生态科学2025，Vol.44Issue(2)：41-53,13.DOI:10.14108/j.cnki.1008-8873.2025.02.005
利用高频监测数据分析千岛湖溶解氧昼夜和季节变化规律及影响因素
Diurnal and seasonal variations of dissolved oxygen and its influencing factors based on high-frequency monitoring data at Lake Qiandao
摘要
Abstract
The high frequency monitoring method(HFMM)can effectively capture rapid variation information of water quality(WQ)parameters at hourly time scale.To provide substantial information of WQ changes at Lake Qiandao in recent years,the diurnal and seasonal variations of dissolved oxygen(DO)were analyzed using high-frequency WQ data,hydrological and meteorological conditions monitored at the central lake for December 2015 to November 2019.Random Forest(RF)and correlation analysis(CA)methods were used to identify the main factors of DO variations.The results showed that there was obvious diurnal variation of surface DO in each season.DO varied sinusoidally with peak values observed at 6:00 PM and trough values recorded at 9:00 AM in autumn and winter.The diurnal variation of DO followed an opposite pattern in spring and summer compared to autumn and winter.Water temperature(WT),chlorophyll a(Chl-a),atmospheric reoxygenation rate(F),turbidity(TURB),phycocyanin(PC)and fluorescent dissolved organic matter(FDOM)were the key factors influence the DO diurnal variations.Except for Chl-a and PC,all the other parameters were negatively correlated with DO.According to the analysis on daily data of DO and other environmental factors for 2015-2019,the contribution rates to DO variation ranked as WT(31.6%)>Chl-a(15.8%)>FDOM(9.9%)>TURB(9.3%)>PC(8.4%)>F(7.8%).However,the contribution rates of the above factors were different at different seasons.The factors with the maximum contribution in spring,summer,autumn and winter were FDOM(30.9%),PC(25.4%),Chl-a(20.5%)and F(28.8%)respectively.The seasonal mean value of DO followed a pattern of"spring(9.9 mg·L-1)>winter(9.8 mg·L-1)>summer(8.6 mg·L-1)>autumn(8.4 mg·L-1)"during 2015-2019.The successful application of RF method to analysis of high frequency monitoring data in this paper could provide experience for other similar studies about environmental data mining.The conclusions in this paper will provide strong and scientific support for better environmental management at Lake Qiandao.关键词
溶解氧/昼夜变化/季节变化/高频监测/随机森林/千岛湖Key words
dissolved oxygen/diurnal variation/seasonal variation/high frequency monitoring/random forest/Lake Qiandao分类
资源环境引用本文复制引用
孙婷,龚发露,武桂竹,陈岚,张舰,满小明,王裕成,兰佳,罗纯良,罗潋葱,吴志旭,李慧赟,李加龙,张如枫..利用高频监测数据分析千岛湖溶解氧昼夜和季节变化规律及影响因素[J].生态科学,2025,44(2):41-53,13.基金项目
云南省科技厅科技计划项目(202305AM070001) （202305AM070001）
国家自然科学基金项目(41671205,42171034) （41671205,42171034）
