|
|||||
|
|
| 中国工业烟粉尘排放时空演化及其影响因素 | |
| 引用本文： | 郭政,姚士谋,吴常艳.中国工业烟粉尘排放时空演化及其影响因素[J].地理科学,2020,40(12):1949-1957. |
| 作者姓名： | 郭政 姚士谋 吴常艳 |
| 作者单位： | 1.中国科学院南京地理与湖泊研究所流域地理学重点实验室，江苏 南京 210008 2.中国科学院大学，北京 100049 3.浙江工商大学经济学院，浙江 杭州 310000 |
| 摘 要： | 采用空间分析和空间杜宾模型等方法，研究1999—2017年中国工业烟粉尘排放时空演化特征及其影响因素。结果表明：① 中国工业烟粉尘排放空间分布差异明显，其排放的基尼系数和污染物分布指数均呈现下降态势，空间集中程度有所缓和。② 中国工业烟粉尘排放空间分布呈东北?西南走向，其排放中心不断由东南向西北方向迁移。③ 中国工业烟粉尘排放存在空间相关性和空间溢出效应，其冷热点区空间分布发生显著变化。④ 能源消耗、第二产业比重、人口密度和经济发展水平的提升将会增加工业烟粉尘排放，而外资水平、治理技术水平和环境规制力度的提升则有利于减少工业烟粉尘排放。 |
| 关 键 词： | 工业烟粉尘排放 空间溢出 空间杜宾模型 省域单元 |
| 收稿时间： | 2019-11-04 |
| 修稿时间： | 2020-03-02 |
Spatial-temporal Pattern of Industrial Soot and Dust Emissions in China and Its Influencing Factors |
|
| Guo Zheng,Yao Shimou,Wu Changyan.Spatial-temporal Pattern of Industrial Soot and Dust Emissions in China and Its Influencing Factors[J].Scientia Geographica Sinica,2020,40(12):1949-1957. | |
| Authors: | Guo Zheng Yao Shimou Wu Changyan |
| Institution: | 1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, Jiangsu, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. School of Economics, Zhejiang Gongshang University, Hangzhou 310000, Zhejiang, China |
| Abstract: | This essay intended to evaluate the spatial-temporal characteristics and driving factors of industrial soot and dust emissions in the provinces of China from 1999 to 2017. The data were collected and analyzed using different methods such as Gini coefficient, pollutant distribution index, standard deviational ellipse analysis, exploratory spatial data analysis and SDM model. The study concluded that: 1) The trend for industrial soot and dust emissions ratio and area ratio in different types of districts is inconsistent. The emission distribution in high, medium, relatively low and low areas, decreased significantly, however, at a relatively high emissions areas expanded significantly. 2) The Gini coefficient, disequilibrium index and concentration index of industrial soot and dust emissions in China are all fluctuating and decreasing, indicating that their spatial distribution presents a diffusion trend. 3) The standard deviational ellipse flatness of industrial soot and dust emissions revealed a significant decline, indicating that the direction of its spatial distribution was weakened. The average azimuth angle is 32.428°, which indicates that the spatial distribution pattern of industrial soot and dust emissions is in a northeast-southwest direction, which is basically consistent with the trend of industrial distribution in China. In addition, the standard deviational ellipse of industrial soot and dust emissions short axis expansion is much higher than that of long axis expansion. This implies that the evolution of spatial distribution of industrial soot and dust emissions in China is mainly due to the growth of the eastern and Western directions. In the meantime, the coverage area of the standard deviational ellipse is increasing, indicates the expanding of spatial distribution of industrial soot and dust emissions in China. Furthermore, the standard deviational ellipse center of industrial soot and dust emissions in China gradually moved from Henan Province to Shanxi Province. In the meantime, the spatial distribution of industrial soot and dust emissions in China tends to be stable after great changes. 4) The global Moran’s I of industrial soot and dust emissions in China changed from 0.126 to 0.312 at 5% significance test. Thus, there was a spatial correlation in the spatial distribution of industrial soot and dust emissions in China. Furthermore, the number of provinces in hotspots and coldspots of industrial soot and dust emissions in China increased, provinces in transition-spots and sub-hotspots decreased, while the number of provinces in sub-coldspots unchanged. 5) The increase of energy consumption, proportion of secondary industry, population density and economic development level will increase the emission of industrial soot and dust, while the improvement of foreign investment level, governance technology level and strength of environmental regulation will help to reduce the emission of industrial soot and dust. |
| Keywords: | emission of industrial soot and dust spatial spillover spatial dubin model provincial unit |
| 点击此处可从《地理科学》浏览原始摘要信息 | |
| 点击此处可从《地理科学》下载免费的PDF全文 | |