TY - CHAP
T1 - Flood risk assessment in developing countries
T2 - Dealing with data quality and availability
AU - Datta, Srijon
AU - Nawaz, Shahpara
AU - Hossen, Md Nazmul
AU - Karim, Mir Enamul
AU - Juthy, Nure Tasnim
AU - Hossain, Md Lokman
AU - Kabir, Md Humayain
N1 - Publisher Copyright:
© 2023 selection and editorial matter, Victor Oladokun, David Proverbs, Oluseye Adebimpe and Taiwo Adedeji; individual chapters, the contributors.
PY - 2023/3/31
Y1 - 2023/3/31
N2 - Flood risk assessment (FRA) assists in formulating disaster management
strategies for a country and identifies climatic and geographical
factors of disaster with spatial and temporal variability and impact on
society. Developing countries like Bangladesh, India, Nigeria and
Indonesia are the top victims of floods. However, FRA studies in these
countries were less noticeable before 2018. A systematic literature
review approach is used to find the models and techniques employed in
FRA studies of these countries. Additionally, required data and their
sources, which were used for risk mapping, land use planning, flood
mitigation and management, were also focused on with the approach. Most
of the studies integrated statistical models, remote sensing and GIS
models like the analytical hierarchy process and hydrological and
watershed models. Though most of the data were available locally for the
mentioned developing countries, global disaster and spatial databases
were also significantly used in the studies.
AB - Flood risk assessment (FRA) assists in formulating disaster management
strategies for a country and identifies climatic and geographical
factors of disaster with spatial and temporal variability and impact on
society. Developing countries like Bangladesh, India, Nigeria and
Indonesia are the top victims of floods. However, FRA studies in these
countries were less noticeable before 2018. A systematic literature
review approach is used to find the models and techniques employed in
FRA studies of these countries. Additionally, required data and their
sources, which were used for risk mapping, land use planning, flood
mitigation and management, were also focused on with the approach. Most
of the studies integrated statistical models, remote sensing and GIS
models like the analytical hierarchy process and hydrological and
watershed models. Though most of the data were available locally for the
mentioned developing countries, global disaster and spatial databases
were also significantly used in the studies.
UR - http://www.scopus.com/inward/record.url?scp=85159014378&partnerID=8YFLogxK
UR - https://www.routledge.com/Handbook-of-Flood-Risk-Management-in-Developing-Countries/Adebimpe-Adedeji-Oladokun-Proverbs/p/book/9781003160823
U2 - 10.1201/9781003160823-16
DO - 10.1201/9781003160823-16
M3 - Chapter
AN - SCOPUS:85159014378
SN - 9780367749743
SP - 197
EP - 216
BT - Handbook of Flood Risk Management in Developing Countries
A2 - Oladokun, Victor
A2 - Proverbs, David
A2 - Adebimpe, Oluseye
A2 - Adedeji, Taiwo
PB - Routledge (Taylor & Francis Group)
CY - London
ER -
