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引用本文:王海艳,李滔,章叶飞,张露,杨军,朱建强,刘章勇.1961—2020年长湖流域极端降水事件变化特征及其与温度的关系[J].中国农业资源与区划,2023,44(11):163~171
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1961—2020年长湖流域极端降水事件变化特征及其与温度的关系
王海艳1,2,李滔3,章叶飞3,张露3,杨军1,3,朱建强1,3,刘章勇1,3
1.长江大学湿地生态与农业利用教育部工程研究中心,湖北荆州 434025;2.长江大学动物科学学院,湖北荆州 434025;3.长江大学农学院,湖北荆州 434025
摘要:
目的 长湖流域是调控长江中游地区生态平衡的重要湿地生态系统,其降水变化对区域水资源可持续利用和防灾减灾具有重要意义。方法 文章基于1961—2020年长湖流域逐日气象数据,选取9个极端降水指数,运用线性回归分析、相关分析和重标极差分析(rescaled range analysis,R/S)探讨了长湖流域极端降水事件的变化特征及其对气温变化的响应,并预测该区域极端降水事件未来演变趋势。结果 (1)1961—2020年长湖流域年降水量整体呈上升趋势,上升速率为5.4 mm/10年,多年平均降水量为1 151.9 mm;年内降水呈单峰模式,6月的降水量最高,占比为14.99%,12月最低,占比为2.37%。(2)长湖流域极端降水指数均呈上升趋势,除持续湿润日数(CWD)和持续干旱日数(CDD)增加趋势不明显外,其他指数上升趋势显著。(3)CWD和CDD与其他指数的相关性较低,除1日最大降水量(RX1day)与极端降水日数(R95d)相关性不显著以外,其他极端降水指数之间均呈显著相关关系。(4)R/S分析结果表明,未来长湖流域极端降水事件将持续前期的变化趋势。结论 长湖流域极端降水事件总体呈增加趋势,温度上升会对极端降水强度起促进作用。
关键词:  极端降水  温度  长湖  长江中游  气候变化
DOI:10.7621/cjarrp.1005-9121.20231114
分类号:P467
基金项目:国家自然科学基金项目“浮游植物群落对强降雨事件的响应——以湖北长湖为例”(41901135),“长江中游面源污染入江输移机理及滞后效应研究”(U21A2039)
VARIATIONS OF EXTREME PRECIPITATIOIN EVENTS AND ITS RELATIONSHIPS WITH TEMPERATURE IN CHANGHU LAKE BASIN FROM 1961 to 2020
Wang Haiyan1,2, Li Tao3, Zhang Yefei3, Zhang Lu3, Yang Jun1,3, Zhu Jianqiang1,3, Liu Zhangyong1,3
1.Engineering Research Center of Ecology and Agricultural Use of Wetland, Ministry of Education, Yangtze University, Jingzhou 434025, Hubei, China;2.College of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China;3.College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China
Abstract:
Changhu Lake Basin (CLB) is a critical wetland ecosystem for regulating the ecological balance of the middle reaches of Yangtze River. The changes of precipitation in CLB have a great significance to the sustainable utilization of regional water resources and prevention and mitigation of natural disasters. Based on the daily meteorological data in CLB from 1961 to 2020, a total of nine indices were selected to represent the extreme precipitation characteristics in this region. The linear regression analysis and correlation analysis was used to examine the variations of extreme precipitation events and its responses to temperature changes. Further, the future trends of extreme precipitation events in CLB were predicted by using rescaled range analysis (R/S). The results were listed as follows. (1) The annual precipitation showed an increasing trend at the rate of 5.4 mm/10a and an annual average precipitation of 1 151.9 mm in CLB from 1961 to 2020. The intra-annual variation of precipitation showed a single peak pattern, with the highest precipitation in June and lowest in December and January, which accounted for 14.99% and 2.37% of the annual total precipitation, respectively. (2) The extreme precipitation indices significant increased (except for CWD and CDD) in CLB from 1961 to 2020. (3) There were low correlations between CWD, CDD and other extreme precipitation indices, while other indices showed significant correlations between each other (except the relationship between RX1day and R95d). (4) The results of R/S analysis demonstrated that the future changes of extreme precipitation events would consistent with the past trends. In summary, the extreme precipitation events show an upward trend during the study period, and with the increasing of temperature, there is an enhancing effect on the intensity of extreme precipitation.
Key words:  extreme precipitation  temperature  Changhu Lake  the middle reaches of Yangtze River  climate change
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