10 research outputs found
Groundwater vulnerability assessment for protection and management of water quality
Thesis(master`s)--μμΈλνκ΅ λνμ :μ§κ΅¬νκ²½κ³ΌνλΆ,2006.Maste
νλΆμ λ°μκΈ°μμ μ΄μκ³ λ©νμ¬μ μ΄μ©ν RBD νμ μ μ μ΄μμ€ν λ₯΄νλ°μμ κ΄ν μ°κ΅¬
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Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :ννμ물곡νλΆ,2006.Maste
μ§νμ μ€μΌμ μμΈκ³Ό μν₯ λΆμμ μν μ§μ λ° κ°μ μλ£μ νμ©
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Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ λνμ : μ§κ΅¬νκ²½κ³ΌνλΆ, 2013. 8. μ΄κ°κ·Ό.μ§νμ μ€μΌμ νκ²½μ μΈ μμΈ, μΈμμ μΈ μμΈ λ±μ΄ κ²°ν©λ λ€μν μμΈμΌλ‘ μΈν΄μ λ°μνλ κ²½μ°κ° λ§λ€. λ°λΌμ μ€μΌ μ‘°μ¬ νμ₯μ νΉμ±μ λΆν©νλ μ μ ν λ°©λ²λ€μ λ€μνκ² μ μ©ν΄μ μ§νμ μ€μΌμ λΆμνλ κ²μ΄ νμνλ€. λ³Έ μ°κ΅¬λ κ° νμ₯μ νΉμ±μ λ°λΌ μ μ© κ°λ₯νκ±°λ νμν μ€μΌ λΆμ λ°©λ²λ€μ μ μ νκ² ν΅ν©νμ¬ μ§νμ μ€μΌμ νκ°νλ λ°©λ²μ μ μνκ³ μλ€. λ³Έ λ
Όλ¬Έμ μΈ κ°μ§ μ£Όμ λ κ°κ° μλ‘ λ€λ₯Έ νκ²½μμ λ€λ₯Έ μμΈμ μνμ§νμ μ€μΌμ λΆμνλ κ²μ λ€λ£¨κ³ μλ€.
첫 λ²μ§Έ μ£Όμ λ λμ΄μ§μμμ μ§νμ μ€μΌμ νκ°νλ λ΄μ©μΌλ‘ μ§νμ λ΄μ μ©μ§ μ΄λμ μμΉλͺ¨μ νλ λ°©λ²κ³Ό λ€λ³λ νκ·λΆμ λ°©λ²μ ν΅ν©νμ¬ ν μ§ μ΄μ© μμμ΄ μ§νμ μμ§μ λ―ΈμΉλ μν₯μ μ λν νλ λ°©λ²μ μ μνκ³ μλ€. μ΄λ₯Ό μν΄ μ©μ§ μ΄λμ 물리μ κ³Όμ μ λ°μν μλ°©ν₯ μ΄λ λ°©μ μμ μ¬μ©νμ¬ νλ₯ μ ν¬νκΆμ μ€μ νμλ€. νλ₯ μ ν¬νκΆμ κ΄μ μΈκ·Όμμ μ€μΌλ¬Όμ§μ μ μΆμ΄ λ°μν λ, κ΄μ μμ μμλλ μ§νμ μμ§μ΄ κ·Έ μν₯μ λ°κ² λλ μ μΆ μμκ³Ό κ·Έ μ λλ₯Ό νλ₯ κ°μΌλ‘ λνλ΄μ΄ μ€λ€. Tobit νκ· λΆμμ μ’
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립 λ³μμ μκ΄κ΄κ³λ₯Ό λΆμνλ λ°©λ²μ νλλ‘ λ³Έ μ°κ΅¬μμλ μ€μΌλ¬Όμ§μ λλλ₯Ό λ
립 λ³μλ‘ νμ¬ λ€λ₯Έ μμλ€μ΄ μ§νμ λλμ λ―ΈμΉλ μν₯μ μ΄ν΄λ³΄κΈ° μν΄ μ¬μ© λμλ€. νλ₯ μ ν¬νκΆκ³Ό νκ·λΆμλ²μ ν΅ν©ν λͺ¨λΈμ ν΅ν΄μ μ°κ΅¬ νμ₯μΈ μΆμ²μ μκ·λͺ¨ λμ
λΆμ§μ κ΄μ μμ κ²μΆλ μ§μ°μ± μ§μμ λλκ° μΈκ·Όμ λ°, κ³Όμμ, μΆμ¬ λ±μ μν΄ μΌλ§λ μν₯μ λ°λμ§λ₯Ό μμ 보μλ€.
