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首页> 外文期刊>The Science of the Total Environment >Long-term, process-based, continuous simulations for a cluster of six smaller, nested rangeland watersheds near Tombstone, AZ (USA): Establishing a baseline for event-based runoff and sediment yields
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Long-term, process-based, continuous simulations for a cluster of six smaller, nested rangeland watersheds near Tombstone, AZ (USA): Establishing a baseline for event-based runoff and sediment yields

机译:对位于亚利桑那州托姆斯通附近的六个较小的嵌套牧场流域的集群进行基于过程的长期连续模拟(美国):为基于事件的径流和沉积物产量建立基准

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Accurately predicting long-term, process-based runoff and sediment yields measured at the outlet of even small watersheds can be challenging. The assessments following careful parameter determination enable establishing a baseline for local land management to assess policy implementations and rehabilitation especially under climate or land use/cover changes. Process-based, continuous models have demonstrated their advantage of representing event-based hydrological responses at smaller spatial and temporal scales. In this study, the Geospatial interface for the Water Erosion Prediction Project (WEPP) is validated for a series six, neighboring, nested subwatersheds (101 to 106) at Lucky Hills, Walnut Gulch Experimental Watershed (WGEW), Tombstone, Arizona (USA). The primary objective of this study is to assess short-term parameterization and long-term verification and simulation validation of GeoWEPP based on 55 years of runoff and sediment yields for six subwatersheds. The effective hydraulic conductivity (K_(eff)) parameter is adjusted based on runoff observed in watershed 101 using a research-grade 1 m-Digital Elevation Model (DEM). The performance of runoff simulated generated by an aggregated 5 m-resolution DEM lead to better results in contrast to using the original 1 m- or aggregated 3 m-resolution. Since there are no sediment yield observations for that watershed, the similar sized, neighboring watershed 102 and a publicly available DEM were used to parameterize critical shear. The short-term verification of K_(eff) as well as the long-term verification of K_(eff) and critical shear stress indicate that both parameters generated based on one subwatershed can be used to accurately predict the runoff in all other watersheds in the study area. However, the results have a tendency to slightly over-estimate runoff, and become more significant with the distance from the rainfall and runoff gauges for the watershed that was used for the K_(eff) parameter estimation. For sediment yields, the results indicate that the short-term parameterization of shear stress based on one watershed can potentially lead to significantly different results for neighboring watersheds. The results are the baseline for spatially distributed shear stress and channel erosion parameter validation and impact assessment for future climate and land use changes.
机译:准确地预测即使在很小的流域出口处所测得的基于过程的长期径流量和沉积物产量也可能具有挑战性。仔细确定参数后进行的评估能够为当地土地管理建立基线,以评估政策的实施和恢复,尤其是在气候或土地使用/覆盖变化下。基于过程的连续模型已经证明了其在较小的时空尺度上表示基于事件的水文响应的优势。在本研究中,水蚀预测项目(WEPP)的地理空间接口已针对位于美国亚利桑那州墓碑,核桃谷实验流域(WGEW)的幸运山(Lucky Hills)的六个相邻的嵌套嵌套分水岭(101至106)进行了验证。 。这项研究的主要目的是根据六个子流域的55年径流和沉积物产量,评估GeoWEPP的短期参数化以及长期验证和模拟验证。使用研究级的1 m数字高程模型(DEM),基于在流域101中观察到的径流来调整有效水力传导率(K_(eff))参数。与使用原始的1 m分辨率或聚合的3 m分辨率相比,由聚合的5 m分辨率的DEM生成的模拟径流性能可获得更好的结果。由于没有关于该流域的沉积物产量观察,因此使用相似大小的相邻流域102和可公开获得的DEM来参数化临界剪切力。 K_(eff)的短期验证以及K_(eff)和临界剪应力的长期验证表明,基于一个子流域生成的两个参数都可以用来准确预测该流域所有其他流域的径流学习区。但是,结果倾向于略微高估径流量,并且随着与用于K_(eff)参数估计的流域的降雨和径流规的距离的增加,结果变得更加重要。对于沉积物产量,结果表明,基于一个流域的剪应力的短期参数化可能会导致相邻流域的结果截然不同。结果是空间分布的剪应力和河道侵蚀参数验证以及未来气候和土地利用变化影响评估的基准。

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