Assessing the flood risk of riverine households: A case study from the right bank of the Teesta River, Bangladesh

• Published in: International journal of disaster risk reduction Vol. 51; p. 101758
• Main Authors: Mondal, Md. Sanaul Haque, Murayama, Takehiko, Nishikizawa, Shigeo
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2020
• Subjects: Bangladesh; Composite index; Flood risk assessment; Teesta river; Vulnerability; Bangladesh; Vulnerability; Teesta river; Flood risk assessment; Composite index
• ISSN: 2212-4209; 2212-4209
• DOI: 10.1016/j.ijdrr.2020.101758

Floods are one of the greatest hazards in Bangladesh. It is assumed that people who reside in a riverine area have adapted to flood pulses. However, in most cases, household-level risk-reduction strategies are inadequate for ensuring a livelihood resilient to floods. This is because riverine people are exposed to recurrent floods, which increases their vulnerability to floods. In order to formulate effective risk-reduction policies and programs for riverine areas, it is crucial to measure flood risk at the local level. This study, therefore, aims to assess the flood risk of riverine households. A multi-dimensional integrated flood risk assessment framework was adopted to quantify household-level flood risk. Using a systematic random sampling technique, 377 respondents from the right bank of the Teesta River in Bangladesh were interviewed to characterize flood hazards, exposure to floods, and their vulnerability and capacity to absorb flood risk. The survey also includes key informant interviews. The collected data were aggregated using a composite index, while comparing the components of flood risk. Descriptive and analytical statistics were also computed. The results showed that flood risk was higher in downstream areas, followed by upstream areas and the midstream segments of the right bank of the Teesta River. The degree of flood risk in these three clusters was significantly different. A significant negative correlation was observed between vulnerability and capacity. No significant associations were found between the exposure and vulnerability components. The multivariate analysis suggested that households’ perceived preparedness was influenced by their ability to responds to floods. The empirical approach presented in this study could be used to assess flood risk in other regions, especially where data is scarce.