[논문]환경영향평가 협의 내용 분석을 통한 데이터 수요 도출방안 - 수환경 분야를 중심으로 -

황진후; 김윤지; 전성우; 최유영; 성현찬

doi:10.14249/eia.2023.32.1.29

환경영향평가 협의 내용 분석을 통한 데이터 수요 도출방안 - 수환경 분야를 중심으로 -
Derivation of Data Demand through Analysis of Agreed Terms and Conditions on Environmental Impact Assessment - Focusing on the Water Environment - 원문보기

환경영향평가 = Journal of environmental impact assessment, v.32 no.1, 2023년, pp.29 - 40

황진후 (고려대학교) , 김윤지 (고려대학교) , 전성우 (고려대학교) , 최유영 (한국환경연구원) , 성현찬 (고려대학교)

초록
AI-Helper

환경영향평가에 대한 문제점으로 인한 개선 필요성이 제기되고, 데이터 기반의 환경영향평가의 중요성이 증가하고 있다. 본 연구에서는 환경영향평가의 수환경 분야(수질, 수리·수문, 해양환경)의 협의 내용 분석을 통해 데이터 수요를 도출하였다. 수환경 분야의 환경영향평가 협의 내용 총 400건(4,180문장)을 평가항목(수질, 수리수문, 해양환경) 및 환경영향평가 단계(현황조사 추가, 영향예측 및 평가, 저감대책 수립, 사후환경영향조사)별로 분류 후 유형화하였고, 해당하는 협의 내용 유형 별 데이터 수요를 연계하였다. 협의 내용 유형화 결과 수질 분야 18개, 수리·수문 분야 14개, 해양환경 분야 17개의 유형으로 분류되었으며, 데이터 수요 연계 결과 수질 분야 254개, 수리·수문 분야 102개, 해양환경 분야 74개의 데이터 수요가 도출되었다. 평가항목으로는 수질 분야, 환경영향평가 단계 상으로는 저감대책 수립 분야에서의 협의 내용 유형 및 데이터 수요가 가장 높은 빈도로 나타났으며, 세부 협의 내용 유형으로는 비점오염 저감 대책이 가장 많은 빈도로 나타났다. 이는 항목의 상대적 중요도와, 환경영향평가의 주요 목적과 연계된 것으로 판단되었다. 환경영향평가 협의 내용 분석을 통한 데이터 수요의 도출은 환경영향평가서 작성의 고도화에 기여할 수 있으며, 환경영향평가 데이터 체계화를 통해 다양한 의사결정자의 데이터 활용도를 높일 것으로 기대된다.

Abstract ▼ AI-Helper

The need for improvement is raised due to limitations with environmental impact assessment, and the importance for data-based environmental impact assessment is increasing. In this study, data demand was derived by analyzing Agreed Terms and Conditions in the Water Environment field (Water Quality, Hydraulic & Hydrologic Conditions, and Marine Environment) of environmental impact assessment. Agreed Terms and Conditions on environmental impact assessment in the water environment field were classified and categorized by environmental impact assessment stage (addition to status survey, impact prediction and evaluation, establishment of reduction measures, post-environmental impact survey), and data demand for each type of consultation opinion was linked. As a result of the categorization of Agreed Terms and Conditions, it was classified into 18 types in the water quality, 15 types in the hydraulic & hydrologic conditions, and 17 types in the marine environment. As a result of linking data demand, the total number of data demand was 236 in the water quality, 98 in the hydraulic & hydrologic conditions, and 73 in the marine environment. The highest number of Agreed Terms and Conditions and data demands were found in the water quality for the evaluation item and establishment of reduction measures, specifically establishment of non-point source pollution reduction measures, for the stage. The numbers were judged to be linked to the relative importance of the items and the primary purpose of environmental impact assessment. The derivation of data demand through the analysis of Agreed Terms and Conditions in the environmental impact assessment can contribute to the advancement of the preparation of environmental impact assessment reports and is expected to increase data utilization by various decision-makers by establishing a systematic database.

주제어

표/그림 (9)

그림 Figure 1. Stage of Environmental Impact Assessment and Agreed Terms and Conditions (The stage related to the Agreed Terms and Conditions was emphasized in black)
그림 Figure 2. Flow Chart
그림 Figure 3. Number of sentences for Agreed Terms and Conditions (water environment)
표 Table 1. Classification of Agreed Terms and Conditions - Water Quality
표 Table 2. Classification of Agreed Terms and Conditions - Hydraulics & Hydrology
표 Table 3. Classification of Agreed Terms and Conditions - Marine Environment
표 Table 4. Example of deriving data demand in response to Agreed Terms and Conditions - Measures to reduce non-point contamination (Water Quality, 3-4)
표 Table 4. Continued
표 Table 5. Results of the demand for data in response to Agreed Terms and Conditions (S: Structured Data, U: Unstructured Data, T: Total)

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