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通过耦合气象、水文和水温模型来识别河流温度变化。

Identifying stream temperature variation by coupling meteorological, hydrological, and water temperature models.

作者信息

Tang Chunling, Garcia Valeria

机构信息

Office of Research, U.S. Environmental Protection Agency, Durham, North Carolina, USA.

Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut, USA.

出版信息

J Am Water Resour Assoc. 2023 Aug 1;59(4):665-680. doi: 10.1111/1752-1688.13113.

Abstract

In this study, we demonstrate a physically based semi-Lagrangian water temperature model known as the River Basin Model (RBM) coupled with the Variable Infiltration Capacity (VIC) hydrological model and Weather Research & Forecasting Model in the Mississippi River Basin (MRB). The results of this coupling compare favorably with observed water temperature data available from six river gages located in the MRB. Further sensitivity analysis indicates that the mean water temperatures may increase by 1.3, 1.5, and 1.8°C in northern, central, and southern MRB zones under a hypothetical uniform air temperature increase of 3.0°C. If air temperatures increase uniformly by 6.0°C in this scenario, then water temperatures are projected to increase by 3.3, 3.5, and 4.0°C. Lastly, downscaled air temperatures from a global climate model are used to drive the coupled VIC and RBM model from 2020 to 2099. Average stream temperatures from 2020 to 2099 increase by 1.0 to 8.0°C above 1950 to 2010 average water temperatures, with non-uniform increases along the river. In some portions of the MRB, stream temperatures could increase above survival thresholds for several native fish species, which are critical components of the stream ecosystem. In addition, increased water temperatures interact with nutrient loadings from sources throughout the MRB, which is expected to exacerbate harmful algal blooms and dead zones in the Gulf of Mexico.

摘要

在本研究中,我们展示了一种基于物理的半拉格朗日水温模型,即流域模型(RBM),它与可变下渗能力(VIC)水文模型以及密西西比河流域(MRB)的天气研究与预报模型相耦合。这种耦合的结果与MRB中六个河流测量站的实测水温数据相比表现良好。进一步的敏感性分析表明,在假设气温均匀升高3.0°C的情况下,MRB北部、中部和南部区域的平均水温可能分别升高1.3°C、1.5°C和1.8°C。如果在这种情况下气温均匀升高6.0°C,那么预计水温将分别升高3.3°C、3.5°C和4.0°C。最后,利用全球气候模型降尺度后的气温来驱动耦合的VIC和RBM模型,时间跨度为2020年至2099年。2020年至2099年的平均河流温度比1950年至2010年的平均水温升高1.0至8.0°C,且沿河流的升高情况不均匀。在MRB的一些区域,河流温度可能会升高到几种本地鱼类物种的生存阈值以上,而这些鱼类是河流生态系统的关键组成部分。此外,水温升高与MRB各地来源的养分负荷相互作用,预计这将加剧墨西哥湾的有害藻华和死区。

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