折远洋,李忠勤,王芳龙,周茜,张芳芳,杨磊.秦巴山地西部地区2015—2018年大气污染物变化特征及潜在来源分析[J].环境科学学报,2020,40(6):1987-1997
秦巴山地西部地区2015—2018年大气污染物变化特征及潜在来源分析
- Variation characteristics and potential source analysis of atmospheric pollutants in west of the Qinling-Daba Mountains from 2015 to 2018
- 基金项目：中国科学院战略性先导科技专项（No.A类：XDA20060201，XDA20020102）；甘肃省高等学校创新能力提升项目（No.2019A-191）；陇南市2018年社科项目（No.18LNSK10）；陇南师范高等专科学校校级教学改革项目（No.JXGG201739，JXGG201706）
- 折远洋
- 陇南师范高等专科学校历史文化与旅游学院, 陇南 742500
- 李忠勤
- 1. 中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室/天山冰川站, 兰州 730000;2. 西北师范大学地理与环境科学学院, 兰州 730070
- 王芳龙
- 西北师范大学地理与环境科学学院, 兰州 730070
- 周茜
- 1. 中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室/天山冰川站, 兰州 730000;2. 兰州大学资源环境学院, 兰州 730000
- 张芳芳
- 陇南师范高等专科学校历史文化与旅游学院, 陇南 742500
- 杨磊
- 陇南师范高等专科学校历史文化与旅游学院, 陇南 742500
- 摘要：为了研究我国南北过渡带西部地区大气污染物变化特征，选取了秦巴山地西部陇南市2015-2018年大气主要污染物监测资料和气象数据，分析了各污染物的浓度水平、变化特征及与气象条件的关系，并利用HYSPLIT后向轨迹模式分析了该地区污染物潜在来源（WPSCF和WCWT）.结果表明：4年来，秦巴山地西部地区空气环境质量较好，空气质量优良率达94.24%，6项大气污染物SO2、NO2、CO、O3、PM2.5、PM10平均浓度分别为19.02、23.35、701.41、83.11、30.57、56.50 μg·m-3，均未超过国家二级标准.PM10是该地区首要污染物中天数最多的，达94 d.污染物SO2、NO2、CO、PM2.5和PM10的季节变化和日变化特征具有较好一致性，呈"U"型变化，O3呈单峰型，在夏季和午后浓度到达高值.颗粒污染物PM10、PM2.5与气态污染物SO2、NO2、CO均呈现较好正相关，气温、降水量和风速风向对污染物浓度有较大的影响.该地区冬季空气质量明显差于其他季节，颗粒物浓度主要受供暖期化石燃料燃烧和外来气流的影响.
- Abstract：In order to study the variation characteristics of air pollutants in the western areas of the North-South transition zone of China, we analyzed the pollution concentration, temporal variation as well as the relationship between pollutants and meteorological conditions based on the monitoring date of air pollutants and corresponding meteorological date in Longnan city, and we also analyzed the potential source of pollutants by HYSPLIT model (WPSCF and WCWT). The results show that the air quality in the Western Qinba mountain area is good, and the excellent rate is 94.24%, The average concentrations of SO2, NO2, CO, O3, PM2.5, PM10 are 19.02, 23.35, 701.41, 83.11, 30.57, 56.50 μg·m-3, respectively, and none of them exceed the national secondary standard in the past four years. PM10 is the major pollutant in this region, with the most days of 94 d. The seasonal and daily variation of SO2, NO2, CO, PM2.5 and PM10 are consistent, which present a U-shape, while the concentration of O3 presents unimodal distribution with a high value in summer and afternoon. PM10 and PM2.5 are positively correlated with SO2, NO2 and CO, and temperature, precipitation, wind speed and wind direction have great influence on the concentration of pollutants. The air quality in this area in winter is obviously worse than that in other seasons, and the particle concentration is mainly affected by burning of fossil fuel during the heating period and the external airflow.
