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南通市大气降水中硫酸根的影响因素研究
引用本文:黄俐,汤春艳,陈秀梅.南通市大气降水中硫酸根的影响因素研究[J].四川环境,2022(1):231-234.
作者姓名:黄俐  汤春艳  陈秀梅
作者单位:江苏省南通环境监测中心
基金项目:2021年南通市科技项目(JC2021167);。
摘    要:随着环境空气污染的日益加重,研究硫酸根与降水中其他因子的相关关系对准确反映大气的质量状况具有重要意义。根据南通市2018年的降水监测数据,采用SPSS统计分析软件对降水中的硫酸根浓度与pH值、电导率以及常见阴、阳离子进行相关性分析,推断出离子的可能来源。通过多元线性回归模型可以对南通的硫酸根离子浓度进行预测。研究为南通市降水的污染防治提供了科学依据,并提出南通市降水中硫酸盐的污染防治应从源头上对SO_(2)总量排放进行控制。

关 键 词:SPSS统计软件  降水  硫酸根  回归分析

Study on the Influencing Factors of Sulfate in Precipitation in Nantong
HUANG Li,TANG Chun-yan,CHEN Xiu-mei.Study on the Influencing Factors of Sulfate in Precipitation in Nantong[J].Sichuan Environment,2022(1):231-234.
Authors:HUANG Li  TANG Chun-yan  CHEN Xiu-mei
Institution:(Jiangsu Nantong Environmental Monitoring Center,Nantong,Jiangsu 226006,China)
Abstract:With the increasing of air pollution,it is important to study the relationship between sulfate and other factors in precipitation to accurately reflect the quality of the atmosphere.Based on the data of precipitation in Nantong City in 2018,SPSS statistical analysis software was used to analyze the correlation between the sulfate concentration in precipitation and p H value,electrical conductivity,common anion and cation,and infer the possible sources of ions.The concentration of sulfate ion in Nantong can be predicted by multiple linear regression model.This study provides a scientific basis for prevention and control of precipitation pollution in Nantong city,and proposed that the pollution prevention and control of sulfate in precipitation in Nantong city should control the total SO2emission from the source.
Keywords:SPSS statistical software  precipitation  the sulfate radical  regression analysis
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