Identification of Groundwater Potential Zones using AHP and Geospatial Techniques in Western Part of Cuddapah Basin, Andhra Pradesh, India

2020 ◽  
Vol 3 (2) ◽  
pp. 60-71
Author(s):  
Ramachandra M. ◽  
Raghu Babu K. ◽  
Rajasekhar M. ◽  
Pradeep Kumar B.
Keyword(s):  
Andhra Pradesh ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Water Levels ◽  
Geographical Information ◽  
Cuddapah Basin ◽  
Groundwater Potential Zones ◽  
Lineament Density ◽  
Geospatial Techniques ◽  
Hierarchy Process

Present study is carried out for delineation of Groundwater Potential Zones (GWPZ) in Western part of Cuddapah basin, Southern India using Remote Sensing (RS), Geographical Information System (GIS) and Analytical Hierarchy Process (AHP). Various categorized thematic maps: geology, geomorphology (GM), slope, soils, lineament density (LD), drainage density (DD) and gorundwater levels fluctuations (GWLF) were used for mapping and delineation of GWPZs. Suitable and normalized weights were assigned based on AHP to identify GWPZ. The GWPZ map was categorized into five GWPZs types: very poor, poor, moderate, good and very good. About 1.48% (6.05 km2) area is classified in ‘very good’, 25.95% (106.07 km2) in ‘good’, 47.11% (192.53 km2) in ‘moderate’, 22.12% (90.38 km2) in ‘poor’ and 3.34% (13.66 km2) in ‘very poor’ category. The acquired outcomes were validated with water levels fluctuations in pre- and post-monsoon seasons. GIS-based multi-criteria decision making approach is useful for preparation of precise and reliable data. The AHP approach, with the aptitudes of the geospatial data, various data bases can be combined to create conceptual model for identification and estimation of GWPZs.

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.

Mapping of Groundwater potential zones in Lingasugur Taluk in North-eastern part of Karnataka, India using Remote Sensing, GIS and multi-criteria data analysis

2021 ◽  
Vol 14 (12) ◽  
pp. 13-22
Author(s):  
Ajgaonkar Swanand ◽  
S. Manjunatha
Keyword(s):  
Remote Sensing ◽  
Groundwater Resources ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Thematic Maps ◽  
North Eastern

Groundwater research has evolved tremendously as presently it is the need of society. Remote Sensing (RS) and Geographical Information System (GIS) are the main methods in finding the potential zones for the groundwater. They help in assessing, exploring, monitoring and conserving groundwater resources. A case study was conducted to find the groundwater potential zones in Lingasugur taluk, Raichur District, Karnataka State, India. Ten thematic maps were prepared for the study area such as geology, hydrogeomorphology, land use/ land cover, soil type, NDVI, NDWI, slope map, lineament density, rainfall and drainage density. A weighted overlay superimposed method was used after converting all the thematic maps in raster format. Thus from analysis, the classes in groundwater potential were made as very good, moderate, poor and very poor zones covering an area of 10.1 sq.km., 169.25 sq.km., 1732.31 sq.km. and 53.66 sq.km. respectively. By taking the present study into consideration, the future plans for urbanization, recharge structures and groundwater exploration sites can be decided.

scholarly journals Integrated Geospatial Multi Influencing Factor Approach to Delineate and Identify Groundwater Potential Zones in Kabul Province, Afghanistan

2021 ◽  
Author(s):  
Muhammad Jamal Nasir ◽  
Sajjad Khan ◽  
Tehreem Ayaz ◽  
Amir Zeb Khan ◽  
Waqas Ahmad ◽  
...  
Keyword(s):  
Groundwater Resources ◽  
Influencing Factor ◽  
Relative Weight ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Land Use Land Cover ◽  
Groundwater Potential Zones ◽  
Lineament Density ◽  
Study Results ◽  
Groundwater Potentiality

Abstract This study was an attempt to evaluate the groundwater potentiality in Kabul province, Afghanistan using geospatial multi influencing factor (MIF) approach. The influencing parameters employed for the assessment of groundwater potential zones (GWPZ) includes slope, geology, soil, land use/land cover, lineament density, rainfall and drainage density. The sub-classes within each influencing parameter were sub-divided, based on their effectiveness in groundwater potentiality as major, minor and no effect, and subsequently assigned a score value. The combined score value of these parameters was used for calculating the relative weight. The delineated GWPZ were classified in four groups, i.e. poor, moderate, good and very good GWPZ. The study results revealed that very good GWPZ covered an area of 354.87km2 (2% of the total area), good 1523.86 km2 (20%), moderate 2250.99 km2 (73%) and poor 477.19 km2 (5%). The study concluded that geospatial assisted MIF approach was very useful and efficient techniques for the assessment of GWPZ and can be effectively employed to enhance the conceptual understanding of groundwater resources of Kabul Basin, Afghanistan.

