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Characterization of Air Pollution Index and Its Affecting Factors in Industrial Urban Areas in Northeastern China

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Characterization of Air Pollution Index and Its Affecting Factors in Industrial Urban Areas in Northeastern China Pol. J. Environ. Stud. Vol. 24, No. 4 (2015), 1579-1592 DOI: 10.15244/pjoes/37757 Original Research Characterization of Air Pollution Index and Its Affecting Factors in Industrial Urban Areas in Northeastern China Jiping Gong1, 2, Yuanman Hu1*, Miao Liu1, Rencang Bu1, Yu Chang1, Chunlin Li1, Wen Wu1, 2 1State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China 2University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China Received: 22 December 2014 Accepted: 18 February 2015 Abstract The air pollution index (API) and meteorological parameters in four cities (Harbin, Changchun, Shenyang, and Dalian) in northeastern China were analyzed in 2001-12, to study the characterization of the API and its influential factors. According to the monitoring data, air pollution is a significant problem in north- eastern China, with all four industrial cities heavily polluted, especially Shenyang. During the study period, the API in the cities was down slightly. Clear interannual, seasonal, and monthly variations of air pollution were determined, which indicated that air quality was poorest in winter (especially November and December), but improved in summer (especially July and August). Air quality level varied in different weather conditions. Water vapor pressure was the most influential meteorological factor with regard to the API, followed by air temperature and surface pressure. Wind direction was found to be an important influential factor with regard to air pollution, because air flow from different directions has an impact on the accumulating or cleaning process of pollutants. However, the dominant meteorological factors influencing air pollution varied in each of the cities in terms of season, time scale, and level of air pollution. Our results highlight the significant impact of synoptic weather on API in northeastern China. Keywords: air pollution index (API), temporal characteristics, wavelet analysis, meteorological fac- tors, northeastern China Introduction as China. World Bank research has highlighted that 16 out of the top 20 most air-polluted cities in the world are locat- Air pollution is a major urban environmental problem. ed in China [1]. The increase in impervious surfaces fol- Urban air pollution is a well-documented and widely lowing urbanization without reasonable urban planning, researched topic because of its great impact on public and increased energy consumption in response to the health, well-being, and the environment, especially in growth of the urban population in metropolitan regions, rapidly developing and newly industrialized countries such exacerbate air pollution [2]. Generally, the causes of air pollution within a region are *e-mail: [email protected] complex and depend mainly on synoptic patterns and [email protected] anthropogenic emission densities [3]. In fact, in addition to 1580 Gong J., et al. emission sources, meteorological factors such as relative Air pollution in China displays different characteristics humidity, pressure, wind, and temperature might contribute in different districts and periods. Statistical studies using either directly or indirectly to the level of pollutants within meteorological data and air pollution monitoring data have a region, or transport pollutants to other distant regions via confirmed that air pollutants may be related to meteorolog- complex interactions between various processes over dif- ical conditions directly, e.g. air cycle, wind, and tempera- ferent spatiotemporal scales [4, 5]. A number of weather ture [16, 17], or indirectly, e.g. increase in energy demand elements could exert influence over the variations in levels for heating in cold seasons or energy consumption on work- of air pollution, but previous studies have shown that there ing days [18]. However, the most important role of meteo- is a substantial difference in the capacity for air pollution rology is the effect on the dispersion, transformation, and loading under different synoptic patterns and different removal of air pollutants from the atmosphere and, finally, regional conditions. Research has revealed that the synop- the effects of spatial-temporal characteristics and pollution tic pressure pattern and its evolution are important factors levels of air pollutants. behind regional air pollution processes in northern China Many Chinese studies on air pollution and its causes [6]. However, there are difficulties in establishing direct have focused primarily on polluted areas such as the Pearl links between weather parameters and air pollutant con- River Delta region [19], the