본문 바로가기 주메뉴 바로가기
22대 대한민국 국회 국회정보길라잡이 국회의원검색
회원가입 로그인
HOME

정보검색

소장정보 검색

국회도서관 홈으로 정보검색 소장정보 검색

결과 내 검색

동의어 포함

고급검색

인명/단체명

저자정보 상세정보
인명/단체명을 입력하세요.

키워드

  • 대표어

  • 외국어

-

목차보기

표제지

목차

제1부 국가지하수관측망 지하수의 수위변동 특성 12

1. 개요 13

1.1. 지하수 현황 13

1.2. 지하수 관측망 개요 18

1.3. 국가지하수관측망 현황 20

1.4. 관측자료 활용 연구분야 24

2. 지하수위 장기 관측자료의 분석 25

2.1. 배경 및 목적 25

2.2. 수위 관측자료의 기본 통계분석 29

2.3. 수위변동 유형분류 44

2.4. 경향성 분석 52

2.5. 백분위수 분석 67

2.6. 지하수위 변동량 69

2.7. 정밀조사 대상지점 선정기준 80

3. 결론 및 토의 83

제2부 국가지하수관측망 지하수의 수리지구화학 특성 85

1. 개요 86

1.1. 배경 및 목적 86

1.2. 시료 채취 및 분석 88

2. 지하수 수질자료의 분석 91

2.1. 수리지구화학적 분석 91

2.2. 다변량 통계분석(Multivariate statistics) 98

2.3. 자기조직화 지도(SOM ; Self-organizing Map) 109

2.4. 질산염 이온을 통한 오염 취약성 평가 124

3. 결론 및 토의 130

부록 133

참고문헌 172

Abstract 181

List of Tables

Table 1-1. Annual water use in Korea 13

Table 1-2. Groundwater withdrawals in Korea by water-use category 14

Table 1-3. Groundwater withdrawals of OECD 15

Table 1-4. Intensity of use of fresh water resources 15

Table 1-5. Groundwater monitoring networks in Korea 19

Table 1-6. National Groundwater Monitoring Network in Korea 20

Table 1-7. Number of National Groundwater Monitoring well carried out detail research for preventing groundwater hazard 27

Table 1-8. National groundwater monitoring well used in this study 28

Table 1-9. Basic statistics of groundwater level(Hangang basin) 31

Table 1-10. Basic statistics of groundwater level(Nakdonggang basin) 33

Table 1-11. Basic statistics of groundwater level(Keumgang basin) 36

Table 1-12. Basic statistics of groundwater level(Youngsangang-Seomjingang basin) 39

Table 1-13. Distribution of average groundwater level of NGMN 41

Table 1-14. Distribution of groundwater level variation width of NGMN 41

Table 1-15. Classification of groundwater level fluctuation type of NGMN 46

Table 1-16. Classification of groundwater level fluctuation type of NGMN 51

Table 1-17. Groundwater level fluctuation trend of NGMN 56

Table 1-18. Linear regression analysis result(Hangang basin) 57

Table 1-19. Linear regression analysis result(Nakdonggang basin) 59

Table 1-20. Linear regression analysis result(Keumgang basin) 62

Table 1-21. Linear regression analysis result(Yongsangang-Seomjingang basin) 65

Table 1-22. Groundwater level change pattern using monthly percentile box-plot 67

Table 1-23. Groundwater level change pattern using total variation width 69

Table 1-24. Synthesized result of groundwater level fluctuation analysis of NGMN (Hangang-basin) 70

Table 1-25. Synthesized result of groundwater level fluctuation analysis of NGMN (Nakdonggang-basin) 72

Table 1-26. Synthesized result of groundwater level fluctuation analysis of NGMN (Keumgang-basin) 75

Table 1-27. Synthesized result of groundwater level fluctuation analysis of NGMN (Youngsangang-seomjingang-basin) 78

Table 2-1. Statistical summary of groundwater hydrogeochemstry from National Groundwater Monitoring Network of Korea 92

Table 2-2. Factor loadings calculated from PCA 102

Table 2-3. Center values of the five clusters determined using K-Means clustering 107

Table 2-4. Statistical summary of variables in total samples used in this study 111

Table 2-5. Statistical summary of variables in two groups 115

Table 2-6. Statistical summary of variables in four groups 115

Table 2-7. Statistical summary of variables in six groups 116

Table 2-8. Statistical summary of variables in eight groups 117

Table 2-9. Number of National groundwater monitoring well exceeding groundwater quality standard(domestic use) of Korea 125

