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使用多个 SWAT 模型模拟内部流域过程。

Simulating internal watershed processes using multiple SWAT models.

机构信息

Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH, USA.

Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH, USA; Ohio State University Translational Data Analytics Institute, Columbus, OH, USA.

出版信息

Sci Total Environ. 2021 Mar 10;759:143920. doi: 10.1016/j.scitotenv.2020.143920. Epub 2020 Dec 3.

Abstract

The need for effective water quality models to help guide management and policy, and extend monitoring information, is at the forefront of recent discussions related to watershed management. These models are often calibrated and validated at the basin outlet, which ensures that models are capable of evaluating basin scale hydrology and water quality. However, there is a need to understand where these models succeed or fail with respect to internal process representation, as these watershed-scale models are used to inform management practices and mitigation strategies upstream. We evaluated an ensemble of models-each calibrated to in-stream observations at the basin outlet-against discharge and nutrient observations at the farm field scale to determine the extent to which these models capture field-scale dynamics. While all models performed well at the watershed outlet, upstream performance varied. Models tended to over-predict discharge through surface runoff and subsurface drainage, while under-predicting phosphorus loading through subsurface drainage and nitrogen loading through surface runoff. Our study suggests that while models may be applied to predict impacts of management at the basin scale, care should be taken in applying the models to evaluate field-scale management and processes in the absence of data that can be incorporated at that scale, even with the use of multiple models.

摘要

需要有效的水质模型来帮助指导管理和政策,并扩展监测信息,这是最近与流域管理相关讨论的前沿。这些模型通常在流域出口处进行校准和验证,以确保模型能够评估流域尺度的水文学和水质。然而,需要了解这些模型在内部过程表示方面的成功或失败之处,因为这些流域尺度模型被用于为上游的管理实践和缓解策略提供信息。我们评估了一组模型——每个模型都根据流域出口处的河道观测进行了校准——与农田尺度的流量和养分观测进行了对比,以确定这些模型在多大程度上能够捕捉到田间尺度的动态。虽然所有模型在流域出口处的表现都很好,但上游的表现却有所不同。模型往往通过地表径流和地下排水来过高地预测流量,而通过地下排水来过低地预测磷负荷,通过地表径流来过低地预测氮负荷。我们的研究表明,虽然模型可以应用于预测管理对流域尺度的影响,但在缺乏可在该尺度上纳入的数据的情况下,应用模型来评估田间尺度的管理和过程时应谨慎,即使使用多个模型也是如此。

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