典型文献
Natural disaster in the mountainous region of Rio de Janeiro state,Brazil:Assessment of the daily rainfall erosivity as an early warning index
文献摘要：
Rainfall erosivity is defined as the potential of rain to cause erosion.It has great potential for application in studies related to natural disasters,in addition to water erosion.The objectives of this study were:ⅰ)to model the Rday using a seasonal model for the Mountainous Region of the State of Rio de Janeiro(MRRJ);ⅱ)to adjust thresholds of the Rday index based on catastrophic events which occurred in the last two decades;and ⅲ)to map the maximum daily rainfall erosivity(Rmaxday)to assess the region's suscepti-bility to rainfall hazards according to the established Rday limits.The fitted Rday model presented a satisfactory result,thereby enabling its application as a Rday estimate in MRRJ.Events that resulted in Rday＞1500 MJ ha-1.mm.h-1.day-1 were those with the highest number of fatalities.The spatial distribution of Rmaxday showed that the entire MRRJ has presented values that can cause major rainfall.The Rday index proved to be a promising indicator of rainfall disasters,which is more effective than those normally used that are only based on quantity(mm)and/or intensity(mm.h-1)of the rain.
文献关键词：
中图分类号：
作者姓名：
Geovane J.Alves;Carlos R.Mello;Li Guo;Michael S.Thebaldi
作者机构：
Water Resources Department,School of Engineering,Federal University of Lavras,Lavras,MG,37200-900,CP,3037,Brazil;State Key Laboratory of Hydraulics and Mountain River Engineering,College of Water Resource and Hydropower,Sichuan University,Chengdu,610065,China
文献出处：
引用格式：
[1]Geovane J.Alves;Carlos R.Mello;Li Guo;Michael S.Thebaldi-.Natural disaster in the mountainous region of Rio de Janeiro state,Brazil:Assessment of the daily rainfall erosivity as an early warning index)[J].国际水土保持研究（英文）,2022(04):547-556
A类：
Janeiro,erosivity,MRRJ,Rmaxday
B类：
Natural,mountainous,region,Rio,state,Brazil,Assessment,daily,rainfall,early,warning,Rainfall,defined,potential,cause,erosion,It,has,great,application,studies,related,natural,disasters,addition,water,objectives,this,study,were,model,Rday,using,seasonal,Mountainous,Region,State,adjust,thresholds,catastrophic,events,which,occurred,last,two,decades,map,maximum,assess,suscepti,bility,hazards,according,established,limits,fitted,presented,satisfactory,thereby,enabling,estimate,Events,that,resulted,MJ,those,highest,number,fatalities,spatial,distribution,showed,entire,values,can,major,proved,promising,indicator,more,effective,than,normally,used,are,only,quantity,intensity
AB值：
0.479643
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