摘要
当前中国水土环境面临着极大的挑战,涉及从污染状况调查到污染风险评估、风险管控和治理修复的多个层面.随着大数据相关技术和人工智能理论的不断完善,研究者们越来越关注如何充分利用多源数据和大数据分析技术,推动水土污染综合防控研究取得更为显著的进展.文章系统梳理并归纳了水土污染研究的4个关键环节:多源数据的获取、多源数据的管理与分析技术、水土环境污染的风险评估以及风险的区域分级与管控措施.同时,文章还综合分析了水土污染风险评估和管控的研究现状.在分析各环节的研究现状和未来发展趋势的基础上,文章剖析了水土污染综合防控研究所面临的巨大挑战,并基于这些挑战,提出了未来水土污染分析评价与风险管控研究的重要方向与关注点.
Abstract
Currently,China's soil and water environment is facing great challenges,involving multiple levels from the inves-tigation of pollution status to pollution risk assessment,risk control and treatment and remediation.With the continuous im-provement of big data related technology and artificial intelligence theory,researchers are more and more concerned about how to make full use of multi-source data and big data analysis technology,to promote the comprehensive prevention and con-trol of soil and water pollution research to achieve more significant progress.This article systematically combs and summaris-es four key links in the research of soil and water pollution,the acquisition of multi-source data,the management and analysis technology of multi-source data,the risk assessment of soil and water environmental pollution,as well as the regional grading of the risk and control measures,meanwhile the article also comprehensively analyses the research status of soil and water pollution risk assessment and control.On the basis of analysing the research status and future development trend of each link,the article analyzes the great challenges faced by the research on comprehensive prevention and control of soil and water pollu-tion,and based on these challenges,puts forward the important directions and concerns of the future research on analysis and evaluation of soil and water pollution,as well as risk management and control.
基金项目
国家重点研发计划项目(2020YFC1807100)
国家重点研发计划项目(2020YFC1807102)
维普
万方数据