Regional difference analysis of ecological carrying capacity based on an emergy in Shaanxi province

Author(s):  
B.H. Li ◽  
D.W. Jin ◽  
G.R. Ge ◽  
Y.D. Guo
2019 ◽  
Vol 26 (1) ◽  
pp. 1
Author(s):  
Mengyi HUANG ◽  
Shannan XU ◽  
Yong LIU ◽  
Yayuan XIAO ◽  
Teng WANG ◽  
...  

2013 ◽  
Vol 295-298 ◽  
pp. 987-991
Author(s):  
Guan Nan Cui ◽  
Xuan Wang

To improve the ecological footprint model in aspect of reflecting sustainability of the economic, social and technological, the emergy analysis and socio-economic system development index were introduced into the model. The modified ecological footprint model was applied in the calculation of ecological carrying capacity and ecological footprint in Tibet, China. The ecological carrying capacity/cap is 19.13hm2, and the ecological footprint/cap is 8.96hm2. The result shows that the Tibet region is under the condition of ecological surplus and it is suitable for further programs development to some extent. But the high proportion of energy resources, cement and fertilizer utility should draw attention during the exploitation or construction progress.


2012 ◽  
Vol 518-523 ◽  
pp. 4135-4138 ◽  
Author(s):  
Yan Kang ◽  
Huan Jie Cai ◽  
Song Bai Song

A fuzzy matter-element evaluation modeling based on cooperative game weight (FME-CGW) is presented in this paper. Based on cooperative game theory, authors introduce a cooperative game weight which embodying an idea of competition and coordination among different weight methods. Based on the cooperative game weight, employing fuzzy matter-element theory and Hamming approach degree, the authors develop FME-CGW model. The derived model is applied to assess the groundwater resources carrying capacity in Guanzhong plain in Shaanxi province. The results are reasonable and satisfactory by comparing to other methods. The study of this practical example shows that the modeling presented in this paper is a new method with simple algorithm and strong practicability, which can be adopted to analysis various comprehensive evaluation issues.


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