Environment & We

An International Journal of Science & Technology

 

ISSN: 0975-7112 (Print)

 

ISSN: 0975-7120 (Online)

 

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Sharma et al., 2022 / Environ. We Int. J. Sci. Tech. 17, 55-67

 

 

 

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© Society for Environment and Development, (India)

 

 

 

Environmental Vulnerability Assessment for South-West Region of Delhi using GIS based AHP tool

 

Nipra Sharma1, Parmita Bose2, Priyanka Kumari3, Amarjeet Kaur4*

1University School of Environment Management, 2GeoSpatial Delhi Limited, 3,4Centre of Excellence in Disaster Management

Guru Gobind Singh Indraprastha University, Sector -16 C, Dwarka, New Delhi – 110078, India

E-mail: 1niprasharma90@gmail.com, 2parmita.bose@gmail.com,3 doctorpriyankakumari@gmail.com, 4*director.cdms@ipu.ac.in.

 

Keywords

 

Satty’s Scale;

AHP model;

Vulnerability;

Urbanization;

Migration

 

 

 

Abstract

 

Delhi is developing rapidly and rushed unplanned decisions are giving rise to mixed land use land cover area. It is in turn increasing the infrastructural complexity and therefore making the country more vulnerable. Growing urbanization is becoming a global trend; the concern regarding environmental vulnerability is a major apprehension. Vulnerability is accessed with respect to social, infrastructural and environmental problems using Analytical Hierarchy Process (AHP) model. The class wise weights and category wise weights were assigned based on the Satty’s Scale to all the 21 indicators discussed above. The pairwise matrix and CR value is calculated. The resultant vulnerability map developed using AHP tool was divided into five categories of vulnerability as: low, medium low, medium, medium high and high. The peri-urban area is more vulnerable than urban areas. In urban areas those regions where the development has taken place erratically is identified as vulnerable due to high population density. Also one more observation is made in this model, the social factors like illiteracy and unemployment are also observed to be impacting along with environmental aspect parameters. It was observed that only 10% of the total area falls under the high vulnerability class whereas 25% falls under medium high category.

 

 

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