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Gold Science and Technology ›› 2018, Vol. 26 ›› Issue (3): 372-378.doi: 10.11872/j.issn.1005-2518.2018.03.372

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Prediction Model of Mine Ecological Environment Based on PCA and GM（1，1）

ZHOU Zhiyong 1,2，XIAO Wei 1，CHEN Jianhong 1，LI Huan 1   

  1. 1.School of Resources and Safety Engineering，Central South University，Changsha 410083，Hunan，China;2.Postdoctoral Collaborative Research Center，Hunan Chenzhou Mining，Huaihua 419607，Hunan，China
  • Received:2017-04-06 Revised:2017-06-02 Online:2018-06-30 Published:2018-08-24

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Abstract: The problem of ecological environment pollution is becoming more and more serious,so it is very important to forecast and evaluate the ecological environment of mine.The prediction model of mine ecological environment was established by using principal component analysis,grey prediction model and elementary correlation function,it can provide guidance and reference for mining companies about environment protection and environmental protection investment in the future.Comprehensively consider the impact of environmental protection funds,mining and mineral processing on the environment and employees to construct the ecological environment evaluation index system.Analyzed the principal component with higher difference contribution rate after extraction of principal components,we can get the actual scores in 2016 are -4.1776,0.4093,-0.2553,and the forecast scores in 2016 are -4.2926,-0.2175,0.3312 respectively.The evaluation value of ecological environment in 2016 is -0.8861 and the forecast value is -0.9708.The predictive value of ecological environment in 2017 is -1.5493 and in 2018 is -2.0511.The results show that the predicted data are consistent with the actual data and the validity of the model is verified,the ecological environment of the mine is continuously improving.

Key words: mine, principal component analysis, gray prediction model, correlation function, ecological envi-ronment prediction, quantitative analysis, evaluation index system

CLC Number: 

  • X826 
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