Open AccessEmpirical Model Valuation of Urban Agriculture Vulnerability to Flooding in Makurdi, Benue State, Nigeria
Author(s) -
Jesinta Kunda,
Ahmed Abubakar Jajere,
E A Otabe,
Chindo Musa Muhammed,
Umar Muhammed Bibi,
Yusuf Maina-Bukar
Publication year - 2021
Publication title -
environment and pollution
Language(s) - English
Resource type - Journals
eISSN - 1927-0917
pISSN - 1927-0909
DOI - 10.5539/ep.v10n2p20
Subject(s) - drainage density , land use , flooding (psychology) , drainage , geography , hydrology (agriculture) , flood myth , water resource management , land cover , geospatial analysis , environmental science , flood mitigation , agricultural land , digital elevation model , agriculture , drainage basin , cartography , civil engineering , remote sensing , geology , engineering , psychology , ecology , geotechnical engineering , archaeology , psychotherapist , biology
For this study, geospatial technology was used to assess agricultural lands vulnerable to flooding in Makurdi, Benue State, Nigeria. Six thematic layers of factors influencing flood occurrences in the study area were generated from monthly rainfall, land use/cover, drainage density, soil, digital elevation model and slope. Pairwise comparison of the Analytical Hierarchy Process was used to derive the weights for each factor using expert’s judgements and literature. Weighted overlay model from the spatial analysis tool in the ArcGIS 10.4 environment was used to perform the vulnerability modelling. Expert’s judgement on the relative factors influencing flood in the study area was: rainfall (25%), elevation (22%), slope (20%), drainage density (13%), soil type (8%) and land use/cover (12%). The consistency ratio of the analysis was reasonable: (CR= 0.078). Results from the model demonstrated land vulnerability to urban agricultural flooding in the study area ranging from areas of very highly vulnerable to very low vulnerable areas, with farmlands along the floodplains of River Benue falls within the very highly vulnerable areas. The elements at Risk are; Farmland 537.6 (66.1%), Irrigation Land 40.5 (5.0%) and Built-up Land 125.8 (15.5%).