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Flood vulnerability assessment of donstream area in Mono basin in Yoto district, south-eastern Togo

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par Abravi Essenam KISSI
University of Lome - Master 2014

précédent sommaire suivant Household `s perception of communities role in flood management

A part from the role of government and NGOs in flood management, the interviewed households recognized the role of communities in managing flood disasters. 33.94% reported they should adopt early harvest option in order to reduce impact of flood on their livelihood; 22.63% said the importance of planting trees in reducing flood extent, while 13.57% reported they should install collective food storage in order to assist affected people with food items. Others suggested diversification of economic activities (11.31%), group farming (7.24%); building of strong house (3.16%), avoiding cultivation close to the river (2.26%), flood management committee (2.26%), collective saving (3.62%).

To sum up, besides the extreme variability in terms of flood magnitude and frequency in the Mono River in the study area, which may be due to the increasing in the precipitation and the river discharge patterns, the proximity of the villages and the closeness of households' farmlands to the river body, the type of construction and the position of settlements, the structure of the populations (high number of children; high household size), low level education of household, the lack of the diversification of livelihood strategies, the lack of adequate flood warning system and lack of willingness and ability to take responsive actions coupled with inadequate emergency services during and after flood, may increase the communities' vulnerability to flood disasters.

The low level education coupled with the limited livelihood strategies and the low incomes have resulted in poor agricultural practices. In addition, since the crop production is the main source of income and food added to the high number household member, increased exposure to floods will exacerbate the population vulnerabilities to flood hazards by compromising their food security. This situation proves that the research hypothesis is verified.

4.3 Computation of Flood Vulnerability Index

The Flood Vulnerability Index (FVI), in the present study, aimed to identify the most vulnerable village related to flood events in the three selected counties in the downstream area of the Mono River basin in the Yoto district.

4.3.1 Identifying key indicators of developed FVI

Thirty (30) indicators were used in the present study. Those indicators were categorised under the three factors of vulnerability and were included in the FVI computation.

4.3.2. Normalised Scores and Weight Values of Indicators

A system at risk is more vulnerable when it is more exposed to a hazard. However, it will be less vulnerable the more resilient it is. From the vulnerability equation, high exposure and high susceptibility lead to increases in vulnerability. On the other hand, high resilience levels decreases vulnerability. To this end, the normalization method takes into account the functional relationship between the variable and vulnerability in order to avoid misleading issue in the construction of the indices. The normalised values of each indicator is given in annexe (6). Iyengar and Sudarshan (1982) method were used to calculate weight of each indicator. The calculated weights for each of the flood vulnerability indicators are given in "annexe "7.

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