Published January 2016 | Version v1
Journal article

Environmental vulnerability assessment using Grey Analytic Hierarchy Process based model

  • 1. School of Water Resources, Indian Institute of Technology Kharagpur (India)
  • 2. Department of Civil Engineering, Indian Institute of Technology Kharagpur (India)
  • 3. Central Ground Water Board, Bhujal Bhawan, Faridabad, Haryana (India)

Description

Environmental management of an area describes a policy for its systematic and sustainable environmental protection. In the present study, regional environmental vulnerability assessment in Hirakud command area of Odisha, India is envisaged based on Grey Analytic Hierarchy Process method (Grey–AHP) using integrated remote sensing (RS) and geographic information system (GIS) techniques. Grey–AHP combines the advantages of classical analytic hierarchy process (AHP) and grey clustering method for accurate estimation of weight coefficients. It is a new method for environmental vulnerability assessment. Environmental vulnerability index (EVI) uses natural, environmental and human impact related factors, e.g., soil, geology, elevation, slope, rainfall, temperature, wind speed, normalized difference vegetation index, drainage density, crop intensity, agricultural DRASTIC value, population density and road density. EVI map has been classified into four environmental vulnerability zones (EVZs) namely: 'low', 'moderate' 'high', and 'extreme' encompassing 17.87%, 44.44%, 27.81% and 9.88% of the study area, respectively. EVI map indicates that the northern part of the study area is more vulnerable from an environmental point of view. EVI map shows close correlation with elevation. Effectiveness of the zone classification is evaluated by using grey clustering method. General effectiveness is in between "better" and "common classes". This analysis demonstrates the potential applicability of the methodology. - Highlights: • Environmental vulnerability zone identification based on Grey Analytic Hierarchy Process (AHP) • The effectiveness evaluation by means of a grey clustering method with support from AHP • Use of grey approach eliminates the excessive dependency on the experience of experts.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eiar.2015.10.002

Additional details

Identifiers

DOI
10.1016/j.eiar.2015.10.002;
PII
S0195-9255(15)00102-X;

Publishing Information

Journal Title
Environmental Impact Assessment Review
Journal Volume
56
Journal Page Range
p. 145-154
ISSN
0195-9255
CODEN
EIARDK

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48033709
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ENVIRONMENTAL IMPACTS; ENVIRONMENTAL POLICY; ENVIRONMENTAL PROTECTION; GEOGRAPHIC INFORMATION SYSTEMS; MAPS; REMOTE SENSING
Descriptors DEC
GOVERNMENT POLICIES; INFORMATION SYSTEMS

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.