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개선된 DRASTIC 기법과 퍼지기법을 이용한 밀양지역 지하수오염 취약성 평가 = Assessment of Groundwater Contamination Vulnerability in Miryang City, Korea using Advanced DRASTIC and fuzzy Techniques on the GIS Platform / 정상용 ; 후삼 엘딘 엘자인 ; 벤카트라마난 세나파티 ; 박계헌 ; 권해우 ; 유인걸 ; 오해림 1

ABSTRACT 1

1. 서론 1

2. 연구지역 개황 2

3. 연구재료 및 방법 4

3.1. 지하수 오염취약성 평가 4

4. 연구결과 및 고찰 8

4.1. 기존 DRASTIC 모델(ODM) 적용 8

4.2. 개선된 DRASTIC 모델(ADM) 적용 9

4.3. 퍼지 DRASTIC 모델(FDM) 적용 10

4.4. 모델 우수성 검증 13

5. 결론 13

References 14

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기사명 저자명 페이지 원문 목차
해외원전 비계획적 방출 및 한국의 환경감시 현황 분석 = Review of Unplanned Release at Foreign Nuclear Power Plants and Radiological Monitoring at Korean Power Plants 박수찬, 함박눈, 권장순, 조동건, 정지혜, 권만재 p.1-15

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지방상수도의 신규 수원과 재생에너지원으로서 고산출성 대수층의 활용 = The Practical Use of the Productive Aquifer Systems as a Source of a Renewable Thermal Energy and Local Water Works 한정상 p.16-25

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오염원 인근 토양 중 베릴륨(Be), 코발트(Co), 탈륨(Tl), 바나듐(V)의 농도분포 및 오염영향 평가 = Evaluation of the Concentration Distribution and the Contamination Influences for Beryllium, Cobalt, Thallium and Vanadium in Soil Around the Contaminated Sources 이홍길, 노회정, 윤정기, 임종환, 임가희, 김현구, 김지인 p.48-59

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개선된 DRASTIC 기법과 퍼지기법을 이용한 밀양지역 지하수오염 취약성 평가 = Assessment of Groundwater Contamination Vulnerability in Miryang City, Korea using Advanced DRASTIC and fuzzy Techniques on the GIS Platform 정상용, 후삼 엘딘 엘자인, 벤카트라마난 세나파티, 박계헌, 권해우, 유인걸, 오해림 p.26-41

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Toluene-o-monooxygenase와 Fluoresceinamine을 이용한 Trichloroethene와 Tetrachloroethene 감지용 광섬유 바이오센서의 특성 = Characteristics of Trichloroethene and Tetrachloroethene Sensing Optical Fiber Biosensor Using Toluene-o-monooxygenase and Fluoresceinamine 류두현 p.42-47