Yangtze River Delta region [20, centrations, because the relationship between levels of air 21], and the Beijing-Tianjin-Hebei region [22, 23]. pollution and meteorological conditions is complex. However, few studies on air pollution and the long-term Statistical studies based on meteorological data and air trend of change in air quality have been performed in north- pollution monitoring data have confirmed that meteoro- easternern China [24-26]. Nearly one third of the resource- logical conditions affect air pollution in numerous ways, based cities in China are located in the northeast [24], and that there are obvious seasonal, monthly, and weekly which is the area in which China’s heavy industry is found. variations in concentrations of air pollution associated with Activities in this region are characterized by resource- meteorological conditions. Wavelet analysis [7, 8], the sea- reliant leading industries including iron/steel, coal, crude sonal-trend decomposition procedure based on loess (STL) oil, machinery, metallurgy, and chemical production [27]. [9, 10], and ridit analysis [11] have been widely used in As an energy base and region of heavy industry, northeast- trend analysis. Principal component analysis [12, 13] and ernern China plays an important role in the economic multiple linear regression [14, 15] are often employed to development of the entire country. Therefore, there is an analyze the predictive relationship between dependent urgent need to explore the formation mechanisms, influ- variables (air pollution monitoring data) and the explana- encing factors, and measures for the mitigation of air pollu- tory variables (meteorological data). Apart from emission tion. This study focused on the following: sources, the interactions between meteorological condi- (1) Characterization of temporal variations of the API in tions and air quality within any particular region can be four traditional industrial cities in northeasternern further complicated by modified aerodynamic roughness China: Harbin, Changchun, Shenyang, and Dalian dur- and the urban heat island effect. Hence, it is clearly under- ing 2001-12, stood that air quality not only depends on emission (2) Examination of the correlation between meteorological sources, but also, more crucially, on weather elements with factors and API. This paper is expected to provide some multifaceted characteristics that change over various spa- support for air pollution control improvement in this tiotemporal scales. region. Fig. 1. Location of study area. Characterization of Air Pollution... 1581 Data and Methods Site Distribution Northeastern China encompasses three main provinces: Liaoning, Jilin, and Heilongjiang, and the eastern area of Inner Mongolia. In this study, four major industrial cities (Harbin, Changchun, Shenyang, and Dalian) were selected as sample cities, based partly on latitude and their location with respect to the sea. Location and information of the four Main industry typical industrial cities examined in this study were shown food, petrochemical in Fig. 1 and Table 1. Harbin, Changchun, and Shenyang are within the temperate continental climate zone, located Equipment manufacturing, medical, in the Northeastern Plain, they face the Changbai Mountain Automobile, medical, food, photoelectronic on the east, the Da Hinggan Mountains on the west, and the Petrochemical, equipment manufacturing, ship Equipment manufacturing, metal smelting, medical Xiao Hinggan Mountains to the north, whereas Dalian is a manufacturing, electronic information and software coastal city, affected by the continental monsoon and ocean climate. All the cities characterized by a long and chilly 5.9 9.94 winter (about five to six month) when coal are heavily used 7.57 7.52 (million) for heating purpose. Population Data 69 63 62 67 (%) humidity Ambient Air Quality Data Relative air Currently, only three pollutants are included in the API in China: SO2, NO2, and PM10. According to new ambient air quality standard by Ministry of Environmental value of air temperature Protection of the People’s Republic of China in 2012, 24ºC in July 24.8ºC in July 23.9ºC in July 23.5ºC in July Average monthly Average -5.0ºC in January/ -14.0ºC in January/ -18.3ºC in January/ PM2.5, O3, and CO were added, while API calculation was -16.1ºC in January/ unchanged. The daily API value for a 12-year period from 1 January 2001 to 31 December 2012 for the sample cities, API value and pollutant concentrations value from 25 wind winter, summer southerly mainly in mainly in January 2013 to 5 February 2013 in Shenyang were down- Northerly tions of the wind blows wind blows loaded from the website of the Ministry of Environmental Main direc- Protection of the People’s Republic of China (http://data- center.mep.gov.cn/). (mm) 740.8 786.0 718.3 1059.3 APIiULULiLL (API API ) / (C u C ) (C C
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