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### ENSO对韶关市1951~2013年降雨侵蚀力影响研究

1. 韶关学院旅游与地理学院, 广东 韶关 512005
• 收稿日期:2015-12-20 修回日期:2016-03-13 出版日期:2016-10-20 发布日期:2020-09-07
• 作者简介:

作者简介: 陈世发（1984-）,男,湖南平江人,博士,讲师,从事土壤侵蚀研究。E-mail:sgxycsf@163.com

• 基金资助:
广东省教育厅青年创新人才项目(2015KQNCX148)、广东省本科高校教学质量与教改工程项目（201493）、韶关市哲学社会科学项目（G2015006）资助

### Impact of ENSO on Rainfall Erosivity in Shaoguan City During 1951-2013

Chen Shifa()

1. College of Tourism and Geography, Shaoguan University, Shaoguan 512005, Guangdong, China
• Received:2015-12-20 Revised:2016-03-13 Online:2016-10-20 Published:2020-09-07

Abstract:

Soil erosion is one of the world’s three major environmental problems and is the primary cause of land degradation. Its origin is related to a series of natural factors including rainfall, topography, soil and vegetation properties, and inharmonious human activities that aggravate soil erosion. The rainfall is one of the main powers that lead to soil erosion. Rainfall erosivity is the tendency of rainfall to erode the soil, long time sequence rainfall erosivity is influenced by large scale circulation situation. Rainfall erosivity is highly dependent on rainfall, which is closely related to the ENSO (El Ni?o-Southern Oscillation) indices. Pearson’s correlation coefficient can be used to evaluate the validity of the relationship between the ENSO indices and annual rainfall erosivity. This article investigated the influence on rainfall erosivity in Shaoguan City of the El Ni?o SST (Sea Surface Temperatures) anomaly, the SOI (Southern Oscillation Index) and the MEI (Multivariate El Ni?o-Southern Oscillation Index) as representations of ENSO phenomena. These index were selected because of three teleconnection patterns that are known to be important for rainfall erosivity. Through selects month rainfall as calculate rainfall erosivity during 1951-2013 and analyze that ENSO events influence rainfall erosivity in Shaoguan City. The results are indicated as follows: 1) The rainfall erosivity show upward trend and evident seasonal variation and great variation between years. At the same time, the 5 a moving average curve of rainfall erosivity indicates that the general trend is an increase accompanied by fluctuations; 2) Correlation analyses were applied to rainfall erosivity and SST anomalies. The effects of the SST anomalies on rainfall erosivity are highly evident. The rainfall erosivity showed that increased at first and decreases afterwards with the increase of the SST anomalies, and low rainfall erosivity during cold events and slightly high rainfall erosivity during warm events. When other factors that affect soil erosion were fixed, soil erosion was slightly serious during El Ni?o, whereas it was light during La Ni?a; 3) The influence of the SOI on rainfall erosivity was shown by a significant correlation, the rainfall erosivity showed decreases with the increase of the SOI; 4) The MEI explains the effects of the ENSO on Shaoguan rainfall erosivity better than did the other indices assessed in this study. Empirical evidence has shown positive correlation between rainfall erosivity and MEI. Obviously, the MEI includes six variables rather than one variable (SOI and SST), providing a better indicator for representing the state of the ENSO. Through analysis of the effects of the ENSO events on rainfall erosivity in Shaoguan city, these findings can provide a theoretical basis for the comprehensive treatment and prevention of soil erosion, and it has significant importance for the monitoring, evaluation, prediction and treatment of soil erosion.

• P467/X16