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SWAT: model use, calibration, and validation. (Special Issue: Model use, calibration, and validation.)

机译:特警:模型的使用,校准和验证。 (特刊:模型的使用,校准和验证。)

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摘要

SWAT (Soil and Water Assessment Tool) is a comprehensive, semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration. Several calibration techniques have been developed for SWAT, including manual calibration procedures and automated procedures using the shuffled complex evolution method and other common methods. In addition, SWAT-CUP was recently developed and provides a decision-making framework that incorporates a semi-automated approach (SUFI2) using both manual and automated calibration and incorporating sensitivity and uncertainty analysis. In SWAT-CUP, users can manually adjust parameters and ranges iteratively between autocalibration runs. Parameter sensitivity analysis helps focus the calibration and uncertainty analysis and is used to provide statistics for goodness-of-fit. The user interaction or manual component of the SWAT-CUP calibration forces the user to obtain a better understanding of the overall hydrologic processes (e.g., baseflow ratios, ET, sediment sources and sinks, crop yields, and nutrient balances) and of parameter sensitivity. It is important for future calibration developments to spatially account for hydrologic processes; improve model run time efficiency; include the impact of uncertainty in the conceptual model, model parameters, and measured variables used in calibration; and assist users in checking for model errors. When calibrating a physically based model like SWAT, it is important to remember that all model input parameters must be kept within a realistic uncertainty range and that no automatic procedure can substitute for actual physical knowledge of the watershed.
机译:SWAT(土壤和水评估工具)是一个综合的,半分布式的流域模型,需要大量输入参数,这使模型参数设置和校准变得复杂。已经为SWAT开发了几种校准技术,包括使用改组的复杂进化方法和其他常用方法的手动校准程序和自动程序。此外,SWAT-CUP是最近开发的,它提供了一个决策框架,该框架结合了使用手动和自动校准的半自动化方法(SUFI2),并结合了灵敏度和不确定性分析。在SWAT-CUP中,用户可以在自动校准运行之间迭代地手动调整参数和范围。参数灵敏度分析有助于集中进行校准和不确定性分析,并用于提供拟合优度的统计信息。 SWAT-CUP校准的用户交互或手动操作迫使用户对整体水文过程(例如基流比,ET,沉积物源和汇,作物产量和营养平衡)和参数敏感性有更好的了解。对于未来的校准发展,在空间上考虑水文过程很重要;提高模型运行时间效率;包括概念模型中不确定性的影响,模型参数以及用于校准的测量变量;并协助用户检查模型错误。在校准像SWAT这样的基于物理的模型时,重要的是要记住,所有模型输入参数必须保持在实际的不确定性范围内,并且没有任何自动程序可以代替分水岭的实际物理知识。

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