Flash flood susceptibility mapping in urban area using genetic algorithm and ensemble method-Reference-Cited by-同舟云学术

Flash flood susceptibility mapping in urban area using genetic algorithm and ensemble method

Published:2022-02-08 Issue:25 Volume:37 Page:10199-10228
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Saleh Azlan¹,Yuzir Ali¹^ORCID,Sabtu Nuridah²^ORCID,Abujayyab Sohaib K. M.³^ORCID,Bunmi Mudashiru Rofiat²^ORCID,Pham Quoc Bao⁴^ORCID

Affiliation:

1. Disaster Preparedness and Prevention Centre (DPPC), Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur, Malaysia

2. School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia

3. Department of Geography, Karabuk University, Karabuk, Turkey

4. Faculty of Natural Sciences, Institute of Earth Sciences, University of Silesia in Katowice, Sosnowiec, Poland

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2032394

Reference110 articles.

1. Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

2. ADRC. 2019. Natural Disaster Data Book 2019 An Analytical Overview. The Asian Disaster Reduction Center (ADRC) Natural Disasters Data Book Source: All disaster data are based on EM-DAT: The Emergency Events Database - Université catholique de Louvain (UCL) – CRED, D. Guha-Sapir, Brussels, Belgium. www.emdat.be

3. Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)

4. Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey)

5. Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study

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