Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis-Reference-Cited by-同舟云学术

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Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis

Published:2023-07 Issue: Volume:50 Page:101589
ISSN:2212-0955
Container-title:Urban Climate
language:en
Short-container-title:Urban Climate

Author:

Hussain Muhammad,Tayyab Muhammad,Ullah Kashif,Ullah Safi,Rahman Zahid Ur,Zhang Jiquan,Al-Shaibah Bazel

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference111 articles.

1. Projection of precipitation extremes over South Asia from CMIP6 GCMs;Abbas;J. Arid. Land.,2023

2. Evaluation and projection of precipitation in Pakistan using the coupled model Intercomparison project phase 6 model simulations;Abbas;Int. J. Climatol.,2022

3. An integrated indicator-based approach for constructing an urban flood vulnerability index as an urban decision-making tool using the PCA and AHP techniques: a case study of Alexandria, Egypt;Abdrabo;Urban Clim.,2023

4. Application of random forests to select premium quality vegetable oils by their fatty acid composition;Ai;Food Chem.,2014

5. Linkages between vulnerability, resilience, and adaptive capacity;Allopn;Glob. Environ. Chang.,2006

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