Table 2-10. Statistical summary of nitrate concentrations from NGMN dataset, according to aquifer types (2001-2007) 126

Table 2-11. Multiple comparisons of nitrate concentration, according to some categorial factors 128

List of Figures

Fig. 1-1. Map showing the location of National Groundwater Monitoring Network, Korea. 21

Fig. 1-2. Distribution of groundwater level(depth to water, m) of NGMN. 42

Fig. 1-3. Distribution of groundwater level variation width of NGMN. 43

Fig. 1-4. Time-series groundwater hydrograph of UIryung-uiryung monitoring well showing typical S1(seasonal, sensitive to rain) type. 48

Fig. 1-5. Time-series groundwater hydrograph of Busan-dongdaesin monitoring well showing typical S2(seasonal, insensitive to rain) type. 48

Fig. 1-6. Time-series groundwater hydrograph of Hapchun-hapchun monitoring well showing typical I1(inclination, sensitive to rain) type. 48

Fig. 1-7. Time-series groundwater hydrograph of Hongsung-hongsung monitoring well showing typical I2(inclination, insensitive to rain) type. 49

Fig. 1-8. Time-series groundwater hydrograph of Tongyung-yongnam monitoring well showing typical St1(step, sensitive to rain) type. 49

Fig. 1-9. Time-series groundwater hydrograph of Daegu-daebong monitoring well showing typical R2(ramp, insensitive to rain) type. 49

Fig. 1-10. Time-series groundwater hydrograph of Buyeo-yangwha monitoring well showing typical C1(constance, sensitive to rain) type. 50

Fig. 1-11. Time-series groundwater hydrograph of Uiryung-bongsu monitoring well showing typical P1(impulse, sensitive to rain) type. 50

Fig. 1-12. Buyeo-buyeo monitoring well(bedrock) showing distinctive two type of groundwater fluctuation. 54

Fig. 1-13. Munkyung-nongam monitoring well(bedrock) showing step type of groundwater fluctuation. 55

Fig. 1-14. Chanyung-sungsan monitoring well(bedrock) showing impulse type of groundwater fluctuation affected by pumping. 55

Fig. 1-15. Wuijungbu-singok monitoring well(bedrock) showing downward inclination type of groundwater fluctuation. 56

Fig. 1-16. Typical percentile box-plot showing downward(a) and upward(b) pattern. 68

Fig. 1-17. Procedure for selecting monitoring well need to detail research for preventing groundwater hazard. 82

Fig. 2-1. Procedures of groundwater sampling and analysis for hydrogeochemical assessment. 90

Fig. 2-2. Piper plots of groundwaters from NGMN. 95

Fig. 2-3. Durov diagram of groundwater from NGMN. 95

Fig. 2-4. Box plots of hydrochemical parameters of groundwater from NGMN. 97

Fig. 2-5. Results of PCA analysis showing samples (factor scores) and variables (factor loadings) on 3D principal components coordinates. 103

Fig. 2-6. Result of cluster analysis showing cluster members and center values on 3D principal components coordinates. 107

Fig. 2-7. Maps showing the spatial distribution of 5 cluster members. Major characteristics of each member are also summarized in the index. 108

Fig. 2-8. Statistical distributions of TDS values in a) the box plot and b) the probability plot. Outliers are clearly detected in both plots. 111

Fig. 2-9. The number of clusters determined using the dendrogram of Ward's method. 113

Fig. 2-10. Pattern of group formation visualized in the SOM map. 114

Fig. 2-11. Distribution of hydrochemical parameters according to group formation. TDS, pH, Na, K, and Ca. 118

Fig. 2-12. Distribution of hydrochemical parameters according to group formation. Mg, Cl, SO₄, HCO₃, and NO₃. 119

Fig. 2-13. Spatial distribution of monitoring wells included in each group on hydrogeological map. 122

Fig. 2-14. The result of visualization of component planes in this study. 123

Fig. 2-15. Changes of nitrate concentrations in groundwater from NGMN during 13 sampling campaigns in 2001-2007. 127

Fig. 2-16. Box plots showing the distribution of nitrate concentrations in NGMN, according to the hydrogeologic parameters and land use. 129

초록보기

PartⅠ Characteristics of water level change from National Groundwater Monitoring Network, Korea

