测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 55-60.doi: 10.13474/j.cnki.11-2246.2023.0072

• 学术研究 • 上一篇    下一篇

一种场地污染环境的多粒度时空对象模型

姜会忠1,2, 张健钦1,2, 贾红霞3, 李心治1,2, 李星辰1,2, 袁泉4   

  1. 1. 北京建筑大学测绘与城市空间信息学院, 北京 102616;
    2. 自然资源部城市空间信息重点实验室, 北京 102616;
    3. 生态环境部信息中心, 北京 100029;
    4. 深圳市赛盈地脉技术有限公司, 广东 深圳 518000
  • 收稿日期:2022-05-19 发布日期:2023-04-04
  • 通讯作者: 张健钦。E-mail:zhangjianqin@bucea.edu.cn
  • 作者简介:姜会忠(1996-),男,硕士生,主要研究方向为地理信息可视化。E-mail:1315882510@qq.com
  • 基金资助:
    国家重点研发计划(2019YFC1804903);北京市自然科学基金(8202013);国家自然科学基金(41771413)

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

JIANG Huizhong1,2, ZHANG Jianqin1,2, JIA Hongxia3, LI Xinzhi1,2, LI Xingchen1,2, YUAN Quan4   

  1. 1. School of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China;
    2. Key Laboratory of Urban Spatial Information, Nature Resources Ministry, Beijing 102616, China;
    3. Information Center of Ministry of Ecology and Environment, Beijing 100029, China;
    4. Shenzhen Saiying Dimai Technology Co., Ltd., Shenzhen 518000, China
  • Received:2022-05-19 Published:2023-04-04

摘要: 目前针对污染场地的研究主要围绕污染态势及其发展状况,对于污染场地的实体特征缺乏较完整的表达,难以可视化展示污染场地多维度的信息。本文基于多粒度时空对象模型的构建思路,研究构建多粒度场地污染环境时空对象模型,将污染场地信息实体抽象成数据模型,进而对其时空实体的相关特征进行描述及可视化表达,实现污染场地的全空间信息大数据的集成与融合,并以重庆市某钢铁厂为例进行试验验证。试验结果表明,场地污染环境多粒度时空对象建模,可以高效表达污染场地多维度的特征,更全面地可视化展示污染场地信息,为污染场地的精准管控、污染评估和治理修复提供技术支撑。

关键词: 污染场地信息, 多粒度时空对象, 全空间信息, 场地污染环境, 对象模型构建

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

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