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Identifying the roles of overland flow characteristics and vegetated buffer systems for nonpoint source pollution control.

机译:确定陆面水流特征和植被缓冲系统在非点源污染控制中的作用。

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Nonpoint source pollution (NPS) is a serious problem causing the degradation of soil and water quality. Concentrated overland flow is the primary transport mechanism for a large amount of NPS pollutants from hillslope areas to downslope areas in a watershed. Vegetated buffer systems (VBS) are one of the most sustainable best management systems for NPS pollution control. VBS mitigate the water's erosive energy using vegetation cover and enhanced infiltration and increase pollutant removal via sorption and vegetation uptake.; In this study, a soil erosion model to identify transitional overland flow regions was developed using the kinematic wave overland flow theory. Spatial data, including digital elevation models (DEMs), soil, and landcover, were used in the GIS-based model algorithm. The model was calibrated and validated using gully head locations in a large agricultural watershed, which were identified using 1-m aerial photography.; The model performance was better than two previous approaches; the overall accuracy of the nLS model was 72 to 87 % in one calibration subwatershed and the mean overall accuracy was 75 to 89 % in four validation subwatersheds, showing that the model well predicted potential transitional erosion areas at different-size watersheds. However, the user accuracy in calibration and validation was still low. To improve the user accuracy and study the effects of DEM resolution, finer resolution DEMs were generated from a differential GPS field survey and compared to the USGS 30-m DEMs. Two interpolation methods (IDW and TIN) were used to convert the point data to raster files. The results showed that 3-m DEMs produced the best prediction for gully head locations in a grassland hillslope. Two out of three gully head locations were identified using 3-m DEMs interpolated by both IDW and TIN. Only one gully head location was determined using 10-m DEMs interpolated by IDW. No locations were delineated using 30-m DEMs. Overall model accuracy of 3-m DEMs (IDW) was improved to 12 % in comparison to the previous study.; Results from a field-scale study determined the trapping efficiency of VBS was 99 % of TSS, 97 % of T-N, 88% of T-P, and 87 % of PO4 --P on average. A major factor affecting performance was infiltration. Infiltration differences between measured and modeled data significantly decreased in October as the vegetation senesced. Vegetation clipping did not influence the runoff ratio or water quality, indicating interception was not a primary factor in this experiment. A 60-cm DEMs, developed by ground survey, showed more detailed slope variation and flow direction, particularly for smoother buffer topography. Manning's kinematic method yielded more accurate times of concentration than Darcy-Weisbach method in the bias error analysis. Finally, information gained from this study can improve assessing soil erosion process due to concentrated overland flow as well as enhance soil and water quality from better VBS design.
机译:面源污染(NPS)是导致土壤和水质下降的严重问题。集中的陆上径流是大量NPS污染物从流域的山坡区到下坡区的主要传输机制。植被缓冲系统(VBS)是用于NPS污染控制的最可持续的最佳管理系统之一。 VBS利用植被覆盖减轻了水的侵蚀能,并增强了渗透,并通过吸收和吸收植被增加了污染物的去除。在这项研究中,使用运动波陆上水流理论开发了土壤侵蚀模型来识别过渡性陆上水流区域。基于GIS的模型算法中使用了空间数据,包括数字高程模型(DEM),土壤和土地覆盖物。对该模型进行了校准,并通过一个大型农业流域中的沟口位置进行了验证,该位置通过1米航拍确定。该模型的性能优于之前的两种方法。 nLS模型的总准确度在一个校准子集水区中为72%至87%,平均总准确度在四个验证子集水区中为75%至89%,这表明该模型很好地预测了不同大小集水区的潜在过渡侵蚀面积。但是,用户在校准和验证中的准确性仍然很低。为了提高用户准确性并研究DEM分辨率的影响,通过差分GPS现场调查生成了分辨率更高的DEM,并将其与USGS 30米DEM进行了比较。使用两种插值方法(IDW和TIN)将点数据转换为栅格文件。结果表明,3 m DEM对草地山坡上的沟谷位置产生了最佳预测。使用IDW和TIN插值的3-m DEM来确定三分之二的沟壑位置。使用IDW内插的10米DEM只能确定一个沟壑的位置。没有使用30米DEM划定位置。与以前的研究相比,3-m DEM(IDW)的整体模型精度提高到12%。一项现场规模研究的结果确定,VBS的捕获效率平均为99%的TSS,97%的T-N,88%的T-P和87%的PO4-P。影响性能的主要因素是渗透。随着植被的衰落,10月实测数据和模型数据之间的入渗差异显着降低。植被截留不影响径流比或水质,表明截留不是该实验的主要因素。通过地面勘测开发的60厘米DEM显示出更详细的坡度变化和流向,特别是对于更平滑的缓冲区地形。在偏差误差分析中,Manning的运动学方法比Darcy-Weisbach方法产生的浓缩时间更准确。最后,从这项研究中获得的信息可以改善对由于集中的陆流引起的土壤侵蚀过程的评估,并且可以通过更好的VBS设计来提高土壤和水质。

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