Modeling and Prediction of Heavy Metal Pollution in Mining Areas Based on Grey Model GM (1,1)

被引：0

作者：

Xu, Shuitai ^{[1
,2
]}

Xiong, Lingyan ^{[2
]}

Rao, Yunzhang ^{[2
]}

Pan, Hanping ^{[2
]}

机构：

[1] Beijing Univ Sci & Technol, Sch Civil & Environm Engn, Beijing 100083, Peoples R China

[2] Jiangxi Univ Sci & Technol, Sch Econ & Management, Guangzhou 341000, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS | 2009年

基金：

中国国家自然科学基金;

关键词：

heavy metal pollution; GM (1,1); grey prediction;

D O I：

10.1109/ESIAT.2009.495

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Heavy metal pollution in mining areas possesses the character of grey system, so grey model GM (1, 1) can be used to predict heavy metal pollution. On the basis of heavy metal monitoring data in a certain sulfide mining area from 2006 to 2008, prediction models of copper (Cu), manganese (Mn) and lead (Pb) in mining areas have been built with grey model GM (1, 1) to predict heavy metal pollution contents in the mining area from 2009 to 2011, the accuracy of which meets the requirements after testing, and the projected results are credible. The prediction results show that in the next few years heavy metal Cu and Pb contents in the mining area will gradually increase, and Mn content decrease, but the mine is still in the state of pollution.

引用

页码：74 / +

页数：2

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