Application of geospatial technology for delineating groundwater potential zones in the Gandheswari watershed, West Bengal

Ghosh, Debasis; Mandal, Mrinal; Karmakar, Manas; Banerjee, Monali; Mandal, Dayamoy

doi:10.1007/s40899-020-00372-0

Cited by 62 publications

(19 citation statements)

References 52 publications

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“…The groundwater potential map is not useful if it is not validated by groundwater level data (Ghosh et al 2020). Hence, an accuracy assessment was performed using the groundwater level (below the surface) data of 14 observation wells taken from the CGWB (Groundwater Year Book 2019) and 50 dug wells collected from various parts of the study area.…”

Section: Validation Of Resultsmentioning

confidence: 99%

“…The permeability of soil is highly dependent on the texture, structure, and continuity of the pore spaces in soil (Ghosh et al 2020). The grain size of the soil determines the infiltration rate.…”

Section: Soil Texturementioning

confidence: 99%

“…Multi-criteria decision-making using Analytic Hierarchy Process (AHP) is the most common and well-known method for delineating groundwater potential. Recently, many researchers have applied RS, GIS, and Analytic Hierarchy Process (AHP) to delineate groundwater potential based on multi-parameters (Arulbalaji et al 2019;Rajasekhar et al 2019;Singha et al 2019;Ghosh et al 2020;Halder et al 2020). Therefore, an attempt has been made to delineate the groundwater potential of Papumpare district of Arunachal Pradesh (India) by integrating RS, GIS, and AHP based on the influencing parameters.…”

Section: Introductionmentioning

confidence: 99%

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AHP and GIS-based Delineation of Groundwater Potential of Papum Pare District of Arunachal Pradesh, India

Mahato

Bushi

Nimasow

et al. 2022

Journal of the Geological Society of India

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Water is crucial to human survival. Studies on surface water are well documented but precise knowledge of groundwater resources is difficult. Thus, accurate knowledge of groundwater resources could meet the necessities of water at present and in the long run. The application of the Analytic Hierarchy Process (AHP) and Geographical Information System (GIS) together with multi-criteria parameters has emerged as an efficient technique for delineation of groundwater potential in recent decades. However, no efforts to delineate the groundwater potential have been attempted in the study area to date. Hence, in this study, the groundwater potential of Papumpare district of Arunachal Pradesh was delineated by combining AHP, GIS, and ten thematic layers (geomorphology, geology, slope, lineament density, drainage density, rainfall, distance from the major river, topographic wetness index, soil texture, and land use/land cover). The results show about 64% of the area under poor groundwater potential.Moderate and good groundwater potential is found in 31% and 5% of the area, respectively. Map-removal and single-parameter sensitivity analyses revealed that the groundwater potential map is most sensitive to the annual average rainfall with a mean variation index of 1.05% and a weight of 19.07%. The flood/alluvial plains, Siwalik formations with sediments, and level to gentle slopes receiving high rainfall show good potential, and the dissected hills/valleys, metamorphic rock assemblages, steep slopes with low rainfall reveals poor groundwater potential. The overall accuracy of 81.25% with a Kappa coefficient of 0.72 explains good agreement between the reference data and the map. The estimated area under good groundwater potential appears too little concerning the increasing population and urbanization. Therefore, the state government in general and the water resources and planning department in particular need to formulate suitable strategies to combat the water scarcity scenario waiting ahead.The study suggests raising the use of surface water from nearby rivers to lessen the pressure on groundwater resources.

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Section: Validation Of Resultsmentioning

confidence: 99%

Section: Soil Texturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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AHP and GIS-based Delineation of Groundwater Potential of Papum Pare District of Arunachal Pradesh, India

Mahato

Bushi

Nimasow

et al. 2022

Journal of the Geological Society of India

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“…Some such studies have detected potential groundwater zones [60][61][62][63][64][65][66], but minimal works have been conducted on the spatio-temporal dynamics and identification of vulnerable and stress zones considering multi-criteria [51,[67][68][69][70], particularly in the Murshidabad district of the lower Ganga plain. Hence, a research gap exists and there is pressing demand for studies investigating water mapping, the fluctuations of groundwater levels and their correlation with the utilization in the study area.…”

