摘要
基于2008—2017年黄河流域工业SO_(2)和PM_(2.5)两类典型空气污染物数据,首先刻画了两者的空间演化格局,并运用空间面板杜宾模型(SPDM)从直接效应和间接效应两方面对两者的影响因素进行对比分析。结果表明:①工业SO_(2)和PM_(2.5)污染均存在显著的空间集聚特征,从东南至西北方向呈现梯度递减趋势;二者在城市尺度均存在显著的正向空间关联性,但PM_(2.5)污染的空间关联性比工业SO_(2)更强;②2008—2017年,工业SO_(2)和PM_(2.5)污染有所缓解,其中工业SO_(2)排放强度迅速下降;而PM_(2.5)质量浓度下降相对缓慢,仍是黄河流域主要的空气污染源。③产业结构、技术创新、能源效率、人口规模、经济发展、工业规模等是影响黄河流域空气污染的主要因素,但PM_(2.5)的影响因素更加复杂多样化。其中,技术创新能力和经济发展水平的提升虽然在研究期内加剧了本地工业SO_(2)污染的排放强度,但却能缓解周边城市的工业SO_(2)和PM_(2.5)污染;工业规模的扩大会加剧本地和邻近城市的PM_(2.5)污染。
The Yellow River Basin plays a very important strategic role in China’s economic and social development and ecological security.Based on the air pollution data of industrial SO_(2) and PM_(2.5) in the Yellow River Basin from 2008 to 2017,this article firstly describes the spatial evolution pattern of industrial SO_(2) and PM_(2.5) and then uses the spatial panel Durbin model(SPDM)to compare and analyze the influencing factors of the two types of atmospheric pollutants from the direct and indirect effects.The results are as follows:1)Both industrial SO_(2) and PM_(2.5) pollution have significant spatial agglomeration which shows a gradient decline trend from southeast to northwest direction.There is a significant positive spatial correlation between industrial SO_(2) and PM_(2.5) from the prefecture-level city scale while the spatial correlation of PM_(2.5) is stronger the that of industrial SO_(2).2)The pollution of industrial SO_(2) and PM_(2.5) had been alleviated from 2008 to 2017.The average emission intensity of industrial SO_(2) decreased rapidly while the average PM_(2.5) decreased relatively slowly.PM_(2.5) is still the main air pollution source in the Yellow River Basin.3)The optimization of the industrial structure(OIS),energy efficiency(EE),technological innovation(Inno),population(POP),economic development(pcGDP),and industrial scale(Ind)are the main factors affecting air pollution in the Yellow River Basin.However,the influencing factors of PM_(2.5) are more complex and diverse.The improvement of technological innovation and economic development will increase the emission intensity of local SO_(2) pollution while it can alleviate the pollution of industrial SO_(2) and PM_(2.5) in neighboring cities.The expansion of industrial scale aggravates air pollution both locally and in neighboring cities during the study period(2008-2017).Therefore,this article proposes policy recommendations from 3 aspects:improving the city’s innovation capability,accelerating the upgrading of the industrial structure an
作者
滕堂伟
谌丹华
胡森林
Teng Tangwei;Chen Danhua;Hu Senlin(The Center for Modern Chinese City Studies/School of Urban and Regional Science,East China Normal University,Shanghai 200062,China)
出处
《地理科学》
CSSCI
CSCD
北大核心
2021年第10期1852-1861,共10页
Scientia Geographica Sinica
基金
国家社会科学基金(19ZDA087)
华东师范大学优秀博士生学术创新能力提升计划(YBNLTS2020-021)资助。
