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洪泽湖近50a特征水位变化规律及影响因素
引用本文:梅海鹏,王振龙,刘猛,周佳敏. 洪泽湖近50a特征水位变化规律及影响因素[J]. 长江科学院院报, 2021, 38(1): 35-40. DOI: 10.11988/ckyyb.20191272
作者姓名:梅海鹏  王振龙  刘猛  周佳敏
作者单位:1.安徽省·水利部淮河水利委员会 水利科学研究院,安徽 蚌埠 233000; 2.水利水资源安徽省重点实验室,安徽 蚌埠 233000; 3.河海大学 水文水资源学院,南京 210098
摘    要:根据1967—2016年蒋坝、尚咀、高良涧和老子山4个水位站逐日数据,运用Mann-Kendall检验、有序聚类分析、BFAST算法和小波分析,揭示了洪泽湖特征水位年际、年内变化规律;并通过分别构建各特征水位与同期各入湖、出湖流量及降水量、蒸发量之间的多元回归关系,揭示了驱动洪泽湖特征水位变化的主导因素.研究表明:3类...

关 键 词:特征水位  影响因素  Mann-Kendall检验  BFAST分析  洪泽湖
收稿时间:2019-10-18
修稿时间:2020-01-02

Characteristic Water Levels of Hongze Lake in the Past Five Decades:Variation Rules and Influencing Factors
MEI Hai-peng,WANG Zhen-long,LIU Meng,ZHOU Jia-min. Characteristic Water Levels of Hongze Lake in the Past Five Decades:Variation Rules and Influencing Factors[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(1): 35-40. DOI: 10.11988/ckyyb.20191272
Authors:MEI Hai-peng  WANG Zhen-long  LIU Meng  ZHOU Jia-min
Affiliation:1. Water Resources Research Institute of Huaihe River Commission of Anhui Province and Ministry of WaterResources, Bengbu 233000, China; 2. Key Laboratory of Water Conservancy and Water Resources of AnhuiProvince, Bengbu 233000, China; 3. College of Hydrology and Water Resources, Hohai University,Nanjing 210098, China
Abstract:According to the daily water level data at Jiangba, Shangju, Gaoliangjian, and Laozishan stations from 1967-2016, we investigated into the interannual and annual variation rules of characteristic (average, maximum, and minimum) water levels in Hongze Lake via Mann-Kendall test, order cluster analysis, BFAST (Breaks for Additive Seasonal and Trend) algorithm, and wavelet analysis. Moreover, we revealed the dominant factor triggering the variation of characteristic water levels by constructing the multiple regression equation among each characteristic value and inflow and discharge, as well as precipitation and evaporation in the same period. 1) The characteristic water levels experienced abrupt changes in 1982-1985. After 1986, the characteristic water levels witnessed a marked increase; the lowest water level responded the earliest, while the highest water level responded the latest. 2) The fluctuation of characteristic water levels in Hongze Lake is highly consistent, with 36 years, 17 years, and 9 years as the first, second, and third principal periods, respectively. 3) In storage stage(stage 1, from October to next April), the flow rate at Xiaoliuxiang is the major factor that affect the average water level and minimum water level, accounting for 36% and 33% of the total impact factors, respectively; the flow rate at Sanhezha is the dominant factor for the highest water level, accounting for 36%. In discharging stage (stage 2, May to June), the flow rate at Shuanggou exerts a more evident impact on the lowest water level, occupying 47% of the total impact factors. In water-rising stage (stage 3, July to September), the flow rate at Xiaoliuxiang plays a prevailing role (29%) in average water level. The research results offer scientific basis for the regulation of water level and upstream and downstream runoff in Hongze Lake.
Keywords:characteristic value of water level  influencing factors  Mann-Kendall test  BFAST algorithm  Hongze Lake  
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