ESTIMATION OF CONSTRUCTION AND DEMOLITION WASTE GENERATION AND SITE OPTIMIZATION OF RECYCLING PLANTS:A CASE STUDY OF CHONGQING METROPOLIS, CHINA

HU Ming-ming; PENG Feng; XIANG Peng-cheng

doi:10.13205/j.hjgc.202001019

Volume 38 Issue 1

Mar. 2020

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2020 > 38(1): 122-127

HU Ming-ming, PENG Feng, XIANG Peng-cheng. ESTIMATION OF CONSTRUCTION AND DEMOLITION WASTE GENERATION AND SITE OPTIMIZATION OF RECYCLING PLANTS:A CASE STUDY OF CHONGQING METROPOLIS, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(1): 122-127. doi: 10.13205/j.hjgc.202001019

Citation:

HU Ming-ming, PENG Feng, XIANG Peng-cheng. ESTIMATION OF CONSTRUCTION AND DEMOLITION WASTE GENERATION AND SITE OPTIMIZATION OF RECYCLING PLANTS:A CASE STUDY OF CHONGQING METROPOLIS, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(1): 122-127. doi: 10.13205/j.hjgc.202001019

Citation:

HU Ming-ming, PENG Feng, XIANG Peng-cheng. ESTIMATION OF CONSTRUCTION AND DEMOLITION WASTE GENERATION AND SITE OPTIMIZATION OF RECYCLING PLANTS:A CASE STUDY OF CHONGQING METROPOLIS, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(1): 122-127. doi: 10.13205/j.hjgc.202001019

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ESTIMATION OF CONSTRUCTION AND DEMOLITION WASTE GENERATION AND SITE OPTIMIZATION OF RECYCLING PLANTS:A CASE STUDY OF CHONGQING METROPOLIS, CHINA

doi: 10.13205/j.hjgc.202001019

HU Ming-ming^{1,2,3,4
,
,},
PENG Feng¹,
XIANG Peng-cheng^1,2,3

1. School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China;
2. International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China;
3. Research Center of Construction Economics and Management, Chongqing University, Chongqing 400045, China;
4. Institute of Environmental Sciences, Leiden University, Leiden 2300 RA, The Netherlands

Received Date: 2019-05-30

Abstract

Abstract

Construction and Demolition Waste (C&DW) recycling has not yet been a common practice in China. One of the key obstacles was the improper location of the recycling plants, which led to high cost of C&DW recycling. Therefore, it was of great significance to reduce the collection and transportation cost of bulk C&DW through information integration and accurate matching of supply and demand information. A multi criterial location optimization scheme was put forward, with transportation cost as the main objective. Taking Chongqing metropolis as a case study, the study was conducted on the basis of reasonable prediction, combining grey model with exponential smoothing method to estimate the annual output of C&DW. The optimization model of site selection of C&DW recycling plant based on GIS was proposed, and the optimization scheme of site selection C&DW recycling plant was formed.
- C&DW management,
- recycling plant,
- GIS,
- grey model,
- exponential smoothing method,
- locating optimizing

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References(12)

References

国家发展改革委. 中国资源综合利用年度报告[J]. 中国经贸导刊, 2014, 7(30):49-56.

崔丽, 龚志起, 陈柏昆. 西宁市惰性建筑垃圾管理系统的环境评价[J]. 青海大学学报, 2018, 36(2):76-82.

何琼, 谢秋, 胡鸣明. 面向系统服务可靠度的建筑垃圾资源化企业优化选址研究[J]. 环境工程, 2014,32(4):99-104.

FEO G D, GISI S D. Using MCDA and GIS for hazardous waste landfill siting considering land scarcity for waste disposal [J]. Waste Management, 2014, 34(11): 2225-2238.

LYNDON N A S. Using geographic information system (GIS) to determine waste transfer stations in relation to location of landfill sites in Accra Metropolis [J]. African Journal of Environmental Science and Technology, 2015, 10(3):96-103.

肖艳兵, 芮小平. 约束条件遗传算法的餐厨废弃物收运路线研究[J]. 地理空间信息, 2017, 15(6):64-66

,69.

张红玉, 杨飞华, 李国学,等. 基于ARIMA模型的北京市朝阳区建筑垃圾产量分析与预测[J]. 环境工程, 2014,32(增刊1):696-699.

陆宁, 陆路, 李萍,等. 中国城市建筑垃圾产量计算及预测方法[J]. 长安大学学报, 2008, 10(3): 79-82.

陈翠良, 杨建新, 吕彬,等. 城市建筑废物产量估算与预测方法:以海南省为例[J]. 环境科学与技术, 2012, 1(11):173-179.

王桂琴, 张红玉, 李国学, 等. 灰色模型在北京市建筑垃圾产生量预测中的应用[J]. 环境工程, 2009, 27(增刊1):508-511.

张峰, 乔梁, 樊瑞雪. 建筑废弃物产生量预测与资源化利用研究:以山东省为例[J]. 建筑经济, 2017, 38(8):79-84.

北京市住房和城乡建设委员会. 固定式建筑垃圾资源化处置设施建设导则[Z].2015-12-21.

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