Flood susceptibility mapping by best–worst and logistic regression methods in Mersin, Turkey-Reference-Cited by-同舟云学术

Flood susceptibility mapping by best–worst and logistic regression methods in Mersin, Turkey

Published:2023-01-27 Issue:15 Volume:30 Page:45151-45170
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Özay Bilal^ORCID,Orhan Osman

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-25423-9.pdf

Reference72 articles.

1. Ahmad D, Afzal M (2020) Flood hazards and factors influencing household flood perception and mitigation strategies in Pakistan. Environ Sci Pollut Res 27(13):15375–15387

2. Ahmad D, Afzal M (2022) Flood hazards and livelihood vulnerability of flood-prone farm-dependent Bait households in Punjab, Pakistan. Environ Sci Pollut Res 29(8):11553–11573

3. Al-Juaidi AEM, Nassar AM, Al-Juaidi OEM (2018) Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors. Arab J Geosci 11(24):1–10

4. Arabameri A, Rezaei K, Cerdà A, Conoscenti C, Kalantari Z (2019) A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran. Sci Total Environ 660:443–458

5. Batuk MN (2017) Mersin'de Sel Sonrası Dere Yataklarındaki Evlere Dikkat, Mersinportal, https://www.mersinportal.com/mersin/mersinde-sel-sonrasi-dere-yataklarindaki-evlere-dikkat-h34367.html. Accessed 04 Jun 2022

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