首页|湖泊水体中溶解氧和高锰酸盐指数多时间尺度相关性的分形测量

湖泊水体中溶解氧和高锰酸盐指数多时间尺度相关性的分形测量

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深入理解水质指标之间的相关性演化,有助于阐明水华发生及演化机理.为探究湖泊水体中溶解氧(DO)和高锰酸盐指数(IMn)水质指标的多时间尺度非线性相关性特征及演化规律,应用集合经验模态分解法(EEMD)和多重分形去趋势互相关分析法(MFDCCA),对泸沽湖和邛海湖2022年2月1日~2023年8月31 日 DO和IMn之间相关性的长期持续性及多重分形特征进行研究.结果表明:1)泸沽湖和邛海湖DO演化主要受到不同时间尺度上气象条件的影响.前8个模态叠加后构成DO的高频成分模态,可以更好地反映藻类生长对DO的影响,而减少气候季节变化对DO的影响.2)在研究时间尺度内,DO高频分量和IMn指标相关作用的强度随时间以幂函数形式缓慢衰减,其相关性在一定时高的U形变化.气象条件变化是导致Δh值和藻密度具有互相关关系的主要原因.研究湖泊水体中DO和IMn之间相关性的多重分形变化模式,可为完善湖泊水体中藻类演化动态及水华预测预警模型提供新的动力参数.
Fractal Measurement of Multi-time Scale Correlations Between Dissolved Oxygen and Permanganate Index in Lake Water
An in-depth understanding of the evolution of correlations between water quality indicators will help clarify the occurrence and evolution mechanisms of algae blooms.In order to explore the multi-time scale nonlinear correlation charac-teristics between dissolved oxygen(DO)and permanganate index(CODMn)water quality indicators in lake water bodies,the ensemble empirical mode decomposition(EEMD)and multifractal detrended cross-correlation analysis method(MFDC-CA)were used to study the long-term persistence and multifractal characteristics of the correlation between DO and CODMn in Lugu Lake and Qionghai Lake from February 1,2022 to August 31,2023.The results show that:1)The DO evolutions of Lugu Lake and Qionghai Lake are mainly affected by meteorological conditions on different time scales.The first eight modes are superimposed to form the high-frequency component mode of DO,which can better reflect the impact of algae growth on DO and reduce the impact of seasonal changes in climate on DO.2)Within the research time scale,the intensity of the correlation between the DO high-frequency component and the CODMn index slowly decays with time in the form of a power function,and its correlation changes in a U-shape at a certain time.Changes in meteorological conditions are the main reason for the mutual correlation between Δh value and algae density.Studying the multi-fractal change pattern of the correlation between DO and CODMn in lake water can provide new dynamic parameters for improving the evolution dynamics of algae and algae bloom prediction and early warning models in lake water.

dissolved oxygenpermanganate indexEEMDMFDCCAmultifractal

邓国海、庞仁燕、张惠、李静、都鸿菲、史凯

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四川省生态环境监测总站,四川成都 610074

西华师范大学环境科学与工程学院,嘉陵江流域生态环境保护与污染防治南充市重点实验室,四川南充 637009

DO 高锰酸盐指数 集合经验模态分解 多重分形

西华师范大学博士启动基金西华师范大学博士启动基金国家自然科学基金湖南省自然科学基金

22kE01622kE015521600242022JJ30475

2024

中国沼气
中国沼气学会 农业部沼气科学研究所

中国沼气

CSTPCD
影响因子:0.738
ISSN:1000-1166
年,卷(期):2024.42(2)
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