RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      Regional-Scale Evaluation of Groundwater Susceptibility to Nitrate Contamination Based on Soil Survey Information

      한글로보기

      https://www.riss.kr/link?id=A100294151

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      국문 초록 (Abstract)

      비점오염제어에 있어서 상대적으로 지하수오염의 가능성이 높은 지역을 선별하고 주된 오염원을 파악하는 것은 그 기여도가 대단히 크다. 이 연구는 제주도를 연구지역으로 하였으며, 현재 가장 중요한 오염물질 중의 하나인 질산태 질소를 대상오염물질로 하였다. 기존 및 실제 조사에 의한 토양정보를 토대로 pedotransfer function과 수분이동 모델을 이용하여 토양통별로 산출된 질산태질소오염 민감도 지수를 통해 민감도분포도를 작성하였으며(semi process-based 법), 이를 실제 모니터링된 2,020개의 수질자료와 비교하였고 제안된 semi process-based 법은 기존의 전문가의 의견과 판단에 의존하거나 방대한 파라메터를 요구하는 기존방법들의 단점을 극복하고 충분한 지형적 해상력을 제공하였을 뿐만 아니라, 알려진 질산태 질소 모니터링 자료와도 대부분 잘 부합하였다. 본 연구를 통해 얻어진 결과들은 오염민감성이 높은 지역을 우선 선정하여 주의와 관리대책을 세우는 동시에 주요한 오염원을 파악함으로써 지하수자원을 합리적이고 효율적으로 보호하는데 있어서 유용한 수단이 될 것으로 판단되었다.
      번역하기

      비점오염제어에 있어서 상대적으로 지하수오염의 가능성이 높은 지역을 선별하고 주된 오염원을 파악하는 것은 그 기여도가 대단히 크다. 이 연구는 제주도를 연구지역으로 하였으며, 현재...

      비점오염제어에 있어서 상대적으로 지하수오염의 가능성이 높은 지역을 선별하고 주된 오염원을 파악하는 것은 그 기여도가 대단히 크다. 이 연구는 제주도를 연구지역으로 하였으며, 현재 가장 중요한 오염물질 중의 하나인 질산태 질소를 대상오염물질로 하였다. 기존 및 실제 조사에 의한 토양정보를 토대로 pedotransfer function과 수분이동 모델을 이용하여 토양통별로 산출된 질산태질소오염 민감도 지수를 통해 민감도분포도를 작성하였으며(semi process-based 법), 이를 실제 모니터링된 2,020개의 수질자료와 비교하였고 제안된 semi process-based 법은 기존의 전문가의 의견과 판단에 의존하거나 방대한 파라메터를 요구하는 기존방법들의 단점을 극복하고 충분한 지형적 해상력을 제공하였을 뿐만 아니라, 알려진 질산태 질소 모니터링 자료와도 대부분 잘 부합하였다. 본 연구를 통해 얻어진 결과들은 오염민감성이 높은 지역을 우선 선정하여 주의와 관리대책을 세우는 동시에 주요한 오염원을 파악함으로써 지하수자원을 합리적이고 효율적으로 보호하는데 있어서 유용한 수단이 될 것으로 판단되었다.

      더보기

      다국어 초록 (Multilingual Abstract)

      Susceptibility assessment of groundwater contamination is a useful tool for many aspects of regional and local groundwater resources planning and management. It can be used to direct regulatory, monitoring, educational, and policy-making efforts to highly vulnerable areas. In this study, a semi process-based was proposed to evaluate relative susceptibilities to groundwater contamination by nitrate on a regional scale. Numerical simulation based on data from each soil series was done to model water flow within soil profiles that were related to groundwater contamination by nitrate. Relative vulnerability indices for each soilseries were produced by manipulation of amount of leaching flux, amount of average water storage in a soil profile, and amount of average water storage change. These indices were designed to convey the trend of leaching flux and to maximize spatial resolution. The resulting vulnerability distribution map was used to locate highly vulnerable sites easily with an appropriate grouping the indices, and was then compared with those from groundwater nitrate concentrations monitored. An excellent agreement was obtained across nitrate concentrations from the highly vulnerable regions and those from the low to stable regions.
      번역하기

      Susceptibility assessment of groundwater contamination is a useful tool for many aspects of regional and local groundwater resources planning and management. It can be used to direct regulatory, monitoring, educational, and policy-making efforts to hi...

