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• W4294233058 abstract "Recently, with the acceleration of urbanization and the increase of construction and demolition waste (C&DW) production, the research on C&DW management has been paid more attention. To optimize C&DW management, it is essential to accurately obtain information on the quantity, time, location and flow direction of waste generated. In this study, a prediction model of C&DW production was established based on the yield method per unit floor area. With the help of Google Earth software and corresponding database to collect and process data, the waste production of Shenzhen city from 2021 to 2030 is predicted by using GIS and grey prediction method, to complete the prediction of the temporal and spatial distribution of the waste production. Reasonable prediction results of C&DW can provide valuable reference information for waste resource utilization, to realize efficient and sustainable waste management." @default.
• W4294233058 created "2022-09-02" @default.
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• W4294233058 date "2022-01-01" @default.
• W4294233058 modified "2023-09-25" @default.
• W4294233058 title "Spatial and Temporal Characteristics and Prediction of C&DW in Shenzhen" @default.
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• W4294233058 doi "https://doi.org/10.1007/978-981-19-5256-2_23" @default.
• W4294233058 hasPublicationYear "2022" @default.
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