College of Tourism and Geography, Shaoguan University, Shaoguan, Guangdong 512005, China; College of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian 350007, China.
College of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian 350007, China; Institute of Geography, Fujian Normal University, Fuzhou, Fujian 350007, China.
Sci Total Environ. 2018 Apr 15;621:1378-1388. doi: 10.1016/j.scitotenv.2017.10.090. Epub 2017 Nov 11.
Rainfall erosivity is one important factor that controls soil erosion. The interannual variability of rainfall erosivity in southeast China connected to the ENSO (El Niño-Southern Oscillation). Rainfall erosivity across southeast China was assessed using daily rainfall data from 60 meteorological stations during the period from 1980 to 2013. We determined that models of erosivity based on daily rainfall can accurately predict annual rainfall erosivity. This paper presents a study of the effects of Niño3.4 SST (Sea Surface Temperatures) anomalies, the SOI (Southern Oscillation Index) and the MEI (Multivariate El Niño-Southern Oscillation Index) on rainfall erosivity in the southeast of China. Results indicated that average rainfall erosivity is stronger during El Niño events and weaker during La Niña events. Correlation analyses were applied to rainfall erosivity and Niño3.4 SST anomalies, SOI, and MEI. The effects of Niño3.4 SST and SOI on rainfall erosivity are evident, as demonstrated by a statistically significant correlation (>95% confidence level). MEI was the best indicator (P<0.01) for representing the state of the ENSO. Results further indicated that 45, 31, and 40 of the 60 meteorological stations showed a significant correlation (P<0.05) between rainfall erosivity and SST anomalies, SOI, and MEI, respectively. Most of these stations were located in western Fujian Province. The ENSO was determined to exert the strongest influence on rainfall erosivity. This information would be useful in the implementation of new soil conservation strategies.
降雨侵蚀力是控制土壤侵蚀的重要因素之一。中国东南部的降雨侵蚀力年际变化与厄尔尼诺-南方涛动（ENSO）有关。利用 1980 年至 2013 年期间 60 个气象站的日降雨量数据，评估了中国东南部的降雨侵蚀力。结果表明，基于日降雨量的侵蚀力模型可以准确预测年降雨量侵蚀力。本文研究了尼诺 3.4 海表温度（SST）异常、南方涛动指数（SOI）和多变量厄尔尼诺-南方涛动指数（MEI）对中国东南部降雨侵蚀力的影响。结果表明，厄尔尼诺事件期间平均降雨侵蚀力较强，拉尼娜事件期间较弱。对降雨侵蚀力与尼诺 3.4 SST 异常、SOI 和 MEI 进行了相关分析。结果表明，尼诺 3.4 SST 和 SOI 对降雨侵蚀力的影响显著，具有统计学意义（>95%置信水平）。MEI 是代表 ENSO 状态的最佳指标（P<0.01）。结果进一步表明，60 个气象站中有 45、31 和 40 个站的降雨侵蚀力与 SST 异常、SOI 和 MEI 之间存在显著相关（P<0.05），这些站大多位于福建省西部。结果表明，ENSO 对降雨侵蚀力的影响最大。这些信息将有助于实施新的土壤保持策略。
