Knowledge Resource Center for Ecological Environment in Arid Area
渭南市区冬春季PM_(2.5)和PM_(10)时间分布特征及与气象因素的关系 | |
其他题名 | Temporal distribution of PM_(10) and PM_(2.5) and its relationship with meteorological factors during winter and spring in Weinan |
孟媛媛1; 符超峰2; 席建建1; 王祎1 | |
来源期刊 | 地球环境学报
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ISSN | 1674-9901 |
出版年 | 2018 |
卷号 | 9期号:2页码:182-192 |
中文摘要 | 为研究渭南市区2014 2016年的冬春季雾霾天气的特点,选取覆盖渭南市区的4个监测站点,分析渭南市区PM_(10)和PM_(2.5)污染时间分布特征;同时选取日平均气温、相对湿度、风等气象因素,用线性回归分析法分析各个气象因素同大气中PM_(10)和PM_(2.5)的相互关系。研究发现:三年来冬季PM_(10)和PM_(2.5)的日变化的峰值主要出现在12月次年1月;春季PM_(10)和PM_(2.5)的逐日变化的峰值主要出现在3月;日内的周期变化趋势呈多次波动。渭南市区冬春PM_(10)和PM_(2.5)的质量浓度与风速、气温呈负相关,与相对湿度呈正相关,为雾霾的形成创造了条件,在冬季温度较高的情况下以及相对湿度较大的情况下应加强防范。在冬季12月次年1月和春季3月应注意雾霾的防范和治理,燃煤企业要安装脱硫脱硝装置,居民日常生活中尽量减少生物燃料的燃烧,同时政府应根据污染物排放量征税,用制度保护环境。 |
英文摘要 | Background, aim, and scope In recent years, with the rapid development of Chinese economy, air pollution has became increasingly serious and brought very serious harm to human health, the development of the industry, a large number of vehicle exhaust emissions and a great deal of fossil fuel combustion make the air quality getting worse. The air quality of a region is determined by the content of gases or particulates such as SO_2, NO_2, CO, O_3, PM_(10), PM_(2.5), which common features are toxic substances and can float in the air for a long time, endangering the health of the human body. The main sources of pollutants are vehicle pollution, diesel generators, building dust, biomass, coal combustion and industry pollution, as well as seasonal sources of pollution such as summer dry dust from nearby deserts, autumn crop burning and festive fireworks. Weinan City (108°50’ 110°38’E, 34°13’ 35°52’N) is an inland city in western China, this city has faced serious air quality problems due to the rapid growth of cars and the increase in energy consumption in recent decades, however, the pollution problem has not been paid enough attention to in such the medium-sized cities. The number of monitoring sites is extremely limited, the serious pollution in Weinan should cause enough attention to the government, and increase the number of monitoring sites. In the present study, we collected air quality data for PM_(2.5) and PM_(10) in Weinan City and investigated the temporal changes and possible sources of these pollutants. This study can provide useful information for timely prevention of haze and how to prevent haze. Materials and methods According to the daily average concentration values and the real-time concentration data per hour of PM_(10) and PM_(2.5) in the four stations (Gaoxinyixiao, Ribaoshe, Tiyuguan, Nongkesuo) from January 2014 to August 2016, which data was provided by Weinan City monitoring station. And we get the relevant weather data from the Weinan Meteorological Bureau, such as the corresponding temperature, wind direction, wind speed, relative humidity and other meteorological factors. The real-time concentration monitoring data in Tiyuguan are taken as an example, we plan to reflect the correlation between the mass concentration of PM_(2.5) and PM_(10) and the meteorological factors by the influence of the meteorological factors such as temperature, wind speed and relative humidity on the concentration of these particles. In order to study the relationship between mass concentration of PM_(10) and PM_(2.5) and meteorological factors, this paper mainly uses linear regression analysis to express the correlation between the them and the figure is mainly completed with Origin software. Results (1) The daily trends of PM_(10) and PM_(2.5) in winter and spring can be seen from the chat that the concentration of pollutants in winter during three years is higher in December and January and early February, and the main reason may be due to the impact of cold waves, resulting in an increase in central heating, and because of the restrictions of economic conditions and other aspects, the quality of residential coal is relatively poor, there is higher content of sulfide and increasing emissions to the air pollutants, so that the mass concentration value of pollutants is higher in this time period, at the same time China’s Spring Festival is aslo in winter, setting off a large number of firecrackers can not only increase the concentration of pollutants in the air, but aslo cause noise pollution. |
中文关键词 | 污染水平 ; 时间分布 ; 气象因素 ; 税收 |
英文关键词 | PM_(2.5) PM_(10) PM_(2.5) PM_(10) pollute level temporal distribution meteorological factors revenue |
语种 | 中文 |
国家 | 中国 |
收录类别 | CSCD |
WOS类目 | ENVIRONMENTAL SCIENCES |
WOS研究方向 | Environmental Sciences & Ecology |
CSCD记录号 | CSCD:6242300 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/237437 |
作者单位 | 1.长安大学地球科学与资源学院, 西安, 陕西 710054, 中国; 2.长安大学地球科学与资源学院;;中国科学院地球环境研究所, ;;黄土与第四纪地质国家重点实验室, 西安;;西安, ;; 710054;;710061 |
推荐引用方式 GB/T 7714 | 孟媛媛,符超峰,席建建,等. 渭南市区冬春季PM_(2.5)和PM_(10)时间分布特征及与气象因素的关系[J],2018,9(2):182-192. |
APA | 孟媛媛,符超峰,席建建,&王祎.(2018).渭南市区冬春季PM_(2.5)和PM_(10)时间分布特征及与气象因素的关系.地球环境学报,9(2),182-192. |
MLA | 孟媛媛,et al."渭南市区冬春季PM_(2.5)和PM_(10)时间分布特征及与气象因素的关系".地球环境学报 9.2(2018):182-192. |
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