ANALYSIS OF VARIATION CHARACTERISTICS OF AIR QUALITY IN LUOHU DISTRICT OF SHENZHEN IN 2019
-
摘要: 统计分析了深圳市罗湖区2019年主要空气污染物的浓度,探究了罗湖区常规大气污染物浓度的变化趋势,及其与气象因素间的相关性,对2019年罗湖区2次污染事件进行了潜在源分析,并对臭氧(O3)进行了主成分分析。结果表明,2019年罗湖区各大气污染物浓度受季节影响较大,且出现“周末效应”,全年348 d有效数据中,主要污染物为O3的天数为225 d,占比64.66%,2019年罗湖区的主要污染物为O3。罗湖区颗粒物浓度与其他污染物之间相关性较为显著,大气环境中各污染物浓度与气温、风力和相对湿度呈较显著相关。2次大气污染事件的潜在源分析结果表明,东北方向(如东莞市等)为罗湖区O3和PM2.5的潜在输入源。通过对O3浓度的主成分分析解析出了4个主成分,影响罗湖区大气O3浓度的主要因素为风力、湿度、PM2.5、PM10和SO2。研究结果为罗湖区大气污染污染控制与治理提供了参考。Abstract: In this study, the concentrations of major air pollutants in Luohu District of Shenzhen in 2019 were statistically analyzed, the trend of conventional air pollutant concentration in Luohu District was explored, and the correlation between atmospheric pollutant concentration and meteorological factors in Luohu District was analyzed. The potential source analysis of two pollution events in Luohu District in 2019 was analyzed, the principal component analysis of the main pollutant ozone in Luohu District was carried out, and finally, air pollution control suggestions and countermeasures were put forward for Luohu District. The results showed that the concentration of air pollutants in Luohu District in 2019 was greatly affected by the season, and there was a weekend effect, among the 348 effective data of the year. The number of days with the main pollutant as ozone was 225, accounting for 64.66% of the whole year, and the main pollutant in Luohu District in 2019 was ozone. The correlation between particulate matter concentration and other pollutants in Luohu District was significant, and the concentration of pollutants in the atmospheric environment was significantly correlated with temperature, wind, and relative humidity. The results of the analysis of the potential sources of the two air pollution events showed that the northeast direction including Dongguan etc., was the potential input source of O3 and PM2.5 in Luohu District. Four principal components were analyzed through the analysis of the principal component of ozone concentration, of which the first component could explain 59.2% of the ozone concentration, and the main factors affecting atmospheric ozone concentration in Luohu District were wind, humidity, PM2.5, PM10 and SO2. This study provides a reference for the control and treatment of air pollution in Luohu District.
-
Key words:
- air quality /
- correlation analysis /
- ozone /
- particle pollution /
- Luohu District of Shenzhen
-
