Flood potential and near real-time inundation analysis through geospatial approaches in Shah Alam, Malaysia-Reference-Cited by-同舟云学术

Flood potential and near real-time inundation analysis through geospatial approaches in Shah Alam, Malaysia

Published:2024-06-13 Issue:1 Volume:15 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Ahmed Minhaz Farid¹^ORCID,Halder Bijay²,Juneng Liew²,Mokhtar Mazlin Bin¹³,Leeonis Adam Narashman¹

Affiliation:

1. Institute for Environment and Development (LESTARI), Universiti kebangsaan Malaysia (UKM- The National University of Malaysia), Bangi, Selangor, Malaysia

2. Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM- The National University of Malaysia), Bangi, Selangor, Malaysia

3. United Nations Sustainable Development Solutions Network (UN SDSN), Asia Headquarters, Kuala Lumpur Office hosted by Sunway University, Subang Jaya, Selangor, Malaysia

Funder

Ministry of Higher Education

Fundamental Research Grant Scheme

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2024.2361807

Reference96 articles.

1. Abd Majid N Rizal Razman M Zarina Syed Zakaria S Farid Ahmed M Azwani Zulkafli S. 2020. Flood disaster in Malaysia: approach review causes and application of geographic information system (GIS) for Mapping of flood risk area. http://www.envirobiotechjournals.com/EEC/v27maysuppli2021/EEC-1.pdf

2. Green technology and sustainable urban drainage systems using eco-composite porous concrete: A preliminary study

3. Factors influencing people’s willingness to participate in sustainable water resources management in Malaysia;Ahmed MF;J Hydrol Reg Stud,2020

4. A GIS-AHP combination for the sites assessment of large-scale CSP plants with dry and wet cooling systems. Case study: Eastern Morocco

5. Identification of Mangrove Areas by Remote Sensing: The ROC Curve Technique Applied to the Northwestern Mexico Coastal Zone Using Landsat Imagery