Earticle

초록

영어

With the increase of construction investment and urbanization, building waste output in our country is huge. This paper first constructs a set based on the construction area and per unit area of garbage generated quantity of urban building waste estimation method, then using grey system theory prediction and analysis of the next four years of building waste output. By the introduction of metabolic thought, the grey metabolic GM (1,1) forecast model was constructed, overcoming the shortages of conventional GM (1, 1) model. Prediction results show that the model is higher than the conventional GM (1,1) model prediction accuracy, which is suitable for the prediction of the short term of building waste in our country and for the treatment and reuse of building waste to provide certain reference.

목차

Abstract
 1. Introduction
 2. Grey Prediction Theory and Model Building
  2.1 Traditional GM (1, 1) Model
  2.2 The Principle of Grey Metabolism GM (1, 1) Model Prediction
  2.3 Model Accuracy Test
 3. Prediction of Building Waste Production
  3.1 Estimation of Building Waste Production
  3.2 Prediction of Building Waste Production
 4. Conclusions
 References

키워드

저자

• Yabo He [ School of Civil Engineering, Wuhan University, Wuhan, China ]
• Wang Hongtao [ School of Civil Engineering, Wuhan University, Wuhan, China ]
• Yang Lin [ School of Civil Engineering, Wuhan University, Wuhan, China ]
• Qin Wei4 [ School of Civil Engineering, Wuhan University, Wuhan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605