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Seasonal dynamics of surface runoff in mountain grassland ecosystems differing in land use

机译:不同土地利用方式的高山草地生态系统地表径流的季节动态

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Better understanding of surface runoff quantity for distinct hydrological units becomes increasingly important as many rainfall-runoff models use static surface runoff coefficients and neglect key factors affecting ecohydrological dynamics, e.g. land cover and land use. Especially in small-scale alpine catchments, surface runoff and its contribution to mountain torrent runoff is frequently underestimated. In our study, the seasonal variability of surface runoff on abandoned areas and pastures in the alpine catchment 'Kaserstattalm' (Stubai Valley, Austria, Eastern Alps) was analyzed using a rain simulator along with soil water content (SWC) and soil water tension (SWT) measurements. Additionally, seasonal variability of soil physical and soil hydraulic properties were assessed. Analyzing more than 30 rainfall simulations on 10 m(2) plots at a rate of 90 mmh(-1) (equivalent to convective precipitation events with 100 years return period) revealed a mean surface runoff coefficient of 0.01 on abandoned areas and 0.18 on pastures. Regarding seasonal variability, relevant surface runoff was limited to pastures in autumn with a maximum runoff coefficient of 0.25. The field capacity (Fc) of all soils was found to be stable throughout the season. However, for pastures, cattle trampling led to a significant increase of dry bulk density (BD) of up to +0.33 g cm(-3) (p <= 0.01) in the top 0.1 m of the soil which is attributed to a compaction of macropores. Although measured infiltration rates decreased by more than 60%. BD could 'recover' during the winter season presumably due to freezing-and-thawing cycles and bioturbation processes decreasing soil compaction. This study highlights that impacts of land-use changes on soil physical properties make surface runoff difficult to model. Moreover, dynamic and interactive behaviour of soil parameters have to be considered in order to make realistic assessments and accurate predictions of surface runoff rates. Finally, land-use effects on runoff formation in general and significance at catchment scale are discussed.
机译:由于许多降雨-径流模型使用静态地表径流系数并且忽略了影响生态水文动力学的关键因素,例如更好地了解不同水文单位的地表径流量变得越来越重要。土地覆盖和土地利用。特别是在小型高山流域,地表径流及其对山洪径流的贡献经常被低估。在我们的研究中,使用降雨模拟器对高山流域``Kaserstattalm''(Stubai谷,奥地利,东阿尔卑斯山)的荒漠地区和牧场的地表径流的季节性变化进行了分析,并结合了土壤水分(SWC)和土壤水分张力( SWT)测量。此外,评估了土壤物理和土壤水力特性的季节性变化。以90 mmh(-1)的速率分析10 m(2)地块上的30多个降雨模拟(相当于回归期为100年的对流降水事件),发现荒地的平均地表径流系数为0.01,牧场的平均地表径流系数为0.18 。关于季节变化,相关的地表径流仅限于秋季的牧场,最大径流系数为0.25。在整个季节中,发现所有土壤的田间持水量(Fc)稳定。但是,对于牧场,践踏牛会导致土壤顶部0.1 m的干容重(BD)显着增加,高达+0.33 g cm(-3)(p <= 0.01)。大孔。尽管测得的渗透率下降了60%以上。 BD可能在冬季“恢复”,这可能是由于冻融循环和生物扰动过程降低了土壤致密性。这项研究强调,土地利用变化对土壤物理性质的影响使地表径流难以建模。此外,必须考虑土壤参数的动态和交互行为,以便对地表径流率进行实际评估和准确预测。最后,讨论了流域尺度上土地利用对径流形成的总体影响和意义。

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