Environment Carrying Capacity Evaluation of Coal Mining in Shanxi Province

2012 ◽  
Vol 518-523 ◽  
pp. 1141-1144 ◽  
Author(s):  
Dai Yong Cao ◽  
Cen Li Huang ◽  
Jian Wu ◽  
Huan Tong Li ◽  
Yong Dong Zhang

China will meet an increasing demand of the energy because of the growth of the economy, coal is being mined largely as the most important energy, but the mining brought in a series of construction of ecological environment problems. This paper established a comprehensive evaluation model for environmental impact of coal mining through three aspects of ecological stability, resource and environment carrying capacity, coal mining pressure with analytic hierarchy process (AHP). Based on this model, authors have evaluated the regional difference of ecological environment carrying capacity of coal mining areas in Shanxi province. The study results may be helpful to scientifically draw up the coal resources development strategy.

2010 ◽  
Vol 113-116 ◽  
pp. 488-494 ◽  
Author(s):  
Yue Jian Wang ◽  
Guang Yang ◽  
Hai Liang Xu

The water resources carrying capacity is an important component of natural resource carrying capacity in a country or region sustained development process. It is the key being related to using the water resources reasonably, which means vital to the sustained growth of the water resources, the social economy and the ecological environment concordant development.Taking the case of river basin in arid zone of the Manasi River Basin,The author evaluated water resources supporting capacity condition basin in different year of the Manasi River by establishing fuzzy comprehensive evaluation model. The results indicated that because of saving water technological progress and industry restructure advancement, the water resources carrying capacity of Manasi River will be improved in the future twenty years. The water resources supply and demand contradictory will be obtained certain alleviation, but the uneven of water resources space and time distribution is still the main restrictive factor of the development of society and economic and the ecological environment construction.


2010 ◽  
Vol 44-47 ◽  
pp. 206-212
Author(s):  
Yan Rong Wang ◽  
Qiao Ling Xu

to cope with the pressure of energy and ecological environment, automobile manufacture industry must implement green technology innovation. According to the characteristics of green technology innovation, the paper puts forward evaluation index system of green technology innovation capacity , establishes comprehensive evaluation model based on improved BP neutral algorithm by Matlab toolbox, and carries out empirical analysis of data from automobile manufacture industry, finally reaches a conclusion.


2014 ◽  
Vol 641-642 ◽  
pp. 53-57
Author(s):  
Yang Liu ◽  
Hao Wang ◽  
Jian Hua Wang ◽  
Xiang Dong Chen ◽  
Jia Hong Liu

Based on adequate consideration of status of water resources utilization and socio-economic development in the Shanxi Provinces, the AHP method was used to calculate the weights of each index and the fuzzy comprehensive evaluation of water resource carrying capacity in the Shanxi Province was carried out from 2006 to 2011. The evaluation results indicated that the overall level of the water resources carrying capacity in Shanxi Province was contained in critical state, however, a steady rise.


2022 ◽  
Vol 14 (2) ◽  
pp. 345
Author(s):  
Xinran Nie ◽  
Zhenqi Hu ◽  
Mengying Ruan ◽  
Qi Zhu ◽  
Huang Sun

The large-scale development and utilization of coal resources have brought great challenges to the ecological environment of coal-mining areas. Therefore, this paper has used scientific and effective methods to monitor and evaluate whether changes in ecological environment quality in coal-mining areas are helpful to alleviate the contradiction between human and nature and realize the sustainable development of such coal-mining areas. Firstly, in order to quantify the degree of coal dust pollution in coal-mining areas, an index-based coal dust index (ICDI) is proposed. Secondly, based on the pressure-state-response (PSR) framework, a new coal-mine ecological index (CMEI) was established by using the principal component analysis (PCA) method. Finally, the coal-mine ecological index (CMEI) was used to evaluate and detect the temporal and spatial changes of the ecological environment quality of the Ningwu Coalfield from 1987 to 2021. The research shows that ICDI has a strong ability to extract coal dust with an overall accuracy of over 96% and a Kappa coefficient of over 0.9. As a normalized difference index, ICDI can better quantify the pollution degree of coal dust. The effectiveness of CMEI was evaluated by four methods: sample image-based, classification-based, correlation-based, and distance-based. From 1987 to 2021, the ecological environment quality of Ningwu Coalfield was improved, and the mean of CMEI increased by 0.1189. The percentages of improvement and degradation of ecological environment quality were 71.85% and 27.01%, respectively. The areas with obvious degradation were mainly concentrated in coal-mining areas and built-up areas. The ecological environment quality of Pingshuo Coal Mine, Shuonan Coal Mine, Xuangang Coal Mine, and Lanxian Coal Mine also showed improvement. The results of Moran’s Index show that CMEI has a strong positive spatial correlation, and its spatial distribution is clustered rather than random. Coal-mining areas and built-up areas showed low–low clustering (LL), while other areas showed high–high clustering (HH). The utilization and popularization of CMEI provides an important reference for decision makers to formulate ecological protection policies and implement regional coordinated development strategies.


