Decision support algorithm for efficient environmental impact assessments: Focusing on aquatic environment assessment in South Korea

This study aimed to design an algorithm that could support the decision-making of agencies and operators responsible for environmental impact assessment (EIA) of aquatic environments in South Korea. The study provided background information on the basics of assessment, including the review standards of review agencies and review opinions for major project requiring improvements. Thus, the algorithm was designed according to the aquatic environment status survey, impact prediction and reduction measures during construction and operation, and post-environmental impact survey plan. Among the issues continuously raised in the review opinions, this study presented specific algorithms focused on soil runoff reduction plans during construction and wastewater treatment plans during operation. The algorithm was designed in a program called Workflow, with the entire procedure serving as the main algorithm and each implemented algorithm consisting of subroutines. Research on algorithms for EIA can support assessment decision-making and serve as a basis for future digital EIAs, as well as help secure the objectivity of EIAs and build trust with stakeholders.

Automated summary

The study aimed to design an algorithm to support decision-making in environmental impact assessment (EIA) of aquatic environments in South Korea. The algorithm was designed based on surveys, impact prediction, reduction measures, and post-environmental impact plans. Specific algorithms were developed for soil runoff reduction and wastewater treatment plans. The use of algorithms for EIA can improve assessment decision-making and build trust with stakeholders.