Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district, West Bengal

Thapa, Raju; Gupta, Srimanta; Guin, Shirshendu; Kaur, Harjeet

doi:10.1007/s13201-017-0571-z

Cited by 254 publications

(83 citation statements)

References 45 publications

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“…A common approach for deriving weights for different factors is to draw a schematic sketch of the interrelationships of the different factors. The stronger the influence of one factor on other factors the larger its relative importance which leads to a larger weight (Magesh, Chandrasekar, & Soundranayagam, 2012;Prasad, Mondal, Banerjee, Nandakumar, & Singh, 2008;Shaban, Khawlie, & Abdallah, 2006;Thapa et al, 2017;Yeh et al, 2009;Yeh et al, 2016). AHP method is very helpful for multi-parameter assessment (Saaty, 1980).…”

Section: Derivation Of Normalized Weights Of Thematic Layers By Ahp Mmentioning

confidence: 99%

“…Mishra et al (2010) and Jyoti Sarup (2011) have used the remote sensing and GIS for potential groundwater recharge zones as well as identification of suitable site structures for artificial recharge. Most of the methods used in these research works are based on bivariate and multivariate statistical techniques with pre-investigation assumptions and limitations (Thapa, Gupta, Guin, & Kaur, 2017). But studies on remote sensing and GIS coupled with the AHP approach in identifying potential groundwater recharge zones are carried out by few.…”

Section: Introductionmentioning

confidence: 99%

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Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Dar

Rai

Bhat

2020

Geology, Ecology, and Landscapes

174

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In the present study, an effort was made in Kashmir Valley, NW-Himalayas to delineate potential groundwater areas using GIS and Analytical Hierarchy method (AHP) by incorporating remote sensing data with data from other sources. These data sets were used to prepare eight thematic layers of slope, soil texture, drainage density, land/land cover (LULC), lithology, geomorphology, lineament density, and rainfall. The analytical method of AHP pair wise matrix was used to evaluate the normalized weight of these thematic layers. All the thematic layers and their corresponding classes were allocated ranks and weights based on their impact on groundwater potential. The study area has been classified into five different potential groundwater recharge zonesexcellent (28.97%), good (19.99%), moderate (21.70%), poor (27.16%) and very poor (2.15%). The groundwater potential map prepared for the study area has been validated with 245 existing bore-wells and flow direction of basin. The validation of results was in agreement with the evidence obtained as Area Under Curve (AUC) was calculated to be 79.69% and flow computational investigations which suggest groundwater flows north-eastward from south of basin up to central Kashmir, and south-westward from North towards Jhelum River. The validation suggests that the applied method proves to give us a very significant and reliable result for the study area.

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Section: Derivation Of Normalized Weights Of Thematic Layers By Ahp Mmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Dar

Rai

Bhat

2020

Geology, Ecology, and Landscapes

174

View full text Add to dashboard Cite

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“…The final landslide susceptibility zonation map is also validated using SRC and PRC, which is a widely used technique for validations of the model (Kaur, Gupta, & Parkash, 2017b;Thapa et al, 2017aThapa et al, , 2017bThapa et al, , 2017cThapa et al, , 2017dThapa, Gupta, Kaur, & Mandal, 2018). The success rate of the goodness of fit of the model applied can be distinctly visualized using this validation method (Klose, Gruber, Damm, & Gerold, 2014).…”

Section: Success Rate Curve (Src) and Prediction Rate Curve (Prc)mentioning

confidence: 99%

Knowledge-driven method: a tool for landslide susceptibility zonation (LSZ)

Kaur

Gupta

Parkash

et al. 2018

Geology, Ecology, and Landscapes

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The Sikkim state, including Gangtok, is dominated by Precambrian rocks which contain foliated schists and phyllites; slopes are therefore susceptible to frequent landslides. The recent development of roads and building structures make this region more vulnerable to landslide hazard. In this research work, landslide susceptibility zonation mapping within Gangtok Municipal Corporation (GMC) area have been carried out implementing remote sensing and GIS technique. To derive the landslide susceptibility map (LSM) of GMC, weighted overlay method (WOM) was implemented by assigning weights to various triggering factors via expert opinion. The twelve triggering factors used in the study were geology/lithology, slope morphometry, lineament density, water regime, rainfall, elevation, soil type, soil liquefaction, soil thickness, building density, relative relief, and land use/land covers (LULC). The final LSM of GMC shows that about 19.14% of the study area falls under very high landslide hazard zone and 31.78% area falls under the high category. Medium and low landslide hazard zone encompasses about 30.95% and 18.11 % of the total area, respectively. The modelgenerated LSM is validated with past reported landslide event where an overall accuracy of above 80% is observed.

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“…The HPI (heavy metal pollution index) is suitable for a comparison of the places exposed to heavy metal activity [10]. The obtained physicochemical indices may be proposed for the selection of the factors useful in hydrochemical evaluation [37], or the modelling of relations between catchment features and water quality [38]. The dependence of the concentration of the selected indices of water quality in small water reservoirs may be confirmed by the use of the catchment.…”

Section: Land Use Prognostic-regressive Method and Systematic Studimentioning

confidence: 99%

Multiannual Assessment of the Risk of Surface Water Erosion and Metal Accumulation Indices in the Flysch Stream Using the MARS Model in the Polish Outer Western Carpathians

2019

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The anthropogenic problems in richly sculpted areas (mountain and submontane) are mainly related to agricultural activity, which shapes the quality of surface waters. This paper presents an analysis of the results of the hydrochemical tests carried out in the years 2007–2018 at check-control spots. The heavy metal pollution index (HPI < 100) indicated a low risk for aquatic organisms. The statistical calculations obtained by means of multivariate adaptive regression splines (MARS) designated that the hazard quotient (HQ) index can be combined with the electrical conductivity (EC) and total dissolved substances (TDS) parameters used in the assessment of water erosion. The HQ index showed that the concentration of individual heavy metals is lower than their value in the 0.5 percentile of the value. In subsequent studies, it should be assessed whether the size of arable land has an impact on the increased concentration of heavy metals in the surface water. We recommend small retention reservoirs as a potential management measure to improve the quality of the surface water at a regional scale. This study has great potential to mitigate the degradation processes related to the insufficient storage capacity, and to promote natural water retention.

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Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district, West Bengal

Cited by 254 publications

References 45 publications

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Knowledge-driven method: a tool for landslide susceptibility zonation (LSZ)

Multiannual Assessment of the Risk of Surface Water Erosion and Metal Accumulation Indices in the Flysch Stream Using the MARS Model in the Polish Outer Western Carpathians

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