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首页> 外文期刊>Hydrology and Earth System Sciences >Spatial and temporal variability of rainfall erosivity factor for Switzerland
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Spatial and temporal variability of rainfall erosivity factor for Switzerland

机译:瑞士降雨侵蚀力因子的时空变化

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Rainfall erosivity, considering rainfall amount and intensity, is animportant parameter for soil erosion risk assessment under future land useand climate change. Despite its importance, rainfall erosivity is usuallyimplemented in models with a low spatial and temporal resolution. The purposeof this study is to assess the temporal- and spatial distribution of rainfallerosivity in form of the (Revised) Universal Soil Loss Equation R-factor forSwitzerland. Time series of 22 yr for rainfall (10 min resolution) andtemperature (1 h resolution) data were analysed for 71 automatic gaugingstations distributed throughout Switzerland. Regression-kriging was used tointerpolate the rainfall erosivity values of single stations and to generate a map forSwitzerland. Latitude, longitude, average annual precipitation, biogeographicunits (Jura, Midland, etc.), aspect and elevation were used as covariates, ofwhich average annual precipitation, elevation and the biographic unit(Western Central Alps) were significant (p<0.01) predictors. The mean value oflong-term rainfall erosivity is 1330 MJ mm ha−1 h−1 yr−1 with a range oflowest values of 124 MJ mm ha−1 h−1 yr−1 at an elevated station in Grisons tohighest values of 5611 MJ mm ha−1 h−1 yr−1 in Ticino. All stations havehighest erosivity values from July to August and lowest values in the wintermonths. Swiss-wide the month May to October show significantly increasingtrends of rainfall erosivity for the observed period (p<0.005). Only in February a significantly decreasingtrend of rainfall erosivity is found (p<0.01). The increasing trends ofrainfall erosivity in May, September and October when vegetation cover is scarce arelikely to enhance soil erosion risk for certain agricultural crops and alpinegrasslands in Switzerland.
机译:考虑到降雨的数量和强度,降雨侵蚀力是评估未来土地利用和气候变化下土壤侵蚀风险评估的重要参数。尽管具有重要性,但降雨侵蚀力通常是在具有低时空分辨率的模型中实现的。这项研究的目的是以(修订后)瑞士通用土壤流失方程 R 因子的形式评估降雨侵蚀力的时空分布。对分布在瑞士的71个自动测量站的降雨(10分钟分辨率)和温度(1h分辨率)数据的22年时间序列进行了分析。回归克里格法用于内插单站的降雨侵蚀力值并生成瑞士地图。将纬度,经度,年平均降水量,生物地理单位(汝拉,米德兰等),纵横比和海拔高度作为协变量,其中年均降水量,海拔和生物单位(西阿尔卑斯山西部)具有显着性( p <0.01)预测变量。长期降雨侵蚀力的平均值为1330 MJ mm ha −1 h −1 yr -1 ,最小值范围为124 MJ在格劳宾登斯高架站的mm ha -1 h -1 yr -1 最高值为5611 MJ mm ha -1 < / sup> h -1 yr -1 在提契诺州。从7月到8月,所有测站的侵蚀率值最高,而在冬季则最低。在整个瑞士的5月至10月,观测期间的降雨侵蚀力趋势显着增加( p <0.005)。仅在二月份,降雨侵蚀力才有明显下降的趋势( p <0.01)。在五月,九月和十月,植被稀少的降雨侵蚀力的增长趋势可能会增加瑞士某些农作物和高寒草原的土壤侵蚀风险。

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