scholarly journals Identification of ground water recharge potential zones by using remote sensing and geographic information system

2020 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Ballu Harish ◽  
Mahammad Haseena
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Ground Water ◽  
Water Potential ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Gis And Remote Sensing ◽  
Remote Sensing Techniques

<p><strong>Background: </strong>The ground water is the most precious and important resource around the world and is decreasing day by day. In connection, there is a need to bound the potential groundwater zones. The geographical information system (GIS) and remote sensing techniques have become important tools to locate groundwater potential zones.</p><p><strong>Methods</strong>: This research has been carried out to identify ground water potential zones in Nuthankal Mandal with help of GIS and remote sensing techniques. In order to evaluate the ground water potential zones, different thematic maps such as geology, slope, soil, drainage density map, land use and land cover and surface water bodies i.e., lakes and other using remotely-sensed data as well as toposheets and secondary data, collected from concern department. The prepared layers are further used for mapping and identification of ground water potential zones.</p><p><strong>Results</strong>: In this study ground water potential zones are demarked with the help of composite maps, which are generated using GIS tools. The accurate information to obtain the parameters that can be considered for identifying the ground water potential zone such as geology, slope, drainage density and lineament density are generated using the satellite data and survey of India (SOI) Topo-sheets, the groundwater potential zones are classified into five categories like very poor, poor, moderate, good &amp; very good. The use of suggested methodology is demonstrated for a selected study area in Nuthankal Mandal.</p><p><strong>Conclusions</strong>: This groundwater potential information was also used for identification of suitable locations for extraction of water.</p>

scholarly journals Multi criterion Analysis for Ground water Potential Zones along River Gostani and surroundings of Visakhapatnam, Andhra Pradesh, India.

2018 ◽  
Vol 7 (3.31) ◽  
pp. 186
Author(s):  
K M.Ganesh ◽  
G Jai Sankar ◽  
M Jagannadha Rao ◽  
A C.S.V. Prasad
Keyword(s):  
Information System ◽  
Andhra Pradesh ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Overlay Analysis ◽  
Land Use Land Cover ◽  
Groundwater Potential Zones ◽  
Analytical Hierarchical Process ◽  
Weighted Overlay ◽  
Criterion Analysis

The present study is to make an analysis of the groundwater potential zones along Gostani river and the nearby areas.  The data is collected from the field concern department and through internet to make a study.  For the study seven parameters have been taken into consideration like geology, geomorphology, drainage, slope, soil, land use / land cover and lineaments.   Thematic maps prepared and reclassified under Geographical Information System (G.I.S) environment.  Weightage for each theme and its classes have been allocated by making use of weighted overlay analysis and then Analytical Hierarchical Process in Arc G.I.S. so as to find out the result.  

scholarly journals Integration of Delphi Technique and Analytical Hierarchy Process Method in Assessment the Groundwater Potential Influence Criteria: A Case Study of the Ba River Basin

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Tuyet Minh DANG ◽  
Le Tung Duong NGUYEN
Keyword(s):  
Land Cover ◽  
River Basin ◽  
Weight Vector ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Sensitivity Analyses ◽  
Lineament Density ◽  
Analytic Hierarchy ◽  
Study Results ◽  
Hierarchy Process

Water is a boon for all living beings over the world and groundwater is considered one of theindispensable natural sources of potable water. It is necessary to assess and predict the groundwaterpotential to provide insights for decision-makers for proper planning and management of groundwater.The occurrence of groundwater depends on hydrological, ecological, climate, geological, andphysiographical criteria. The purpose of the present study is to choose and attribute scores to all variousfactors that affected groundwater prospects in the Ba river basin. Firstly, the Delphi method was appliedin the expert-based survey to choose six parameters that are considered as influencing factors, namely,lineament density, rainfall, slope, land cover, drainage density, and geology. Then, the weights for thevarious factors were generated using the Analytic Hierarchy Process (AHP) approach which allows thepairwise comparison of criteria influencing the potential areas. The consistency analyses show that thefindings were consistent with a previous study. The consistency and sensitivity analyses showed that theobtained results were coherent, providing the weight vector of the achievable criteria that affect thegroundwater prospect in the study area. The study reveals that lineament density and slope are criteriaaffecting the most prominent groundwater occurrence with 35.1% and 20.1%, respectively. However, theinfluence of other factors (rainfall, land cover, drainage density, and geology) is not visible. These criteriaare assigned to the small weights and do not have a significant influence on the groundwater potential.The study results provide baseline

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