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Vulnerability mapping of the metropolitan area of regiom 2 Tehran using the hybrid model FUZZY_AHP

Publish Year: 1396
Type: Journal paper
Language: English
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JR_JORAR-9-3_001

Index date: 10 February 2021

Vulnerability mapping of the metropolitan area of regiom 2 Tehran using the hybrid model FUZZY_AHP abstract

Background: Natural factors have always imposed damages and risks on natural environments throughout history in different parts of the world. The occurrence of natural disasters such as earthquakes, floods, storms, and landslides has caused many casualties and financial losses. The region two of Tehran metropolis is a challenge for planners due to urban hazards and one of the areas with high potential for natural hazards in terms of the change user, increase in population, urbanization, passage of main and minor faults, and the presence of north rivers of Tehran. Method: In this study, data studied and analyzed by modeling of environmental criteria and layers using Analytical Hierarchy Process (AHP) and fuzzy classification also the results were analyzed using Expert Choice software. Finally, the environmental vulnerability of the area was zoned by using GIS spatial analysis. Findings: The findings represented that the vulnerability of region two was determined based on the combination of FUZZY-AHP models. The regions of two, six, and eight were the most vulnerable parts while regions three, seven and nine of Tehran were the least vulnerable to environmental hazards. Conclusion: The results showed that of Tehran region two with an area of 2558.28 hectare 49.33% is at low risk, 39.93% in moderate risk, and 10.74% is at high risk. In fact, in this region, factors such as unconventional urban construction regardless of drainage network increase runoff and levels of impenetrable or low permeability in precipitation. In addition, other factors such as passing faults such as north of Tehran, Niavaran, Davoodiyeh and etc., as well as high population density, the high slope of the area and the erosion raise the risk of landslides due to the unsteady texture in the largest area of the region. However, the middle parts of the region are more desirable based on the open urban spaces and the lack of specific use.  

Vulnerability mapping of the metropolitan area of regiom 2 Tehran using the hybrid model FUZZY_AHP Keywords:

Vulnerability mapping of the metropolitan area of regiom 2 Tehran using the hybrid model FUZZY_AHP authors

Mohammad Mahdi Hussein Zadeh

University Shahid Beheshti

Rana Norouzi Tiula

University Shahid Beheshti

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3. Roustaee, Sh. Tabriz fault risk zoning for different land uses, ...
4. Detailed map of Tehran 2nd District, Saravand Consultant Engineers, p.1[In ...
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6. Karimi Moghaddam. The role of geographical foundations in the physical ...
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14. Alcantara-Ayala I. Geomorphology, natural hazard, vulnerability and prevention of natural ...
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29. Thomalla F., Downing T., Spanger- Siegfried E., Han G., Rockström ...
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1. Pourmousavi M, Shamie A, Ahadnejad A; Eshgh A, Khosravi; S. ...
2. Jafari M., Seismic micro zoning in north of Tehran in ...
3. Roustaee, Sh. Tabriz fault risk zoning for different land uses, ...
4. Detailed map of Tehran 2nd District, Saravand Consultant Engineers, p.1[In ...
5. Ghoruodi Tali, M., Pourmousavi M., Khosravi, S. Investigation of seismic ...
6. Karimi Moghaddam. The role of geographical foundations in the physical ...
7. Karimi, M., Najafi, A. Landslide hazard assessment using Fuzzy AHP ...
8. Meshkini, A., Rahmati, S., and Shabanzadeh Naminini R. Analysis of ...
9. Nasrin Nejad, N; Rangzan; K; Kalantari; N; Saberi; AS. The ...
10. Nowrouzi, R. Vulnerability, and Flood Risk Analysis in Tehran water ...
11. Ahmadi, H., Role of Urbanization in Reduce of City Vulnerability, ...
12. Ahmadi, H., Mohammdkhan, Sh., Feiznia, C., Ghoddousi, J, Regional Modeling ...
13. Aksoy, B., Ercanoglu, M. Landslide identification and classification by object-based ...
14. Alcantara-Ayala I. Geomorphology, natural hazard, vulnerability and prevention of natural ...
15. Al-Mohseen, K.A.A., Drought Index Assessment for Fatha Region Using Fuzzy ...
16. Bhata, B., Sarawati, S., & Bandyopadhyay, D. Quantifying the degree-of-freedom, ...
17. Birkmann J., Wisner B. Measuring un-immeasurable: The challenge of Vulnerability; ...
18. Charvériat, C. Natural disasters in Latin America and the Caribbean: ...
19. Eftekhari, A.r., Ghadiri, M., Parhizkar, A., Shayan, S. Analysis of ...
20. Ghodsi Pour, S. H., 2002. Analytical Hierarchy Process (AHP), Amirkabir ...
21. Qin Q-m, Tang H-m, Chen Hk.. Zoning of highway flood-triggering ...
22. Lantada, N., Pujades, L., and Barbat, A. Vulnerability index and ...
23. Meyer, V, Scheuer, S, and Haase D, A. Multicriteria approach ...
24. Norouzi,R ., Ghohroudi Tully,M., Derafshi.K. Urban sewage vulnerability against floods ...
25. Peteri, M., and Tapio, F. Fuzzy classifier for star-galaxy separation, ...
26. Saaty, T.A. Scaling method for priorities in hierarchial structures, Journal ...
27. Sinha, R., Bapalu, G., Singh, L. & Rath, B. Flood ...
28. Srinivas, V. V. , Shivam Tripathia, A. Ramachandra Rao, Rao ...
29. Thomalla F., Downing T., Spanger- Siegfried E., Han G., Rockström ...
30. Thomas G, Anderson M, Crozier M. J. Landslide Hazard, and ...
31. UNDP, Reducing Disaster Risk, a Challenge for Development, 2004 ...
32. Van Westen, C. Geoinformation Sciene Earth Observation for municipal risk ...
33. Zadeh, Lotfi A. Fuzzy Sets, Information and Control, 1965;Vol. 8, ...
34. Zadeh, Lotfi A. Fuzzy Sets, Information and Control, 1965; Vol. ...
35. Zadeh, K. S. Fu, K. Tanaka, & M.. In Fuzzy ...
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