A multi-parametric spatial modeling of vulnerability due to arsenic pollution in Murshidabad district of West Bengal, India

Mondal, Debabrata; Pal, Swades

doi:10.1007/s12517-015-1809-4

Cited by 12 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, using the current RS data by employing the MCDM method at the block or district level, especially on Murshidabad district, considering the significant neighborhood criteria to inspect GWS dynamics covering pre-and post-monsoon seasons over a long episode of 20 years (2000-2020), was our unsullied and remarkable endeavor. It was noted that most of the previous water-related research had been completed on arsenic concentration in different blocks of the district [77][78][79], as well as quantification of groundwater resources of the Kandi subdivision of the district [76], spatio-temporal analysis of groundwater resources using GIS [76,80], the changing cropping pattern and irrigation intensity [78], the effect of population growth on the environment, including drinking water [81,82], cropping intensity, and productivity, agricultural development influenced by integrated water [83], quality of groundwater and impact on human helath [84], assessment of wetland ecosystem health of the district [85], and the delineation of the aquifer of the Raghunathganj-I block of Murshidabad district [86,87]. It was revealed from those works that the amount of groundwater has been declining, the quality of drinking water has lowered, and some areas were arsenic-affected.…”

Section: Discussionmentioning

confidence: 99%

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

Mondal

Das

Mishra

et al. 2022

Water

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Mondal

Das

Mishra

et al. 2022

Water

View full text Add to dashboard Cite

show abstract

“…Vulnerability to disaster is simply defined by Mavhura et al (2017) as the potential for loss. The determination of vulnerability depends collectively on population composition, economy, livelihood, supporting infrastructures, and resilience capacity of community to cope with hazardous events (Ghosh & Kar, 2018;Hazarika et al, 2016;Mondal & Pal, 2015). Vulnerability with respect to coping capacity can be viewed as the gaps and weaknesses of the adopted coping capacity of a community (Rana & Routray, 2018).…”

Section: Flood Hazard and Flood Hazard Assessmentmentioning

confidence: 99%