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南京市主城区污水处理厂进水水质的时序特征

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以 2019 年—2021 年南京市主城区 7 个污水处理厂逐日进水水质的监测数据为研究对象,系统地分析污染物浓度的时序特征.运用经验模态分解识别了水质的波动周期,并运用季节与趋势分解以及Mann-Kendall检验诊断了水质的变化趋势.主要结果如下:(1)主城区污水处理厂进水氨氮、TN、TP、CODCr 的平均质量浓度分别为 24.74、29.47、3.08、214.85 mg/L;(2)进水污染物浓度呈现出显著的季节差异,其中 7 月的浓度较低,而 12 月的浓度较高;(3)主城区污水处理厂进水CODCr 的上升趋势较为强烈,其中 4 个污水厂的CODCr 浓度均呈现出显著的上升趋势;(4)在逐日尺度上各污水处理厂进水的氨氮、TN、TP、CODCr 均呈现出 3 d的周期性振荡.相关结果为研究区提高污水处理运营效能提供了重要的数据支撑.
Time-Series Characteristics of Influent Water Quality of WWTPs in Main Urban Areas of Nanjing
The daily monitoring data of influent water quality of seven wastewater treatment plants(WWTPs)in the main urban area of Nanjing from 2019 to 2021 were taken as the study object,and the time-series characteristics of pollutant concentration were analyzed systematically.The fluctuation period of water quality were identified by using the empirical mode decomposition,and the trends of water quality were diagnosed with seasonal and trend decomposition,and Mann-Kendall test.The main results were as follows.(1)The average concentrations of ammonia nitrogen,TN,TP and CODCr from the influent of WWTP in the main urban area were 24.74,29.47,3.08 mg/L and 214.85 mg/L,respectively.(2)The concentration of influent pollutants showed significant seasonal differences,with lower concentration in July and higher concentration in December.(3)CODCr of influent water from WWTPs in the main urban area had the strong upward trend,and the CODCr of four WWTPs presented the significant upward trends.(4)On the daily scale,the ammonia nitrogen,TN,TP and CODCr of influent water from each WWTP exhibited periodic oscillation with 3 days.The relevant results provide important data support for improving the operation efficiency of wastewater treatment in the study area.

Nanjingwastewater treatment plantinfluent water qualitytime-series characteristicstrendperiodic

闵兴华、吕婷、薛琼、金哲

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南京市生态环境保护科学研究院,江苏南京 210041

南京市 污水处理厂 进水水质 时序特征 趋势 周期性

2024

净水技术
上海市净水技术学会,上海市城乡建设和交通委员会科学技术委员会办公室

净水技术

CSTPCD
影响因子:0.643
ISSN:1009-0177
年,卷(期):2024.43(10)