| 摘要: |
| 简述了地表水环境质量大数据分析的概念和意义，探讨了基于因素识别、数据选择、数据收集、数据整理、关联分析、模型验证和结果应用流程的地表水环境质量大数据分析技术路线，列举了4种典型的应用示例。提出，应建立数据共享机制，建立大数据分析工作程序，开发大数据分析应用软件，培养大数据分析技术人才。 |
| 关键词: 地表水 环境质量 大数据分析 技术路线 保障措施 |
| DOI： |
| 分类号:X820 |
| 文献标识码:B |
| 基金项目: |
|
| Discussion on Technological Approach of Big Data Analysis of Environmental Quality of Surface Water |
|
ZHANG Renquan
|
|
Suzhou Environmental Monitoring Center， Suzhou， Jiangsu 215004， China
|
| Abstract: |
| This work elaborates on the concept and importance of big data analysis of environmental quality of surface water， discusses its technological approach based on the procedure consisting of aspect identification， data selection， data collection， data arrangement， relation analysis， model verification and result application. In addition， this paper constructs four typical application examples. It is suggested to establish data sharing systems and big data analysis working procedures， to develop big data analysis application software and train professionals in big data analysis. |
| Key words: Surface water Environmental quality Big data analysis Technological approach Safeguard measures |
