Literature DB >> 19415511

Delineation of groundwater development potential zones in parts of marginal Ganga Alluvial Plain in South Bihar, Eastern India.

Dipankar Saha1, Y R Dhar, S S Vittala.   

Abstract

A part of the Gangetic Alluvial Plain covering 2,228 km(2), in the state of Bihar, is studied for demarcating groundwater development potential zones. The area is mainly agrarian and experiencing intensive groundwater draft to the tune of 0.12 million cubic metre per square kilometres per year from the Quaternary marginal alluvial deposits, unconformably overlain northerly sloping Precambrian bedrock. Multiparametric data on groundwater comprising water level, hydraulic gradient (pre- and post-monsoon), aquifer thickness, permeability, suitability of groundwater for drinking and irrigation and groundwater resources vs. draft are spatially analysed and integrated on a Geographical Information System platform to generate thematic layers. By integrating these layers, three zones have been delineated based on groundwater development potential. It is inferred that about 48% of the area covering northern part has high development potential, while medium and low development potential category covers 41% of the area. Further increase in groundwater extraction is not recommended for an area of 173 km(2), affected by over-exploitation. The replenishable groundwater resource available for further extraction has been estimated. The development potential enhances towards north with increase in thickness of sediments. Local deviations are due to variation of-(1) cumulative thickness of aquifers, (2) deeper water level resulting from localised heavy groundwater extraction and (3) aquifer permeability.

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Year:  2009        PMID: 19415511     DOI: 10.1007/s10661-009-0937-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

1.  GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.

Authors:  Seyed Amir Naghibi; Hamid Reza Pourghasemi; Barnali Dixon
Journal:  Environ Monit Assess       Date:  2015-12-19       Impact factor: 2.513

2.  Groundwater vulnerability assessment using DRASTIC and Pesticide DRASTIC models in intense agriculture area of the Gangetic plains, India.

Authors:  Dipankar Saha; Fakhre Alam
Journal:  Environ Monit Assess       Date:  2014-10-09       Impact factor: 2.513

3.  Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS.

Authors:  Ali Golkarian; Seyed Amir Naghibi; Bahareh Kalantar; Biswajeet Pradhan
Journal:  Environ Monit Assess       Date:  2018-02-17       Impact factor: 2.513

4.  Arsenic-safe alternate aquifers and their hydraulic characteristics in contaminated areas of Middle Ganga Plain, Eastern India.

Authors:  Dipankar Saha; S Sahu; P C Chandra
Journal:  Environ Monit Assess       Date:  2010-06-22       Impact factor: 2.513

Review 5.  A decade of investigations on groundwater arsenic contamination in Middle Ganga Plain, India.

Authors:  Dipankar Saha; Sudarsan Sahu
Journal:  Environ Geochem Health       Date:  2015-06-27       Impact factor: 4.609

6.  GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: a case study from Southern Western Ghats, India.

Authors:  P Arulbalaji; D Padmalal; K Sreelash
Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

7.  Hydrogeological typologies of the Indo-Gangetic basin alluvial aquifer, South Asia.

Authors:  H C Bonsor; A M MacDonald; K M Ahmed; W G Burgess; M Basharat; R C Calow; A Dixit; S S D Foster; K Gopal; D J Lapworth; M Moench; A Mukherjee; M S Rao; M Shamsudduha; L Smith; R G Taylor; J Tucker; F van Steenbergen; S K Yadav; A Zahid
Journal:  Hydrogeol J       Date:  2017-02-23       Impact factor: 3.178

  7 in total

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