Department of Civil and Environmental Engineering, University of California, Davis, 1 Shields Ave, Davis, CA 95616, United States.
Department of Civil and Environmental Engineering, University of California, Davis, 1 Shields Ave, Davis, CA 95616, United States.
Sci Total Environ. 2018 Jun 1;626:244-254. doi: 10.1016/j.scitotenv.2018.01.004. Epub 2018 Feb 19.
California's interconnected water system is one of the most advanced water management systems in the world, and understanding of long-term trends in atmospheric and hydrologic behavior has increasingly being seen as vital to its future well-being. Knowledge of such trends is hampered by the lack of long-period observation data and the uncertainty surrounding future projections of atmospheric models. This study examines historical precipitation trends over the Shasta Dam watershed (SDW), which lies upstream of one of the most important components of California's water system, Shasta Dam, using a dynamical downscaling methodology that can produce atmospheric data at fine time-space scales. The Weather Research and Forecasting (WRF) model is employed to reconstruct 159years of long-term hourly precipitation data at 3km spatial resolution over SDW using the 20th Century Reanalysis Version 2c dataset. Trend analysis on this data indicates a significant increase in total precipitation as well as a growing intensity of extreme events such as 1, 6, 12, 24, 48, and 72-hour storms over the period of 1851 to 2010. The turning point of the increasing trend and no significant trend periods is found to be 1940 for annual precipitation and the period of 1950 to 1960 for extreme precipitation using the sequential Mann-Kendall test. Based on these analysis, we find the trends at the regional scale do not necessarily apply to the watershed-scale. The sharp increase in the variability of annual precipitation since 1970s is also detected, which implies an increase in the occurrence of extreme wet and dry conditions. These results inform long-term planning decisions regarding the future of Shasta Dam and California's water system.
加利福尼亚州相互关联的供水系统是世界上最先进的水资源管理系统之一,对大气和水文行为的长期趋势的了解越来越被视为其未来福祉的关键。由于缺乏长期观测数据以及对大气模型未来预测的不确定性,对这些趋势的了解受到阻碍。本研究使用动力降尺度方法,该方法可以在精细的时空尺度上产生大气数据,考察了位于加利福尼亚州供水系统最重要组成部分之一沙斯塔坝上游的沙斯塔坝流域(SDW)的历史降水趋势。使用 20 世纪再分析版本 2c 数据集,WRF 模型重建了 159 年的降水数据,空间分辨率为 3km,时间分辨率为每小时。对这些数据的趋势分析表明,总降水量显著增加,1、6、12、24、48 和 72 小时暴雨等极端事件的强度也在增加。使用顺序曼肯德尔检验发现,1851 年至 2010 年期间,年降水量的转折点和无显著趋势期为 1940 年,极端降水量的转折点和无显著趋势期为 1950 年至 1960 年。基于这些分析,我们发现区域尺度的趋势不一定适用于流域尺度。还检测到自 20 世纪 70 年代以来年降水量变化的急剧增加,这意味着极端干湿条件的发生频率增加。这些结果为沙斯塔坝和加利福尼亚州供水系统的未来规划决策提供了信息。