Data Analysis and Decision-Making Optimization in the Environmental Impact Assessment Process
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.
environmental impact assessmentdata analysisdecision makingoptimization strategiessustainable development
NETL
NSTL
万方数据
