摘要
基于1961-2017年均一化逐日降水资料,采用线性回归及Mann-kendall显著性检验、Spearman秩偏相关、广义极值分布等方法对长江流域年降雨侵蚀力及侵蚀性的降雨特征时空分布特点、变化趋势和成因、10年一遇次降雨侵蚀力极端变化进行分析,并从总体趋势和极端变化角度综合探讨导致土壤水蚀加剧的气候危险性格局,为长江流域生态环境保护、可持续发展及制定针对性精细化水土保护措施和流域治理提供参考。结果表明:1)1961-2017年,长江流域年降雨侵蚀力和年侵蚀性的降雨量、降雨日数、雨强变化速率增加,雨强增加趋势明显;2)流域和大部分分区年降雨侵蚀力增加主要受年侵蚀性降雨量和雨强增加变化的影响,多数分区因雨强的显著增加起主导作用;3)71.6%的站点年降雨侵蚀力变化速率增加,10年一遇次降雨侵蚀力1961-2017年相对1961-1990年时段增加的站点比例为61.2%;4)1961-2017年年降雨侵蚀力增加趋势和/或10年一遇次降雨侵蚀力后一时段增加,均可能造成土壤水蚀加剧的危险,长江流域水蚀气候危险性增加的站点范围广,比例多达81.5%,对水土流失预防和治理十分不利。
The Yangtze River Basin has been the largest area of soil and water loss in China.The precipitation can induce rainfall erosivity,and soil erosion.It is necessary to determine the trend and major causes of annual rainfall erosivity in this area.In this study,a linear regression and Mann-Kendall significance test were applied to analyze the long-term trend of annual rainfall erosivity,erosive rainfall,rainy days,and rainfall intensity in the Yangtze River Basin and the 12 secondary water resources divisions.The daily precipitation data was collected to be homogenized during 1961-2017.A Spearman’s rank partial correlation analysis was conducted to determine the major factors that caused the trend of annual rainfall erosivity,in terms of the erosive rainfall,rainy days and rainfall intensity.General Extreme Value(GEV)distribution function and revision coefficient were used to analyze the erosivity in the rainfall event under the 10-year return period.The difference in the two periods of 1961-1990 and 1961-2017 was used to reflect the possible impact of the extreme rainfall on soil water erosion.The climatic risk of soil water erosion was also addressed comprehensively from the perspective of the overall trend and extreme changes of annual rainfall erosivity.The results showed that:1)There was an increasing trend in the annual rainfall erosivity,erosive rainfall,rainy days,and rainfall intensity during 1961and 2017,indicating the significant trend of rainfall intensity.The spatial distribution of trends was quite different among the four elements.The mean annual rainfall erosivity was larger than the normal during the 1990s and 2011-2017 period,indicating a peak value during 2011-2017.2)There was an increasing trend in the annual rainfall erosivity of the most secondary water resources divisions,particularly on the three divisons of Dongting Lake Basin,the main stream below the Huko,and Taihu Lake Basin.Only Minjiang and Tuojiang Rivers Basin showed a significant decreasing trend.It infers that there was a different changing trend of rainfall erosivity in each division.The increasing trend of annual rainfall erosivity in most divisions was attributed to increasing the trend of erosive rainfall and rainfall intensity.Specifically,there was a leading role of intensity as a result of the significant increasing trend in many divisions.The annual erosive rainy days were one of the main influencing factors in individual districts,indicating a less effect than the other two factors.The significant decreasing trend of the Minjiang and Tuojiang Rivers was caused by a similar trend of erosive rainfall and intensity.3)There were 71.6%stations with an increasing trend of annual rainfall erosivity.The increasing ratio of erosivity rainfall event was 61.2%in the 10-year return period between the two periods of 1961-2017 and 1961-1990 to the total stations.4)One or both of the above two conditions can bring about the climatic risk of soil water erosion.Generally,the increasing climatic risk areas of soil water erosion were widely distributed,where the proportion of stations reached 81.5%.Particularly,the proportion was 51.1%under both increasing conditions,which was very unfavorable to the prevention and control of soil water loss.This finding can provide a strong reference for eco-environmental protection,sustainable development,targeted and refined water,soil protection,and watershed management in modern agriculture.
作者
高歌
殷水清
陈涛
黄大鹏
王文婷
Gao Ge;Yin Shuiqing;Chen Tao;Huang Dapeng;Wang Wenting(Laboratory for Climate Studies,National Climate Center,China Meteorological Administration,Beijing 100081,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science&Technology,Nanjing 210044,China;State Key Laboratory of Earth Surface Processes and Resource Ecology,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China;Tibet Autonomous Region Climate Centre,Lhasa 850000,China;Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University at Zhuhai,Zhuhai 519087,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2022年第3期84-92,共9页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家重点研发计划(2018YFC1509002)
中国国家铁路集团有限公司科技研究开发计划系统性重大项目(P2018T006)。
