An integrated approach to delineate the groundwater potential zones in Devdari watershed area of Akola district, Maharashtra, Central India

Pande, Chaitanya B.; Moharir, Kanak N.; Singh, Sudhir Kumar; Varade, Abhay M.

doi:10.1007/s10668-019-00409-1

Cited by 99 publications

(25 citation statements)

References 38 publications

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“…The area was observed, and so many areas were affected due to the weathered rocks, groundwater issues, and climate change impact on the aquifer zones and rocks formation. The groundwater head was approximately the same in the wells that penetrated only to the weathered layer and in wells that penetrated the hard rock layer (Pande et al 2019;Gebere et al 2021). Therefore, the top and bottom of weathered and broken rocks may be treated as a single unconfined aquifer.…”

Section: Resultsmentioning

confidence: 99%

Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India

et al. 2021

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The ecological sustainable development and planning of groundwater resources is an excessive challenge for many countries currently facing water insufficiency. The main focus of this work was to determine the direction of groundwater flow, head value, and water level using the steady-state finite difference model (MODFLOW software) in basaltic formations in Maharashtra, India. The MODFLOW model was integrated with ground data using Geographic Information System (GIS) for sustainable groundwater resource management in the hard rock terrain. The MODFLOW-2005 model simulated the interaction between heads and time in 2014–18 by steady-state conditions. In this present study, four observation wells were selected. During the field survey, four observation wells have been monitored regularly as per the Central Groundwater Board guidelines. MODFLOW software has been conceptualized as a double-layered rigid and fractured aquifer area feast over 18,312 m × 11,265 m area. This research demonstrates that the integration of GIS, conventional fieldwork, and mathematical model can support to understand groundwater demand and supply in a better way.

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Section: Resultsmentioning

confidence: 99%

Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India

et al. 2021

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“…This study discusses a comparison between these two multi-criteria decision analyses (MCDA) techniques. There has been a lot of work done on groundwater potential in hard rock geological regions (Shekhar and Pandey, 2015;Parameswari and Padminni 2018;Pande et al 2019;Das and Pal 2019;Maity and Mandal 2019;Das and Mukhopadhyay 2020;Bhattacharya et al 2020;Maity and Mandal 2019;Das and Mukhopadhyay 2020;Bhattacharya et al 2020;. In comparison, less work has been done in the field of agriculture dependent on alluvial landscape (Saha et al 2010(Saha et al , 2021Patra et al 2018;Biswas et al 2020;Dey et al 2021;Barua et al 2021).…”

Section: Introductionmentioning

confidence: 99%

GIS-based comparative assessment of groundwater potential zone using MIF and AHP techniques in Cooch Behar district, West Bengal

Senapati

Das

2022

Appl Water Sci

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Global warming, change in climate and rapid growth of population have put a huge strain on the world's groundwater resources. The use of excess groundwater has created a drop in the water table. Increased use of groundwater for agriculture in agro-based areas increases the demand for groundwater. The current study has been conducted in Cooch Behar, an agro-based remote district of North Bengal in the Indian state of West Bengal, where the use of high groundwater in agriculture has reduced groundwater levels. Comparative assessment of Multi-Influencing Factor (MIF) and Analytical Hierarchy Process (AHP) techniques has been used to create a perspective mapping of groundwater potential zone for the research region. Land use and land cover (LULC), rainfall, soil texture, geomorphology, lithology, drainage density, Normalized Differential Vegetation Index (NDVI), and Topographic Wetness Index (TWI) have been used to create the map. The MIF and AHP techniques have been used for Groundwater Potential Zones (GPZ) mapping. Output GPZ has been classified into 5 classes, i.e., very poor, poor, moderate, good, and excellent. MIF technique shows that the groundwater potential classes are covering 9% (285 km2), 21% (67 km2), 30% (944 km2), 27% (837 km2) and 13% (410 km2) of the study area, respectively, whereas the output GPZ from AHP technique shows that the groundwater potential classes are covering 8% (271 km2), 15% (508 km2), 24% (813 km2), 33% (1118 km2) and 20% (677 km2), respectively. Finally, the maps have been verified using groundwater fluctuation data through Receivers Operating Characteristic curve (ROC). The MIF technique's Area Under Curve (AUC) score is 76.5%, while the AHP technique reveals 88.9% accuracy. Both techniques for assessing and monitoring GPZ have been accurate and reasonable. Thus, this type of research is reliable for a more appropriate framework for swiftly analyzing groundwater recharge and directing the location of artificial recharge structures and other groundwater management operations of agricultural-based areas.

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“…Some researchers like Oh et al (2011);Moghaddam et al (2015) have also used the Frequency Ratio (FR) technique for identifying groundwater potential zones. The Analytical Hierarchy Process (AHP) analysis by GIS technique was used by Pande et al (2019); Singh et al (2010); Shekhar and Pandey (2014); Rahmati et al (2014); Murmu et al (2019) and Adiat et al (2012) to delineate the groundwater potential zone.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision making and Dempster-Shafer model–based delineation of groundwater prospect zones from a semi-arid environment

Pandey

Singh

2022

Environ Sci Pollut Res

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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 southeast 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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An integrated approach to delineate the groundwater potential zones in Devdari watershed area of Akola district, Maharashtra, Central India

Cited by 99 publications

References 38 publications

Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India

Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India

GIS-based comparative assessment of groundwater potential zone using MIF and AHP techniques in Cooch Behar district, West Bengal

Multi-criteria decision making and Dempster-Shafer model–based delineation of groundwater prospect zones from a semi-arid environment

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