Development of flood susceptibility map using a GIS-based AHP approach: a novel case study on Idukki district, India

被引：2

作者：

Khan, Zohaib Ahmed ^{[1
]}

Jhamnani, Bharat ^{[1
]}

机构：

[1] Delhi Technol Univ, Dept Civil Engn, New Delhi, Delhi, India

来源：

JOURNAL OF SPATIAL SCIENCE | 2024年 / 69卷 / 02期

关键词：

Floods; analytical hierarchy process; susceptibility; mapping; remote sensing; ANALYTICAL HIERARCHY PROCESS; LAND-USE; CLIMATE-CHANGE; SPATIAL PREDICTION; RISK-ASSESSMENT; HAZARD AREAS; WEST-BENGAL; RIVER; IMPACT; BASIN;

D O I：

10.1080/14498596.2023.2236051

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Flooding is a regular danger in the Idukki district of Kerala causing serious damage to life and property. An attempt has been undertaken in this research to identify crucial zones in the Idukki district that are more susceptible to flooding. The AHP technique was used to give relative weights to 12 flood contributing parameters. The resultant flood susceptibility map shows that 1346.4 km(2) of the total land in the Idukki district has a high to very high likelihood of flooding. Validation of the resultant map was achieved using the AUC-ROC approach, which showed good accuracy of 0.91.

引用

页码：409 / 442

页数：34

共 50 条

[1] GIS-based Landslide Susceptibility Evaluation Using Analytical Hierarchy Process (AHP) Approach: The Case of Tarmaber District, Ethiopia
Abay, Asmelash
Barbieri, Giulio
Woldearegay, Kifle
[J]. MOMONA ETHIOPIAN JOURNAL OF SCIENCE, 2019, 11 (01): : 14 - 36
[2] Flood Susceptibility Mapping Using GIS-Based Frequency Ratio and Shannon's Entropy Index Bivariate Statistical Models: A Case Study of Chandrapur District, India
Sharma, Asheesh
Poonia, Mandeep
Rai, Ankush
Biniwale, Rajesh B.
Tuegel, Franziska
Holzbecher, Ekkehard
Hinkelmann, Reinhard
[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 13 (08)
[3] Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Mitra, Rajib
Saha, Piu
Das, Jayanta
[J]. GEOMATICS NATURAL HAZARDS & RISK, 2022, 13 (01) : 2183 - 2226
[4] Flood hazard mapping using GIS-based AHP approach for Krishna River basin
Vashist, Komal
Singh, Krishna Kumar
[J]. HYDROLOGICAL PROCESSES, 2024, 38 (06)
[5] GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh
Kader, Zarjes
Islam, Md. Rabiul
Aziz, Md. Tareq
Hossain, Md. Monowar
Islam, Md. Rakibul
Miah, Manik
Jaafar, Wan Zurina Wan
[J]. SUSTAINABLE WATER RESOURCES MANAGEMENT, 2024, 10 (05)
[6] A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level
Gupta, Laxmi
Dixit, Jagabandhu
[J]. GEOCARTO INTERNATIONAL, 2022, 37 (26) : 11867 - 11899
[7] A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China
Chen, Yi
Ye, Zhicong
Liu, Hui
Chen, Ruishan
Liu, Zhenhuan
[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (21)
[8] Flood Susceptibility Mapping using GIS-based Support Vector Machine and Particle Swarm Optimization: A case study in Uttarakhand (India)
Sachdeva, Shruti
Bhatia, Tarunpreet
Verma, A. K.
[J]. 2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2017,
[9] Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Saravanan, Subbarayan
Abijith, Devanantham
Reddy, Nagireddy Masthan
Parthasarathy, K. S. S.
Janardhanam, Niraimathi
Sathiyamurthi, Subbarayan
Sivakumar, Vivek
[J]. URBAN CLIMATE, 2023, 49
[10] Identification of groundwater potential zones of Idukki district using remote sensing and GIS-based machine-learning approach
Khan, Zohaib Ahmed
Jhamnani, Bharat
[J]. WATER SUPPLY, 2023, 23 (06) : 2426 - 2446

← 1 2 3 4 5 →