∣차 례∣
제1장 서 론 ···························································································································1
제1절 연구의 배경 및 목적 ···························································································1
1. 연구의 배경 및 목적 ······························································································1
제2절 연구의 범위 및 방법 ·························································································3
1. 연구범위 ···················································································································3
2. 연구방법 ···················································································································3
제2장 ANN 모델 선행연구 고찰 ·························································································5
제1절 ANN 모델 개념 고찰 ···························································································5
1. 대기오염도에 영향을 주는 인자 ···········································································5
2. 대기오염모델링을 통한 대기질 예측 ····································································6
3. 인공신경망(Artificial Neural Network, 이하 ANN) 개념 ·································11
제2절 ANN을 이용한 대기질 예측 선행연구 ·····························································15
1. 대기과학에서의 인공신경망(ANN) 적용 ·····························································15
2. 공기이동궤적을 이용한 PM2.5의 ANN예측 ························································16
3. 미세먼지 예측을 위한 통계적 방법의 개발 사례 ·············································18
4. 인공지능 기반 수도권 지하역사 실내공기질 예측 사례 고찰 ·························19
5. 인공신경망 기법을 이용한 태풍 강도 및 진로 예측 ········································25
제3절 시사점 ··················································································································29
제3장 수원시 대기질 현황 ·································································································31
제1절 수원시 대기오염농도 ·························································································31
1. 수원시 주변지역과의 비교 ···················································································31
2. 수원시 국가대기오염측정소 현황 ·······································································33
3. 수원시 대기오염농도 ····························································································34
4. 수원시 대기오염물질 상관성 분석 ······································································41
5. 수원시 미세먼지 배출량 ·······················································································44
제2절 시사점 ··················································································································46

제4장 ANN을 활용한 수원시 대기질 분석······································································47

제1절 ANN을 활용한 수원시 미세먼지 농도 예측····················································47

1. ANN 기법···············································································································47

2. 분석을 위한 자료구축 및 유사 활용 사례························································47

제2절 대기질 영향요인과 대기오염물질에 따른 미세먼지 농도 예측····················55

1. 분석 자료 및 방법································································································55

2. 분석결과·················································································································57

제3절 결과 고찰 ··········································································································70

제5장 결론···························································································································71

제1절 연구의 의의········································································································71

제2절 정책제언··············································································································73

참고문헌·······························································································································75

Abstract································································································································77