Grey Correlation Coefficient Analysis and Estimation of Urban Living Garbage in Harbin

DOI

10.2991/icaemt-15.2015.26How to use a DOI?

Keywords

municipal solid waste, collected amount, correlation analysis, Grey Model.

Abstract

The amount of garbage conforms to the gray data characteristics because of the uncertainty and dispersion of urban living garbage produced, the corresponding dynamic prediction model based on Grey model can be established due to the uncertainty and dispersion of the collected amount in line with Grey feature. First the method of Grey correlation coefficient analysis was used to quantitatively analyze the impacts of waste generation factors, the result shows that the first order of the precision is per capita consumption expenditure; Second the gray GM(1.1) prediction model was established to predict the amount of garbage produced in Harbin for the next few years. The result is helpful for the management and the planning of Harbin.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lihong Sun
AU  - Yu Zhang
PY  - 2015/08
DA  - 2015/08
TI  - Grey Correlation Coefficient Analysis and Estimation of Urban Living Garbage in Harbin
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 129
EP  - 132
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.26
DO  - 10.2991/icaemt-15.2015.26
ID  - Sun2015/08
ER  -