RESEARCH PROGRESS ON MONITORING AND SIMULATION OF SPATIAL DISTRIBUTION, VOLUME AND VARIATION OF CONSTRUCTION WASTE

ZHOU Lei; LI Yalan; ZHANG Chaoqun; SONG Wen; YANG Kun; DU Mingyi; CHEN Qiang; LIU Yang

doi:10.13205/j.hjgc.202403030

Volume 42 Issue 3

Mar. 2024

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2024 > 42(3): 243-253

ZHOU Lei, LI Yalan, ZHANG Chaoqun, SONG Wen, YANG Kun, DU Mingyi, CHEN Qiang, LIU Yang. RESEARCH PROGRESS ON MONITORING AND SIMULATION OF SPATIAL DISTRIBUTION, VOLUME AND VARIATION OF CONSTRUCTION WASTE[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(3): 243-253. doi: 10.13205/j.hjgc.202403030

Citation:

ZHOU Lei, LI Yalan, ZHANG Chaoqun, SONG Wen, YANG Kun, DU Mingyi, CHEN Qiang, LIU Yang. RESEARCH PROGRESS ON MONITORING AND SIMULATION OF SPATIAL DISTRIBUTION, VOLUME AND VARIATION OF CONSTRUCTION WASTE[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(3): 243-253. doi: 10.13205/j.hjgc.202403030

Citation:

ZHOU Lei, LI Yalan, ZHANG Chaoqun, SONG Wen, YANG Kun, DU Mingyi, CHEN Qiang, LIU Yang. RESEARCH PROGRESS ON MONITORING AND SIMULATION OF SPATIAL DISTRIBUTION, VOLUME AND VARIATION OF CONSTRUCTION WASTE[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(3): 243-253. doi: 10.13205/j.hjgc.202403030

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RESEARCH PROGRESS ON MONITORING AND SIMULATION OF SPATIAL DISTRIBUTION, VOLUME AND VARIATION OF CONSTRUCTION WASTE

doi: 10.13205/j.hjgc.202403030

School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China

Received Date: 2023-02-08
Available Online: 2024-05-31

Abstract

Abstract

The complex spatial and temporal characteristics of construction waste make it difficult to estimate and accurately monitor the amount of generation and change. Both the fields of mapping science and environmental science have conducted research to address these issues. The foundation and key to strengthening urban ecological protection and revealing the mechanism of urban building metabolism is the accurate recognition of multi-source remote sensing of construction waste, accurate monitoring, and simulation of the number of piles and changes. The development trend and representative research progress of spatial distribution, volume estimation, change monitoring, and simulation of construction waste at home and abroad are reviewed from the perspective of multidisciplinary intersection, to further support environmental protection and urban building metabolism in-depth study. Construction waste monitoring and its spatial distribution are divided into traditional methods and remote sensing recognition methods assisted by machine learning or deep learning. The volume estimation methods of construction waste include estimation methods based on statistical data and stereo models. Finally, the research status of dynamic monitoring and simulation of construction waste variation is summarized. Through systematic analysis and summary of the research results in this field, the existing problems and future development trends are proposed. It is of great value to improve the supervision level of solid waste, such as construction waste, protect the urban ecological environment, and promote the interdisciplinary research of urban construction metabolism.
- urban building metabolism,
- recognition,
- change detection,
- deep learning,
- material cycle

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References(72)

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