International Journal of Scientific & Engineering Research, Volume 5, Issue 7, July-2014 ISSN 2229-5518 228 &RDVWDO9XOQHUDELOLW\$VVHVVPHQWDORQJ.HUDOD &RDVWXVLQJ5HPRWH6HQVLQJDQG*,6 Greeshma Mohan S3*-DLUDM Department of Civil Engineering College of Engineering Trivandrum
[email protected] $EVWUDFW²&RDVWDOYXOQHUDELOLW\DVVHVVPHQWLVGRQHPRVWO\RQ most vulnerability assessments is that they focus only on the WKHEDVLVRIYXOQHUDELOLW\LQGLFHVZKLFKKDVEHHQGHYHORSHGDV physical characteristics of vulnerability. In majority of these DUDSLGDQGFRQVLVWHQWPHWKRGIRUFKDUDFWHUL]LQJ WKHUHODWLYH studies the CVI is expressed as the square root of the product YXOQHUDELOLW\ RI GLIIHUHQW FRDVWV 7KH PDLQ REMHFWLYH RI WKLV of the ranking factors divided by the number of parameters VWXG\ LV WR SUHVHQW DQ $QDO\WLF +LHUDUFK\ 3URFHVV $+3 EDVHG considered. Analytic Hierarchy Process (AHP) based CVI &RDVWDO 9XOQHUDELOLW\ ,QGH[ &9, WDNLQJ ERWK 3K\VLFDO assessment considering both Physical Vulnerability Index 9XOQHUDELOLW\ ,QGH[ 39, DQG 6RFLDO 9XOQHUDELOLW\ ,QGH[ 69, LQWR FRQVLGHUDWLRQ 7KH VWXG\ DOVR LQYHVWLJDWHV WKH VKRUHOLQH (PVI) and Social Vulnerability Index (SVI) had also been FKDQJHV XVLQJ PXOWL WHPSRUDO VDWHOOLWH LPDJHV *HRJUDSKLFDO developed [7] [8]. ,QIRUPDWLRQ6\VWHP *,6 DQGUHPRWHVHQVLQJEDVHGVWXG\KHOSHG The present study involves in the computation of CVI LQ WKH SUHSDUDWLRQ RI FRDVWDO YXOQHUDELOLW\ PDS DQG WKHUHE\ WR using AHP taking into account PVI and SVI .The study also DVVHVVWKHLPSDFWDORQJWKH.HUDODFRDVW demonstrates the use of multi resolution and multi temporal satellite images of Landsat and LISS III to demarcate .H\ZRUGV²FRDVWDOYXOQHUDELOLW\LQGH[SK\VLFDOYXOQHUDELOLW\ shoreline positions for the years 1973, 1990, 2000 and 2008. LQGH[VRFLDOYXOQHUDELOLW\LQGH[$QDO\WLF+LHUDUFK\3URFHVV The methodology was applied to coastal districts of Kerala state to prepare the vulnerability map and classify the I. INTRODUCTION vulnerable regions.