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首页> 外文期刊>Hydrology and Earth System Sciences >Identifying erosive periods by using RUSLE factors in mountain fields of the Central Spanish Pyrenees
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Identifying erosive periods by using RUSLE factors in mountain fields of the Central Spanish Pyrenees

机译:在西班牙中部比利牛斯山脉的山区使用RUSLE因子识别侵蚀时期

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摘要

The Mediterranean environment is characterized by strong temporal variationsin rainfall volume and intensity, soil moisture and vegetation cover alongthe year. These factors play a key role on soil erosion. The aim of thiswork is to identify different erosive periods in function of the temporalchanges in rainfall and runoff characteristics (erosivity, maximum intensityand number of erosive events), soil properties (soil erodibility in relationto freeze-thaw processes and soil moisture content) and current tillagepractices in a set of agricultural fields in a mountainous area of theCentral Pyrenees in NE Spain. To this purpose the rainfall and runofferosivity (R), the soil erodibility (K) and the cover-management (C) factorsof the empirical RUSLE soil loss model were used. The R, K and C factorswere calculated at monthly scale. The first erosive period extends from Julyto October and presents the highest values of erosivity (87.8 MJ mm ha−1 h−1),maximum rainfall intensity (22.3 mm h−1) andmonthly soil erosion (0.25 Mg ha−1 month−1) with the minimumvalues of duration of erosive storms, freeze-thaw cycles, soil moisturecontent and soil erodibility (0.007 Mg h MJ−1 mm−1). This periodincludes the harvesting and the plowing tillage practices. The seconderosive period has a duration of two months, from May to June, and presentsthe lowest total and monthly soil losses (0.10 Mg ha−1 month−1)that correspond to the maximum protection of the soil by the crop-cover ($C$factor = 0.05) due to the maximum stage of the growing season andintermediate values of rainfall and runoff erosivity, maximum rainfallintensity and soil erodibility. The third erosive period extends fromNovember to April and has the minimum values of rainfall erosivity(17.5 MJ mm ha−1 h−1) and maximum rainfall intensity (6.0 mm h−1) withthe highest number of freeze-thaw cycles, soil moisture content and soilerodibility (0.021 Mg h MJ−1 mm−1) that explain the high value ofmonthly soil loss (0.24 Mg ha−1 month−1). The interactions betweenthe rainfall erosivity, soil erodibility, and cover-management factorsexplain the similar predicted soil losses for the first and the thirderosive periods in spite of the strong temporal differences in the values ofthe three RUSLE factors. The estimated value of annual soil loss with theRUSLE model (3.34 Mg ha−1 yr−1) was lower than the measured valuewith 137Cs (5.38 Mg ha−1 yr−1) due to the low values ofprecipitation recorded during the studied period. To optimize agriculturalpractices and to promote sustainable strategies for the preservation offragile Mediterranean agrosystems it is necessary to delay plowing tillOctober, especially in dryland agriculture regions. Thus, the protectiverole of the crop residues will extend until September when the greatestrainfall occurs together with the highest runoff erosivity and soil losses.
机译:地中海环境的特征是全年降雨量,强度,土壤湿度和植被覆盖度的时间变化很大。这些因素在土壤侵蚀中起着关键作用。这项工作的目的是根据降雨和径流特征(侵蚀性,最大强度和侵蚀事件的数量),土壤特性(与冻融过程和土壤含水量有关的土壤易蚀性)和当前的耕作实践,确定不同的侵蚀时期。在西班牙东北部比利牛斯山脉山区的一组农业领域中。为此,经验RUSLE的降雨和径流率( R ),土壤侵蚀性( K )和覆盖率管理( C )因素使用土壤流失模型。按月计算 R K C 因子。第一个侵蚀时期从7月到10月,呈现最高的侵蚀力值(87.8 MJ mm ha -1 h -1 ),最大降雨强度(22.3 mm h -1 )和每月土壤侵蚀(0.25 Mg ha -1 月 -1 ),其中侵蚀风暴的持续时间,冻融周期,土壤为最小值水分含量和土壤侵蚀性(0.007 Mg h MJ -1 mm -1 )。这个时期包括收获和耕作耕作方式。次生侵蚀期从5月到6月为期两个月,呈现出最低的总和每月土壤流失量(0.10 Mg ha -1 月 -1 ),对应于由于生长期的最大阶段以及降雨和径流侵蚀力,最大降雨强度和土壤易蚀性的中间值,农作物被覆对土壤的最大保护($ C $因子= 0.05)。第三侵蚀期从十一月到四月,具有最小的降雨侵蚀力值(17.5 MJ mm ha -1 h -1 )和最大降雨强度(6.0 mm h < sup> -1 )具有最高的解冻循环次数,土壤含水量和土壤易蚀性(0.021 Mg h MJ -1 mm -1 )每月土壤流失的高值(0.24 Mg ha -1 月 -1 )。尽管三个侵蚀因子值的时间差异很大,但降雨侵蚀力,土壤易蚀性和覆盖管理因子之间的相互作用在第一和第三侵蚀时期的相似预测土壤流失量上也有解释。使用RUSLE模型的年土壤流失估算值(3.34 Mg ha -1 yr -1 )低于 137 Cs的实测值( 5.38 Mg ha -1 yr -1 ),这是由于在研究期间记录到的降水量较低。为了优化农业实践并促进保护脆弱的地中海农业系统的可持续策略,有必要将耕作推迟到10月,特别是在旱地农业地区。因此,农作物残留物的保护作用将一直持续到9月,这时降雨最多,径流侵蚀力和土壤流失最高。

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