A multi-granularity spatio-temporal object model of site pollution environment

doi:10.13474/j.cnki.11-2246.2023.0072

Abstract

Abstract: At present, the research on polluted sites mainly focuses on the pollution situation and its development status. There is a lack of a relatively complete expression for the physical characteristics of polluted sites, and it is difficult to visualize the multi-dimensional information of polluted sites. Relying on the construction idea of multi-granularity spatio-temporal object model, this paper studies and constructs the spatio-temporal object model of multi-granularity site pollution environment, abstracts the pollution site information entity into a data model, and then describes and visualizes the relevant characteristics of its spatio-temporal entity to realize the pollution site. The integration and fusion of the full-spatial information big data based on the implementation of verification is carried out by taking a steel plant in Chongqing as an example. The experimental results show that the multi-granularity spatio-temporal object modeling of the site pollution environment can efficiently express the multi-dimensional characteristics of the polluted site, display the information of the polluted site more comprehensively, and provide technical support for the precise management and control of the polluted site, pollution assessment and restoration.

Key words: contaminated site information, multi-granularity spatio-temporal objects, full space information, site pollution environment, object model building

CLC Number:

P208

JIANG Huizhong, ZHANG Jianqin, JIA Hongxia, LI Xinzhi, LI Xingchen, YUAN Quan. A multi-granularity spatio-temporal object model of site pollution environment[J]. Bulletin of Surveying and Mapping, 2023, 0(3): 55-60.

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