A dataset for the flood vulnerability assessment of the upper Cross River basin using morphometric analysis

被引:3
|
作者
Ogarekpe, Nkpa [1 ]
Obio, Ekpe [2 ]
Tenebe, Imokhai [3 ]
Emenike, PraiseGod [4 ]
Nnaji, Chidozie [5 ]
机构
[1] Cross River Univ Technol, Dept Civil Engn, Calabar, Nigeria
[2] Cross River Univ Technol, Dept Agron, Calabar, Nigeria
[3] Texas State Univ, Ingram Sch Engn, San Marcos, TX USA
[4] Covenant Univ, Dept Civil Engn, Ota, Nigeria
[5] Univ Nigeria, Dept Civil Engn, Nsukka, Nigeria
来源
DATA IN BRIEF | 2020年 / 30卷
关键词
Flood; Vulnerability; Upper cross river basin; Morphometric analysis;
D O I
10.1016/j.dib.2020.105344
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The on-site collection of data is not only time consuming, but expensive and perhaps near impossible in restive communities within the upper Cross River basin (UCRB). Therefore, the importance of this data cannot be overemphasized. This article presents a Digital Elevation Model (DEM), land use and land cover (LULC) map, soil map, geology map and climatic datasets which enhance the understanding of the physical characteristics of the upper Cross River basin using morphometric analysis. The use of the LULC map, soil map and the DEM in conjunction with the climatic data enhance the creation of the Hydrologic Response Units (HRUs) and the water balance modelling. The simulation of the water balance at the HRU level enables the routing of the runoff to the reaches of the sub-basins and then to the channels. The geology map provides confirmatory information to the morphometric analysis. The compound factor computed from all the derived morphometric parameters enhance the determination of the overall flood potential of the congruent sub-basins. (C) 2020 The Authors. Published by Elsevier Inc.
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收藏
页数:9
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