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EVALUATION OF THE SWAT MODEL’S SEDIMENT AND NUTRIENT COMPONENTS IN THE PIEDMONT PHYSIOGRAPHIC REGION OF MARYLAND

机译:马里兰州皮德蒙自然地理区特警模型的沉积物和营养成分评估

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Mathematical watershed-scale models are among the best tools available for analyzing water resources (quantity and quality) issues in spatially diverse watersheds since continuous water quality monitoring is expensive and spatially impractical in mixed land use watersheds. However, models without appropriate validation may lead to misconceptions and erroneous predictions. This study used six years of hydrologic and water quality data to calibrate and validate the capability of SWAT (Soil and Water Assessment Tool) model in assessing nonpoint source pollution for a 346 ha watershed in the Piedmont physiographic region. The evaluation of the hydrology component of SWAT completed in a previous study pointed out that SWAT has no mechanism to account for subsurface flow contributions from outside the watershed. For this evaluation, all nutrient loadings leaving the watershed were adjusted to subtract the chemical transport via subsurface flow contributions from outside the watershed. Evaluation results indicated a strong agreement between yearly measured and simulated data for sediment, nitrate, and soluble phosphorus loadings. However, simulations of monthly sediment and nutrient loadings were poor. Overall, it was concluded that SWAT is a reasonable watershed-scale model for long-term simulation of different management scenarios. However, its use on storm-by-storm or even on monthly basis may not be appropriate for watersheds with similar physiography and size. Additionally, ignoring the subsurface contribution of water and chemicals from outside the watershed into the watershed aquifer could cause significant errors in model prediction
机译:数学流域尺度模型是可用于分析空间不同流域中水资源(数量和质量)问题的最佳工具之一,因为连续水质监测成本高昂,并且在混合土地利用流域中在空间上不切实际。但是,没有适当验证的模型可能会导致误解和错误的预测。这项研究使用了六年的水文和水质数据来校准和验证SWAT(土壤和水评估工具)模型在评估皮埃蒙特自然地理区346公顷流域的非点源污染方面的能力。在先前的研究中完成的对SWAT水文组成部分的评估指出,SWAT没有机制可以解释流域外部地下流量的贡献。为了进行此评估,调整了离开分水岭的所有养分负荷,以通过分水岭外部的地下流量贡献减去化学迁移。评估结果表明,在沉积物,硝酸盐和可溶性磷含量的年度测量数据与模拟数据之间有很强的一致性。但是,每月沉积物和养分含量的模拟很差。总体而言,得出的结论是,SWAT是长期模拟不同管理方案的合理分水岭规模模型。但是,逐个风暴甚至每月一次使用它可能不适合具有相似地貌和大小的流域。此外,忽略水和化学物质从分水岭外部到分水岭含水层的地下贡献可能会导致模型预测中的重大误差

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