Analyses of long-term water level data (more than 5 years) of NGMN (National Groundwater Monitoring Network) were carried out to evaluate the characteristics of groundwater level change in Korea and to prevent groundwater hazard due to water level decline. Most of monitoring wells showed depth to water within 2~10 m and water level variation less than 6 m. Monitoring wells located in the bedrock aquifer has deeper water level and larger variation than the alluvial aquifer. Long-term monitoring data were classified into 24 types of water level fluctuation by analyzing time series data. First, all of monitoring wells are classified into 6 types: seasonal, impulse, constance, ramp, inclination and step. Then two factors such as sensitivity to rainfall (sensitive or insensitive), effect of pumping at neighboring well (affected or not)) were applied to each type for more detailed classification. The results showed that seasonal type occupied 66.8% of the whole monitoring wells, impulse 12.4%, constance 11.8%, ramp 4%, inclination 3.2%, and step 1.7%, respectively. Additionally 72.5% of monitoring wells were sensitive to rainfall and 24.6% were affected by pumping at neighboring well. From linear regression analysis of long-term monitoring data, 3.4% of the whole monitoring wells showed upward trend of water level (annual rate of water level increase was more than 0.05 m/year), and 14.7% showed downward trend (annual rate of water level decrease was more than 0.05 m/year). The results of monthly percentile box-plot showed that water level of 9.8% of the whole monitoring wells was rising, and 26.3% was descending. On the basis of result of analyses, the site selection standard which needs to be investigated for preventing groundwater hazard caused by water level change was proposed.

PartⅡ Hydrogeochemistry of groundwater from National Groundwater Monitoring Network, Korea

Analysis of groundwater quality characteristics of Korea was carried out using hydrochemical data of NGMN. Groundwater of Korea can be classified into 6 type according to the hydrochemical characteristics by Stiff and Durov diagram as follows 1) Low TDS, Low Nitrate, Ca-HCO₃ type, 2) High TDS, High Nitrate, Ca-Cl(SO₄) type 3) High TDS, Highest Nitrate, Ca(Na)-Cl(SO₄) type, 4) Low TDS, Low Nitrate, Na-HCO₃ type, 5) Highest TDS, Na-Cl type, 6) Highest TDS, Ca-SO₄ type. Kruskal–Wallis Hypothesis test result showed that there is no hydrogeochemical differences between bedrock and alluvial aquifer, and this implies that groundwater quality of bedrock aquifer originate from not long-time circulation within bedrock but mixing of shallow groundwater. Three principal components with accounted for 53% of the variability were extracted and each PCs can be explained as 1) anthropogenic influence, 2) water-rock interaction, 3) oxidation-reduction reaction respectively. The result of K-means cluster analysis showed that groundwater of Korea can be classified into 5 groups as follows 1) affected by anthropogenic activity group, 2) affected by water-rock interaction group, 3) less affected by anthropogenic activity group, 4) affected by anthropogenic activity group but decrease in nitrate due to reduction condition, 5) recently recharged group having reduction condition. SOM(Self Organizing Maps) analysis suggests 6 group and determined as useful tool for clustering of regional and multi-dimensional data. The result of Kruskal–Wallis test of nitrate concentration showed that aquifer depth, land use, water level and altitude of well affect nitrate concentration.

