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萧山区典型月份大气环境质量现状评价与分析

丁丽 侯若曦 蔡柔 江霞 陆媛媛 徐佳晔 徐艺佩 杨振宇 李伟东

杭州师范大学学报(自然科学版)2025,Vol.24Issue(4):356-364,9.
杭州师范大学学报(自然科学版)2025,Vol.24Issue(4):356-364,9.DOI:10.19926/j.cnki.issn.1674-232X.2024.09.182

萧山区典型月份大气环境质量现状评价与分析

Current Situation and Evaluation of Atmospheric Environmental Quality in Typical Months in Xiaoshan District

丁丽 1侯若曦 2蔡柔 2江霞 3陆媛媛 4徐佳晔 4徐艺佩 4杨振宇 2李伟东5

作者信息

  • 1. 杭州师范大学钱江学院,浙江 杭州 310036||浙江工商大学环境科学与工程学院,浙江 杭州 310018
  • 2. 杭州师范大学工学院,浙江 杭州 311136
  • 3. 杭州师范大学信息科学与技术学院,浙江 杭州 311121
  • 4. 杭州师范大学钱江学院,浙江 杭州 310036
  • 5. 杭州师范大学钱江学院,浙江 杭州 310036||杭州师范大学工学院,浙江 杭州 311136
  • 折叠

摘要

Abstract

This study investigated the atmospheric environmental quality in Xiaoshan District from November 2023 to April 2024.Three sampling sites in the central,eastern,and southern Xiaoshan regions were selected to measure the mass concentrations of SO2,NO2,CO,O3,PM2.5 and PM10.Temporal variation characteristics of pollutants were analyzed,and evaluations were conducted using the air quality index(AQI)and principal component analysis(PCA).Results revealed that the daily mass concentrations of PM2.5,PM10 and NO2 exhibited bimodal distributions,while O3 showed a single afternoon peak.Monthly O3 concentrations followed a"U-shaped"trend,whereas other pollutants displayed an"inverted U-shaped"pattern during the first four months,with PM2.5 and NO2 slightly increasing in March before declining.AQI evaluation indicated that 85.17%of days met good-to-excellent air quality standards,with PM2.5 and NO2 being the primary pollutants,accounting for 36.3%and 19.8%of the monitored days,respectively.PCA identified three principal components influencing air quality,with the first component accounting for 52.332%of the variance,primarily driven by PM2.5,PM 10 and NO2.Comprehensive analysis showed the worst air quality in January and the best in April.Further findings highlighted meteorological conditions(temperature inversion,wind speed)and social activities(fireworks and firecracker combustion)as key factors affecting air quality in Xiaoshan District.

关键词

大气环境质量/空气质量指数/主成分分析法/萧山区

Key words

atmospheric environmental quality/air quality index/principal component analysis/Xiaoshan District

分类

资源环境

引用本文复制引用

丁丽,侯若曦,蔡柔,江霞,陆媛媛,徐佳晔,徐艺佩,杨振宇,李伟东..萧山区典型月份大气环境质量现状评价与分析[J].杭州师范大学学报(自然科学版),2025,24(4):356-364,9.

基金项目

浙江省基础公益研究计划项目(LGF22B070001) (LGF22B070001)

国家级大学生创新创业训练计划项目(202210346069,202210346070) (202210346069,202210346070)

杭州师范大学工学院(星光计划)工创训练营项目. (星光计划)

杭州师范大学学报(自然科学版)

1674-232X

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