scholarly journals Mapping of Potential Groundwater Recharge Zones: A Case Study of Maputaland Coastal Plain, South Africa

2021 ◽  
Author(s):  
Denisha Ponnusamy ◽  
N Rajmohan ◽  
Peiyue Li ◽  
M Thirumurugan ◽  
Chidambaram Sabarathinam ◽  
...  
Keyword(s):  
Groundwater Recharge ◽  
Coastal Plain ◽  
Groundwater Potential ◽  
Boolean Logic ◽  
Combination Method ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Thematic Layers ◽  
Potential Groundwater

Abstract The potential groundwater zones of the Maputaland coastal plain of Kwazulu-Natal is identified by comparing the Analytic hierarchy process (AHP)-Multi criteria decision-making (MCDM)techniqueand Boolean logical approach. The map of groundwater potential zones was prepared by generation and integration of 8 thematic layers, i.e. geology, geomorphology, lineament density, soils, slope, rainfall and land use. Each thematic layer wereassigned with subjective relative weights under AHP-MCDM technique and Boolean logic and were overlaid in aGIS platform to identify the groundwater potential zones. The groundwater potential zones were delineated under two different GIS techniques to obtain confident results. Weights of thematic layers were allocated using AHP normalized eigen vector methodology and weighted linear combination method was employed to find the groundwater potential index.Whereas in a Boolean approach, AND operator was appliedin order to integrate thematic layers to delineate the groundwater potential zones. The delineated groundwater potential maps using AHP-MCDM technique indicates that 6.0% (310.5 km2) from total area falls under very good; 67% (3467 km2) good; 25% (1294 km2) poor and 2% (103.5 km2) under very poor, whereas in Boolean logic about 70 % of the area (i.e. 3623 km2) constitutes good and 30 % (1552 km2) of the areasconstitutes poor groundwater potential zone. Further, the obtained results indicate thatthe geology, geomorphology, landuse and slope playeda vital role in groundwater recharge. Thispioneer study in maputaland coastal plainexplores the baseline data of the potential groundwater zones. The resultsemanating from this study can be used in further understanding of the available groundwater resources and can be helpful in future to find the suitable groundwater exploration sites in the area.

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.

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.

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

2013 ◽  
Vol 45 (4-5) ◽  
pp. 631-644 ◽  
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’.

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

2021 ◽  
Author(s):  
Hemant Kumar Pandey ◽  
Vishal Kumar Singh ◽  
Sudhir Kumar Singh
Keyword(s):  
Decision Making ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Groundwater Prospect ◽  
Potential Zone ◽  
Multi Criteria Decision Making ◽  
Groundwater Potential Zones ◽  
Ahp Model ◽  
The North

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.

scholarly journals Delineation of groundwater recharge zones in the Mitidja plain, north Algeria, using multi-criteria analysis

2020 ◽  
Vol 22 (6) ◽  
pp. 1468-1484
Author(s):  
Abdelmadjid Boufekane ◽  
Hind Meddi ◽  
Mohamed Meddi
Keyword(s):  
Groundwater Recharge ◽  
High Water ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Gis And Remote Sensing ◽  
Potential Groundwater ◽  
North Algeria ◽  
High Hydraulic Conductivity ◽  
Supply Information

Abstract This work aims to identify the potential groundwater recharge zones in the Mitidja plain (north Algeria) using the multi-criteria approach. The analysis was based on the use of a geographical information system (GIS) and remote sensing to establish eight thematic maps, weighted, categorized and inserted, that allowed us to establish the potential zones’ map for groundwater recharge. Three potential groundwater recharge classes were defined corresponding, respectively, to low (26%), moderate (47%) and high (27%). The best groundwater potential zones are situated in the piedmont of the Blidean Atlas (the south of the study area), precisely, upstream near to wadis (wadi El Harrach, wadi Djemaa, wadi Mazafran) and the western aquifer limit, where the hydrogeological units are formed by the alluvium formation which is characterized by high hydraulic conductivity, high water flow, low slope, low drainage, low quantity transported sediments and good water quality. The obtained results, in this work, describe the groundwater recharge potential areas and supply information for a suitable mapping and the management of aquifer resources in the study area.

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

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.

Groundwater prospect mapping using remote sensing, GIS and resistivity survey techniques in Chhokra Nala Raipur district, Chhattisgarh, India

2019 ◽  
Vol 68 (7) ◽  
pp. 595-606 ◽  
Author(s):  
K. Indhulekha ◽  
Kamalesh Chandra Mondal ◽  
D. C. Jhariya
Keyword(s):  
Remote Sensing ◽  
Industrial Area ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Groundwater Prospect ◽  
Potential Zone ◽  
Time Saving ◽  
Thematic Layers ◽  
Groundwater Availability ◽  
Resistivity Survey

Abstract Groundwater availability in urbanized areas is under high demand due to overconsumption and lack of recharge area. It is important to consider the groundwater scenario of the cities and industrial areas for its safe consumption and management. In this framework, remote sensing, geographic information system (GIS), is a tool which plays a vital role to map groundwater prospect zones due to its convenience and time-saving nature. The present study area, the watershed of Chhokra Nala, covers an area which consists partly of an industrial area and also Raipur city. The current study has utilized satellite imagery, along with other data sets, to develop different thematic layers such as geology, land use land cover, drainage and drainage density, lineament, geomorphology, rainfall, slope, groundwater depth and soil types. Integration of all these thematic layers through GIS analysis delineated the groundwater prospect zones by the application of a weighted index overlay method. A Resistivity Survey was also performed to locate groundwater potential zones. The groundwater potential zone map of the study area is categorized into five different zones, namely very low, low, moderate, high and very high.

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.

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