λ λ²μ§Έ μ£Όμ λ κ°μΆ 맀λͺ°μ§μμ λ°μνλ μΉ¨μΆμμ κ±°λμ κ΄ν μ°κ΅¬λ‘ 맀λͺ°μ§λΌλ μ°κ΅¬ νμ₯μ νΉμ±μ κ΄μΈ‘κ³Ό μ§νμ μλ£ μμ§ λ±μ κ΄ν νλμ΄ μμ λ‘μ§ λͺ»νλ€λ μ μ½μ΄ μλ 쑰건μμ μ§νλμλ€. μ§νμ κ΄μ μ μ¬μ©νλ κ²μ΄ μ νμ μ΄λΌλ μ μ 극볡νκ³ μ¬μ©ν μ μλ μλ£λ₯Ό μμ§νκΈ° μν΄μ μ κΈ°λΉμ ν νμ¬κ° μ§νλμλ€. μΈ‘μ λ μ κΈ°λΉμ ν κ°μ μ°κ΅¬ νμ₯μ μΉ¨μΆμ λͺ¨λΈλ§ κ²°κ³Όμ λΉκ΅νμ¬ λͺ¨λΈμ μ ν¨μ±μ κ²μ¦νλλ° μ¬μ©λμλ€. μ κΈ°λΉμ ν νμ¬ κ²°κ³Όλ₯Ό 보μ¬μ£Όλ κ·Έλ¦Όκ³Ό μΉ¨μΆμ λΆν¬λ₯Ό 보μ¬μ£Όλ λͺ¨λΈλ§ κ²°κ³Ό κ·Έλ¦Όμ μ μ¬μ±μ μ λμ μΌλ‘ λΉκ΅ν΄μ μλ£κ° μ νμ μΈ μνμμ λ§λ€μ΄μ§ μμΉλͺ¨λΈμ μΉ¨μΆμ κ±°λμ μμΈ‘νλλ° μ¬μ©ν μ μλλ‘ νλ€.
λ§μ§λ§ μ£Όμ λ μ리μ§νν μλ£μ μμ λμμμλ₯Ό μ¬μ©νμ¬ μ¬μ ν΄μκ°μ μμΉν μ§ν μμ λΉμΆ κΈ°μ§μ μΌνλ μΌμΆμμ νΉμ±μ λΆμ, μΌλΆμ κΈ°μκ³Ό μ μ
κ²½λ‘λ₯Ό λΆμνλ μ°κ΅¬μ΄λ€. μ°κ΅¬ μ§μμ ν΄μκ°λΌλ νκ²½μ νΉμ±κ³Ό μ§νλΉμΆκΈ°μ§λΌλ μμ€μ νΉμ±μΌλ‘ μΈν΄ λ¨μνμ§ μμ ν΄μμ μ μ
μ΄ μμλλ κ³³μΌλ‘ λ€μν μ κ·Ό λ°©λ²μ κ°κ³ μ°κ΅¬κ° μ§νλμλ€. Cl-/Br-μ λΉμ¨, μ£Όμ μ΄μ¨λ€μ μ£Όμ±λΆ λΆμ, μμ λμμμ μλ£λ€λ‘λΆν° λμ¨ κ²°κ³Όλ€κ³Ό νμ₯μ μ리μ§μ§νμ νΉμ±μ μ’
ν©νμ¬ λΉμΆκΈ°μ§ μΌμΆμμ μΌλΆ κΈ°μκ³Ό μΌν μ λλ₯Ό λΆμνμλ€.Often the groundwater contamination is derived from multiple causes of both the environmental and anthropogenic sources. Thus, analysis of contamination needs to be approached with multiple methods appropriate for the characters of investigation site. This study suggests integration of different methods which are properly chosen
according to the site specific characteristics when evaluating groundwater contamination. Each of the three topics which comprise this study deals with analysis of groundwater contamination from environmental-anthropogenic coupled sources in various environment.
