국내 지하수 미네랄 성분분석 및 크리깅 기법을 이용한 공간분포 추정 :Analysis of Mineral Contents of Groundwater in Korea and Spatial Interpolation Using Kriging Methods

김정희

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자료유형: 학위논문

저자정보: 김정희 (충북대학교, 충북대학교 대학원)

지도교수: 전항배

발행연도: 2020

저작권: 충북대학교 논문은 저작권에 의해 보호받습니다.

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이 논문의 연구 히스토리 (2)

2020

국내 지하수 미네랄 성분분석 및 크리깅 기법을 이용한 공간분포 추정

김정희 환경공학과 2020.01 학위논문

2016

국내 지하수의 주요 미네랄 분포 특성에 관한 연구

김정희 , 류리나 , 이종수 외 3명 대한환경공학회지 2016.10 학술저널

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This study proposes an optimal prediction model for the distribution of groundwater minerals by identifying the key mineral distribution characteristics throughout Korea and applying kriging, a spatial analysis method used frequently in fields related to the environment, transportation, and health. To determine Korea''s main groundwater quality, we investigate five types of minerals (calcium, magnesium, potassium, sodium, silicon) at 350 stations in the national groundwater monitoring network for the period 2014 to 2016. Then, we conduct a descriptive statistical analysis, analysis of variance (by bedrock and by region), and correlation analysis to determine the statistical distribution characteristics and create a GIS-based mineral distribution map. Our analysis of the mineral distribution characteristics by type of bedrock shows significant differences between the means of four minerals (excluding potassium). Thus, bedrock has a significant impact on groundwater mineral content. The distribution characteristics by region show significant differences for silicon in Gangwon compared with those of other regions. However, the variation in the distribution characteristics by region is not as great as that by bedrock. Therefore, our regional classification is not significant in terms of groundwater mineral content. We apply various kriging models, such as univariate kriging (ordinary kriging, universal kriging) and co-kriging, to the normalized square roots of the mineral examination results to develop spatial predictive models. Then, we derive experimental and theoretical variograms, perform cross-validation to calculate the predicted values and uncertainties of unobserved points, and compare the predictive capabilities of the various models to select the best kriging model for each mineral. The results show that co-kriging exhibits a lower error rate than that of the univariate kriging method, thereby increasing the reliability of the predicted value. Lastly, we create distribution maps and scatter diagrams for the predicted results based on the final kriging selections and uncertainty tests. In this study, we determine the distribution of minerals in groundwater, the importance of which is growing as a future resource, and develop a reliable spatial predictive model. Our results can help guide future development and use of groundwater. In addition, the proposed prediction model can be extended and applied to manage the quality of groundwater, including that containing radioactive substances.

Ⅰ. 서 론 ························································································································1
Ⅱ. 문헌연구 ···················································································································3
1. 국내 지하수 이용 및 수질현황 ···········································································3
2. 지하수중 미네랄 생성특성 ···················································································6
3. 국내 지질 현황·······································································································8
4. 지질에 따른 지하수 중 미네랄 분포현황 ·······················································10
5. 국내외 먹는물 중 미네랄 분포현황 ·································································11
6. 미네랄이 건강에 미치는 영향 ···········································································12
7. 크리깅(Kriging) ····································································································13
(1) 베리오그램(variogram) ···················································································16
(2) 크리깅(kriging) ·································································································19
(3) 교차검증(Cross Validation) ···········································································23
Ⅲ. 연구방법 ·················································································································25
1. 조사대상 및 조사기간·························································································25
2. 시료 채수 및 분석 ·······························································································26
(1) 시료채수 및 전처리 ·························································································26
(2) 기기분석 조건 ···································································································26
(3) 정도보증/정도관리(QA/QC) ···········································································27
3. 통계분석 방법 및 예측모형 구축을 위한 자료처리·····································29
(1) 통계분석 ·············································································································29
(2) 예측모형 구축을 위한 대상지점 선정 및 자료처리·································31
4. 미네랄 분포도 ·······································································································33
Ⅳ. 연구결과 및 고찰 ·································································································35
1. 지하수중 미네랄 분포 특성 조사 결과···························································35
(1) 전국 지하수 미네랄 분포현황 ·······································································35
(2) 기반암(지질)별 미네랄 분포특성 ··································································40
(3) 지역별 미네랄 분포특성 ·················································································47
(4) 미네랄 항목간 상관성 분석···········································································51
(5) 지하수 중 미네랄 분포 정규성 검증 ···························································53
2. 지하수중 미네랄 분포도 작성 결과 ·································································54
3. 지하수중 미네랄 분포 예측모형 구축 ···························································58
(1) 칼슘(Ca) ·············································································································59
(2) 마그네슘(Mg) ····································································································83
(3) 규소(Si) ··············································································································93
4. 종합고찰 ·············································································································103
Ⅴ. 결 론 ·················································································································106
참 고 문 헌 ········································································································108

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