2014~2019年黑龙江省典型空气污染物时空分布特征及空气质量评价研究
Research on the Spatiotemporal Distribution Characteristics and Air Quality Evaluation of Typical Air Pollutants in Heilongjiang Province from 2014 to 2019
摘要: 本研究获取2014~2019年黑龙江省12个地级市和1个地区空气中细颗粒物(PM
2.5),可吸入颗粒物(PM
10),二氧化硫(SO
2),二氧化氮(NO
2),一氧化碳(CO)和臭氧8小时平均(O
3-8H)六种主要空气污染物的平均浓度。利用SPSS软件统计学分析方法和ArcGIS插值分析对研究区六种典型空气污染物的时空分布特征进行分析,并结合空气质量分指数计算方法和空气质量等级评价方法对空气质量进行评价。研究结果表明:2014~2019年空气污染物浓度有所降低,污染物浓度变化具有一定的季节性。六项污染物城市间差异性显著,总体呈现南高北低的态势,但不同污染物的分布有所不同。黑龙江省空气污染主要污染物为PM
2.5、PM
10和O
3-8H,哈尔滨空气质量最差,绥化、齐齐哈尔、鹤岗、双鸭山、大庆、七台河及牡丹江空气质量较差,鸡西、佳木斯及黑河空气质量较好,大兴安岭、伊春空气质量最好。植被覆盖率高的地区空气质量较好,人口密集城市、农业城市空气质量较差。
Abstract:
This study obtained the average concentrations of fine particulate matter (PM2.5), inhalable par-ticulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone 8-hour average (O3-8H) in the air of 12 prefecture-level cities and 1 region in Heilongjiang Province from 2014 to 2019. Used the SPSS software statistical analysis method and ArcGIS interpolation analysis to analyze the spatiotemporal distribution characteristics of six typical air pollutants in the study area, and combined the air quality sub-index calculation method and air quality level evaluation method to evaluate air quality. The research results indicate that the concentration of air pollutants has decreased from 2014 to 2019, and the changes in pollutant concentration have certain seasonality. There are significant differences among cities in the six pollutants, showing an overall trend of high in the south and low in the north, but the distribution of different pollutants varies. The main pollutants in air pollution in Heilongjiang Province are PM2.5, PM10, and O3-8H. Harbin has the worst air quality, while Suihua, Qiqihar, Hegang, Shuangyashan, Daqing, Qitaihe, and Mudanjiang have poor air quality. Jixi, Jiamusi, and Heihe have better air quality, while Daxing’anling and Yichun have the best air quality. Areas with high vegetation coverage have better air quality, while densely populated cities and agricultural cities have poorer air quality.
参考文献
|
[1]
|
Gupta, A., Patil, R. and Gupta, S. (2004) A Statistical Analysis of Particulate Data Sets for Jawaharlal Nehru Port and Surrounding Harbour Region in India. Environmental monitoring and assessment, 95, 295-309. [Google Scholar] [CrossRef]
|
|
[2]
|
Mok, K.M. and Hoi, K.I. (2005) Effects of Me-teorological Conditions on PM10 Concentrations—A Study in Macau. Environmental Monitoring and Assessment, 102, 201-223. [Google Scholar] [CrossRef] [PubMed]
|
|
[3]
|
刘沙沙. 哈尔滨市大气环境质量现状研究与预测[D]: [硕士学位论文]. 哈尔滨: 哈尔滨工业大学, 2008.
|
|
[4]
|
卢家鑫, 张明时, 王爱民, 赵小毛. 国内外大气颗粒物中有机污染物研究工作进展[J]. 贵州师范大学学报: 自然科学版, 1996, 14(4): 62-71.
|
|
[5]
|
吴虹, 张彩艳, 王静, 宣肇菲, 楚翠娟, 冯银厂, 徐虹. 青岛环境空气PM10和PM2.5污染特征与来源比较[J]. 环境科学研究, 2013, 26(6): 583-589.
|
|
[6]
|
周江兴. 北京市几种主要污染物浓度与气象要素的相关分析[J]. 应用气象学报, 2005, 16(z1): 123-127.
|
|
[7]
|
康恒元, 刘玉莲, 李涛. 黑龙江省重点城市AQI指数特征及其与气象要素之关系[J]. 自然资源学报, 2017, 32(4): 692-703.
|
|
[8]
|
卯生琼, 杨旭, 王雪微, 令健康, 王秀俐, 张远正, 李天慧. 黑龙江省城市空气质量时空演化特征及气象影响因素研究[J]. 哈尔滨师范大学自然科学学报, 2018, 34(4): 92-96.
|
|
[9]
|
韩铮, 邢延峰, 李广来, 任伊滨. 黑龙江省PM2.5监测现状及结果分析[J]. 环境科学与管理, 2013, 38(1): 134-136.
|
|
[10]
|
王艳琴. 环境保护部发布HJ633-2012《环境空气质量指数(AQI)技术规定(试行)》[J]. 中国标准导报, 2012(4): 49.
|