School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China.
School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China.
Ecotoxicol Environ Saf. 2024 Oct 1;284:116934. doi: 10.1016/j.ecoenv.2024.116934. Epub 2024 Aug 24.
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 (SO), nitrogen dioxide (NO), particulate matter 2.5 (PM), particulate matter 10 (PM), and carbon monoxide (CO-95per) exhibited decreasing trend (SO concentrations decreasing 84 % and CO-95per concentrations decreasing 90 %). Air quality was improved from inland areas to coastal areas. Pollutant indicators of SO, NO, PM, PM, and CO-95per demonstrated significant positive correlation (P < 0.05). Air temperature and precipitation are significantly negatively correlated with concentrations of SO, NO, PM, PM, and CO-95per but significantly positively correlated with ozone (O-8 h). SO, NO, PM, PM, 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 O-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.
随着环境破坏的负面影响，如空气质量下降和空气污染，在全球范围内引起了更多的关注，迫使各国采取措施减轻损害。中国承诺实现改善空气质量的目标，以应对全球环境问题，但空气质量环境气象经济指标的时空分异及其驱动因素尚未得到充分分析。为了促进区域协同控制空气污染，实现可持续城市发展，本研究分析了 2013-2020 年山东省空气质量的时空分异及其驱动因素。结果表明，二氧化硫（SO）、二氧化氮（NO）、细颗粒物 2.5（PM）、细颗粒物 10（PM）和一氧化碳（CO-95per）的浓度呈下降趋势（SO 浓度下降 84%，CO-95per 浓度下降 90%）。空气质量从内陆地区向沿海地区改善。SO、NO、PM、PM 和 CO-95per 的污染物指标呈显著正相关（P<0.05）。气温和降水与 SO、NO、PM、PM 和 CO-95per 的浓度呈显著负相关，但与臭氧（O-8h）呈显著正相关。SO、NO、PM、PM、CO-95per 和重污染天数比例与第二产业比例呈强正相关，与第三产业比例和生活垃圾量呈强负相关。除 O-8h 外，省会经济圈（PCEC）和鲁南经济圈（SSEC）的污染物指数与区域生产总值和环境保护投资呈显著负相关（P<0.05）；然而，鲁东经济圈（ESEC）的环境保护投资与空气污染指数没有显著相关性。蔬菜播种面积与 SSEC 污染物指数呈显著负相关。PCEC、ESEC 和 SSEC 的污染排放与环境保护投资之间的关系已从高污染-低投资转变为低污染-低投资，拐点出现在 2020 年的 PCEC、2019 年的 ESEC 和 2020 年的 SSEC。这些结果为改善区域空气质量提供了经验证据和理论支持，旨在实现高质量发展。根据这些发现，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。这些结果为协同调控多种污染物提供了有意义和重要的支持。