Author(s):  
Gengyin Li ◽  
Guodong Li ◽  
Ming Zhou

Abstract This article explores and establishes comprehensive evaluation index system of wind power accommodation ability considering microscopic index and macroscopic index, and the index system includes conventional evaluation indexes such as forecast deviation, simultaneity factor and anti-peak rate, also newly introduced evaluation indexes such as installed capacity, power adequacy and accommodation space. Bayesian weight modified method is used for solving index weights of 8 wind power accommodation indexes. The paper puts forward a comprehensive evaluation model of wind power accommodation ability based on improved radar chart method, and this model changes traditional radar chart fan-shaped sector to quadrilateral evaluation region, and increasing angle bisector can solve the problem that evaluation results are not unique. It constructs new area and perimeter vectors of radar chart, which make the evaluation results give consideration to level of aggregation and balance degree of evaluation objectives, and case study results show that this model has a certain practical value.


Author(s):  
Na An ◽  
◽  
Wei Zeng ◽  
Binman Yang ◽  
◽  
...  

Earthquakes have a great destructive effect on the geo-ecological environment of mountain towns, and the restoration of the geo-ecological environment after the disaster is of great significance to the sustainable development of mountain towns. This paper applies the improved ecological footprint method to build a geo-ecological restoration footprint evaluation model from the aspects of factors affecting the geological ecology. Moreover, Comprehensive evaluation of geo-ecology were selected to analyse the dynamic change process of geological ecology before and after the Lushan earthquake in 2010-2017. The results show that earthquake disasters have a long-term and dual impact on the geo-ecological environment of mountainous towns. Earthquake disasters can change the geo-ecological footprint by reducing the output of ecological products, changing the population composition, diet structure and even the fuel ratio, thereby affecting the geo-ecological restoration process for a long time. On the one hand, the effect of sustainable restoration of the ecology after the disaster in Lushan County has achieved initial results, the geo-ecological deficit has been reduced by more than 43%. But on the other hand, the comprehensive evaluation of ecological restoration in Lushan County is in an unsustainable state and the geo-ecological environment is facing tremendous pressure. Based on this, this article considers the degree of geoecological restoration in Lushan County, and proposes a countermeasure for future geological and ecological restoration in Lushan County.


Author(s):  
Xiaotong Xie ◽  
Xiaoshun Li ◽  
Weikang He

As a key element in China’s spatial planning, the development zoning of land space has become a focus of China’s current activity. During its rapid social and economic development, China has faced severe and diverse challenges regarding sustainable development, such as farmland occupation, environmental degradation, urban land disorder expansion, etc. Against this backdrop, research on the linkage between resource–environmental carrying capacity (RECC) and the development zoning of land space in the process of sustainable development has received increased attention, and an accurate evaluation of the RECC would provide useful guidance for Chinese policy makers to carry out the development zoning of land space. This paper uses Henan Province as an example to construct a comprehensive evaluation model of “resource carrying capacity (RCC)–eco–environmental carrying capacity (EECC)–socio–economic carrying capacity (SECC)”, which calculates the level of RECC in a provincial area. In addition, this paper designs a correlation model between the RECC and the development zoning of land space, which uses a three-dimensional magic cube evaluation model to analyze the development zoning layout of land space. The results showed that a geographical pattern exists, where in the southwestern areas of Henan Province have a higher RECC than the central and northeastern areas. The results also indicated that the land space patterns of Henan Province can be divided into seven types of areas through a three-dimensional magic cube evaluation model, which can better reflect the spatial differentiation characteristics of the comprehensive index of RECC. The results of this study offer an important reference for policy-makers to make decisions and also provide a scientific and pragmatic basis for the formulation of sustainable development strategies.


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