[1] 秦耀辰,谢志祥,李阳.大气污染对居民健康影响研究进展[J].环境科学,2019,40(3):1512-1520. [2] WANG Y,QI Y,HU J,et al.Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013—2014[J].Environment International,2014,73:413-422. [3] 张晴,赵丽娅,郭志威,等.2017—2020年武汉市大气污染物时空分布特征研究[J].环境工程,2023,41(2):82-90. [4] 孔琳,胡婷莛,牛植,等.新型冠状病毒肺炎疫情防控时期上海市空气质量特征及成因分析[J].环境工程,2021,39(9):110-116,198. [5] 代园园,龚绍琦,张存杰.粤港澳大湾区空气污染物的时空分布及其影响因素[J].环境工程学报,2022,16(12):4001-4017. [6] 李瑞园,刘红河,丘红梅,等.2017年深圳市龙岗区和南山区大气环境空气PM2.5中铵离子分布特征[J].职业与健康,2018,34(21):2976-2979. [7] 吴惬,朱珠,田鹏山.深圳市宝安区“十三五”时期空气质量分析[J].清洗世界,2022,38(10):148-150. [8] 陈聪.基于多元线性回归模型的深圳市空气质量实证分析[J].科学技术创新,2021(9):29-32. [9] 赵秀玲,李伟,王伟民,等.我国典型城市空气质量演变及其调控:以深圳市2000—2017年为例[J].生态学报,2020,40(17):5894-5903. [10] 高婵娟,赵啟超,丁若男,等.2018年吉林市大气污染物浓度变化及其与气象因素的相关性分析[J].环境工程,2021,39(5):71-79. [11] 颜丰华,陈伟华,常鸣,等.珠江三角洲大气光化学氧化剂(Ox)与PM2.5复合超标污染特征及气象影响因素[J].环境科学,2021,42(4):1600-1614. [12] AKRITIDIS D,POZZER A,ZANIS P.On the impact of future climate change on tropopause folds and tropospheric ozone[J].Atmospheric Chemistry and Physics,2019,19(22):14387-14401. [13] 周俊佳,梁娟珠.福州市区大气污染物质量浓度时空分布特征分析[J].环境工程,2017,35(2):89-93. [14] 周成,李少洛,孙友敏,等.基于CMAQ空气质量模型研究机动车对济南市空气质量的影响[J].环境科学研究,2019,32(12):2031-2039. [15] 吴海堂,孙丰宾,晏海,等.城市公园大气颗粒物浓度的节假日特征[J].风景园林,2019,26(3):87-92. [16] 孙瑞,邓国庆.徐州市城区大气挥发性有机物的污染特征和臭氧生成潜势研究[J].环境科学与管理,2022,47(3):130-134. [17] 陈文泰,胡崑,薛艳,等.餐饮源挥发性有机物(VOCs)排放特征及对臭氧生成的影响[J].南京信息工程大学学报(自然科学版),2020,12(6):647-655. [18] 闫东杰,李臻阳,玉亚,等.西安市二氧化硫排放清单及对PM2.5的贡献[J].安全与环境学报,2018,18(5):2002-2007. [19] 张涵,姜华,高健,等.PM2.5与臭氧污染形成机制及协同防控思路[J].环境科学研究,2022,35(3):611-620. [20] 刘鑫,孙明虎.济南市大气中一氧化碳污染特征研究[J].中国环境管理干部学院学报,2016,26(5):75-78. [21] 严业华.“十三五”期间永安市环境空气中一氧化碳污染趋势及分析[J].海峡科学,2021(6):85-88. [22] 孙金金,谢晓栋,秦墨梅,等.不同时间尺度上PM2.5与臭氧协同关系及其影响因素分析[J].科学通报,2022,67:2018-2028. [23] 黄顺祥.大气污染与防治的过去、现在及未来[J].科学通报,2018,63(10):895-919. [24] 余淑苑,张隽,彭朝琼,等.深圳市气象因素对SO2等大气污染物的影响研究[J].环境与健康杂志,2008(6):483-486. [25] 张淑平,韩立建,周伟奇,等.冬季 PM2.5的气象影响因素解析[J].生态学报,2016,36(24):7897-7907. [26] 赵敬国,王式功,王嘉媛,等.兰州市空气污染与气象条件关系分析[J].兰州大学学报:自然科学版,2013,49(4):491-496. [27] 李顺姬,李红,陈妙,等.气象因素对西安市西南城区大气中臭氧及其前体物的影响[J].气象与环境学报,2018,34(4):59-67. [28] 孙韧.京津冀区域大气污染特征及相互输送影响研究[D].天津:天津大学,2018. [29] 陈多宏,沈劲,陈瑶瑶,等.2020年珠三角O3污染特征及主要成因[J].中国环境科学,2022,42(11):5000-5007. [30] 方灿芬.东莞市大气PM2.5污染特征及防治对策[J].中国环保产业,2013,176(2):9-12. [31] 常树诚,郑亦佳,曾武涛,等.碳协同减排视角下广东省PM2.5实现WHO-Ⅱ目标策略研究[J].环境科学研究,2021,34(9):2105-2112. [32] 姚萃.上海市虹口区PM2.5和O3复合污染特征分析[J].绿色科技,2022,24(24):217-220,225. [33] 张佳音,郭云飞,肖舜,等.陕西区域环境空气质量时空特征[J].中国沙漠,2023,43(3):36-46. [34] 郭庆皓,陈魁.南京环境空气质量特征及变化分析[J].南京信息工程大学学报(自然科学版),2022,14(3):294-303. [35] 张滢滢,陈丽英.海口市2013—2019年空气质量状况及与气象要素的关系研究[J].环境科学与管理,2021,46(6):34-37. [36] 何祥亮,杜艳,丁雨薇.生态系统生产总值评估研究综述及建议[J].环境保护与循环经济,2022,42(8):50-54.
点击查看大图
计量
- 文章访问数: 74
- HTML全文浏览量: 3
- PDF下载量: 13
- 被引次数: 0