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Impacts of climate change on streamflow in the Upper Mississippi River Basin: A regional climate model perspective

机译:气候变化对密西西比河上游流域的流量的影响:区域气候模型的观点

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摘要

Impact of climate change on streamflow in the Upper Mississippi River Basin is evaluated by use of a regional climate model (RCM) coupled with a hydrologic model, Soil and Water Assessment Tool (SWAT). The RCM we used resolves, at least partially, some fine-scale dynamical processes that are important contributors to precipitation in this region and that are not well simulated by global models. The SWAT model was calibrated and validated against measured streamflow data using observed weather data and inputs from the U.S. Environmental Protection Agency Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) geographic information systems/database system. Combined performance of SWAT and RCM was examined using observed weather data as lateral boundary conditions in the RCM. The SWAT and RCM performed well, especially on an annual basis. Potential impacts of climate change on water yield and other hydrologic budget components were then quantified by driving SWAT with current and future scenario climates. Twenty-one percent increase in future precipitation simulated by the RCM produced 18% increase in snowfall, 51% increase in surface runoff, and 43% increase in groundwater recharge, resulting in 50% net increase in total water yield in the Upper Mississippi River Basin on an annual basis. Uncertainty analysis showed that the simulated change in streamflow substantially exceeded model biases of the combined modeling system (with largest bias of 18%). While this does not necessarily give us high confidence in the actual climate change that will occur, it does demonstrate that the climate change “signal” stands out from the climate modeling (global plus regional) and impact assessment modeling (SWAT) “noise.”
机译:通过使用区域气候模型(RCM)结合水文模型,土壤和水评估工具(SWAT),评估了密西西比河上游流域气候变化的影响。我们使用的RCM至少部分地解决了一些精细的动力学过程,这些过程是该地区降水的重要因素,并且没有被全球模型很好地模拟。使用观察到的天气数据和来自美国环境保护局更好的评估科学集成点和非点源(BASINS)地理信息系统/数据库系统的输入,对SWAT模型进行了校准,并针对实测流量数据进行了验证。使用观察到的天气数据作为RCM中的横向边界条件,对SWAT和RCM的综合性能进行了检查。特警和RCM表现良好,尤其是每年。然后,通过利用当前和未来情景气候下的SWAT来量化气候变化对水产量和其他水文预算组成部分的潜在影响。 RCM模拟的未来降水量增加了21%,降雪量增加了18%,地表径流量增加了51%,地下水补给量增加了43%,密西西比河上游流域的总水净产量增加了50%每年。不确定性分析表明,模拟的流量变化大大超过了组合建模系统的模型偏差(最大偏差为18%)。尽管这不一定使我们对将要发生的实际气候变化抱有高度信心,但这确实表明,气候变化“信号”在气候模型(全球和区域)和影响评估模型(SWAT)“噪声”中脱颖而出。

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