      Susceptibility assessment of groundwater contamination is a useful tool for many aspects of regional and local groundwater resources planning and management. It can be used to direct regulatory, monitoring, educational, and policy-making efforts to highly vulnerable areas. In this study, a semi process-based was proposed to evaluate relative susceptibilities to groundwater contamination by nitrate on a regional scale. Numerical simulation based on data from each soil series was done to model water flow within soil profiles that were related to groundwater contamination by nitrate. Relative vulnerability indices for each soilseries were produced by manipulation of amount of leaching flux, amount of average water storage in a soil profile, and amount of average water storage change. These indices were designed to convey the trend of leaching flux and to maximize spatial resolution. The resulting vulnerability distribution map was used to locate highly vulnerable sites easily with an appropriate grouping the indices, and was then compared with those from groundwater nitrate concentrations monitored. An excellent agreement was obtained across nitrate concentrations from the highly vulnerable regions and those from the low to stable regions.

      더보기

      목차 (Table of Contents)

      • Introduction
      • Materials and Methods
      • Results and Discussion
      • Conclusion
      • Acknowledgements
      • Introduction
      • Materials and Methods
      • Results and Discussion
      • Conclusion
      • Acknowledgements
      • References
      더보기

      참고문헌 (Reference)

      1 Richards, R., "Wellwaterquality, wellvulnerability, and agricultural contamination in the midwestern United States" 25 : 389-402, 1996

      2 Jury, W.A., "Water flow in unsaturated soil In Soil Physics 5th" John Wiley & Sons, Inc. 87-112, 1991

      3 Vanclooster, M., "WAVE Reference and User's Manual (Release 2.0)"

      4 Riggle, M.A, "The Wisconsin groundwater contamination susceptibility map" 3 : 85-88, 1991

      5 Rundquist, D.C., "Statewide groundwater-vulnerability assessment in Nebraska using the DRASTIC/GIS model" 2 : 51-58, 1991

      6 Yoo, S.H, "Soil and water contamination issues in the Republic of Korea" Chinese Association of Science, Beijing, China, and Korean Associationof Scienceand Technology 1999

      7 Pettyjohn, W.A., "Regional Assessment of Aquifer Vulnerability and Sensitivity in the conterminous UnitedStates" Roberst S. Kerr Environmental Research Laboratory 1991

      8 Navulur, K.C.S, "Predicting spatial distribution of vulnerability of Indiana state aquifer systems to nitrate leaching usinga GIS" U.S. National Center for Geographic Information and Analysis 1996

      9 Cohen, S., "Potential for pesticide contamination of groundwater resulting from agricultural uses In Treatment and Disposal of Pesticide Waste" American Chemical Society 1984

      10 ASI(Agricultural Sciences Institute), "Phosphorus In Soil Chemical Analysis"

      1 Richards, R., "Wellwaterquality, wellvulnerability, and agricultural contamination in the midwestern United States" 25 : 389-402, 1996

      2 Jury, W.A., "Water flow in unsaturated soil In Soil Physics 5th" John Wiley & Sons, Inc. 87-112, 1991

      3 Vanclooster, M., "WAVE Reference and User's Manual (Release 2.0)"

      4 Riggle, M.A, "The Wisconsin groundwater contamination susceptibility map" 3 : 85-88, 1991

      5 Rundquist, D.C., "Statewide groundwater-vulnerability assessment in Nebraska using the DRASTIC/GIS model" 2 : 51-58, 1991

      6 Yoo, S.H, "Soil and water contamination issues in the Republic of Korea" Chinese Association of Science, Beijing, China, and Korean Associationof Scienceand Technology 1999

      7 Pettyjohn, W.A., "Regional Assessment of Aquifer Vulnerability and Sensitivity in the conterminous UnitedStates" Roberst S. Kerr Environmental Research Laboratory 1991

      8 Navulur, K.C.S, "Predicting spatial distribution of vulnerability of Indiana state aquifer systems to nitrate leaching usinga GIS" U.S. National Center for Geographic Information and Analysis 1996

