危险废物无害化管理大数据分析应用研究初探

金晶; 孙绍锋; 郑洋; 何艺

doi:10.16803/j.cnki.issn.1004-6216.2016.06.023

环境保护科学

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金晶, 孙绍锋, 郑洋, 何艺. 危险废物无害化管理大数据分析应用研究初探[J]. 环境保护科学, 2016, (6): 120-123. doi: 10.16803/j.cnki.issn.1004-6216.2016.06.023

引用本文:

金晶, 孙绍锋, 郑洋, 何艺. 危险废物无害化管理大数据分析应用研究初探[J]. 环境保护科学, 2016, (6): 120-123. doi: 10.16803/j.cnki.issn.1004-6216.2016.06.023

Jin Jing, Sun Shaofeng, Zheng Yang, He Yi. Preliminary Study of the Application of Big Data Analysis for Hazardous Waste Harmless Management[J]. Environmental Protection Science, 2016, (6): 120-123. doi: 10.16803/j.cnki.issn.1004-6216.2016.06.023

Citation:

Jin Jing, Sun Shaofeng, Zheng Yang, He Yi. Preliminary Study of the Application of Big Data Analysis for Hazardous Waste Harmless Management[J]. Environmental Protection Science, 2016, (6): 120-123. doi: 10.16803/j.cnki.issn.1004-6216.2016.06.023

危险废物无害化管理大数据分析应用研究初探

环境保护部固体废物与化学品管理技术中心, 北京 100029

作者简介: 金晶(1984-),女,工程师。研究方向:危险废物环境管理政策研究。

基金项目:
环境保护部财政项目"固体废物污染防治政策研究"(20110304)
中图分类号: X32

Preliminary Study of the Application of Big Data Analysis for Hazardous Waste Harmless Management

Center for Solid Waste and Chemical Management, MEP, Beijing 100029, China
Fund Project:

摘要: 环境质量改善是我国"十三五"期间环保工作的核心,危险废物管理是影响环境质量的重要因素。近年来,我国危险废物污染防治工作在制度建设和能力建设等方面取得积极进展,但仍存在底数不清、减量不足、利用不畅等问题,频发的危险废物非法倾倒和掩埋已成为突发环境事件的重要诱因,严重威胁环境安全和人体健康。严峻的环境形势迫使我国改进传统的危险废物管理方式。文章从危险废物无害化管理现状分析入手,提出构建危险废物无害化管理大数据应用研究平台的建议,实现依靠数据管理、数据决策和预测性分析的构想。
- 危险废物 /
- 无害化管理 /
- 大数据 /
- 分析 /
- 初探
Abstract: Environment quality improvement is the core of environmental protection during the "13^th Five-Year" period, and hazardous waste management is one of the important factors influencing the environment quality. In the recent years, China has made positive progress in construction of hazardous waste administrative system and facilities. However, there are still many problems existing such as incomputable quantity, inadequate reduction and poor utilization. Environmental accidents of illegal dumping and burying of hazardous wastes have become serious threats to the environmental safety and human health, which compels to change the traditional management mode for adaption of the new severe situation. In this paper, the current status of harmless management of hazardous wastes is analyzed. Then, construction of an application and research platform of big data for the harmless management of hazardous wastes is proposed for realization of predictive analysis and decision-making based on data for hazardous waste management.
- Hazardous Waste /
- Harmless Management /
- Big Data /
- Analysis /
- Preliminary Study

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金晶, 孙绍锋, 郑洋, 何艺. 危险废物无害化管理大数据分析应用研究初探[J]. 环境保护科学, 2016, (6): 120-123. doi: 10.16803/j.cnki.issn.1004-6216.2016.06.023

引用本文:

金晶, 孙绍锋, 郑洋, 何艺. 危险废物无害化管理大数据分析应用研究初探[J]. 环境保护科学, 2016, (6): 120-123. doi: 10.16803/j.cnki.issn.1004-6216.2016.06.023

Citation:

危险废物无害化管理大数据分析应用研究初探

作者简介: 金晶(1984-),女,工程师。研究方向:危险废物环境管理政策研究。
环境保护部固体废物与化学品管理技术中心, 北京 100029

收稿日期: 2016-05-25

基金项目:

环境保护部财政项目"固体废物污染防治政策研究"(20110304)

关键词:

摘要: 环境质量改善是我国"十三五"期间环保工作的核心,危险废物管理是影响环境质量的重要因素。近年来,我国危险废物污染防治工作在制度建设和能力建设等方面取得积极进展,但仍存在底数不清、减量不足、利用不畅等问题,频发的危险废物非法倾倒和掩埋已成为突发环境事件的重要诱因,严重威胁环境安全和人体健康。严峻的环境形势迫使我国改进传统的危险废物管理方式。文章从危险废物无害化管理现状分析入手,提出构建危险废物无害化管理大数据应用研究平台的建议,实现依靠数据管理、数据决策和预测性分析的构想。

English Abstract

Preliminary Study of the Application of Big Data Analysis for Hazardous Waste Harmless Management

Center for Solid Waste and Chemical Management, MEP, Beijing 100029, China

Received Date: 2016-05-25

Fund Project:

Keywords:

Abstract: Environment quality improvement is the core of environmental protection during the "13^th Five-Year" period, and hazardous waste management is one of the important factors influencing the environment quality. In the recent years, China has made positive progress in construction of hazardous waste administrative system and facilities. However, there are still many problems existing such as incomputable quantity, inadequate reduction and poor utilization. Environmental accidents of illegal dumping and burying of hazardous wastes have become serious threats to the environmental safety and human health, which compels to change the traditional management mode for adaption of the new severe situation. In this paper, the current status of harmless management of hazardous wastes is analyzed. Then, construction of an application and research platform of big data for the harmless management of hazardous wastes is proposed for realization of predictive analysis and decision-making based on data for hazardous waste management.