TY - JOUR
T1 - A cost-benefit analysis of flood early warning system
T2 - Evidence from lower Brahmaputra River Basin, Bangladesh
AU - Islam, Abu Reza Md Towfiqul
AU - Mamun, Abdullah Al
AU - Rahman, Md Naimur
AU - Akter, Mst Yeasmin
AU - Chisty, Musabber Ali
AU - Alam, G. M.Monirul
AU - Mallick, Javed
AU - Sohel, Md Salman
N1 - Funding Information:
Authors extend thier appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project under grant numbers RGP2/442/44.
Publisher Copyright:
© 2024 Elsevier Ltd. All rights reserved.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Bangladesh is a severely flood-affected country that ranks fifth globally. Although it is well established that regional and community-based flood early warning systems (FEWS) may minimize the effects of floods, cost-benefit analyses of FEWS are still limited in Bangladesh. This is the first study to assess the cost-benefit of the FEWS in lower Brahmaputra River basin in Bangladesh which included 1000 household surveys, 32 focus group discussion, and key informant interviews. The findings indicated that during the floods, families considered the FEWS to be useful and trustworthy, enabling them to preserve household assets, agricultural, and livestock expenditures worth of BDT 267713 (USD 2525.59) per household. Based on the different scenarios, the benefit-cost ratio (BCR) ranged from 79.87 to 213. About 92% of the respondents expressed willingness to pay an annual charge of BDT 100.63 (USD 0.94) for five years if the community disaster committees were to handle the current FEWS. This might generate BDT 100637 (USD 949.40) annually, to pay for the system's maintenance and operations. As communities' advance confidence in the FEWS system and lead times are enhanced, FEWS increasingly changes their behaviors over time, leading to enhanced social capital and a broader range of early interventions that lessen preventable loss and damage. By extending the forecast lead time by two days, the present savings could increase by 21.7 times. To increase funding, government and non-government organizations may make decisions based on the findings of the cost-benefit analysis. This study also proposed a FEWS applicable in the local level.
AB - Bangladesh is a severely flood-affected country that ranks fifth globally. Although it is well established that regional and community-based flood early warning systems (FEWS) may minimize the effects of floods, cost-benefit analyses of FEWS are still limited in Bangladesh. This is the first study to assess the cost-benefit of the FEWS in lower Brahmaputra River basin in Bangladesh which included 1000 household surveys, 32 focus group discussion, and key informant interviews. The findings indicated that during the floods, families considered the FEWS to be useful and trustworthy, enabling them to preserve household assets, agricultural, and livestock expenditures worth of BDT 267713 (USD 2525.59) per household. Based on the different scenarios, the benefit-cost ratio (BCR) ranged from 79.87 to 213. About 92% of the respondents expressed willingness to pay an annual charge of BDT 100.63 (USD 0.94) for five years if the community disaster committees were to handle the current FEWS. This might generate BDT 100637 (USD 949.40) annually, to pay for the system's maintenance and operations. As communities' advance confidence in the FEWS system and lead times are enhanced, FEWS increasingly changes their behaviors over time, leading to enhanced social capital and a broader range of early interventions that lessen preventable loss and damage. By extending the forecast lead time by two days, the present savings could increase by 21.7 times. To increase funding, government and non-government organizations may make decisions based on the findings of the cost-benefit analysis. This study also proposed a FEWS applicable in the local level.
KW - Brahmaputra River Basin
KW - Cost-benefit analysis
KW - Disaster risk reduction
KW - Flood early warning
KW - Loss and damage ratio
UR - https://doi.org/10.1016/j.ijdrr.2024.104434
UR - http://www.scopus.com/inward/record.url?scp=85187520536&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2024.104380
DO - 10.1016/j.ijdrr.2024.104380
M3 - Journal article
AN - SCOPUS:85187520536
SN - 2212-4209
VL - 104
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 104380
ER -