Exploration of Construction Waste Treatment and Management Practice in the Zero Waste Cities of China
Take Shenzhen City as an Example
Authors
Cong Peng1, Zhengquan Liu1, *
1Department of Civil Engineering, Guangxi Vocational College of Water Resource and Electric Power, Nanning, 530000, China
*Corresponding author.
Email: liuzhengquan9027@hotmail.com
Corresponding Author
Zhengquan Liu
Available Online 26 July 2023.
- DOI
- 10.2991/978-94-6463-200-2_31How to use a DOI?
- Keywords
- Zero waste city; Construction waste; Waste management of low-carbon city
- Abstract
Zero waste cities will become the model of sustainable cities in China in the future. In order to build a smart and low-carbon city and promote the construction of a zero waste city, Shenzhen city of China has adopted the platform of intelligent construction waste management system to collect and monitor construction waste, which is based on the NB-IoT waste monitoring system, remote Sensing Technology, GIS technology, CEMS and built environmental assessment system are used to assess and early-warning the construction waste stock, and effectively improve the level of construction waste management in cities.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Cong Peng AU - Zhengquan Liu PY - 2023 DA - 2023/07/26 TI - Exploration of Construction Waste Treatment and Management Practice in the Zero Waste Cities of China BT - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) PB - Atlantis Press SP - 288 EP - 295 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-200-2_31 DO - 10.2991/978-94-6463-200-2_31 ID - Peng2023 ER -