NDLI: Application of Spatial Analysis Techniques to Select the Most Suitable Areas for Flood Spreading

Content Provider	Springer Nature Link
Author	Moradi Dashtpagerdi, Mostafa hegar, Ahmad Vagharfard, Hassan Honarbakhsh, Afshin Mahmoodinejad, Vafa roozi, Akbar Ghonchehpoor, Diba
Copyright Year	2013
Abstract	This study addressed potential areas for flood spreading by evaluating the Boolean Logic, Overlay Index and Fuzzy Clustering techniques for spatial analysis. We applied these techniques on the artificial recharge criteria of slope, infiltration rate, alluvium thickness, land use and alluvial quality. The above criteria were prepared, classified, weighted and integrated in a GIS environment. The resultant maps were organized into two classes of potentiality, suitable and unsuitable, which expressed two different levels of favorability for site selection of flood spreading in the study area. We used 32 controlling areas to compare the performance of these spatial analysis techniques. By validation of the produced maps, the most suitable areas of flood spreading for each technique were determined: Fuzzy Clustering (14.4 %) Overlay Index (10.84 %) and Boolean Logic (10 %). After land use filtering, 72 %, 70 % and 65 % of the most suitable areas were eliminated in the, Overlay Index, Boolean model and Fuzzy Clustering, respectively. According to our results, the spatial analysis techniques can be powerful tools for selecting the most suitable areas for flood spreading.
Starting Page	3071
Ending Page	3084
Page Count	14
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	27
Issue Number	8
e-ISSN	15731650
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-04-11
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Spatial Analysis Fuzzy Clustering Boolean Logic Overlay Index Hydrogeology Geotechnical Engineering & Applied Earth Sciences Atmospheric Sciences Civil Engineering Environment
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping

A Rapid Model for Delimiting Flooded Areas

Flood Vulnerability Analysis by Fuzzy Spatial Multi Criteria Decision Making

Regional Flood Frequency Analysis using Soft Computing Techniques

Spatial fuzzy clustering approach to characterize flood risk in urban storm water drainage systems

Identification of Homogeneous Rainfall Regimes in Northeast Region of India using Fuzzy Cluster Analysis

Nonstationary Flood Frequency Analysis for Annual Flood Peak Series, Adopting Climate Indices and Check Dam Index as Covariates

Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths

GIS-Based Spatial Monte Carlo Analysis for Integrated Flood Management with Two Dimensional Flood Simulation

Application of Spatial Analysis Techniques to Select the Most Suitable Areas for Flood Spreading

Similar Documents

Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping

A Rapid Model for Delimiting Flooded Areas

Flood Vulnerability Analysis by Fuzzy Spatial Multi Criteria Decision Making

Regional Flood Frequency Analysis using Soft Computing Techniques

Spatial fuzzy clustering approach to characterize flood risk in urban storm water drainage systems

Identification of Homogeneous Rainfall Regimes in Northeast Region of India using Fuzzy Cluster Analysis

Nonstationary Flood Frequency Analysis for Annual Flood Peak Series, Adopting Climate Indices and Check Dam Index as Covariates

Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths

GIS-Based Spatial Monte Carlo Analysis for Integrated Flood Management with Two Dimensional Flood Simulation

Application of Spatial Analysis Techniques to Select the Most Suitable Areas for Flood Spreading