Section: Introductionmentioning

confidence: 99%

Assessing Groundwater Dynamics and Potentiality in the Lower Ganga Plain, India

Mondal

Das

Mishra

et al. 2022

Water

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The present study intended to assess groundwater storage dynamics (GWS) and identify potential zones using the Multi-Criteria Decision Making (MCDM) method and geospatial technology in the Murshidabad district of West Bengal, India. The study district is located in the Ganga–Padma–Bhagirathi rivers’ floodplain and covers approximately a 5324 km2 area, comprising 26 blocks in five sub-divisions. The study portrayed a quantitative investigation of the pre-monsoon and post-monsoon season’s variability of GWS from 2000 to 2020, taking Landsat TM/Landsat 8 OLI/SRTM satellite data. The geo-spatio-temporal analysis of groundwater storage variability for 20 years was carried out by such remotely sensed data with the geospatial method to portray the dynamics and uncover the potential zones of GWS using various cartographic and statistical techniques. We determined nine parameters for the study, and the analytical hierarchy process (AHP) method was employed for the computation. The present estimation and assessment include the MCDM method, covering assorted parameters and the variations and aspects of GWS in the pre- and post-monsoon seasons from 2000 to 2020. The outcome illustrates that a decline in water storage has taken place in most of the blocks of Murshidabad district on average during the study period, which indicates a water stress provison in the near future. However, the micro (block)-level scenario of the spatiotemporal dynamics of GWS and the potential zonation in the Murshidabad District were investigated to form a location-specific micro-level arrangement for the sustainable management of water.

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“…Geomorphometry is a quantitative land surface analysis science that could be applied to compute land surface characteristics (for example slope, aspect, topographic wetness index, and so on) and objects (such as a watershed line, cirque, alluvial fan, drainage network, and so on) (Beheshti Javid et al, 2018; Hengl & Evans, 2009). Analysing basin morphometry and delineating watershed are important in river basin studies because it provides essential information about the drainage networks (Abdeta et al, 2020), topographic factors (Nikolova et al, 2021), geology (Ghosh et al, 2020), and climatic (Gebremeskel & Kebede, 2018) features of the basin. As a consequence, numerous researchers across the world have been determining the morphometric properties of basins in respect of better understand the physical aspects of their research regions and obtain thorough information concerning them.…”

Section: Introductionmentioning

confidence: 99%

Comparisons of Watershed Delineation of River Network Representation and Morphometric Analysis in Karnaphuli River Basin, Chittagong, Bangladesh: A study with Different Digital Elevation Model (DEM)

Roy

Chowdhury

Talukdar

et al. 2022

Preprint

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The present study aimed to delineate robust watershed boundary and extract its morphometric parameters in Karnaphuli watershed, Bangladesh using different types of digital elevation models (DEMs). Two DEMs, such as Shuttle Radar Topographic Mission (SRTM) and the Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), were utilized to delineate watershed boundary and evaluate several morphometric characteristics. From the findings, it is revealed that there is a visual difference between the data sets as ASTER has a larger watershed area than SRTM. Also, regarding stream order, there are actually 1 to 6 orders of stream, so there are so many small, medium and main channels of the river, where the drainage density for SRTM (spatial resolution: 30m) and ASTER (spatial resolution: 30m) is 0.52 km/km2 and 0.51 km/km2. The bifurcation ratio ranges from 1.94 and 2.45 for SRTM and ASTER, respectively, representing the influence of geological structure as well as suffering more structural disturbances. The form factor denotes the study area's elongated shape. The entire dimension of the stream and the extent of the watershed imply that the mean annual rainfall discharge is moderate. The watershed has rather high denudation rates, according to the basin relief. The watershed's drainage density is low, demonstrating that infiltration is more important. This study may help policymakers to take decisions on the Karnaphuli River on conservation of the river stream and flow path, which will ultimately enrich the river ecology and other vegetation cover in Chittagong, Bangladesh.

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Application of geospatial technology for delineating groundwater potential zones in the Gandheswari watershed, West Bengal

Cited by 62 publications

References 52 publications

AHP and GIS-based Delineation of Groundwater Potential of Papum Pare District of Arunachal Pradesh, India

AHP and GIS-based Delineation of Groundwater Potential of Papum Pare District of Arunachal Pradesh, India

Assessing Groundwater Dynamics and Potentiality in the Lower Ganga Plain, India

Comparisons of Watershed Delineation of River Network Representation and Morphometric Analysis in Karnaphuli River Basin, Chittagong, Bangladesh: A study with Different Digital Elevation Model (DEM)

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