气候变化研究进展 ›› 2020, Vol. 16 ›› Issue (6): 690-705.doi: 10.12006/j.issn.1673-1719.2019.207

• 气候系统变化 • 上一篇    下一篇

长江流域径流对全球升温1.5℃与2.0℃的响应

徐文馨1,2(), 陈杰1,2(), 顾磊1,2, 朱碧莹1,2, 专美佳1,2   

  1. 1 武汉大学水资源与水电工程科学国家重点实验室,武汉 430072
    2 武汉大学海绵城市建设水系统科学湖北省重点实验室,武汉 430072
  • 收稿日期:2019-09-09 修回日期:2019-11-04 出版日期:2020-11-30 发布日期:2020-12-03
  • 通讯作者: 陈杰
  • 作者简介:徐文馨,女,硕士研究生,1305102217@qq.com
  • 基金资助:
    国家重点研发计划课题(2017YFA0603704);国家自然科学基金(51779176);国家自然科学基金(51539009)

Runoff response to 1.5℃ and 2.0℃ global warming for the Yangtze River basin

XU Wen-Xin1,2(), CHEN Jie1,2(), GU Lei1,2, ZHU Bi-Ying1,2, ZHUAN Mei-Jia1,2   

  1. 1 State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
    2 Hubei Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan 430072, China
  • Received:2019-09-09 Revised:2019-11-04 Online:2020-11-30 Published:2020-12-03
  • Contact: CHEN Jie

摘要:

全球变暖影响着以流域径流要素为主导的水文水资源系统的变化。长江流域未来水资源量的时空分布对长江大保护与长江经济带的发展意义重大。为探究全球升温1.5℃和2.0℃对长江流域径流变化的影响,使用基于偏差校正的气候模式集合数据驱动两参数月水量平衡模型,比较两种升温情景下径流量的响应差异。结果表明:基于偏差校正的气候模式集合数据可以较好地代表长江流域历史时期(1976—2005年)的年平均降水和年平均蒸散发情势。两参数月水量平衡模型与参数区域化方法相结合能较好地模拟长江流域各子流域的月径流量。升温1.5℃时,无论是年径流量还是季节径流量均呈上升趋势,与历史时期相比,50%以上三级子流域的增幅超过5%;升温2.0℃时,增幅超过8%。这表明升温2.0℃情景下长江流域水资源量将进一步增加。相对于历史时期,升温1.5℃与2.0℃情景下长江流域北部降水量增幅较大;径流量增幅分布格局基本与降水量一致。汉江流域是全流域径流量增幅最显著的区域。

关键词: 升温1.5℃, 升温2.0℃, 长江流域, 偏差校正法, 全球气候模式, 两参数月水量平衡模型

Abstract:

Global warming impacts spatial and temporal distribution of hydrology and water resources. Understanding the spatial and temporal distribution characteristics of future water resources variations is of great significance for the protection and development of the Yangtze River basin. In this study, bias corrected outputs of a multi-model ensemble were used to drive a two-parameter water balance model to investigate the runoff responses to 1.5℃ and 2.0℃ global warming targets as introduced by The Paris Agreement for the Yangtze River basin. The results showed that: (1) The bias corrected outputs of the multi-model ensemble have good agreement with observed annual mean precipitation and potential evapotranspiration patterns of the Yangtze River basin. (2) The two-parameter water balance model combining with parameter regionalization show reasonable performance in simulating monthly runoff in the Yangtze River basin. (3) Both the annual and seasonal runoffs are projected to increase under the 1.5℃ global warming. Compared to the reference period (1976-2005), the runoff is projected to increase by 5% for more than 50% of the third-level sub-basins under 1.5℃ global warming; that is projected to increase by 8% under the 2.0℃ global warming. This indicates that water resources in the Yangtze River basin will increase further under the 2.0℃ global warming. (4) In terms of spatial variability, the precipitation in the northern part of the Yangtze River basin is projected to increase more than other regions for both two warming scenarios. The distribution pattern of runoff increase is almost the same as the precipitation. The increasing amplitude of the runoff over the Hanjiang River basin is projected to be the highest across the whole basin.

Key words: 1.5℃ global warming, 2.0℃ global warming, Yangtze River basin, Bias correction method, Global climate model, Two-parameter water balance model

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