In the first topic, modeling of solute transport is integrated into a regression method to analyze the effect of land use on groundwater quality and to predict contaminant concentration of groundwater in an agricultural region. A backward transport equation, which is a mathematical model based on the physical processes of solute transport, is used to delineate probabilistic capture zones. The probabilistic capture zone defines the area where contaminant discharge can have a direct influence, with pertinent probability, on the quality of groundwater pumped from a well. Tobit regression analysis is used to find the relationship between independent regression variables and a dependent variable, which is a contaminant concentration in this study. The capture zone and the regression analysis are combined into a model, and its applicability for prediction of nitrate concentration is tested in a small agricultural basin in Chuncheon, Korea, which is occupied mainly by vegetation fields, orchards, and small barns.
The second topic is about leachate transport from livestock mortality burial during the decomposition of carcasses. Due to the specificity of the site, there was only one well for monitoring and sampling groundwater and it was difficult to set up additional wells even for research purposes. In order to overcome the limitation of using monitoring wells, electrical resistivity survey is used as an alternative method of obtaining data. The electrical resistivity measures were compared with the result of
leachate transport model of the study site. The properties of the images from the two different methods were compared and analyzed for quantitative assessment of the
simulation model to increase accuracy in prediction of leachate transport.
The last topic uses hydrogeochemical and isotopic indicators to assess the characteristics of salinized seepage into an underground oil storage cavern in a coastal area of Yeosu, Korea. The construction and operation of underground caverns can act as groundwater sinks near a coastal area. In an environment complicated with such artificial structures, seawater intrusion is not simple and thus needs to be evaluated by means of multiple analytical approaches. Cl-/Br- ratios, principal component analysis (PCA) of chemical data, and stable isotope data were used to determine the origin and the extent of salinization. These data are interpreted under the context of hydrogeological feature of the study area.Abstract i
Contents iv
List of Figures vii
List of Tables xiii
Chapter 1 Introduction 1
Chapter 2 Model-integrated regression analysis of groundwater contamination at an agricultural region 6
2.1 Introduction 8
2.2 Methods 11
2.2.1 Delineating probabilistic capture zone 14
2.2.2 Tobit regression 18
2.2.3 Model-integrated regression analysis 20
2.2.3.1 Site Description 20
2.2.3.2 Application 24
2.3 Results & Discussion 35
2.4 Conclusion 41
Chapter 3 Analysis of leachate transport at a livestock burial site using a model validated with geophysical data 44
3.1 Introduction 46
3.2 Site Description 48
3.3 Methods 53
3.3.1 Electrical resistivity survey 53
3.3.2 Simulation of leachate transport 56
3.3.3 Image similarity metric 62
3.4 Results and Discussion 63
3.4.1 Electrical resistivity near the burial pits 63
3.4.2 Leachate transport from the burial 71
3.4.3 Image similarity: IMED 75
3.5 Conclusion 79
Chapter 4 Hydrogeochemical analysis of salinity in groundwater in a coastal environment 81
4.1 Introduction 83
4.2 Site description 86
4.3 Methods 90
4.3.1 Sampling and analysis 90
4.3.2 Data analysis 94
4.4 Results 96
4.4.1 Na+, Cl- and EC 96
4.4.2 Cl-/Br- ratio 102
4.4.3 Principal component analysis 105
4.4.4 Stable isotope analysis 110
4.4.5 Cl--Br- and Cl--Ξ΄18O ratio 112
4.5 Discussion 114
4.5.1 Chances of seawater intrusion 114
4.5.2 Origin of the salinity 115
4.5.3 Extent of seawater mixing 117
4.6 Conclusion 120
Concluding Remarks 121
References 123
Abstract (Korea) 136Docto