2000-2020年密云水库入库河流水质演变趋势OA
Evolution trends of water quality in inflow rivers of Miyun Reservoir from 2000 to 2020
[目的]良好的水质可以确保水生生物的生存和繁衍,维持生物多样性,密云水库入库河流水质变化与其上游流域水生态保障息息相关.[方法]利用北京饮用水水源地密云水库上游白河大关桥站和潮河辛庄桥站2000-2020年水质监测数据,运用S-MK趋势分析、Spearman相关性分析、LSTM预测模型等方法,揭示了密云水库入库河流水质变化特征和演变趋势.[结果]结果表明:大关桥处总氮由最低值1.85 mg/L连年增长至2.09 mg/L,辛庄桥由4.89 mg/L连年增长至5.93 mg/L,2000-2020年总氮不满足Ⅱ类标准,是密云水库入库河流水质变化的主要影响因子;其中,人口增长、GDP对水质贡献率超过90%,降雨、气温及蒸散发对水质的贡献率约9%,人为因素是影响水质的主要驱动因素;LSTM预测显示未来10年密云水库入库河流水质总体保持在Ⅱ—Ⅲ类标准,总氮和硝酸盐氮在部分月份呈现8.36 mg/L的最高值,出现较大波动,需特别关注季节性水质变化.[结论]通过水质变化分析、驱动因素探讨及未来水质演变预测,为密云水库流域水资源管理与北方河流水质保护研究提供参考与借鉴.
[Objective]High water quality ensures the survival and reproduction of aquatic organisms and maintains biodiversity.Variations in the water quality of inflow rivers of the Miyun Reservoir are closely related to the ecological protection of its upstream watershed.[Methods]Water quality monitoring data from 2000 to 2020 at Daguan Bridge Station on the Bai River and Xinzhuang Bridge Station on the Chao River located upstream of the Miyun Reservoir(Beijing's drinking water source)were used.The Seasonal Mann-Kendall(S-MK)trend analysis,Spearman correlation analysis,and Long Short-Term Memory(LSTM)prediction model were applied to reveal the characteristics and evolution trends of water quality variations in the inflow rivers of the Miyun Reservoir.[Results]The result indicated that total nitrogen at Daguan Bridge increased year by year from a minimum of 1.85 mg/L to 2.09 mg/L,and at Xinzhuang Bridge from 4.89 mg/L to 5.93 mg/L.From 2000 to 2020,total nitrogen failed to meet Class Ⅱ standards and was the main influencing factor of the water quality variations in the inflow rivers of the Miyun Reservoir.Specifically,population growth and GDP contributed over 90%to water quality variations,while precipitation,temperature,and evapotranspiration contributed approximately 9%,indicating human factors as the primary drivers of water quality.LSTM predictions showed that in the next ten years,the water quality of inflow rivers of the Miyun Reservoir would generally remain within Class Ⅱ-Ⅲ standards.Total nitrogen and nitrate nitrogen could reach a maximum value of 8.36 mg/L in certain months,showing significant fluctuations.Seasonal variations in water quality required particular attention.[Conclusion]By analyzing water quality variations,exploring driving factors,and predicting future water quality trends,the findings provide references for water resource management in the watershed of Miyun Reservoir and for water quality protection research in rivers in northern China.
徐萌;薛万来;万路通;吴卿;齐迹;李文忠;安翼
华北水利水电大学,河南郑州 450046||北京市水科学技术研究院,北京 100048||流域水环境与生态技术北京市重点实验室,北京 100048北京市水科学技术研究院,北京 100048||流域水环境与生态技术北京市重点实验室,北京 100048北京市水科学技术研究院,北京 100048||流域水环境与生态技术北京市重点实验室,北京 100048||山西农业大学林学院,山西太谷 030801华北水利水电大学,河南郑州 450046华北水利水电大学,河南郑州 450046||北京市水科学技术研究院,北京 100048||流域水环境与生态技术北京市重点实验室,北京 100048北京市水科学技术研究院,北京 100048||流域水环境与生态技术北京市重点实验室,北京 100048北京市密云水库管理处,北京 101512
资源环境
水质趋势分析相关性分析驱动因素LSTM预测模型密云水库
water qualitytrend analysiscorrelation analysisdriving factorsLSTM prediction modelMiyun Reservoir
《水利水电技术(中英文)》 2026 (3)
43-59,17
国家自然科学基金青年项目"顾及空间异质性的河流廊道生态修复成效遥感多尺度评估研究"(3230130282)国家水体污染控制与治理科技重大专项(2018ZX07101005-03)北京市科技计划课题"密云水库水生态安全优化调控技术体系研究与规范"(Z221100005222013)
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