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

Panagos, P.; Borrelli, P.; Meusburger, K.; Yu, B.; Klik, A.; Lim, K.J.; E, Y.J.; Ni, J.; Miao, C.; Chattopadhyay, N.; Sadeghi, S.H.; Hazbavi, Z.; Zabihi, M.; A, L.G.; F, K.S.; V, G.A.; Levi, Y.; Erpul, G.; Birkel, C.; Hoyos, N.; Naipal, V.; Paulo Tarso, S.O.; A, B.C.; Meddi, M.; Nel, W.; Al, D.H.; Boni, M.; Diodato, N.; Van Oost, K.; Nearing, M.; Ballabio, C.

Авторы: Panos Panagos, Pasquale Borrelli, Katrin Meusburger, Bofu Yu, Andreas Klik, Kyoung Jae Lim, Yang Jae E., Jinren Ni, Chiyuan Miao, Nabansu Chattopadhyay, Seyed Hamidreza Sadeghi, Zeinab Hazbavi, Mohsen Zabihi, Larionov Gennady A., Krasnov Sergey F., Gorobets Andrey V., Yoav Levi, Gunay Erpul, Christian Birkel, Natalia Hoyos, Victoria Naipal, Sanches Oliveira Paulo Tarso, Bonilla Carlos A., Mohamed Meddi, Werner Nel, Dashti Hassan Al, Martino Boni, Nazzareno Diodato, Kristof Van Oost, Mark Nearing, Cristiano Ballabio
Журнал: Scientific reports
Номер: 7:4175
Год издания: 2017
Издательство: Nature Publishing Group
Местоположение издательства: United Kingdom
Первая страница: 1
Последняя страница: 12
DOI: 10.1038/s41598-017-04282-8
Аннотация: 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(~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.
Добавил в систему: Горобец Андрей Васильевич

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

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