首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Spatial-temporal distribution of rainfall erosivity, erosivity density and correlation with El Nino-Southern Oscillation in the Huaihe River Basin, China
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Spatial-temporal distribution of rainfall erosivity, erosivity density and correlation with El Nino-Southern Oscillation in the Huaihe River Basin, China

机译:中国淮河流域埃尔尼南振荡降雨侵蚀性,侵蚀性密度和相关性的空间 - 时间分布

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Rainfall erosivity (RE) is the ability of rainfall to cause soil or regolith erosion. Understanding the spatial distribution and temporal trends of RE is critical for assessing soil erosion risk and improving upon soil conservation planning. The aim of this paper is to study the temporal and spatial changes in RE in the Huaihe River Basin, China. This will be based on daily precipitation data from 67 meteorological stations in the Huaihe River Basin for the period 1971 to 2016. The assessment of the resulting RE values involved inverse distance-weighted (IDW) interpolation, Sen's slope estimation, and the Mann-Kendall nonparametric test. In addition, the possible influence of the El Nino - Southern Oscillation (ENSO) on RE in the Huaihe River Basin will be examined by the use of Cross Wavelet Transform (XWT) and Wavelet Coherence (WTC), where the relationship between RE and the multivariate ENSO index (MEI) are analyzed. The results showed that the spatial distribution of RE is characterized by it increasing from west to east and north to south. In most areas, the annual RE has increased slightly, while this upward trend in the southeastern part of the study area was more significant. The rainfall erosivity of rainstorms (RE-SM) in the Huaihe River Basin played a leading role in the annual RE, and 97% of the stations displayed the order of importance of the different categories of rainfall as rainfall erosivity of rainstorms (RE-SM) > rainfall erosivity of heavy rain (RE-HR) > rainfall erosivity of moderate rain (RE-MR). Over monthly time scales, the RE was the highest in July, while it was lowest in December, with the monthly differences being apparent. The RE in the Huaihe River Basin were relatively large during non-El Nino/La Nina periods and relatively small during El Nino/La Nina periods. Finally, correlations between RE and the MEI in various parts of the basin showed different characteristics over time and space, with both displaying similarities and differe
机译:降雨侵蚀性(RE)是降雨导致土壤或石油侵蚀的能力。了解RE的空间分布和时间趋势对于评估土壤侵蚀风险和改善土壤保护计划至关重要。本文的目的是研究中国淮河盆地的潮流和空间变化。这将基于1971年至2016年淮河流域的67个气象站的日常降水数据。对所得RE值的评估涉及逆距离加权(IDW)插值,森的坡度估计和Mann-Kendall非参数测试。此外,通过使用跨小波变换(XWT)和小波相干(WTC),将研究淮河盆地在淮河盆地中的EL Nino-Southern振荡(ENSO)对RE的可能影响。分析多变量ENSO索引(MEI)。结果表明,重新的空间分布的特点是它从西向东和南到南部增加。在大多数领域,年度重新略微增加,而研究区东南部的这种上升趋势更为显着。淮河流域暴雨(RE-SM)的降雨侵蚀性在年度RE中发挥了主导作用,97%的电台展示了不同类别的降雨量的重要性,因为暴雨的降雨侵蚀性(RE-SM )>降雨侵蚀性暴雨(RE-HR)>中度雨的降雨侵蚀性(RE-MR)。超过每月的时间尺度,重新于7月是最高的,而12月最低价,每月差异明显。在淮河盆地的重新在非EL Nino / La Nina期间相对较大,EL Nino / La Nina时期相对较小。最后,盆地各个部分之间的RE和MEI之间的相关性随着时间和空间的时间和空间显示出不同的特征,并且显示相似度和不同

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