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中国工业废水排放格局及其驱动因素
引用本文:庄汝龙,宓科娜,梁龙武.中国工业废水排放格局及其驱动因素[J].长江流域资源与环境,2018,27(8):1765.
作者姓名:庄汝龙  宓科娜  梁龙武
作者单位:(1.华东师范大学中国现代城市研究中心,上海 200062;2.上海师范大学城市发展研究院,上海 200234;3.中国科学院地理科学与资源研究所,北京 100101)
摘    要:基于2005~2015年中国31个省(市、自治区)的环境统计数据,运用GIS空间分析方法和SARAR计量模型系统刻画了工业废水排放的时空格局演变与空间集聚特征,并进一步揭示其驱动因素及区域差异性。结果表明:(1)研究时段内,工业废水排放逐年减少,但废水排放总量不断上升,表明中国废水排放主导源已经发生替变;(2)中国工业废水排放量总体呈现“东南高、西北低”的省际格局特征,胡焕庸线可看作工业废水排放“热区”与“冷区”的分界线;(3)中国工业废水排放表现出明显的空间集聚特征,集聚趋势逐年加强;(4)SARAR模型估计结果显示,城镇化推进、第二产业发展、人口增长依次是中国工业废水排放的主要驱动因素。与全国相比,热区的SARAR模型估计结果与上述结论基本一致,但各驱动因素的影响效应略有不同


China’s Industrial Wastewater Discharge Pattern and Its Driving Factors
ZHUANG Ru long,MI Ke na,LIANG Long wu.China’s Industrial Wastewater Discharge Pattern and Its Driving Factors[J].Resources and Environment in the Yangtza Basin,2018,27(8):1765.
Authors:ZHUANG Ru long  MI Ke na  LIANG Long wu
Institution:(1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China; 2. Institute of Urban Study, Shanghai Normal University, Shanghai 200234, China; 3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Abstract:Based on the environmental statistics of 31 provinces (municipalities and autonomous regions) in China from 2005 to 2015, Using GIS spatial analysis method and SARAR econometric model, the temporal and spatial pattern of industrial wastewater discharge and the characteristics of spatial agglomeration are described, and their driving factors and regional differences are further revealed. The results showed that:(1)During the research period, the discharge of industrial wastewater decreased year by year, but the total amount of wastewater discharged continuously increased, indicating that the main source of wastewater discharge in China has been transformed.(2)China’s industrial wastewater discharge shows a spatial pattern of “southeast high and northwest low”, and Hu Huanyong line can be regarded as the dividing line between China’s industrial wastewater discharge “hot zone” and “cold zone”.(3)China’s industrial wastewater discharge has shown a clear spatial positive correlation, and spatial agglomeration trend increased year by year;(4)Estimates of SARAR model showed that urbanization rate, proportion of the secondary industry and number of resident population are main driving forces of China’s industrial wastewater discharge. Compared with the whole country, the SARAR model estimation results of the hot zone are basically the same as the above conclusions, but the effect of each driving force is slightly different
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