globalchange  > 气候减缓与适应
DOI: 10.1016/j.catena.2018.09.003
WOS记录号: WOS:000449136800031
论文题名:
Spatio-temporal variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West Africa
作者: Amanambu, Amobichukwu C.1,2,6; Li, Lanhai1,2,3; Egbinola, Christiana N.5; Obarein, Omon A.4; Mupenzi, Christophe1,2,7; Chen, Ditao1,2
通讯作者: Li, Lanhai
刊名: CATENA
ISSN: 0341-8162
EISSN: 1872-6887
出版年: 2019
卷: 172, 页码:324-334
语种: 英语
英文关键词: Rainfall-runoff erosivity ; GCMs ; RUSLE ; Soil erosion ; Niger-basin ; Climate change
WOS关键词: SOIL-EROSION ; KINETIC-ENERGY ; LAND-USE ; VARIABILITY ; CATCHMENT ; SCALES ; IMPACT
WOS学科分类: Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向: Geology ; Agriculture ; Water Resources
英文摘要:

Spatio-temporal variation in rainfall-runoff erosivity resulting from changes in rainfall characteristics due to climate change has implications for soil and water conservation in developing countries. Understanding past and future variations in rainfall-runoff erosivity and its implication, in tropical areas where there are limited continuous daily rainfall records, is important. The present study attempted to (i) quantify the nature of spatio-temporal variability of erosivity from rainfall amount using Global Circulation Models (GCMs), and (ii) evaluate the implications of changes in rainfall-runoff erosivity in the Lower Niger Basin, West Africa. The GCMs scenarios (GFDLCM3, HADCM2, MIROC5, and MPIESMLR) were statistically downscaled using the delta method for three-time slices (the 2030s, 2050s, and 2070s). World climate data was used as the current baseline climate since it is the source of the future precipitation simulation. The R factor from the Revised Soil Loss Equation (RUSLE) was used to determine erosivity, while the RUSLE model was used to ascertain the implications of changes in erosivity. Observation data (1970-2013) from 20 meteorological stations were used to validate the erosivity model. The result indicates that there is an increasing trend in the annual rainfall-runoff erosivity from the baseline climate up to the GCMs, for all the GCMs, with an average change in rainfall-runoff erosivity of about 14.1%, 19%, and 24.2% for the 2030s, 2050s, and 2070s respectively. There was a concomitant increase in soil loss of 12.2%, 19.3% and 20.6% from the baseline for the 2030s, 2050s, and 2070s respectively. Though the combined average annual rainfall and erosivity show steady increases, some of the models (GFDLCM3-2.6 and HADCM2-2.6) reveal a likely decrease in annual rainfall and erosivity for the 2070s. Higher precipitation amounts were the major drivers of increasing spatial and temporal rainfall-runoff erosivity. More studies should be performed to include other important factors that exacerbate increases in erosivity, especially future changes in land use.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125902
Appears in Collections:气候减缓与适应

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作者单位: 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Yili Stn Watershed Ecosyst Studies, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China
4.Kent State Univ, Dept Geog, 325 S Lincoln St, Kent, OH 44242 USA
5.Univ Ibadan, Dept Geog, Ibadan, Oyo State, Nigeria
6.Loughborough Univ, Sch Civil & Bldg Engn, Water Engn & Dev Ctr, Loughborough, Leics, England
7.Univ Lay Adventists Kigali UNILAK, POB 6392, Kigali, Rwanda

Recommended Citation:
Amanambu, Amobichukwu C.,Li, Lanhai,Egbinola, Christiana N.,et al. Spatio-temporal variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West Africa[J]. CATENA,2019-01-01,172:324-334
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