Spatial estimation and recycling method optimization of municipal household wastes by integrating multiple geographical big data and social survey

Authors: Xiaoqian Liu*, Institute of Geographical Sciences and Natural Resources Research, Tao PEI, Institute of Geographical sciences and resources
Topics: Sustainability Science, China, Spatial Analysis & Modeling
Keywords: municipal household waste, geographical big data,city management,accurate estimation,kitchen garbage
Session Type: Poster
Day: 4/12/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded

China had set up a number of garbage classification pilot cities Since 2000, combining with mutiple environmental regulaitons, however the overall effect is less effecient, resulting in great waste of resources, causeiing a set of urban environmental problems. The bottleneck is that, on the one hand, lacking of precise estimation of the amount of recyclable household waster caused the mismatch of classification facilities and the classification method are not feasible; on the other hand, lacking of spatial location information of waste, thus hardly make targeted urban management measures. In this study, we propose a precise spatial estimation method for different typical municipal solid wastesby integrating geographical big data and local survey method . The study take one of the typical community in Beijing city as an example, to testify and apply the method to achieve an accurate assessment of the amount and spacical locations of municiple waste, giving scientific supports for further optimization of waste recycling and municiple managments.

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