Faculté des Sciences appliquées
Faculté des Sciences appliquées

Flood damage estimation: knowledge gained from field surveys

Muhammad, Anus ULiège
Promotor(s) : Dewals, Benjamin ULiège
Date of defense : 5-Sep-2022/6-Sep-2022 • Permalink :
Title : Flood damage estimation: knowledge gained from field surveys
Translated title : [fr] Estimation des dommages causés par les inondations : connaissances acquises grâce aux enquêtes sur le terrain
Author : Muhammad, Anus ULiège
Date of defense  : 5-Sep-2022/6-Sep-2022
Advisor(s) : Dewals, Benjamin ULiège
Committee's member(s) : Archambeau, Pierre ULiège
Teller, Jacques ULiège
Cools, Mario ULiège
Scorzini, Anna Rita 
MOLINARI, Daniela 
Language : English
Number of pages : 131
Keywords : [en] Flood damage estimation
[en] Flood damage estimation of residential buildings
[en] Flood damage estimation through field surveys
[en] Floods in July 2021
Discipline(s) : Engineering, computing & technology > Civil engineering
Target public : Researchers
Professionals of domain
General public
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil des constructions, à finalité spécialisée en "urban and environmental engineering"
Faculty: Master thesis of the Faculté des Sciences appliquées


[en] Flooding has been increased significantly in all over the world from the past few years because of the climate change and economic losses due to flooding have been increased more significantly from the last few decades. It is necessary to estimate the flood losses in the domain of flood risk management and to adopt the best practices for the collection, storage, and analysis of the flood damage data in order to develop the risk mitigation strategies for the severe flood events. In this study, one of the best practices has been presented for the collection and estimation of the flood damage data of the residential buildings through field surveys. In this regard, the study was divided into two phases: (1) introduction of the pilot study for the understanding of real field conditions, identifying the strengths and weaknesses in the survey questionnaire, and improving the field strategy; and (2) organization of the detailed study based on the previous experience of the pilot study and conducting field surveys on a large scale by adopting improved field strategy through a well-structured paper-based survey questionnaire.

Through field surveys, the data for socio-demographic characteristics and damage information including building features, hazard variables, building damage cost, building damage extend, financial compensation, precautionary measures, and warning systems of the population was collected. The collected flood damage data was encoded in the Moodle and the python script was used for decoding any errors between encoding and verification phases based on a timestamp and mostly graphs were generated based on readily available python scripts. The analysis and the interpretations of the graphs have been done for developing the relationships and dependencies between different variables and building features and conclusions have been drawn at the end of this study.



Access TFE_Anus_Muhammad.pdf
Size: 4.11 MB
Format: Adobe PDF


Size: 133.11 kB
Format: Adobe PDF
Access RESUME_TFE.pdf
Size: 87.35 kB
Format: Adobe PDF


  • Muhammad, Anus ULiège Université de Liège > Master ingé. civ. constr., fin.


Committee's member(s)

  • Archambeau, Pierre ULiège Université de Liège - ULiège > Département ArGEnCo > HECE (Hydraulics in Environnemental and Civil Engineering)
    ORBi View his publications on ORBi
  • Teller, Jacques ULiège Université de Liège - ULiège > Département ArGEnCo > Urbanisme et aménagement du territoire
    ORBi View his publications on ORBi
  • Cools, Mario ULiège Université de Liège - ULiège > Département ArGEnCo > Transports et mobilité
    ORBi View his publications on ORBi
  • Scorzini, Anna Rita Università degli studi dell'Aquila > Dipartimento di Ingegneria Civile, Edile – Architettura, Ambientale
  • MOLINARI, Daniela
  • Total number of views 11
  • Total number of downloads 37

All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.