참고문헌 (78건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Geochemistry of the Heunghae, Pohang Geothermal Fields, Korea 소장
2 The geochemistry, age, and origin of groundwater in a mafic pluton, East Bull Lake, Ontario, Canada 네이버 미소장
3 Hydrogeochemistry of alluvial groundwaters in an agricultural area: an implication for groundwater contamination susceptibility 네이버 미소장
4 Fluorine geochemistry in bedrock groundwater of South Korea 네이버 미소장
5 Hydrochemical and stable isotopic assessment of nitrate contamination in an alluvial aquifer underneath a riverside agricultural field 네이버 미소장
6 Sources and biogeochemical behavior of nitrate and sulfate in an alluvial aquifer: Hydrochemical and stable isotope approaches 네이버 미소장
7 Evaluation 네이버 미소장
8 Statistics 네이버 미소장
9 Water-rock interaction and chemistry of groundwaters from the Canadian Shield 네이버 미소장
10 1967, Genesis of some ground waters from igneous rock: in Research in Geochemistry, Wiley, New York, 405-420. 미소장
11 1967. Origin of the chemical compositions of some springs and lakes. In: Equilibrium Concepts in Natural Water Chemistry. Advances in Chemistry Series, vol. 67. American Chemical Society, Washington, DC, pp. 222–242. 미소장
12 Intelligent characterisation and diagnosis of the groundwater quality in an urban fractured-rock aquifer using an artificial neural network 네이버 미소장
13 Review of the Self-Organizing Map (SOM) approach in water resources: Commentary 네이버 미소장
14 Identification of nitrate and sulfate sources in groundwater using dual stable isotope approaches for an agricultural area with different land use (Chuncheon, mid-eastern Korea) 네이버 미소장
15 Hydrochemical and multivariate statistical interpretations of spatial controls of nitrate concentrations in a shallow alluvial aquifer around oxbow lakes (Osong area, central Korea) 네이버 미소장
16 Land-use controls on sources and fate of nitrate in shallow groundwater of an agricultural area revealed by multiple environmental tracers 네이버 미소장
17 Self-organized formation of topologically correct feature maps 네이버 미소장
18 1995, Self-organizing maps. Springer, New York, USA. 미소장
19 2008. Cluster analysis applied to regional geochemical data: Problems and possibilities. Applied geochemistry. 23(8), 2198-2213. 미소장
20 2003, Geologic controls on the chemical behavior of nitrate in riverside alluvial aquifers, Korea. Hydrological Processess 17, 1197-1211. 미소장
21 1990. Forecasting and Time Series Analysis, McGraw Hill, p. 381. 미소장
22 2006, Final proposal for a methodology to set up groundwater threshold values in Europe. In: Report to the EU project "BRIDGE" 2006, Deliverable 18. http://www.wfd-bridge.net 미소장
23 OECD, Environmental Data: compendium 2006-2008 미소장
24 Playa lake and sheetflood deposits of the Upper Cretaceous Jindong Formation, Korea: Occurrences and palaeoenvironments 네이버 미소장
25 Traces of evaporites in Upper Cretaceous lacustrine deposits of Korea: Origin and paleoenvironmental implications 네이버 미소장
26 Application of a self-organizing map to select representative species in multivariate analysis: A case study determining diatom distribution patterns across France 네이버 미소장
27 Water resources research-past, present, and future 네이버 미소장
28 Statistical analysis of hydrographs and water-table fluctuation to estimate groundwater recharge 네이버 미소장
29 Aquatic chemistry: chemical equilibria and rates in natural waters 네이버 미소장
30 2003. World Water Resources at the Beginning of the 21st Century. International Hydrology Series, Cambridge. 미소장
31 2000, Hydrology of Helena area bedrock, west-central Montana, 1993-98: U.S. Geological Survey Water-Resources Investigations Report 00-4212, p. 119. 미소장
32 UNESCO, 2006. Water a shared responsibility. The United – Nations World Water Development Report 2. UNESCO, Paris/Berghahn Books. 미소장
