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Flood vulnerability assessment of donstream area in Mono basin in Yoto district, south-eastern Togo
( Télécharger le fichier original )
par
Abravi Essenam KISSI
University of Lome - Master 2014
Disponible en
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ABSTRACT
Flood Vulnerability Assessment in Downstream Area of Mono Basin,
South-Eastern Togo: Yoto District. (November, 2014)
RESUME
Dedication
ACKNOWLEDGEMENTS
TABLE OF CONTENTS
LIST OF FIGURES
LIST OF TABLES
LIST OF MAPS
LIST OF PHOTO
CHAPTER I. INTRODUCTION
1.1. Problem Statement
1.2 Research Objectives
1.3. Research Questions
1.4. Research Hypothesis
1.5. Thesis Structure
CHAPTER II: LITERATURE REVIEW
2.1. Hazards, Disasters, and Vulnerability
2.2. Flood Vulnerability Factors
2.3. Methodology for Measurement of Vulnerability to Natural Hazards
2.3.1. Theoretical and Conceptual Frameworks of Vulnerability
2.3.2 Indicators for Measuring Vulnerability
2.4. The Index Approach to Study Vulnerability
2.4.1.Existing Flood Vulnerability Index
CHAPTER III: RESEARCH METHODOLOGY
3.1 The area of study
3.1.1 Localisation
3.1.2. Landscape, soil and vegetation
3.1.3. Climate and Hydrology
3.1.4. Population and Economic Activities
The study area is made up of three counties (Sedome, Esse-Godjin and Tokpli). According to the Togo Population and Housing Census Report in 2010, the total population of the three counties was estimated at about 34918 with 10803 in Sedome, 9261 in Esse-Godjin and 14854 in Tokpli. The majority of the population is located in the River floodplains. Agriculture is the most important activity being carried out in the area with a majority of the people living practising subsistence farming.
The fertile soils coupled with the abundant rainfall per year ensure ample yields of food crops. The main crops grown in the area include maize, cassava, sugarcane, beans, groundnut, palm trees and some vegetables.
The people in the targeted area also keep animals such as goats, cattle, pigs and chicken. Other activities in the targeted area include trading, fishing, palm oil production etc.
3.2. Methods
3.2.1. Study Population and sampling
3.2.2. Selected Vulnerability Conceptual Frameworks
3.2.3. Flood Vulnerability Indicator Development
3.3. Data collection and Analysis
This part describes data collection processes as well as data analysis methods.
3.3.1. Primary Data Collection
Field work plays a very important role in collecting primary data. By applying simple random sampling technique, information were collected through questionnaire-based interviews at household levels and personal observation. The questionnaires are designed based on selected indicators developed under Turner et al (2003) vulnerability framework "Table 2". One question for every indicator under each factor is displayed "Annexe 8".
3.3.2. Secondary Data
3.3.3. Data Analysis
3.3.3.1. Trend Analysis of Rainfall And River Discharge to Assess Climate Change.
3.3.3.2. Analysis of the determinants of communities' vulnerability to flood
3.3.3.3 Analysis of human-environmental condition
3.3.3.4 Computation of Flood Vulnerability Index (FVI)
CHAPTER IV: PRESENTATION AND DISCUSSION OF RESULTS
4.1. Empirical Finding on Trend and Variability Analysis
4.1.1. Precipitation Time Series Analysis
4.1.2. Discharge Time Series Analysis
4.2. Determinants of Communities' Vulnerability to Floods
4.2.1. Flood Frequency and Magnitude Analysis
4.2.4. Assessment of communities' vulnerability : Human-environmental conditions
4.2.4.1. Socio-Demographic Characteristics of Households
4.2.4.2 Location of settlement and type of construction
4.2.4.3. Livelihood patterns of respondents
4.2.4.4. Awareness and impacts of flood
4.2.4.5 Environmental conditions
4.2.4.6. Household coping mechanisms
4.2.4.7. Anticipative measures of flood occurrence
4.2.4.8. Training on flood hazard management
4.2.4.9. Household recovery time and positive effects of flood on household
4.2.5 Household adaptation options
4.2.5.1 Household's perception of Government and NGOs role in flood management
4.2.5.2. Household `s perception of communities role in flood management
4.3 Computation of Flood Vulnerability Index
4.3.1 Identifying key indicators of developed FVI
4.3.2. Normalised Scores and Weight Values of Indicators
4.3.4. Composite vulnerability index of vulnerability factors
4.3.4.1. Exposure factor
4.3.4.2 Susceptibility Factor
4.3.4.3 Resilience Factor
CHAPTER V: CONCLUSION AND POLICY RECOMMENDATION
REFERENCES
ANNEXES
Annexe 1 : Statistical summary of Annual and monthly precipitation for Tabligbo
Annexe 2: Mann-Kendall test results of annual, monthly and seasonal precipitation
Annexe 3 : Statistical summary of Annual and monthly Flow for Athieme
Annexe 4: Mann-Kendall results of annual , monthly and seasonal flow for the study area
Annexe 5: calculation for Return Period of 2010 Flood, Mono River
Annexe 6:normalised scores of flood vulnerability indicators of each village
Annexe 7: Calculated weights of flood vulnerability indicators
Annexe 8: Questionnaire for Household Interview
Annexe 9: Key Informants Interview Guide.
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