摘要
环境影响评价流程是环境管理中的关键环节,其决策质量直接关系到项目对环境的长远影响。文章深入探讨了环境影响评价中数据分析的现状,归纳了在数据处理和决策制定环节中存在的不足,并分析了其对评价结果的影响。文章评估了现行数据分析方法的效能,指出了在提升数据质量、分析深度和决策透明度等方面存在的问题。针对这些问题,提出了一系列基于数据科学的优化策略,并构建了一个决策支持框架,旨在通过精确的数据处理和科学的决策方法,提高环境影响评价的质量和效率。
The environmental impact assessment process is a key link in environmental management,and the quality of its decision¬making is directly related to the long-term impact of the project on the environment.The article discussed in depth the current situation of data analysis in EIA,summarized the deficiencies in data processing and decision making,and analyzed their impact on the evaluation results.The article assessed the efficacy of the current data analysis methods,and point out the problems in improving data quality,depth of analysis and transparency of decision-making.In response to these problems,the article proposes a series of optimization strategies based on data science and constructs a decision support framework,aiming to improve the quality and efficiency of environmental impact assessment through accurate data processing and scientific decision-making methods.
作者
张浪
Zhang Lang(Huizhou Zhiyan Environmental Protection Technology Co.,Ltd.,Huizhou 516000,China)
出处
《皮革制作与环保科技》
2024年第4期146-148,共3页
Leather Manufacture and Environmental Technology
关键词
环境影响评价
数据分析
决策制定
优化策略
可持续发展
environmental impact assessment
data analysis
decision making
optimization strategies
sustainable development
