The upper north-western, middle, and eastern parts of the study area fall within the high groundwater potential zone covering about 507.74 km2. The moderate groundwater potential zones (309.89 km2) mainly occurred in the western part, and the extreme west part of the study area falls under low (207.78 km2) and very low (59.12 km2) zones. The groundwater potential map was validated with the existing seventy-nine wells, which indicated a good prediction accuracy of 81.8%. This research will help policymakers better manage the Kilinochchi district's groundwater resources and gives scope for further research into groundwater exploration in the area.

scholarly journals Application of Remote Sensing, GIS and Hydrogeophysics to Groundwater Exploration in parts of Lagos Metropolis: A case study of Oshodi/Isolo LGA

2019 ◽  
Vol 3 (1) ◽  
pp. 41-55 ◽  
Author(s):  
E. E. Epuh ◽  
K. A. Sanni ◽  
M. J. Orji
Keyword(s):  
Remote Sensing ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Remote Sensing And Gis ◽  
Groundwater Potential Zone ◽  
Landsat 8 ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Thematic Maps ◽  
Groundwater Availability

Productivity through groundwater is quite high as compared to surface water, but groundwater resources have not yet been properly exploited. The present study is used to delineate various groundwater potential zones for the assessment of groundwater availability in Lagos metropolis using remote sensing and GIS and hydrogeophysics techniques. Landsat 8, SRTM, geological, soil, and rainfall data were used in the study to prepare various thematic maps, viz., geomorphological, slope, soil, lineament density, rainfall and land use maps. On the basis of relative contribution of each of these maps towards groundwater potential, the weight of each thematic map have been selected and assigned to each map. Hydrogeophysics investigation using Vertical Electric Sounding (VES) was applied to validate the remote sensing and GIS results. All the thematic maps have been registered with one another through ground control points and integrated using the weighted overlay method in GIS for computing groundwater potential index. Based on the methological approach, the ground water potential zones were delineated. The results showed that there are five categories of groundwater potential zones within the study area in which percentage values were contained in each of the categories thereby making major portion of the study area “high” and “moderate” prospect while a few scattered areas have “low” prospect. The very high potential areas are mainly concentrated along the River Alluvium while the “very low” prospect are majorly where there is sand and clay. The best groundwater potential zone is in the southern part due to the presence of fractures, swamp soils which have high infiltration ability and the presence of waterbody which is chiefly accountable for the groundwater recharge in any area. The VES data showed the depth of the aquifer for good water and the polluted aquifer within the study area.

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

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

<p>Dramatic population growth and climate change lead to an increasing demand for groundwater resources. According to <em>The 2018 edition of the United Nations World Water Development Report</em>, nearly 6 billion people will face severe water scarcity by 2050. Groundwater represents the world’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’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 <em>very good</em> (7.13%), <em>good</em> (35.44%), <em>moderate</em> (21.27%), <em>poor</em> (31.41%) and <em>very poor</em> (3.11%). With these techniques, we showed that <em>very good</em> and <em>good</em> groundwater zones are predominantly located in the alluvial plain and the lower river terrace, while <em>poor</em> 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.</p>

scholarly journals Regional Assessment of Groundwater Potential Zone Using Remote Sensing, GIS and Multi Criteria Decision Analysis Techniques

2020 ◽  
Vol 3 (3b) ◽  
pp. 99-111
Author(s):  
JS Ejepu
Keyword(s):  
Remote Sensing ◽  
Decision Analysis ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Resource Exploitation ◽  
Multi Criteria Decision Analysis

The growing demand for freshwater for domestic and industrial purposes is a current challenge in the Upper Niger River Basin Development Authority area. Consequently, there is heavy demand for groundwater resources to meet this need. This challenge has worsened due to the non-incorporation of integrated methods in groundwater exploration campaigns. Innovative scientific principles and quantitative assessment of groundwater resources are required for sustainable and proper management of the resources. Therefore, the objective of this paper is to exploit the potential application of remote sensing, Geographic Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques in mapping groundwater potential zones. To achieve this, seven factors deemed to have significant control over the occurrence and movement of groundwater viz. geology, lineament density, slope, drainage density, rainfall, land-use/land cover, and soil class were produced. These factors were assigned weights and normalized with respect to their relative contributions to groundwater occurrence using the Analytic Hierarchy Process (AHP). This resulted in groundwater potential zones that have been classified into four: Very good, Good, Moderate and Poor representing 7%, 27%, 43%, and 23% respectively. This result represents groundwater potential in the area and should be used as a preliminary reference in selecting prospective sites for detailed groundwater resource exploitation

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

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.

scholarly journals Geospatial delineation and mapping of groundwater potential in Embu County, Kenya

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Mary Christine Chepchumba ◽  
James M. Raude ◽  
Joseph K. Sang
Keyword(s):  
Groundwater Resources ◽  
Principal Component ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Landsat 8 ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Study Approach ◽  
Rs And Gis ◽  
Groundwater Potential Map

Integration of Remote Sensing (RS) and the Geographical Information System (GIS) approaches in the field of groundwater resources management is a breakthrough. The RS and GIS geospatial approaches can enhance the assessment, monitoring, and conservation of groundwater resources. In this study, RS and GIS geospatial techniques were applied with the aim of identifying groundwater potential zones in Embu County, Kenya, based on selected multi influencing factors. Lineament layer was obtained by processing Landsat 8 ETM+ image using Principal Component Analysis in ENVI®4.7 and automatic extraction from Principal Component Image using the LINE module in Geomatica software. The resultant groundwater potential map showed that approximately 78% of the total area ranged from ‘high’ to ‘very high’ zones indicating that almost half of the study area has good groundwater potential. About 20% showed moderate potential while only 2% fell under the low potential zone. The proposed study approach can be used as a new way of modeling geospatial data for identification and mapping of groundwater potential zones. The study findings are useful to first-hand information planners and local authorities for assessment, planning, management and administration of groundwater resources in Embu County.

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

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
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.

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

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.

scholarly journals 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

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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