Flood Zoning Using Hierarchical Analysis and Fuzzy Logic in GIS Case Study: Ilam City

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Ziari Kramatolah; RAJAEI SEYED ABAS; Darabkhani Rasoul

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: EMERGENCY MANAGEMENT Year:2021 | Volume:10 | Issue:19 Page(s): 21-30

Download Full-Text

Persian Verion

View:

149

Download:

Cites:

Information Journal Paper

Title

Flood Zoning Using Hierarchical Analysis and Fuzzy Logic in GIS Case Study: Ilam City

Author(s)

Ziari Kramatolah | RAJAEI SEYED ABAS | Darabkhani Rasoul | Issue Writer Certificate

Keywords

Zoning

Flood

Fuzzy model

GIS

Ilam City

Abstract

Various factors such as overcrowding, land leveling and occupation of rivers along with climatic factors in urban areas have caused urban Flooding. The city of Ilam is no exception,This has caused a lot of damage to residential areas, roads, fields and farmlands over the past few years. The purpose of this study is to evaluate and Zoning Flood-prone areas in Ilam. For this purpose, criteria such as slope, geological features, topography, streamflows, soil and land use were selected, weighted and standardized by hierarchical analysis and Fuzzy model. Then, Zoning map with overlapping the weighted maps for each criterion was prepared in the GIS. Final analysis of the map shows that the north and northwest areas have the highest potential for Flood risk. The results also showed that 0. 60% of the total area are in very high vulnerability category and 6. 29% in high vulnerability class, 20. 92% in the average vulnerability class, 50. 23% in low vulnerability class and 21. 95% in the very least vulnerable category.

Cites

No record.

References

No record.

Cite

APA: Copy

Ziari, Kramatolah, RAJAEI, SEYED ABAS, & Darabkhani, Rasoul. (2021). Flood Zoning Using Hierarchical Analysis and Fuzzy Logic in GIS Case Study: Ilam City. EMERGENCY MANAGEMENT, 10(19 ), 21-30. SID. https://sid.ir/paper/1017732/en

Vancouver: Copy

Ziari Kramatolah, RAJAEI SEYED ABAS, Darabkhani Rasoul. Flood Zoning Using Hierarchical Analysis and Fuzzy Logic in GIS Case Study: Ilam City. EMERGENCY MANAGEMENT[Internet]. 2021;10(19 ):21-30. Available from: https://sid.ir/paper/1017732/en

IEEE: Copy

Kramatolah Ziari, SEYED ABAS RAJAEI, and Rasoul Darabkhani, “Flood Zoning Using Hierarchical Analysis and Fuzzy Logic in GIS Case Study: Ilam City,” EMERGENCY MANAGEMENT, vol. 10, no. 19 , pp. 21–30, 2021, [Online]. Available: https://sid.ir/paper/1017732/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops