Establishment and application of the environment evaluation model for beneficiation plant.

In order to evaluate the beneficiation plant environment in a more scientific and reasonable way, this paper took the workshop environment of the beneficiation plant as the research object. This paper divided the beneficiation plant into 7 evaluation units according to its functions. The evaluation indices are dust, noise, light environment, microclimate, benzene, toluene and xylene. This paper combines the G1 method and the entropy weight method to evaluate the weight of each evaluation index, the element extension model of the concentrator working environment is established by the element analysis method, and the matter element analysis method is used to establish an evaluation index system of a beneficiation plant in East China. The results show that the evaluation level of the breaking workshop and the auxiliary facilities are unqualified, the auxiliary facility is qualified, the culling workshop, culled yard and accessory building are medium, the screening workshop and grinding workshop are good.

[Spatial-temporal Evolution of Ecological Vulnerability in Beijing-Tianjin-Hebei Region Based on PSRM Model].

As one of the three major urban agglomerations in China, the Beijing-Tianjin-Hebei Region has strong economic strength but its ecological fragility is very prominent. To pursue the comprehensive development of economy and ecology, it is very important to analyze the ecological environment in the Beijing-Tianjin-Hebei Region. Here, the Beijing-Tianjin-Hebei Region was selected as the research area, and 19 indicators were selected to construct an evolution system based on the PSRM model. The temporal and spatial evolution characteristics of ecological vulnerability in the Beijing-Tianjin-Hebei Region were explored by combining the order relation method, CRITIC method, Theil index, and hot spot analysis, and the influencing factors were calculated via geographic detector. The results showed that:① the ecological vulnerability first increased and then decreased in the Beijing-Tianjin-Hebei Region. The vulnerable areas showed a northeast-southwest trend, and the ecological environment in the northeast and southwest regions was better than that in the central and southern regions. The area of slight vulnerability in 2014 increased by 6803.01 km2 compared with that in 2009. The area of mild vulnerability decreased by 130.41 km2, and the area of moderate vulnerability decreased by 26537.31 km2 compared with that in 2009. The areas of severe and extremely vulnerable status increased by 19512.9 km2 and 351.81 km2, respectively, compared with those in 2009. The habitat situation in the Beijing-Tianjin-Hebei Region improved significantly from 2014 to 2019. Compared with that in 2014, the areas of mild, moderate, severe, and extremely vulnerable decreased by 2248.29 km2, 2220.21 km2, 7988.67 km2, and 55.98 km2, respectively. The light area increased by 12513.15 km2 compared with that in 2014. ② According to the calculation results of the Theil index, the spatial correlation degree of ecological vulnerability in the Beijing-Tianjin-Hebei Region exhibited a V-shaped fluctuation, and the spatial pattern of the cold and hot areas was predominantly consistent with that of the vulnerability. ③ Biological abundance, PM10, and the human disturbance index had a significant influence on the spatial differentiation of ecological vulnerability in the Beijing-Tianjin-Hebei Region. Based on the results of ecological vulnerability analysis, some suggestions on the ecological environment and sustainable development in the Beijing-Tianjin-Hebei Region were proposed.

The redevelopment mode selection framework for Third Front Brownfields in China.

Unlike most brownfields located in the urban center, there is a kind of special brownfields produced in the Third Front Construction (TFC) period of China, and in turn they are named the Third Front Brownfield (TFB) in this paper. In addition to commercial value, other values should also be considered when TFBs are redeveloped, which makes they may need a specific protective reuse way and their revitalization process is relatively slower. Therefore, it is of great significance to study the redevelopment mode of TFBs. Accordingly, this paper presents a redevelopment mode selection framework to support stakeholders' investment decision-making and facilitate the reuse of TFBs. First, a previous case base including two sets is developed to conduct experience mining. In specific, an attribute set and a TFB redevelopment mode set of previous successful cases are established through literatures and expert interviews. Second, the weights of abovementioned attributes are determined by using the G1 method. Third, a concept of matching rate is defined based on the Attribute Similarity Model (ASM) to search the similarity between the new TFB and previous cases so that stakeholders can get advice on the redevelopment of the new TFB. A case study is conducted to show the effectiveness of the proposed framework and some policy suggestions are made according to the study process.

Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method.

To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation method of cold chain logistics enterprises based on the combined empowerment-TOPSIS was proposed. Firstly, from the five dimensions of cold supply chain capacity, service quality, economic efficiency, informatization degree and development ability, a comprehensive evaluation system of logistics enterprises' sustainable development is constructed, which consists of 16 indicators, such as storage and preservation capacity, distribution accuracy, and equipment input rate. Then, G1 method and entropy weight method are used to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated with the objective of minimizing the deviation of the subjective and objective weighted attributes. Finally, the TOPSIS method is used to calculate the comprehensive evaluation indicators. The results show that the established performance evaluation model can effectively evaluate the performance of fresh agricultural products logistics enterprises and provide theoretical basis for enterprise logistics management.