      9 Cohen, S., "Potential for pesticide contamination of groundwater resulting from agricultural uses In Treatment and Disposal of Pesticide Waste" American Chemical Society 1984

      10 ASI(Agricultural Sciences Institute), "Phosphorus In Soil Chemical Analysis"

      11 Olsen, S.R, "Phosphorus In Methods of Soil Analysis, Part 2. Chemical and Microbiological Properties"

      12 Domagalski, J, "Pesticide residues in ground water of the San Joaquin valley" 130 : 299-338, 1992

      13 Green,A.J, "Particle-size analysis In Manual on Soil Sampling and Methods of Analysis"

      14 Day,P.R, "Particle fractionation and particle-size analysis In Methods of Soil Analysis, Part I. Physical and Mineralogical Properties, Including Statistics of Measurement and Sampling"

      15 Vinten, A.J.A, "Nitrogen cycling in agricultural soils"

      16 Preussman, R, "N-nitroso. carcinogens In Chemical Carcinogens ACS Monographs 182"

      17 Yoon, J.S, "Local characteristics of groundwate rresources of Cheju Island and seasonal variation in groundwater table (In Korean)" Society for Cheju Studies 1994

      18 Regan, J.J, "In Proc. of the Third Forest Service Romote Sensing Applications Conference, Tucson" Am. Soc. for Photogrammetry and Remote Sensing, Bethesda, MD 232-240, 1990

      19 Lee, C.B, "Groundwater resources of Korea and development strategies (In Korean)" Rural Development Corporation 1994

      20 NRC(National Research Council), "Ground Water Vulnerability Assessment: Predicting Relative Contamination Potential under Conditions of Uncertainty"

      21 Bray, R.H, "Determination of total, organic, and available forms of phosphorus in soils" 59 : 39-45, 1945

      22 ASI(Agricultural Sciences Institute), "Detailed Soil Map: Je Ju Do. ASI"

      23 Aller, L., "DRASTIC : A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings" U.S. Environmental Protection Agency 1987

      24 Comly,H.H, "Cyanosis in infants caused by nitrate in well water" 129 : 112-116, 1945

      25 Song,K.C, "Chemical Characteristics of Soils in JejuIsland (In Korean)" Seoul National Univ. 1982

      26 Thomas,G.W, "Assessment of the potential of land areas in Kentucky for groundwater contamination from use of fertilizer nitrogen, agricultural chemicals, and animal manure In Agricultural Chemical Use Impacts on Kentucky Groundwater Resources, 1991 Status Report. College of Agriculture, Kentucky Geological Survey" Institute for Mining and Minerals Research, University of Kentucky 25-34, 1992

      27 Song,K.C, "Andic Properties of Major Soils in ChejuIsland (In Korean)" Seoul National Univ. 1989

      28 Mualem,Y, "A new model predicting the hydraulic conductivity of unsaturated porus media" 12 : 513-522, 1976

      29 Walkley,A, "A critical examination of a rapid method for determining organic carbon in soils: Effect of variations in digestion conditions and of inorganic soil constituents" 63 : 251-263, 1947

      30 van Genuchten,M.Th, "A closed-form equation for predicting the hydraulic conductivity of unsaturated soils" 44 : 892-898, 1980

      31 Evans, A.E, "A Spatial and Statistical Assessment of the Vulnerability of Texas Groundwater to Nitrate Contamination" Center for Researchin Water Resources, University of Texas 1995

      32 U.S.Environmental Protection Agency, "A Review of Methods for Assessing Aquifer Sensitivity and Ground Water Vulnerability to Pesticide Contamination. Office of Water (WH-550)" USEPA 1993

      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-05-25 학술지명변경 한글명 : Korean Journal of Soil Science and Fertilizer -> 한국토양비료학회지(Korean Journal of Soil Science and Fertilizer) KCI등재
      2006-06-20 학술지명변경 한글명 : Korean Journal of Soil Science & Fertilizer -> Korean Journal of Soil Science and Fertilizer KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.37 0.37 0.36
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.38 0.41 0.544 0.08
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