首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Hadgem2_ES的气候变化对金华江流域枯水变化的影响评估
引用本文:高希超,马冲,朱冠天,朱仟,许月萍.基于Hadgem2_ES的气候变化对金华江流域枯水变化的影响评估[J].中山大学学报(自然科学版),2014,53(2):137-141.
作者姓名:高希超  马冲  朱冠天  朱仟  许月萍
作者单位:1.浙江大学建筑工程学院水文水资源研究所, 浙江杭州 310058; 
2.浙江省水文局,浙江杭州 310009
基金项目:科技部国际合作项目(2010DFA24320);国家自然科学基金资助项目(51379183,50809058)
摘    要:气候变化引发降雨径流等水文要素的变化已经成为学界的共识,浙江省内近年来频发的气候极端事件更是引起众多学者的重视。枯水水文作为水文学的一部分,分析其变化有其积极的实际意义。选取了金华江流域1975-2004年的日降水、温度和径流资料,使用多站统计降尺度方法,基于最新CMIP5中的Hadgem2_ES模型,利用GR4J水文模型模拟了未来(2071-2100年)的径流,重点分析了几个重要枯水指数7Q10和30Q10的变化。结果表明,未来这两个指数都有明显的上升趋势,即气候变化可能缓和金华江流域未来的枯水情况。

关 键 词:气候变化  多站统计降尺度  枯水  GRJ
收稿时间:2013-11-04;

Hadgem2_ES-based Impact of Climate Change on Low Flow of the Jinhua River Basin
GAO Xichao,MA Chong,ZHU Guantian,ZHU Qian,XU Yueping.Hadgem2_ES-based Impact of Climate Change on Low Flow of the Jinhua River Basin[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2014,53(2):137-141.
Authors:GAO Xichao  MA Chong  ZHU Guantian  ZHU Qian  XU Yueping
Institution:1. Institute of Hydrology and Water Resources Engineering, Zhejiang University, Hangzhou 310058, China;
 2. Bureau of Hydrology, Hangzhou 310009,China
Abstract:It is a common view that climate change has influenced hydrological elements such as precipitation, temperature and river flow. Zhejiang Province has witnessed the climate extremes with high frequency in recent years and it has drawn a lot attention of hydrologists. Low flow hydrology is a very important part of hydrology. It is quite meaningful to analyze the low flow. The historical daily precipitation, temperature and flow in 1975-2004 in the Jinhua River Basin are used as baseline data in this study. Climate projections from Hadgem2_ES of CMIP5 for 2070-2100 are downscaled to station scale projections based on a multi site statistical downscaling model GIST. The flows in future period are generated by a lumped hydrological model GR4J. Two typical low flow indices 7Q10 and 30Q10 are calculated and compared. The results show that the two indices have obvious rising trends, implying a better situation in low flow periods under climate change.
Keywords:climate change  low flow  GR4J model  multi-site statistical downscaling
本文献已被 CNKI 等数据库收录!
点击此处可从《中山大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《中山大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号