2023
DOI: 10.3390/land12101876
|View full text |Cite
|
Sign up to set email alerts
|

Geo-Hydrological Hazard Impacts, Vulnerability and Perception in Bujumbura (Burundi): A High-Resolution Field-Based Assessment in a Sprawling City

Jean Nsabimana,
Sabine Henry,
Aloys Ndayisenga
et al.

Abstract: Rapid urbanization, demographic pressure, and sprawl of cities are key factors in the vulnerability and damage related to geo-hydrological hazards. Dysfunctional urban services that favor informal settlements are at the forefront of elements that increase vulnerability. Cases of cities that suffer from geo-hydrological hazards are increasingly reported in many regions, especially in tropical countries in the Global South. Yet, studies on such examples are rare and commonly overlook the human and societal compo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 89 publications
0
1
0
Order By: Relevance
“…The findings of this investigation revealed a link between urban anthropization and its catastrophic impacts on community wellbeing. Data from interviews, surveys, and focus group discussions were used to fill information gaps on community well-being and flood mitigation policies in Uvira (Nsabimana et al 2023). The research participants' experience was extremely important in reconciling findings from spatial analysis and field data analysis.…”
Section: Introductionmentioning
confidence: 99%
“…The findings of this investigation revealed a link between urban anthropization and its catastrophic impacts on community wellbeing. Data from interviews, surveys, and focus group discussions were used to fill information gaps on community well-being and flood mitigation policies in Uvira (Nsabimana et al 2023). The research participants' experience was extremely important in reconciling findings from spatial analysis and field data analysis.…”
Section: Introductionmentioning
confidence: 99%