[1]XUE Jian-chun.Analysis of Ecological Footprint Change and Dynamic Prediction in Pingshuo Mining Based on Empirical Mode Decomposition[J].Research of Soil and Water Conservation,2013,20(06):267-270.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
20
Number of periods:
2013 06
Page number:
267-270
Column:
Public date:
2013-12-28
- Title:
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Analysis of Ecological Footprint Change and Dynamic Prediction in Pingshuo Mining Based on Empirical Mode Decomposition
- Author(s):
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XUE Jian-chun
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School of Economics and Management, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
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- Keywords:
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ecological footprint; empirical mode decomposition; Pingshuo mining
- CLC:
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F062.2
- DOI:
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- Abstract:
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Ecological footprint is an integrated index of measuring the impact of human’s consumption on ecosystem. It is influenced by population, land technology consumer and many other social, economic and natural factors with multi-scale characteristics in time and space. The EF per capita from 1989 to 2010 was calculated used EMD and dynamic prediction to study the long time series evolution of EF per capita in mining area. The results showed that the EF per capita in mining area had the 4.68 years period. With respect to the trend quantity of fluctuate of EF per capita, the EF per capita continuous grew in Pingshuo mine since 1989. And the average annual growth rate was 1.787 5%. However, the average annual growth rate of EF per capita fell to 0.046 7% in the decade after 2001 because the land reclamation and ecological reconstruction were strengthened in mining area. The predicted results showed that the average annual growth rate slowed down although the EF per capita still rose. The model predicted that the EF per capita of Pingshuo mine will be 2.566 hm2/cap in 2020. The research results can contribute to understand the utilization of mine resources and the problem of regional ecological pressure and provide theoretical reference for building the sustainable development measures for relevant departments.