Development of a spatial framework for flash flood damage assessment and mitigation by coupling analytics of machine learning and household level survey data – A case study of rapid collaborative assessments and disbursement of public funds to the affectees of floods 2022, Punjab Pakistan-Reference-Cited by-同舟云学术

Development of a spatial framework for flash flood damage assessment and mitigation by coupling analytics of machine learning and household level survey data – A case study of rapid collaborative assessments and disbursement of public funds to the affectees of floods 2022, Punjab Pakistan

Published:2024-06 Issue: Volume:108 Page:104463
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Saeed Urooj,Hussain Mubashar,Hameedullah ,Jannat butt Hira,Mukhtar Raees,Younas Imtiyaz,Ali Farhan,Akmal Farkhanda,Khan Samiullah

Publisher

Elsevier BV

Reference34 articles.

1. Extent of 2014 flood damages in Chenab Basin Upper Indus plain;Mahmood;Natural hazards-risk assessment and vulnerability reduction,2018

2. Hydrological and hydraulic models for determination of flood-prone and flood inundation areas;Aksoy;Proceedings of the International Association of Hydrological Sciences,2016

3. Vulnerability, risk and adaptation: a conceptual framework;Brooks;Tyndall Centre for climate change research working paper,2003

4. A physical approach on flood risk vulnerability of buildings;Mazzorana;Hydrol. Earth Syst. Sci.,2014

5. Exposure, hazard and risk mapping during a flood event using open source geospatial technology;Aggarwal;Geomatics, Nat. Hazards Risk,2016

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