Rapid industrialization and urbanization in China have led to a rapid increase in the number of brownfields, however there is a lack of identification of the spatial extent of brownfields in cities and accurate assessment of brownfield redevelopment. Based on the relationship between brownfields and urban complex ecosystems, this paper defines brownfields in China and constructs a comprehensive evaluation index system including socio-economic and ecological subsystems. Using Wuhu City as empirical evidence, 19 brownfields were identified using remote sensing data and field surveys. Based on the detection of soil contaminants in brownfields, a fuzzy integrated evaluation method was used to suggest their redevelopment direction. It is found that the government’s planned land use types and the brownfield redevelopment evaluation results match to a large extent, but social, economic and ecological environmental factors should be more fully considered. At the same time, the identification and redevelopment of brownfield sites in the city as a whole need to be carried out by the government’s professional forces in order to obtain more effective and scientific conclusions.
Rapid urbanization in mega-urban agglomerations disturbs the balance of carbon storage supply and demand (CSD) and constrains the achievement of sustainable development goals. Here, we developed a socio-ecological system (SES) framework coupled with ecosystem services (ES) cascade and DPSIR model to systematically analyze the impacts and responses of urbanization affecting CSD. We quantified urbanization and CSD using multi-source remote sensing data, such as land use and night lighting, together with related socio-economic data, such as total energy consumption, population and GDP. We found that from 2000 to 2020, the urbanization of Yangtze River Delta region (YRD) led to a decrease of 2.75% in carbon storage supply and an increase of 226.45% in carbon storage demand. However, carbon storage supply was still larger than carbon storage demand, and the spatial mismatch of CSD is the most important problem at present. Therefore, it is necessary to explore the response measures from the comprehensive perspective of SES. We identified key ecological conservation areas using a Marxan model to protect the carbon storage capacity in ecological subsystems, and promoted a carbon compensation scheme based on both the grandfather principle and the carbon efficiency principle, reconciling the contradiction between ecological conservation and socio-economic development in the social subsystem. Finally, this study quantified the threshold of urbanization based on the carbon neutrality target at which CSD reaches an equilibrium state. This study proposed a SES framework, and a set of methodologies to quantify the relationship between urbanization and CSD, which will help mega-urban agglomerations to promote harmonious development of urbanization and ecological conservation and to achieve the carbon peak and carbon neutrality targets proposed by the Chinese government.
<div>China has promised that CO2 emissions per GDP in 2030 would decrease by 60% to 65% than that in 2005, and proposed the goal of achieving carbon neutral by 2060. In order to fulfill these goals, Carbon Emissions Trading (CET) and Tradable Green Certificates (TGC) have been implemented in the power industry during the &#8216;13th five-year&#8217; period. We firstly simulate the combined effects of TGC and CET on the electricity market from 2020 to 2026. Further, we build a policy synergy model to explore the optimization relationship between TGC and CET systems. The results show that, the power supply structure can be optimized under TGC and CET systems. The growth rate of CO2 emissions from the power industry will slow down, accelerating peaking CO2 emissions of the power industry. The national CO2 emissions reduction goal (1.185&#8211;1.037 tons /RMB 10,000 yuan by 2030) is expected to be achieved. There may be policy redundancy between TGC and CET systems. It is determined by how to set renewable energy objective and CET quota objective. Under multiple policy objectives, the key is to obtain the policy synergy intervals for staged optimization. Finally, we propose some suggestions on the improvement of TGC and CET mechanisms, and combined implementation and optimization of multiple emission reduction policies.</div>
National Forest Park is the highest hierarchy of nature reserve system in China, which provides enormous ecosystem service values (ESV). However, few researchers focus on its coupling with socioeconomics. Here we analyze temporal and spatial variation of ecosystem service value of National Forest Parks (FESV) under the transformation of forest policy and market demand at national scale, and spatial dynamics of coupling coordination degree between FESV and socio-economics at different stage. The results show that temporal variation of FESV exhibit obvious phase characteristics, with the third phase has the largest growth rate (50.71). The spatial evolution of FESV has gone through a process from point to area, mainly showing aggregation distribution concentrated in Heilongjiang, Sichuan and Tibet, accounting for 32.08% of nationwide total ESV. The coupling coordination degree between FESV and socio-economic develop from maladjusted to transitional and then to coordinated stage, which has reached 0.83 at the fourth stage. By the end of the fourth stage, up to 20 provinces develop over transitional stage, but 17 provinces are still at maladjusted stage. These results indicate that further research and management should focus on how to balance socio-economic development and the construction of National Forest Parks.
The quality of large complex projects is more difficult to manage,becausethere are more quality interfaces and quality conflicts. This paper aims to explore the quality coordination approaches of large complex projects from the quality chain perspective, so as to reduce the quality conflicts. We firstly give the definition and operation mechanism of the macro quality chain with comparing the supply chain quality management and the quality chain management. The analysis results indicate the feasibility and necessity to introduce the quality chain management into projects construction management. The large complex project is divided into five importance levels that have critical control points respectively. Finally, based on the optimization concept model, the optimization measures of quality capability are concluded to designate the quality improvement directions. The research results may provide a new theoretical perspective and management support.
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