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An Integrated GIS Based Statistical Model to Compute Groundwater Vulnerability Index for Decision Maker in Agricultural Area

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An Integrated GIS Based Statistical Model to Compute Groundwater Vulnerability Index for Decision Maker in Agricultural Area (English)

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Aminreza Neshat

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Helmi Zulhaidi Mohd Shafri

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Helmi Zulhaidi Mohd Shafri

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3

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Biswajeet Pradhan

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Biswajeet Pradhan

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2

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publication date

1 June 2014

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published in

Journal of the Indian Society of Remote Sensing

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volume

42

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issue

4

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page(s)

777-788

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cites work

Groundwater: the processes and global significance of aquifer degradation

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21 January 2018

A GIS-based DRASTIC vulnerability and net recharge reassessment in an aquifer of a semi-arid region (Metline-Ras Jebel-Raf Raf aquifer, Northern Tunisia).

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21 January 2018

Vulnerability and risk evaluation of agricultural nitrogen pollution for Hungary's main aquifer using DRASTIC and GLEAMS models.

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21 January 2018

A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia

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21 January 2018

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

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21 January 2018

Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool

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21 January 2018

Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques

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21 January 2018

Individual Comparisons by Ranking Methods

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21 January 2018

Groundwater prospects evaluation-based on hydrogeomorphological mapping: A case study in Kancheepuram district, Tamil Nadu

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DRASTIC-Fm: a modified vulnerability mapping method for structurally controlled aquifers in the southern Gulf Islands, British Columbia, Canada

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reference URL

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retrieved

21 January 2018

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10.1007/S12524-014-0376-6

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(Q57598235)

An Integrated GIS Based Statistical Model to Compute Groundwater Vulnerability Index for Decision Maker in Agricultural Area

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