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참고문헌 (60건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Groundwater Vulnerability Mapping Using Lineament Density on Standard DRASTIC Model: Case Study in Halabja Saidsadiq Basin, Kurdistan Region, Iraq 네이버 미소장
2 Aller, L., T. Bennett, Lehr, J.H., Petty, R., and Hackett, G., 1987, DRASTIC: a standardized system to evaluate groundwater pollution potential using hydrogeologic settings, U.S. Environmental Protection Agency, Ada, Oklahoma 74820. 미소장
3 Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran 네이버 미소장
4 Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: A case study from Heretaunga Plains, New Zealand 네이버 미소장
5 A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC 네이버 미소장
6 A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran 네이버 미소장
7 Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment 네이버 미소장
8 LINDENS: A program for lineament length and density analysis 네이버 미소장
9 A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran 네이버 미소장
10 Fuzzy logic fusion of W-Mo exploration data from Seobyeog-ri, Korea 소장
11 A Study on the Estimation of Regional Groundwater Recharge Ratio 네이버 미소장
12 Estimation of groundwater recharge in a district-scale area using 18O tracer 소장
13 Demico, R.V. and Klir G.J. 2004, Fuzzy logic in geology, Elsevier, Academic Press. 미소장
14 Dixon, B., 2004. Prediction of groundwater vulnerability using integrated GIS-based neuro-fuzzy techniques, J. of Spatial Hydrology, 4(2), 1-38. 미소장
15 Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis 네이버 미소장
16 Dixon, B., 2005b, Groundwater vulnerability mapping: a GIS and fuzzy rule based integrated tool, J. of Applied Geography 25, 327-347. 미소장
17 Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey) 네이버 미소장
18 A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC 네이버 미소장
19 Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran 네이버 미소장
20 An Aquifer Vulnerability Assessment of the Paluxy Aquifer, Central Texas, USA, Using GIS and a Modified DRASTIC Approach 네이버 미소장
21 Assessment of groundwater vulnerability to pollution: a combination of GIS, fuzzy logic and decision making techniques 네이버 미소장
22 Engineering geology of quaternary deposits 네이버 미소장
23 Hahn, J., Hahn, K.S., Lee, Y.D., and Yoo, D.H., 1990, An assessment of groundwater pollution potential of a proposed petrochemical plant site in Ulsan, South Korea, J. Kor. Inst. Mining Geol., 23(4), 425-452. 미소장
24 Ham, S.Y., Cheong, J.Y., Kim, M.J., Kim, I.S., and Hwang, H.S., 2004, Assessing groundwater vulnerability using DRASTIC method and groundwater quality in Changwon city, Kor. Soc. Econ. Environ. Geol., 37(6), 631-645. 미소장
25 Estimation of groundwater vulnerability to pollution based on DRASTIC in the Niipele sub-basin of the Cuvelai Etosha Basin, Namibia 네이버 미소장
26 A Study on Groundwater Contamination Potential of Pyungtaek-Gun Area, Kyunggi-Do Using GIS 네이버 미소장
27 Jo, S.B. and Shon, H., 2004, A study on the prediction of groundwater contamination using GIS, J. Kor. Geophysical Soc., 7(2), 121-134. 미소장
28 A Comparative Application of DRASTIC and SINTACS Models for The Assessment of Groundwater Vulnerability of Buyeo Area 소장
29 Application of representative elementary area (REA) to lineament density analysis for groundwater implications 소장
30 Consideration of Trends and Applications of Groundwater Vulnerability Assessment Methods in South Korea 소장
31 Kim, J.Y. and Park, H.-J., 2013, A Comparative study of fuzzy relationship and ANN for landslide susceptibility in Pohang area, Kor. Soc. Econ. Environ. Geol., 46(4), 301-312. 미소장
32 Engineering geology in underground aggregate mining and space utilisation 네이버 미소장
33 Estimating Groundwater Recharge using the Water-Table Fluctuation Method: Effect of Stream-aquifer Interactions 소장
34 Evaluation of Aquifer Vulnerability Using Drastic Model and GIS: A Case Study of Mysore City, Karnataka, India 네이버 미소장
35 A Joint Application of DRASTIC and Numerical Groundwater Flow Model for The Assessment of Groundwater Vulnerability of Buyeo-Eup Area 소장
36 Lee, K.H., 2004, First Course on Fuzzy, Theory and Applications, Springer, Berlin, p.335. 미소장
37 Priority Assessment for Groundwater Contamination Management Using Analytic Hierarchy Process (AHP) and GIS Approach 소장
38 Lee, S.R. and Kim Y.J., 1996, Analysis of groundwater pollution potential and risk using DRASTIC SYSTEM, J. GIS Ass. Korea, 4(1), 1-11. 미소장
39 Groundwater Pollution Susceptibility Assessment of Younggwang Area Using GIS Technique 네이버 미소장
40 Analysis of Groundwater Pollution Potential and Development of Graphic User Interface using DRASTIC System 네이버 미소장
41 Miryang City, General statistical Data of Miryang City, http://www.miryang.go.kr [accessed 18.04.03.] 미소장
42 MOCT.KOWACO, 2003, Report on groundwater basic investigation in Miryang city. 미소장
43 MOLTM.K-Water, 2012, Repot on national groundwater management plan (2012-2021). 미소장
44 Evaluation of a GIS-Based Integrated Vulnerability Risk Assessment for the Mancha Oriental System (SE Spain) 네이버 미소장
45 Nadiri, A.A., 2015, Application of artificial intelligence methods in geosciences and hydrology, OMICS Publication, p.124. 미소장
46 Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM) 네이버 미소장
47 National Groundwater Information Center (NGIC), http://www.gims.go.kr, Groundwater of Miryang City [accessed 18. 06.11] 미소장
48 Estimation of the Available Amount of Groundwater in South Korea: 1. Development of the Method 네이버 미소장
49 Evaluation 네이버 미소장
50 Park, N.-W., Chi, K.-H., and Kwon, B.-D., 2005, Application of fuzzy information representation using frequency ratuo and nonparametric density estimation to mutiple-source spatial data fusion for landslide hazard mapping, J. Kor. Earth Sci. Soc., 26(2), 114-128. 미소장
51 Park, N.-W., Chi, K.-H., and Kwon, B.-D., 2004, Classification of multi-sensor remote sensing images using fuzzy logic fusion and iterative relaxation labeling, Kor. J. Remote Sensing, 20(4), 275-288. 미소장
52 Piscopo, G., 2001, Groundwater vulnerability map, explanatory notes-Castlereagh catchment, Parramatta NSW: Australia NSW Department of Land and Water Conservation. 미소장
53 Secunda, S., Collin, M.L., and Melloul, A.J., 1998, Groundwater vulnerability assessment using a composite model combining DRASTIC with extensive agricultural land use in Israel's Sharon region, J. of Environmental Management, 54(1), 39-57. 미소장
54 Comprehensive studies of hydrogeochemical processes and quality status of groundwater with tools of cluster, grouping analysis, and fuzzy set method using GIS platform: a case study of Dalcheon in Ulsan City, Korea 네이버 미소장
55 Factors controlling groundwater quality in the Yeonjegu District of Busan City, Korea, using the hydrogeochemical processes and fuzzy GIS 네이버 미소장
56 Assessment of aquifer vulnerability based on GIS and DRASTIC methods: a case study of the Senirkent-Uluborlu Basin (Isparta, Turkey) 네이버 미소장
57 Geophysics beyond resources 네이버 미소장
58 Woo, N.C., 1994, Introduction to DRASTIC: a method for groundwater vulnerability assessment, Kor. J. Econ. Environ. Geol., 27(6), 611-612. 미소장
59 Fuzzy sets 네이버 미소장
60 Zghibi, A., Merzougui, A., Chenini, I., Ergaieg, K., Zouhri, L., and Tarhouni, J., 2016, Groundwater vulnerability analysis of Tunisian coastal aquifer: an application of DRASTIC index method in GIS environment, Groundwater for Sustainable Development, 2, 169-181. 미소장

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