Understanding grain virtual water flux dynamics and drivers from a socio-ecohydrological perspective: A case study of landlocked developing countries of Africa

Hirwa, Hubert; Li, Fadong; Measho, Simon; Chen, Gang; Muhirwa, Fabien; Zhang, Qiuying; Kayiranga, Alphonse; Qiao, Yunfeng; Leng, Peifang; Tian, Chao; Yang, Guang; Baranyika, Jean Baptiste; Wang, Shu; Simbi, Claudien Habimana; Izerimana, Eric; Peng, Yu; Ngwijabagabo, Hyacinthe; Niyonzima, Theogene

doi:10.1016/j.jclepro.2023.137555

Cited by 5 publications

(1 citation statement)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to reports, more than half of the world's population lives in cities, and urban flooding, as a result of extreme rainfall from climate change, is becoming a growing public concern (Hirwa et al, 2023;Tayyab et al, 2021). Thus, flood risk mapping will be useful in influencing future policies for assessing and mitigating flood impacts on cities.…”

Section: Contribution To Future Policy Implicationsmentioning

confidence: 99%

Geospatial Assessment of Urban Flood Susceptibility Using AHP-Based Multi-Criteria Technique: Case Study of Musanze, Rwanda

Hirwa,

Ngwijabagabo,

Minani

et al. 2023

RJESTE

View full text Add to dashboard Cite

Over the last decade, flood events in the northern and western urban areas of Rwanda have increased due to anthropogenic activities and the effects of climate change. This study aims to use the Analytic Hierarchy Process (AHP) geospatial multi-criteria technique to identify flood susceptibility areas and exposed assets in Musanze City. Seven factors were considered such as Topographic Wetness Index (TWI), Rainfall, Land Use Land Cover (LULC), Slope, Soil Texture, River, and Digital Elevation Model (DEM) to create a flood susceptibility map with 5 classes (from very low to very high). To validate the final map, 26 GPS points were collected from areas with a history of flooding, and the susceptibility classes were compared. Results showed that 33% of the area (~2367 ha) was classified as high to very high risk, 23% (~1645 ha) was classified as moderate, and 44% (~3113 ha) was classified as low and very low susceptibility. The study also identified physical infrastructure and land use exposed in high and very high flooding areas, including 24 schools, 2 markets, and 1 health facility, 18668 km of roads, and 3400 buildings that are highly exposed to flooding. The applied methods in this study are useful for urban planners and government officials in developing flood mitigation policies, strategies, and plans.

show abstract

Section: Contribution To Future Policy Implicationsmentioning

confidence: 99%