引用本文:谢文理,张宇,施昕澜,蒋少杰,田颖,薛银刚.新时期生态环境监测数据产品内涵和发展建议[J].环境监控与预警,2018,10(6):19-23
XIE Wen li, ZHANG Yu, SHI Xin lan, JIANG Shao jie, TIAN Ying, XUE Yin gang.Study on Connotation and Development Trend of Eco-environmental Monitoring Data Products in New Stage[J].Environmental Monitoring and Forewarning,2018,10(6):19-23
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新时期生态环境监测数据产品内涵和发展建议
谢文理,张宇,施昕澜,蒋少杰,田颖,薛银刚1,2,3
1. 江苏省常州环境监测中心,江苏 常州 213000;2. 常州民生环境检测有限公司,江苏 常州 213000;3. 江苏省环境监测中心,江苏 南京 210036
摘要:
简述了新时期环境监测数据产品内涵,分析了当前数据产品在信息化程度、深度开发、数据质量和信息公开等方面存在的问题;提出,要不断提高数据产品的信息化水平,推进其深度开发,要立足于服务社会和管控需求,加强数据产品可追溯能力建设,针对现各部门存在的“数据孤岛”问题,增强各部门间监测数据的可比性,推进区域污染物排放、空气环境质量、水环境质量等信息公开,为政府决策提供准确的技术支持,为公众、企业提供优质服务。
关键词:  环境监测  数据产品  大数据  深度开发  数据质量  信息公开
DOI:
分类号:X830.3
文献标识码:B
基金项目:江苏省环境监测科研基金资助项目(1702);江苏省环境监测科研基金资助项目(1721)
Study on Connotation and Development Trend of Eco-environmental Monitoring Data Products in New Stage
XIE Wen li, ZHANG Yu, SHI Xin lan, JIANG Shao jie, TIAN Ying, XUE Yin gang1,2,3
1. Jiangsu Changzhou Environmental Monitoring Center, Changzhou, Jiangsu 213000, China;2. Changzhou Minsheng Environmental Detection Co. Ltd., Changzhou, Jiangsu 213000, China;3.Jiangsu Provincial Environmental Monitoring Center, Nanjing, Jiangsu 210036, China
Abstract:
The connotation of environmental monitoring data products in the new period is briefly described. The problems of current data products in terms of informationization level, in-depth development, data quality and information disclosure are analyzed. It is proposed that we should continuously improve the informationization level of data products and promote its in-depth development. It is necessary to strengthen the construction of traceability of data products based on the service society and control needs, and to enhance the comparability of monitoring data between various departments in light of the ‘data islands’existing in various departments.Finally, information such as regional pollutant emissions, air environmental quality, and water environmental quality should be further promoted.
Key words:  Environmental monitoring  Data products  Big data  Deep development  Data quality  Information disclosure