GIS-based vulnerability mapping of the coastal stretch from Puri to Konark in Odisha using analytical hierarchy process

被引:0
|
作者
Rashmisikha Behera
Abhipsa Kar
Manas Ranjan Das
Prachi Prava Panda
机构
[1] Siksha O’ Anusandhan University,ITER
来源
Natural Hazards | 2019年 / 96卷
关键词
AHP; GVI; PVI; SVI; ICVI; Microzonation; GIS;
D O I
暂无
中图分类号
学科分类号
摘要
The 485-km-long coastline of Odisha, a state in the northeastern part of the Indian peninsula, is potentially vulnerable to several disaster events that take place frequently. In addition to threats due to natural hazards, these coastal regions also face immense population and developmental pressures. The increase in the intensity and frequency of cyclones and accelerated sea level rise related to increased sea surface temperature have led to flooding, coastal erosion and shoreline retreat causing damage to coastal ecosystems and resources in these regions. In recognition of these risks, the present work demonstrates a GIS-based approach to assess the vulnerability of the 187-km stretch from Puri to Konark out of the total 485-km coastline using analytical hierarchy process (AHP). The present study focuses on computation of integrated coastal vulnerability index which is an integration of physical vulnerability index, geotechnical vulnerability index and social vulnerability index using AHP taking nine risk variables into consideration. An attempt has been made to demonstrate the state-of-the-art microzonation of the coastal stretch between Puri and Konark based on the vulnerability indices using geographical information system.
引用
收藏
页码:731 / 751
页数:20
相关论文
共 50 条
  • [1] GIS-based vulnerability mapping of the coastal stretch from Puri to Konark in Odisha using analytical hierarchy process
    Behera, Rashmisikha
    Kar, Abhipsa
    Das, Manas Ranjan
    Panda, Prachi Prava
    NATURAL HAZARDS, 2019, 96 (02) : 731 - 751
  • [2] GIS-based Landslide Susceptibility Mapping Using Analytical Hierarchy Process in Wenchuan
    Gou, Changjiang
    Liu, Rui
    Feng, Ce
    2013 21ST INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS), 2013,
  • [3] GIS-based landslide susceptibility mapping using analytical hierarchy process: a case study of Astore region, Pakistan
    Afzal, Nouman
    Ahmad, Adeel
    Shirazi, Safdar Ali
    Younes, Isma
    Le Thi Thu Ha
    EQA-INTERNATIONAL JOURNAL OF ENVIRONMENTAL QUALITY, 2022, 48 : 27 - 40
  • [4] GIS-BASED ANALYTICAL HIERARCHY PROCESS MODELING FOR FLOOD-PRONE AREA MAPPING IN VIETNAM
    Nguyen, Huu Duy
    Serban, Gheorghe
    GEOGRAPHIA TECHNICA, 2023, 18 (01): : 56 - 70
  • [5] Assessment of Three GPM IMERG Products for GIS-Based Tropical Flood Hazard Mapping Using Analytical Hierarchy Process
    Syakira, Nurul
    Tan, Mou Leong
    Zulkafli, Zed
    Zhang, Fei
    Tangang, Fredolin
    Chang, Chun Kiat
    Ibrahim, Wan Mohd Muhiyuddin Wan
    Ramli, Mohd Hilmi P.
    WATER, 2023, 15 (12)
  • [6] Mapping disaster vulnerability in India using analytical hierarchy process
    Chakraborty, Anusheema
    Joshi, P. K.
    GEOMATICS NATURAL HAZARDS & RISK, 2016, 7 (01) : 308 - 325
  • [7] A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping
    Wang, Qiqing
    Li, Wenping
    PHYSICAL GEOGRAPHY, 2017, 38 (04) : 318 - 337
  • [8] Landslide susceptibility mapping using the analytical hierarchy process and GIS
    Semlali, I
    Ouadif, L.
    Bahi, L.
    CURRENT SCIENCE, 2019, 116 (05): : 773 - 779
  • [9] GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations
    Yalcin, Ali
    CATENA, 2008, 72 (01) : 1 - 12
  • [10] Flood assessment for Lower Godavari basin by using the application of GIS-based analytical hierarchy process
    Kara, Reshma
    Singh, Prabhakar
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2024,