基于WebGIS和微服务技术的污染场地信息可视化系统设计与实现

Design and implementation of contaminated site information visualization system based on WebGIS and microservices technology

关键词:  污染场地  WebGIS  微服务  系统开发

Key words:  contaminated site  WebGIS  microservice  system development

摘要:

【目的】随着我国城市化与工业化的快速发展，污染场地数量显著增加，严重影响农业土壤和人体健康。污染场地信息系统能够实现实时监测、风险评估与治理方案推荐等功能，对于污染场地管控治理与生态环境可持续发展具有重要意义。然而，传统系统在多源异构数据整合、可视化效果及大数据管理方面存在诸多限制，且地理空间分析功能较薄弱。【方法】本研究采用WebGIS技术，以实现地理空间数据可视化并提高系统灵活性；利用微服务技术构建可扩展的系统架构，以适应多源异构的污染场地数据管理需求；引入核密度分析法和空间插值分析法，全面提升污染场地数据分析功能。【结果】本研究基于微服务技术，构建了多源异构污染场地数据采集、清洗与入库框架，利用PostgreSQL与MongoDB搭建了混合型污染场地信息数据库，整合Vue、Mapbox GL JS、Spring Cloud等技术，构建了污染场地信息可视化系统，并开发了用户管理、数据空间展示、场地信息查询、热区探测分析与污染风险评估等功能模块。【结论】实际应用与验证结果表明，所开发的污染场地信息可视化系统有效实现了业务功能，不仅为污染场地的治理与修复决策提供全面、直观的基础数据，也为农业环保部门进行污染场地风险评估与农业资源信息化管理提供参考。

Abstract:

[Purpose] The rapid urbanization and industrialization in our country have led to a significant increase in the number of contaminated sites, adversely affecting agricultural soil and posing threats to human health. In this context, a contaminated site information visualization system is essential for real-time monitoring, risk assessment, and remediation recommendations. This system plays a crucial role in managing and controlling contaminated sites while promoting sustainable ecological development. However, conventional contaminated site information systems encounter several challenges, including the integration of multi-source heterogeneous data, effective result visualization, and support for environmental big data management, alongside limited geographic spatial analysis capabilities. [Methods] This study leveraged WebGIS technology to enhance the visualization of geographic spatial data and improve system flexibility. A scalable architecture based on microservices was developed to accommodate the diverse management needs associated with multi-source heterogeneous contaminated site data. Additionally, various geographic analysis methodologies were integrated to enable comprehensive analysis of contaminated site data. [Results] Utilizing microservice technology, we established a robust framework for the collection, cleaning, and storage of multi-source heterogeneous contaminated site data. A hybrid contaminated site information database was constructed using PostgreSQL and MongoDB. The contaminated site information visualization system was created by integrating technologies such as Vue, Mapbox GL JS, and Spring Cloud, featuring functional modules for user management, data space visualization, site information queries, hot spot detection analysis, and contamination risk assessment. [Conclusion] The practical application and validation results demonstrate that the developed contaminated site information visualization system effectively meets its intended functionality. It provides comprehensive and intuitive foundational data to support decision-making processes related to the remediation and restoration of contaminated sites. Furthermore, it serves as a valuable resource for agricultural environmental protection agencies in conducting risk assessments and managing agricultural resource information pertinent to contaminated sites.