作为环境破坏的负面影响,如空气质量下降和空气污染,变得更加明显,世界各地的环境意识正在增长,迫使各国采取措施减轻损害。中国承诺实现空气质量改善目标,以应对全球环境问题,然而,环境气象经济指数对空气质量的时空分异及其驱动因素尚未得到充分分析。推进区域协同治理大气污染,实现城市可持续发展,2013-2020年山东省空气质量时空差异及其驱动因素分析.结果表明,二氧化硫(SO2)的浓度,二氧化氮(NO2),颗粒物2.5(PM2.5),颗粒物10(PM10),一氧化碳(CO-95per)呈下降趋势(SO2浓度下降84%,CO-95per浓度下降90%)。从内陆地区到沿海地区,空气质量得到了改善。SO2、NO2、PM10、PM2.5和CO-95per污染物指标呈显著正相关(P<0.05)。气温和降水与SO2,NO2,PM10,PM2.5和CO-95per的浓度呈显着负相关,但与臭氧(O3-8h)呈显着正相关。SO2,NO2,PM2.5,PM10,CO-95per,重污染天数与第二产业比例呈极显著正相关,与第三产业比例、生活垃圾量呈极显著负相关。除O3-8h外,省会经济圈(PCEC)和鲁南经济圈(SSEC)污染物指数与地区生产总值和环境保护投资呈显著负相关(P<0.05),山东东部经济圈(ESEC)的环境保护投资与空气污染指数无显著相关性。蔬菜播种面积与SSEC污染物指数呈显著负相关。污染排放与环境保护投资的关系已从PCEC的高污染-低投资转变为低污染-低投资,ESEC和SSEC,PCEC的拐点在2020年,2019年ESEC,2020年为SSEC。研究结果为改善区域空气质量提供了经验证据和理论支持,实现高质量发展。根据这些发现,已经发现气象要素,污染物排放,社会经济因素和农业数据影响空气质量。这些结果可以为多种污染物的协同调控提供有意义和重要的支持。
As the negative repercussions of environmental devastation, such as air quality decline and air pollution, become more apparent, environmental consciousness is growing across the world, forcing nations to take steps to mitigate the damage. China pledged to achieve air quality improvement goal to combat global environment issue, yet the spatial-temporal differentiation and its driving factors of environment-meteorology-economic index for air quality are not fully analysed. To promote regional collaborative control of air pollution and achieve sustainable urban development, spatial and temporal different and its driving factors of air quality in Shandong Province during 2013-2020. Results revealed that concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter 2.5 (PM2.5), particulate matter 10 (PM10), and carbon monoxide (CO-95per) exhibited decreasing trend (SO2 concentrations decreasing 84 % and CO-95per concentrations decreasing 90 %). Air quality was improved from inland areas to coastal areas. Pollutant indicators of SO2, NO2, PM10, PM2.5, and CO-95per demonstrated significant positive correlation (P < 0.05). Air temperature and precipitation are significantly negatively correlated with concentrations of SO2, NO2, PM10, PM2.5, and CO-95per but significantly positively correlated with ozone (O3-8 h). SO2, NO2, PM2.5, PM10, CO-95per, and proportion of days with heavy pollution are strongly positively correlated with proportion of secondary industry but strongly negatively correlated with proportion of tertiary industry and volume of household waste. Except for O3-8 h, pollutant index of Provincial Capital Economic Circle (PCEC) and Southern Shandong Economic Circle (SSEC) has significant negative correlation (P < 0.05) with regional gross domestic product and investment in environmental protection; however, investment in environmental protection of Eastern Shandong Economic Circle (ESEC) has no significant correlation with air pollution index. There was significant negative correlation between vegetable sowing area and SSEC pollutant index. The relationship between pollution emission and investment in environmental protection has shifted from high pollution-low investment to low pollution-low investment in PCEC, ESEC and SSEC, and the inflection point was in 2020 for PCEC, 2019 for ESEC, and 2020 for SSEC. Those results provide empirical evidence and theoretical support for the improvement of regional air quality, aiming to achieve high-quality development. According to these findings, it has been found that meteorological elements, pollutant emission, socio-economic factors and agricultural data affect air quality. Those results could provide meaningful and significant supporting for synergistic regulation of diverse pollutants.