Satellite-based estimation of rainfall erosivity for Africa

被引:105
|
作者
Vrieling, Anton [1 ]
Sterk, Geert [2 ]
de Jong, Steven M. [2 ]
机构
[1] Univ Twente, Fac Geo Informat Sci & Earth Observat, NL-7500 AE Enschede, Netherlands
[2] Univ Utrecht, Dept Phys Geog, NL-3508 TC Utrecht, Netherlands
关键词
Erosivity; Precipitation; Soil erosion; Remote sensing; TRMM; TMPA; GLOBAL PRECIPITATION; SOIL-EROSION; KINETIC-ENERGY; VALIDATION; TRMM; MAP; RESOLUTION; PRODUCTIVITY; VARIABILITY; INTENSITY;
D O I
10.1016/j.jhydrol.2010.10.035
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Rainfall erosivity is a measure for the erosive force of rainfall Rainfall kineticenergy determines the erosivity and is in turn greatly dependent on rainfall intensity Attempts for its large-scale mapping are rare Most are based on interpolation of erosivity values derived from rain gauge data For data-poor regions this is not an option This study examines whether erosivity can be accurately mapped for Africa using 3-hourly TRMM Multi-satellite Precipitation Analysis (TMPA) precipitation data Using intensity-erosivity relationships and 11 years of TMPA data (1998-2008) we calculated average annual erosivity We also calculated erosivity from the monthly TMPA data product using the often-applied Fournier and modified Fournier indices From literature 39 locations with long-term erosivity values were retrieved Comparison showed that the modified Fournier Index attains a much stronger correlation (r = 0 84) than the results based on 3-hourly data (r = 0 71) We conclude that (1) the 3 hourly and 0 25 degree TMPA data provide insufficient detail to represent high-intensity erosive events and (2) monthly satellite-based precipitation provides good spatial estimates of average annual erosivity (c) 2010 Elsevier B V All rights reserved
引用
收藏
页码:235 / 241
页数:7
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