33 USGS, 2001. Circular 1217 - Groundwater Level Monitoring and the Importance of Long-Term Water Level Data. 미소장
34 Geochemical mass balances and weathering rates in forested watersheds of the southern Blue Ridge 네이버 미소장
35 SOM-based data visualization methods 네이버 미소장
36 Report: 4th International Conference on Catalysis in Membrane Reactors 네이버 미소장
37 2001. 지하수 및 토양의 온도 관측자료를 이용한 함양량 산정기법, 2001년 한국지하수토양환경학회 추계학술발표회, p. 83-87. 미소장
38 2006. 기상관측소 지중온도 및 국가지하수관측망 수온자료 분석, 2006년 한국지하수토양환경학회 춘계학술발표회, p. 100-104. 미소장
39 지하수위 변동법에 의한 지하수 함양량 산정의 수치해석적 분석 소장
40 국토해양부, 2011, 수자원장기종합계획(2011~2020). 미소장
41 국토해양부, 2008, 지하수 법령집. 미소장
42 국토해양부․한국수자원공사, 2011, 지하수 조사연보. 미소장
43 Hydrogeochemical Evolution Related to High Fluoride Concentrations in Deep Bedrock Groundwaters, Korea 소장
44 2003. 국가 지하수관측소의 장기수위관측자료를 활용한 관측주기 결정 연구, 2003년 한국지하수토양환경학회 추계학술발표회, p. 199-201. 미소장
45 Classification and Characterization for Water Level Time Series of Shallow Wells at the National Groundwater Monitoring Stations 소장
46 표준강수지수와 지하수위의 상관성 평가 및 가뭄관측정 설치 방안 고찰 소장
47 2003. 수질 장기관측자료를 활용한 우리나라의 지하수 수질변동 특성, 2003년 한국지하수토양환경학회 춘계학술발표회, p. 94-96. 미소장
48 Evaluation of Estimating Groundwater Recharge Using Waterlevel Data Obtained from the National Groundwater Monitoring Stations 소장
49 Considerations on the Specific Yield Estimation Using the Relationship between Rainfall and Groundwater Level Variations 소장
50 2000. 국가 지하수관측소의 장기관측자료에 의한 지하수 변동특성, 2000년 한국지하수토양환경학회 추계학술발표회, p. 36-39. 미소장
51 Estimation of Groundwater Recharge Ratio Using Cumulative Precipitation and Water-level Change 소장
52 A Study on the Relation between Types and Recharges of Groundwater: Analysis on National Groundwater Monitoring Network Data 소장
53 2004. 다변량 분석, 학지사. 미소장
54 2002. 국가지하수관측망의 수위 및 온도 자료를 이용한 함양량 산정, 2002년 한국지하수토양환경학회 춘계학술대회, p. 351-356. 미소장
55 2007. 변동유형 분석법을 이용한 해수침투 관측망 자료 평가, Jour. Korea Earth Science Society Vol. 28, No.4, p. 478-490. 미소장
56 The Correlation between Groundwater Level and the Moving Average of Precipitation considering Snowmelt Effect and Critical Infiltration in Han River Watershed 소장
57 2008. 한국 남부지방의 강수량 이동평균과 지하수위의 상관관계, The Journal of Engineering Geology Vol. 18(4), p. 393-403. 미소장
58 2002. 장기관측자료 시계열분석을 통한 대수층 특성 평가, 2002년 한국지하수토양환경학회 추계학술발표회, p. 265-268. 미소장
59 국가 지하수관측소 지하수위 자료에 대한 시계열분석 연구 소장
60 Analysis of Abnormal Values Obtained from National Groundwater Monitoring Stations 소장
61 Parametric and Non-parametric Trend Analysis of Groundwater Data Obtained from National Groundwater Monitoring Stations 소장
62 Earthquake Observation through Groundwater Monitoring: A case of M4.9 Odaesan Earthquake 소장
63 2005. 국가지하수관측망 자료를 이용한 지하수수위변동 경향 분석, 2005년 대한지질학회 추계학술발표회, p. 145. 미소장
64 Statistical Analysis of Aquifer Characteristics Using Pumping Test Data of National Groundwater Monitoring Wells for Korea 소장
65 피크형의 변동성을 갖는 국가지하수 관측소 지하수위 결측자료 보완 소장
66 크리깅에 의한 장기관측 지하수위 결측자료 보완 소장
67 Estimation of Groundwater Recharge by Considering Runoff Process and Groundwater Level Variation in Watershed 소장
68 A Study on Delineation of Groundwater Recharge Rate Using Water-Table Fluctuation and Unsaturate Zone Soil Water Content Model 소장
69 2006. 효율적인 지하수 수질관리를 위한 수리지구화학 자료의 활용성 증대방안 -지하수 장해우려지역조사연구 사례-, 2006년 한국지하수토양환경학회 춘계학술발표회. 미소장
70 한국수자원공사, 2009. 지하수 관측망 수위자료를 활용한 지하수 함양량 산정모델개발. 미소장
71 한국수자원공사, 2004. 국가지하수관측망 운영관리 최적화방안 연구. 미소장
72 한국수자원공사․국토해양부, 2005. 지하수 장해우려지역 대책방안 연구. 미소장
73 한국수자원공사․국토해양부, 2006. 2006 지하수 장해우려지역 조사 및 대책방안 연구. 미소장
74 한국수자원공사․국토해양부, 2009. 2009 지하수 장해우려지역 조사 및 대책방안 수립. 미소장
75 한국수자원공사․국토해양부, 2010. 2010 지하수 장해우려지역 조사. 미소장
76 한국수자원공사․국토해양부, 2011. 2011 지하수 변동실태 정밀조사. 미소장
77 한국환경정책․평가연구원, 2007. 지하수의 합리적인 이용․관리를 위한 정책방향. 미소장
78 지하수의 수질보전 등에 관한 통합업무처리지침 네이버 미소장

추천서가 (다양한 추천 자료를 만나보세요)

권호기사보기

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 기사목차

권호

기사명 원문보기 기사목차
닫기