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Hydrologic Impacts of Climate Change in the Upper Clackamas River Basin, Oregon, USA

机译:美国俄勒冈州克拉克马斯河上游气候变化的水文影响

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摘要

The Pacific Northwest of the USA is dependent on seasonal snowmelt for water resources that support its economy and aquatic ecosystems. Increased temperatures resulting from higher concentrations of atmospheric greenhouse gases may cause disruptions to these resources because of reductions in the annual snowpack and the earlier occurrence of seasonal snowmelt. We applied a Geographic Information System (GIS)-based distributed hydrologic model at a monthly scale to assess the effects of future climate change on runoff from the Upper Clackamas River Basin (UCB; located near Portland, Oregon, USA). Once validated using historic flow data, the model was run for 2 future time periods (2010–2039 and 2070–2099) using climate change simulations from 2 global circulation modelling groups (HadCM2 from the Hadley Centre for Climate Prediction and Research, and CGCM1 from the Canadian Centre for Climate Modelling and Analysis) as inputs. The model runs projected that mean peak snowpack in the study area will drop dramatically (36 to 49% by 2010–2039, and 83 to 88% by 2070–2099), resulting in earlier runoff and diminished spring and summer flows. Increases in mean winter runoff by 2070–2099 vary from moderate (13.7%) to large (46.4%), depending on the changes to precipitation projected by the general circulation models (GCMs). These results are similar to those of other studies in areas dependent on snowpack for seasonal runoff, but the reductions to snowpack are more severe in this study than in similar studies of the entire Columbia River Basin, presumably because the elevations of much of the Upper Clackamas Basin are near the current mid-winter snow line.
机译:美国的西北太平洋地区依赖季节性融雪来获得支持其经济和水生生态系统的水资源。由于年度降雪量减少和季节性融雪的较早发生,大气温室气体浓度升高导致温度升高可能导致这些资源中断。我们每月应用基于地理信息系统(GIS)的分布式水文模型来评估未来气候变化对上游克拉克马斯河流域(UCB;位于美国俄勒冈州波特兰市附近)径流的影响。一旦使用历史流量数据进行了验证,就可以使用两个全球环流建模小组(Hadley气候预测与研究中心的HadCM2和来自哈德利气候预测与研究中心的CGCM1)的气候变化模拟,在两个未来时间段(2010-2039和2070-2099)中运行该模型(加拿大气候建模与分析中心)作为输入。该模型运行预测,研究区域的平均积雪量将急剧下降(到2010-2039年,降雪量为36%至49%,到2070-2099年,降雪量为83%至88%),从而导致径流提前,春季和夏季流量减少。到2070年至2099年,冬季平均径流量的增加幅度从中度(13.7%)到较大(46.4%)不等,这取决于一般循环模型(GCM)预测的降水变化。这些结果与其他依赖季节性积雪的地区的研究结果相似,但是与整个哥伦比亚河流域的类似研究相比,该研究中积雪的减少更为严重,这可能是因为上克拉克马斯的大部分海拔升高盆地都在当前的冬季中雪线附近。

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    Graves David; Chang Heejun;

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  • 年度 2007
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