scholarly journals Groundwater Potentiality Prediction Using AHP-MCDA and GBT Model in a Typical Basement Complex, Nigeria: Insights From Remote Sensing and Geophysical Datasets

2022 ◽  
Author(s):  
Balogun Olabode Olumide ◽  
Akintorinwa Olaoluwa James ◽  
Mogaji Kehinde Anthony
Keyword(s):  
Drainage Density ◽  
Groundwater Potential ◽  
Data Driven ◽  
Groundwater Potential Zone ◽  
Gradient Boosting ◽  
Potential Zone ◽  
Basement Complex ◽  
True Nature ◽  
Groundwater Potentiality ◽  
Depth Sounding

Abstract Delineation of geologic features that are capable of hosting water in economic quantity in the Basement Complex has been a major concern because they are usually localized due to restricted fractured and weathered rock. To effectively evaluate the groundwater potentiality prediction index (GPPI) accuracy of an area, solely depends on the groundwater potentiality predictors (GPPs) considered and the statistical model used in analyzing the data. Therefore, the acquired remotely sensed and geophysical depth sounding database processed using autopartial curve matching software and computer aided iteration to determine was analyzed using the conventional Analytical Hierarchy Process (AHP) model and the machine learning Gradient Boosting Tree (GBT) data driven model. Such a data driven model (GBT) is efficient in solving complex and cognitive problems in high uncertainty and complex environments. Twelve (12) groundwater potentiality predictors (GPPs) namely: Digital Elevation Model (DEM), Slope (S), Drainage Density (Dd), Land Use (Lu), Aquifer Resistivity (ρa), Aquifer Thickness (h), Overburden Thickness (b), Aquifer Hydraulic Conductivity (k), Aquifer Transmissivity (Tr), Aquifer Storativity (St), Aquifer Diffusivity (D), Aquifer Reflection Coefficient (Rc). The efficacy of GBT model was applied using the Salford Predictive Modeler 8.0 software. The data were partitioned into training and test dataset in ratio 90:10 using k-10 cross validation techniques. Their prediction importance was determined and the groundwater potentiality prediction index calculated and processed in the ArcGIS environment to produce the groundwater potential prediction index (GPPI) map of the investigated area. The investigated area was classed into three (3) zonations of low, moderate and high groundwater potential with about 56% classed within the low groundwater potential zone. Fifteen (15) water column measurement from wells was used to validate the developed model by calculating the predictive correlation accuracy (PCA) using the spearman's correlation analysis. The AHP-GPPI and GBT-GPPI model gave a correlation of (rs = 0.66; p = .007) and (rs = 0.74; p = .002) respectively. In conclusion, the model has proven that the drop in aquifer resistivity doesn't necessitate the presence of groundwater but rather several parameter should be integrated together to better understand the true nature of the aquifer.

scholarly journals Mapping Groundwater Potential for Irrigation, by Geographical Information System and Remote Sensing Techniques: A Case Study of District Lower Dir, Pakistan

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 669
Author(s):  
Abid Sarwar ◽  
Sajid Rashid Ahmad ◽  
Muhammad Ishaq Asif Rehmani ◽  
Muhammad Asif Javid ◽  
Shazia Gulzar ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Table ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Relative Significance ◽  
High Good ◽  
Groundwater Potentiality ◽  
Very High

The changing climate and global warming have rendered existing surface water insufficient, which is projected to adversely influence the irrigated farming systems globally. Consequently, groundwater demand has increased significantly owing to increasing population and demand for plant-based foods especially in South Asia and Pakistan. This study aimed to determine the potential areas for groundwater use for agriculture sector development in the study area Lower Dir District. ArcGIS 10.4 was utilized for geospatial analysis, which is referred to as Multi Influencing Factor (MIF) methodology. Seven parameters including land cover, geology, soil, rainfall, underground faults (liniment) density, drainage density, and slope, were utilized for delineation purpose. Considering relative significance and influence of each parameter in the groundwater recharge rating and weightage was given and potential groundwater areas were classified into very high, high, good, and poor. The result of classification disclosed that the areas of 113.10, 659.38, 674.68, and 124.17 km2 had very high, high, good, and poor potential for groundwater agricultural uses, respectively. Field surveys for water table indicated groundwater potentiality, which was high for Kotkay and Lalqila union councils having shallow water table. However, groundwater potentiality was poor in Zimdara, Khal, and Talash, characterized with a very deep water table. Moreover, the study effectively revealed that remote sensing and GIS could be developed as potent tools for mapping potential sites for groundwater utilization. Furthermore, MIF technique could be a suitable approach for delineation of groundwater potential zone, which can be applied for further research in different areas.

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 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.

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.

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.

scholarly journals Evaluation of Groundwater Potential Zone Using Remote Sensing and Geographical Information System: in Kaffa Zone, South Western Ethiopia

2021 ◽  
Vol 6 (2) ◽  
pp. 36-52
Author(s):  
Azarias Woldegebriel ◽  
◽  
Temesgen Amibo ◽  
Abreham Bayu ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Prediction Accuracy ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Software Analysis ◽  
Potential Resource ◽  
Western Ethiopia

This study focused on delineating the groundwater potential and recharge area for Kaffa Zone by the method of remote sensing and ArcGIS 10.4 software analysis techniques. There are six main influencing factors (rainfall, slope, land use/cover, lineaments, drainage density, and Lithology) selected for groundwater recharge zone mapping. The thematic maps were scanned, geo-referenced, and classified as suitable for groundwater using ArcGIS 10.4. The methods to assess the potential zone were using weight overlay analysis and hierarchy of analytical process algorithm. The result obtained the potential of ground water were discussed recharge zones into four major categories: very good, good, and moderate and low. This can help for better planning and management the potential resource of groundwater. The results analyzed the groundwater potential that were subdivided in to low, moderate, high, and very high groundwater potentials areas that cover 1664.1,7682.9, 958.27, and 192.78 km2 respectively. The prediction accuracy was checked based on the borehole yield observed and predicted data of respective locations within the selected area. The prediction accuracy obtained (68.42%) reflects that the present study's method was produced significantly reliable and precise results.

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 Application of GIS and Remote Sensing for Identification of Groundwater Potential Zone in the Hilly Terrain of Bangladesh

2020 ◽  
Vol 3 (3) ◽  
pp. 16-27
Author(s):  
Md. Abu Hamjalal Babu ◽  
Md. Risadul Islam ◽  
Fahim Farzana ◽  
Muhammad Jasim Uddin ◽  
Md. Sirajul Islam
Keyword(s):  
Remote Sensing ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Subsurface Water ◽  
Potential Zone ◽  
Hilly Terrain ◽  
Gis And Remote Sensing ◽  
Potential Groundwater ◽  
Gis System

Groundwater is the most significant assets on the planet and is declining continuously. The integration of GIS system and remote sensing turned into substantial tools in the field of subsurface water study, which assists in surveying, observing and monitoring the groundwater capitals. With this backdrop, using GIS and remote sensing application, a study was conducted to identify the potential groundwater zones in the hilly district Khagrachhari. The ground water potential zones were identified based on different thematic maps such as drainage, density, lineament density, slope, land use or land cover, soil and geology by using weighted overlay analysis. The groundwater potential zones were investigated orderly into four classes known as poor, moderate, good and very good. This groundwater potential information will work as a guideline to the concerned local authority to identify effectively the suitable locations for the extraction of groundwater.

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’.

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