Delineation of groundwater potential zone for sustainable water resources management using remote sensing-GIS and analytic hierarchy approach in the state of Jharkhand, India

Ashwini, K.; Vera, Rajnish Kumar; Sriharsha, Sridharam; Chourasiya, Shikha; Singh, Ajai K.

doi:10.1016/j.gsd.2023.100908

Cited by 23 publications

(8 citation statements)

References 66 publications

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“…Geospatial techniques were employed to generate thematic layers, including LULC, geology, soil types, slope, rainfall, TWI, drainage density, and lineaments. These thematic layers are very important, as they provide insight into groundwater occurrence, recharge, and movement [29]. The geology and hydrogeological conditions of the region influence the spatial distribution and occurrence of groundwater.…”

Section: Generation Of Thematic Layer Mapsmentioning

confidence: 99%

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Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Opoku,

Shu,

Amoako-Nimako

2024

Water

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Groundwater management in the Jinan Spring basin is hampered by its complex topography, overexploitation, and excessive urbanisation. This has led to springs drying up during dry seasons and a decrease in discharge in recent years. GIS and the AHP were employed to delineate groundwater potential zones using eight thematic layers: slope, geology, lineament density, topographic wetness index (TWI), rainfall, soil, drainage density, and land use/land cover (LULC). The model’s accuracy was assessed by comparing the findings to basin groundwater observation well data. We found that 74% of the observations matched the projected zoning. Further validation utilising the receiver operating characteristic (ROC) curve gave an AUC of 0.736. According to the study, 67.31% of the land has a good GWPZ, 5.60% has a very good one, 27.07% is medium, and 0.03% is low. Heavy rains throughout the rainy season raise water levels. Dry weather lowers water levels. This study’s conclusions will protect groundwater from climate change. Integrating hydrogeological data, GIS, remote sensing, and AHP approaches maximises data use, improves groundwater potential zone delineation, and promotes sustainable groundwater resource management decision making. This integrated method can help land use planners, hydrologists, and policymakers find optimal locations for water supply projects, establish groundwater management techniques, and reduce groundwater risks.

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Section: Generation Of Thematic Layer Mapsmentioning

confidence: 99%

“…One notable benefit of these methods is their integration with GIS-based techniques, which yield more accurate results, require less processing time, and are cost-effective compared to traditional GWPZ field methods [29]. Therefore, the AHP technique was used in this study.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Opoku,

Shu,

Amoako-Nimako

2024

Water

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“…Despite being supplied with water by notable rivers such as the Damodar, Subarnarekha, Barakar, and Brahmani, the state is currently grappling with the depletion of a substantial proportion of its water sources [10]. A study has classi ed 62.71% of the soil in Jharkhand as excessively well-drained [11]. This phenomenon negatively impacts groundwater replenishment and contributes to the prevalence of AWS in the area.…”

Section: Introductionmentioning

confidence: 99%

Spatial Data Modelling of Atmospheric Water Availability and Stress in Jharkhand, India

Roy,

Gupta,

Singh

et al. 2024

Preprint

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The levels of Atmospheric Water Stress (AWS) and Atmospheric Water Availability (AWA) in Jharkhand, India was investigated in this study. The analysis makes use of MODIS NDVI and Terra Climate data that have undergone Google Earth Engine (GEE) processing. Following the computation of mean annual values for Normalized Difference Water Index (NDWI), run-off, precipitation, and Evapotranspiration (ET), AWS and AWA are classified based on these indices. Significant geographical variations in ET, precipitation, runoff, AWS, and AWA are revealed by the results across a few Jharkhand regions. Purbi Singhbhum exhibits significantly higher rates of ET than Garhwa, Palamu, and Chatra, which experience comparatively lower rates. Geographic areas with high levels of AWS, including Sahibganj, Godda, Pakur, Garhwa, and Kodarma, serve as indicators of more severe water scarcity. Consequently, these regions necessitate the implementation of targeted water management strategies. Conversely, varying degrees of AWS are observed in districts including Giridih, Chatra, Jamtara, Latehar, Simdega, and Hazaribagh, underscoring the need for individualized interventions. By identifying regions with limited water availability, the AWA index facilitates the formulation of well-informed resource management decisions. AWS is exacerbated by climate variability, which impacts the distribution of temperatures and precipitation, particularly in regions where AWS levels are high. Local infrastructure development and the implementation of water management strategies are crucial for mitigating the effects of water scarcity.

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“…Notably, around 30% of the available freshwater is stored within aquifers as groundwater (Noori and Singh, 2021;Singh, 2021). Literature highlights the immense strain on freshwater resources worldwide, particularly in developing nations (Berhanu et al,2014;Moharir et al, 2023;Ashwini et al, 2023). For example, in India, groundwater caters to 80-90% of domestic water needs in rural areas and sustains 50% of urban and industrial demands (Kumar et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…Firstly, the topographical features, such as elevation and slope, signi cantly impact groundwater occurrence (Thapa et al,2017). Groundwater tends to accumulate in low-lying areas or valleys due to gravitational forces (Ashwini et al, 2023). Secondly, the geological composition and structure of the subsurface play a crucial role.…”

Section: Introductionmentioning

confidence: 99%

Geospatial delineation of groundwater potential zones in the lower Okavango Delta, Botswana

Gondo

2024

Preprint

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Integration of remote sensing and geographical information systems (GIS) is crucial in groundwater resource management, particularly in regions like the Okavango Delta in Northern Botswana, characterized by erratic rainfall ranging annually and spatially from 300 to 600 millimetres. This variability, coupled with occasional droughts, poses significant risks to water resources, agriculture, and livelihoods. To tackle these challenges, this study employed remote sensing and GIS techniques to delineate groundwater potential zones (GWPZs) in the lower Okavango Delta. The Analytical Hierarchy Process (AHP) was utilized to analyse eight thematic factors—geology, rainfall, slope, lineament density, soil, drainage density and land use, and land cover—and integrate them into the groundwater potential zone map. The study identified five distinct GWPZs: very poor (2.8%), poor (44.5%), moderate (45.0%), good (7.6%), and very good (0.1%), indicating varying degrees of groundwater availability and suitability for sustainable use. Integrating this potential zone map into broader water resource management plans is recommended to promote sustainable groundwater management practices. Additionally, enhancing climate resilience through cross-sectoral collaboration and stakeholder engagement is crucial. These efforts are necessary for developing integrated strategies to address water resource planning and adapt to climate change impacts, fostering sustainable development and resilience in water-stressed regions.

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Delineation of groundwater potential zone for sustainable water resources management using remote sensing-GIS and analytic hierarchy approach in the state of Jharkhand, India

Cited by 23 publications

References 66 publications

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Spatial Data Modelling of Atmospheric Water Availability and Stress in Jharkhand, India

Geospatial delineation of groundwater potential zones in the lower Okavango Delta, Botswana

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