Water quality model output uncertainty as affected by spatial resolution of input data
Water quality model output uncertainty as affected by spatial resolution of input data
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DOI：
10.1111/j.1752-1688.2003.tb04420.x
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发表时间：
2003-08-01
影响因子：
2.4
通讯作者：
Nelson, MA
中科院分区：
文献类型：
--
作者：
Cotter, AS;Chaubey, I;Nelson, MA
用于参数化分布式参数水文/水质模型的输入 GIS 数据的分辨率可能会影响模型输出的不确定性，并影响模型结果在流域管理中的后续应用。在本研究中，我们评估了 DEM、土地利用和土壤数据的不同空间分辨率（30 x 30 m、100 x 100 m、150 x 150 m、200 x 200 m、300 x 300 m、500 x 500 m 和 1,000 x 1,000 m）对 SWAT 预测流量、沉积物、 NO3-N 和 TP 运输。输入包括测量的水文、气象和流域特征以及来自阿肯色州华盛顿县穆尔斯溪流域的水质数据。 SWAT 模型输出受输入 DEM 数据分辨率的影响最大。较粗的 DEM 数据分辨率导致流域面积和坡度的表征减少，坡度长度增加。流域内牧场、森林和城市地区的分布受到土地利用粗分辨率的显着影响，并导致预测的沉积物、NO3-N 和 TP 输出具有显着的不确定性。土壤数据分辨率对流量和 NO3-N 预测没有显着影响；然而，在 1,000 m 分辨率下，沉积物高估了 26%，TP 低预测了 26%。这可能是由于流域内各种水文土壤组（HSG）的相对分布变化所致。输入 GIS 数据实现模型输出误差低于 10% 的最小分辨率取决于感兴趣的输出变量。对于流量、沉积物、NO3-N 和 TP 预测，最小 DEM 数据分辨率应在 30 至 300 m 范围内，而最小土地利用和土壤数据分辨率应在 300 至 500 m 范围内。
Resolution of the input GIS data used to parameterize distributed-parameter hydrologic/water quality models may affect uncertainty in model outputs and impact the subsequent application of model results in watershed management. In this study we evaluated the impact of varying spatial resolutions of DEM, land use, and soil data (30 x 30 m, 100 x 100 m, 150 x 150 m, 200 x 200 m, 300 x 300 m, 500 x 500 m, and 1,000 x 1,000 m) on the uncertainty of SWAT predicted flow, sediment, NO3-N, and TP transport. Inputs included measured hydrologic, meteorological, and watershed characteristics as well as water quality data from the Moores Creek watershed in Washington County, Arkansas. The SWAT model output was most affected by input DEM data resolution. A coarser DEM data resolution resulted in decreased representation of watershed area and slope and increased slope length. Distribution of pasture, forest, and urban areas within the watershed was significantly affected at coarser resolution of land use and resulted in significant uncertainty in predicted sediment, NO3-N, and TP output. Soils data resolution had no significant effect on flow and NO3-N predictions; however, sediment was overpredicted by 26 percent, and TP was underpredicted by 26 percent at 1,000 m resolution. This may be due to change in relative distribution of various hydrologic soils groups (HSGs) in the watershed. Minimum resolution for input GIS data to achieve less than 10 percent model output error depended upon the output variable of interest. For flow, sediment, NO3-N, and TP predictions, minimum DEM data resolution should range from 30 to 300 m, whereas minimum land use and soils data resolution should range from 300 to 500 m.