辽宁省农村生活污水产污特征及其系数测算研究

doi:10.19741/j.issn.1673-4831.2020.0813

摘要/Abstract

摘要： 为了解辽宁省农村生活污水产污特征，以辽宁省5个地市农村生活污水为研究对象，对生活污水日产生量和COD、NH₃-N、TN、TP、BOD₅、动植物油浓度7项指标进行跟踪监测，运用实地入户调查、现场监测与SPSS软件数据分析等方法，分析了影响农村生活污水产污特征的主导因素，并对各类污染物的产污系数进行系统定量研究。结果表明，农村生活污水人均日产量、NH₃-N的主要影响因素为地域和季节，COD、BOD₅、TN、TP以及动植物油的主要影响因素为地域和收入水平；农村生活污水产生量系数为26.49 L·人^-1·d^-1，COD、BOD₅、NH₃-N、TN、TP、动植物油的产污系数分别为23.85、11.78、0.12、0.64、0.11、0.43 g·人^-1·d^-1。

关键词: 农村生活污水, 产污系数, 影响因子, 相关性

Abstract: To understand the pollution characteristics and evaluate the status of rural domestic wastewater pollution correctly in Liaoning Province. 5 typical cities in different regions with different income levels were investigated. The characteristic indices of rural domestic wastewater, including the daily discharge per capita, chemical oxygen demand (COD), biochemical oxygen demand (BOD₅), NH₃-N, total nitrogen (TN), total phosphorus (TP), and animal and vegetable oil, were monitored. Through in-situ monitoring and houosehold survey, the factors that influencing rural domestic wastewater discharge characteristics were analyzed by the software SPSS. The results indicate that "region" played a dominant role in the daily discharge per capita of and NH₃-N in rural domestic wastewater, and that the concentrations of COD, BOD₅, NH₃-N, TN, TP were influenced by region and income level. The average per capita pollution generation coefficients of rural domestic wastewater were 26.49 L·p^-1·d^-1 for wastewater, 23.85 g·p^-1·d^-1 for COD, 11.78 g·p^-1·d^-1 for BOD₅, 0.12 g·p^-1·d^-1 for NH₃-N, 0.64 g·p^-1·d^-1 for TN, 0.11 g·p^-1·d^-1 for TP, and 0.43 g·p^-1·d^-1 for animal and vegetable oil, respectively.

Key words: rural domestic wastewater, generation coefficients, influencing factor, correlation

中图分类号:

X508

刘岚昕, 何军, 王留锁, 赵鹏雷, 史美玲. 辽宁省农村生活污水产污特征及其系数测算研究[J]. 生态与农村环境学报, 2021, 37(6): 794-800.

LIU Lan-xin, HE Jun, WANG Liu-suo, ZHAO Peng-lei, SHI Mei-ling. Study on the Characteristics and Coefficient Measurement of Rural Domestic Sewage Generation in Liaoning Province[J]. Journal of Ecology and Rural Environment, 2021, 37(6): 794-800.

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