Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of Water Resources & Hydropower Engineering Sciences, Wuhan University, Wuhan 430000, China.
Sci Total Environ. 2022 Jan 20;805:150232. doi: 10.1016/j.scitotenv.2021.150232. Epub 2021 Sep 9.
With the rapid development of urban agglomerations, urban water use and wastewater environments have gradually constrained sustainable development and caused increasing concern. In this paper, we selected the urban agglomeration on the middle reaches of the Yangtze River (UAMRYZ) as a typical area. We proposed an integrated urban water use and wastewater treatment (UWUWT) system and its urban water use (UWU) subsystem and urban wastewater treatment (UWT) subsystem. Moreover, an integrated two-stage slacks-based measure (SBM) data envelopment analysis (DEA) model was used to evaluate the efficiency of the UWUWT system and its subsystem during 2010 to 2017. Additionally, the multiscale geographically weighted regression (MGWR) model was adopted to analyze the influence mechanism of each factor on the defined system. The results indicated that the tendency of UWU efficiency and UWUWT efficiency were similar and mainly showed the same trend with an 'N' shape in a time-dependent manner for the UAMRYZ and provinces, respectively. Furthermore, the UWU efficiency and UWUWT efficiency of each city showed strong spatiotemporal heterogeneity. The UWT efficiency of the UAMRYZ and its representative cities was stable in the region and always had a higher value. With continuous economic development and increased interregional foreign trade, the UWU subsystem efficiency and the UWUWT system efficiency had a significant increase for cities along the entire river in the Yangtze Basin. The regional differences of the overall UWU efficiency, UWT efficiency and UWUWT efficiency gradually decreased and the efficiency has gradually improved from 2010 to 2017. Attribution analysis showed that the secondary industry was the main constraining factor, while the water resource was the most acceleration factor for the UWUWT system in most areas and the UWT subsystem for all cities. Our study evaluated the specific insufficiencies of the defined system and supported regulatory policies.
随着城市群的快速发展，城市用水和废水环境逐渐制约了可持续发展，并引起了越来越多的关注。本文选取长江中游城市群（UAMRYZ）为典型区域，构建了综合城市用水和污水处理（UWUWT）系统及其城市用水（UWU）子系统和城市污水处理（UWT）子系统。采用集成两阶段基于松弛的测度（SBM）数据包络分析（DEA）模型，对 2010-2017 年 UWUWT 系统及其子系统的效率进行了评价。采用多尺度地理加权回归（MGWR）模型分析了各因素对系统的影响机制。结果表明，UWU 效率和 UWUWT 效率的变化趋势相似，主要呈时间依赖性的“N”型变化。此外，城市群及各省份的 UWU 效率和 UWUWT 效率均表现出较强的时空异质性。城市群内各城市 UWU 效率和 UWUWT 效率的时空差异较大，且均表现出较强的时空异质性。UAMRYZ 及代表性城市的 UWT 效率在区域内较为稳定，且始终处于较高水平。随着经济的持续发展和区域间对外贸易的增加，长江流域各城市 UWU 子系统效率和 UWUWT 系统效率均呈显著上升趋势。UWU 整体效率、UWT 效率和 UWUWT 效率的区域差异逐渐减小，2010-2017 年效率水平逐渐提高。归因分析表明，在大部分地区，第二产业是 UWUWT 系统的主要制约因素，而水资源是 UWUWT 系统和各城市 UWT 子系统的主要促进因素。本研究评估了所定义系统的具体不足之处，并为监管政策提供了支持。
