Global rainfall erosivity assessment based on high-temporal resolution   rainfall records

doi:10.1038/s41598-017-04282-8

CORC > 北京大学 > 环境科学与工程学院

	Global rainfall erosivity assessment based on high-temporal resolution rainfall records
	Panagos, Panos ; Borrelli, Pasquale ; Meusburger, Katrin ; Yu, Bofu ; Klik, Andreas ; Lim, Kyoung Jae ; Yang, Jae E. ; Ni, Jinren ; Miao, Chiyuan ; Chattopadhyay, Nabansu ; Sadeghi, Seyed Hamidreza ; Hazbavi, Zeinab ; Zabihi, Mohsen ; Larionov, Gennady A. ; Krasnov, Sergey F. ; Gorobets, Andrey V. ; Levi, Yoav ; Erpul, Gunay ; Birkel, Christian ; Hoyos, Natalia ; Naipal, Victoria ; Oliveira, Paulo Tarso S. ; Bonilla, Carlos A. ; Meddi, Mohamed ; Nel, Werner ; Al Dashti, Hassan ; Boni, Martino ; Diodato, Nazzareno ; Van Oost, Kristof ; Nearing, Mark ; Ballabio, Crist
刊名	SCIENTIFIC REPORTS
	2017
关键词	DIFFERENT TIME RESOLUTIONS SOIL-EROSION MAINLAND CHINA CLIMATE-CHANGE R-FACTOR MODEL VARIABILITY INTENSITY AUSTRALIA PATTERNS
DOI	10.1038/s41598-017-04282-8
英文摘要	The exposure of the Earth's surface to the energetic input of rainfall is one of the key factors controlling water erosion. While water erosion is identified as the most serious cause of soil degradation globally, global patterns of rainfall erosivity remain poorly quantified and estimates have large uncertainties. This hampers the implementation of effective soil degradation mitigation and restoration strategies. Quantifying rainfall erosivity is challenging as it requires high temporal resolution(< 30 min) and high fidelity rainfall recordings. We present the results of an extensive global data collection effort whereby we estimated rainfall erosivity for 3,625 stations covering 63 countries. This first ever Global Rainfall Erosivity Database was used to develop a global erosivity map at 30 arc-seconds(similar to 1 km) based on a Gaussian Process Regression(GPR). Globally, the mean rainfall erosivity was estimated to be 2,190 MJ mm ha(-1) h(-1) yr(-1), with the highest values in South America and the Caribbean countries, Central east Africa and South east Asia. The lowest values are mainly found in Canada, the Russian Federation, Northern Europe, Northern Africa and the Middle East. The tropical climate zone has the highest mean rainfall erosivity followed by the temperate whereas the lowest mean was estimated in the cold climate zone.; SCI(E); ARTICLE; 7
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/472700]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Panagos, Panos,Borrelli, Pasquale,Meusburger, Katrin,et al. Global rainfall erosivity assessment based on high-temporal resolution rainfall records[J]. SCIENTIFIC REPORTS,2017.
APA	Panagos, Panos.,Borrelli, Pasquale.,Meusburger, Katrin.,Yu, Bofu.,Klik, Andreas.,...&Ballabio, Crist.(2017).Global rainfall erosivity assessment based on high-temporal resolution rainfall records.SCIENTIFIC REPORTS.
MLA	Panagos, Panos,et al."Global rainfall erosivity assessment based on high-temporal resolution rainfall records".SCIENTIFIC REPORTS (2017).