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Hydrologic modeling and evaluation of Best Management Practice scenarios for the Grand River watershed in Southern Ontario

机译:安大略省南部大河流域最佳管理实践方案的水文建模和评估

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摘要

The Grand River is the largest river in Southern Ontario feeding Lake Erie with water, sediment, and nutrients. Understanding the watershed hydrological processes is crucial to support decision making on reducing non point source pollution from the watershed into Lake Erie. In this study, the Soil and Water Assessment Tool (SWAT) was adapted to Canadian conditions and applied to the Grand River watershed in Southern Ontario to simulate hydrologic processes based on available geospatial, climate, management, flow, and water quality data. The SWAT was calibrated based on flow, sediment, and nutrient concentrations at eight flow gauging stations and seven water quality stations. The calibrated model was then applied to evaluate the potential effects of Best Management Practices (BMPs) including nutrient management, buffer strip, cover crop, and wetland restoration on water quantity and water quality in the watershed. The evaluated results showed that the BMPs of nutrient management and wetland restoration have more significant impacts on nutrient reduction at the watershed outlet to Lake Erie based on the BMP implementation and extent that were applied in this study. The SWAT modeling, findings, challenges, and recommendations for future research in the Grand River watershed are also discussed in this paper. (C) 2016 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.
机译:格兰德河是安大略省南部最大的河流,为伊利湖提供水,沉积物和养分。了解流域的水文过程对于减少从流域到伊利湖的非点源污染的决策支持至关重要。在这项研究中,土壤和水评估工具(SWAT)适应了加拿大的条件,并应用于安大略南部南部的大河流域,根据可用的地理空间,气候,管理,流量和水质数据模拟水文过程。根据8个流量监测站和7个水质站的流量,沉积物和营养物浓度对SWAT进行了校准。然后将校准后的模型应用于评估最佳管理实践(BMP)的潜在影响,包括养分管理,缓冲带,覆盖作物和湿地恢复对流域水量和水质的影响。评价结果表明,基于BMP的实施和应用的程度,营养管理和湿地恢复的BMP对伊利湖流域出口处的养分减少有更大的影响。本文还讨论了SWAT模型,发现,挑战以及对格兰德河流域未来研究的建议。 (C)2016年国际大湖研究协会。由Elsevier B.V.发布。保留所有权利。

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