Flood susceptibility mapping using GIS and multi-criteria decision analysis: a case of Dodoma region, central Tanzania

Simple item page
dc.contributor.authorMsabi, Michael M.
dc.contributor.authorMakonyo, Michael
dc.date.accessioned2023-05-25T09:13:37Z
dc.date.available2023-05-25T09:13:37Z
dc.date.issued2021
dc.descriptionAbstract. Full text article available at https://doi.org/10.1016/j.rsase.2020.100445en_US
dc.description.abstractFloods have become common natural disasters that lead to devastating destruction to the infrastructure and natural environment. With the eminent climate change and weather variability, it might not be possible to prevent floods. However, flood prevention and mitigation can be facilitated by flood susceptibility mapping. Dodoma Region was selected due to its susceptibility to flash floods every year. The map presented in this paper is produced based on the analytical hierarchy process methodology which is an interactive decision-making approach under multi-criteria decision analysis. The method can check the consistency of the model obtained. A total of seven influencing factors are considered for mapping the flood susceptible areas within the Dodoma region, i.e. elevation, slope, geology, drainage density, flow accumulation, land-use/cover, and soil. This study established that around 40.27% of the region (17,073.323 km2) is under high to very high, whereas, 59.73% (24,517.679 km2) accounts for very low to moderate probability of flooding, respectively. The validation process of the analytical hierarchy process is executed based on the comparison of the historical flood locations of the different flood susceptible zones on the final map and AUC of 87.24% give a significant accuracy of the model. Therefore, the flood susceptibility map presented in this paper serves as a valuable tool for key stakeholders both state and non-state actors assessing flood risks in Dodoma region and the country at large.en_US
dc.identifier.citationMsabi, M. M., & Makonyo, M. (2021). Flood susceptibility mapping using GIS and multi-criteria decision analysis: A case of Dodoma region, central Tanzania. Remote Sensing Applications: Society and Environment, 21, 100445.en_US
dc.identifier.otherDOI: https://doi.org/10.1016/j.rsase.2020.100445
dc.identifier.urihttp://hdl.handle.net/20.500.12661/3980
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectFloodsen_US
dc.subjectNatural disastersen_US
dc.subjectGISen_US
dc.subjectGeographic Information Systemen_US
dc.subjectTanzaniaen_US
dc.subjectClimate changeen_US
dc.subjectFlood susceptibility mappingen_US
dc.subjectMulti-criteria decision analysisen_US
dc.subjectDodoma regionen_US
dc.subjectFlood preventionen_US
dc.titleFlood susceptibility mapping using GIS and multi-criteria decision analysis: a case of Dodoma region, central Tanzaniaen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Msabi & Makonyo.pdf
Size:
188.02 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles