• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

沙斯塔大坝流域总降水量和极端降水量的长期趋势分析。

Long-term trend analysis on total and extreme precipitation over Shasta Dam watershed.

机构信息

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.

出版信息

Sci Total Environ. 2018 Jun 1;626:244-254. doi: 10.1016/j.scitotenv.2018.01.004. Epub 2018 Feb 19.

DOI:10.1016/j.scitotenv.2018.01.004
PMID:29339266
Abstract

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.

摘要

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。

相似文献

1
Long-term trend analysis on total and extreme precipitation over Shasta Dam watershed.沙斯塔大坝流域总降水量和极端降水量的长期趋势分析。
Sci Total Environ. 2018 Jun 1;626:244-254. doi: 10.1016/j.scitotenv.2018.01.004. Epub 2018 Feb 19.
2
Trend analysis of watershed-scale precipitation over Northern California by means of dynamically-downscaled CMIP5 future climate projections.通过动态降尺度的 CMIP5 未来气候预测对北加州流域尺度降水的趋势分析。
Sci Total Environ. 2017 Aug 15;592:12-24. doi: 10.1016/j.scitotenv.2017.03.086. Epub 2017 Mar 12.
3
Evaluation of physical parameterizations for atmospheric river induced precipitation and application to long-term reconstruction based on three reanalysis datasets in Western Oregon.评估大气河流诱发降水的物理参数化,并将其应用于俄勒冈州西部基于三个再分析数据集的长期重建。
Sci Total Environ. 2019 Mar 25;658:570-581. doi: 10.1016/j.scitotenv.2018.12.214. Epub 2018 Dec 16.
4
Assessment of 21st century drought conditions at Shasta Dam based on dynamically projected water supply conditions by a regional climate model coupled with a physically-based hydrology model.基于区域气候模型与基于物理的水文模型耦合动态预测供水条件评估沙斯塔大坝 21 世纪干旱状况。
Sci Total Environ. 2017 May 15;586:197-205. doi: 10.1016/j.scitotenv.2017.01.202. Epub 2017 Feb 3.
5
Climate change simulation and trend analysis of extreme precipitation and floods in the mesoscale Rur catchment in western Germany until 2099 using Statistical Downscaling Model (SDSM) and the Soil & Water Assessment Tool (SWAT model).利用统计降尺度模型(SDSM)和土壤和水评估工具(SWAT 模型)对德国西部中尺度鲁尔流域的极端降水和洪水进行气候变化模拟及趋势分析,预测至 2099 年。
Sci Total Environ. 2022 Sep 10;838(Pt 1):155775. doi: 10.1016/j.scitotenv.2022.155775. Epub 2022 May 13.
6
Spatiotemporal trends in mean and extreme climate variables over 1981-2020 in Meki watershed of central rift valley basin, Ethiopia.1981 - 2020年埃塞俄比亚中部裂谷盆地梅基流域平均和极端气候变量的时空趋势
Heliyon. 2022 Nov 19;8(11):e11684. doi: 10.1016/j.heliyon.2022.e11684. eCollection 2022 Nov.
7
Future climate change impact assessment of watershed scale hydrologic processes in Peninsular Malaysia by a regional climate model coupled with a physically-based hydrology modelo.采用区域气候模型与基于物理的水文模型耦合方法对马来西亚半岛流域尺度水文过程进行未来气候变化影响评估。
Sci Total Environ. 2017 Jan 1;575:12-22. doi: 10.1016/j.scitotenv.2016.10.009. Epub 2016 Oct 8.
8
Future precipitation increase from very high resolution ensemble downscaling of extreme atmospheric river storms in California.基于极高分辨率集合降尺度法对加利福尼亚极端大气河流风暴未来降水增加情况的研究
Sci Adv. 2020 Jul 15;6(29):eaba1323. doi: 10.1126/sciadv.aba1323. eCollection 2020 Jul.
9
Atmospheric rivers impact California's coastal water quality via extreme precipitation.大气河流通过极端降水影响加利福尼亚州的沿海水质。
Sci Total Environ. 2019 Jun 25;671:488-494. doi: 10.1016/j.scitotenv.2019.03.318. Epub 2019 Mar 21.
10
The water footprint of California's energy system, 1990-2012.加利福尼亚州能源系统的水资源足迹,1990-2012 年。
Environ Sci Technol. 2015 Mar 17;49(6):3314-21. doi: 10.1021/es505034x. Epub 2015 Mar 4.

引用本文的文献

1
Hybrid physical-statistical framework for seasonal streamflow forecasting in the Upper Feather River Basin, California.加利福尼亚州羽河上游流域季节性径流预测的混合物理 - 统计框架
Sci Rep. 2025 Aug 30;15(1):31968. doi: 10.1038/s41598-025-15932-7.
2
Long-term variability of extreme precipitation with WRF model at a complex terrain River Basin.基于WRF模型对复杂地形流域极端降水的长期变异性研究
Sci Rep. 2025 Jan 2;15(1):156. doi: 10.1038/s41598-024-84076-x.
3
Influences of vertical differences in population emigration on mountainous vegetation greenness: A case study in the Taihang Mountains.
人口外迁垂直分异对山地植被绿度的影响:以太行山区为例。
Sci Rep. 2018 Nov 16;8(1):16954. doi: 10.1038/s41598-018-35108-w.