ID: 64
Presenting Author: Eunbi Lee
Status: pending
This study presents a framework evaluating water quality adaptation measures under climate change, combining quantitative analysis of NPS pollution control with qualitative assessments to support policy effectiveness evaluation.
As climate change increases nonpoint source pollution and deteriorates aquatic ecosystems, water quality risks are becoming more severe. These issues require the consideration of climate risks and adaptation throughout the Environmental Impact Assessment (EIA) cycle, particularly during the initial planning and post-monitoring stages. This study develops a methodology for evaluating water quality adaptation measures using three dimensions: relevance, feasibility, and effectiveness. NPS pollution control facilities were analyzed as a case study, examining relationships between implementation metrics (facility area) and water quality parameters (BOD, T-P) under changing climate conditions. Initial findings revealed the necessity for sophisticated modeling and data stratification to address pollutant transport complexity. Given data constraints, a qualitative component using literature reviews complemented the quantitative analysis, assessing adaptation measure contributions. This hybrid approach applies broadly where empirical evidence is scarce.
A researcher in environmental engineering at the Korea Environment Institute, focusing on climate change adaptation
Coauthor 1: Youngil Song
Coauthor 2: Jinhan Park
Coauthor 3: Changsub Shim
Coauthor 4: Ara Kim