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균열암반에서의 양수시험자료 해석과 일반 방사상 유동모델의 적용성 연구
성현정(Hyeonjeong Seong),김용제(Yongje Kim),이철우(Chul-Woo Lee),김구영(Kue-Young Kim),우남칠(Nam-Chil Woo) 대한자원환경지질학회 2005 자원환경지질 Vol.38 No.2
이 연구는 양수시험 해석해(Theis, 1935; Cooper-Jacob, 1946; Papadopulos-Cooper, 1967; Hantush, 1962a,b; Moench, 1985; Hantush-Jacob, 1955) 및 일반 방사상 유동 모델을 이용하여 우리나라의 균열암반 대수층(화강암, 화산암, 변성암, 백악기퇴적암, 제3기 퇴적암에 굴착된 100 개 조사공)에서 수행되어진 양수시험으로부터 얻은 122 개의 양수시험자료(수위강하 자료)를 분석하여 종합한 것이다. AQTESOLV 전산프로그램을 이용한 양수시험자료 분석에 의하면, 122 개 자료중 86 개(71%)의 자료들이 이 연구에 사용된 해석해와 일치하며, 양수시험자료 해석해 중에 누수 (leaky) 및 경계조건(boundary condition) 을 고려한 해석해들이 53 개(43%)로 가장 많이 나타났다. 따라서, 양수시험자 료의 해석은 균열암반 대수층의 수리지질학적 특성에 적합한 개념모델의 설정이 중요하다. 일반 방사상 유동(GRF)모 델을 적용해보면, 122 개의 자료 중 77 개(63%)의 자료들이 Barker(1988) 의 표준곡선에 의한 차원(1.1차원-2.9차원)을 보여준다. 이중 44.2% 에 해당하는 39 개 자료가 1.1 차원과 1.9 차원 사이의 실수 유동차원을 보여주는 반면에 26 개 (6.5%) 만이 Theis 이론에 맞는 2 차원의 방사상 흐름을 보여주며, 38 개(49.3%)는 2.1 차원에서 2.9 차원에 속한다. 따라서 우리나라 균열암반 대수층에서 지하수 유동은 대부분 실수차원의 유동을 보여주는 것으로 평가된다. Data from 122 pumping tests were obtained from 100 boreholes in granites, volcanic rocks, metamorphic rocks, and Cretaceous and Tertiary sedimentary rocks, and then were analyzed using AQTESOLV. Results from 86 of the 122 tests (71%) have an analytical solution corresponding to Theis (1935), Cooper-Jacob (1946), Papadopulos-Cooper (1967), Hantush (1962), Moench (1985), or Hantush-Jacob (1955), whereas the remaining 36 results (29.5%) do not correspond to any of the analytical methods. Of the 86 results, only 17 match the Theis and Cooper-Jacob methods, indicating that the basic methods for pumping test analysis are useful for only 14% of the total data. This suggests that analytical solutions derived using leaky boundary conditions are appropriate for the analysis of pumping test data in fractured aquifers in this study. Furthermore, the results show the importance of carefully selecting an appropriate model for the analysis of pumping test data. Results from the 122 pumping tests were also analyzed using the GRF model. Using the Barker method, the results show that 77 of the 122 tests (63%) have dimensions ranging between 1.1-2.9. Of these 77 solutions, 39(44.2%) have a fractional dimension of 1.1-1.9, 26(6.5%) show 2-dimensional radial flow also applicable to the Theis method, and 38(49.3%) have dimensions of 2.1-2.9. The results show that groundwater flows according to a fractional flow dimension in fractured aquifers.
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이상훈 대한원격탐사학회 2008 大韓遠隔探査學會誌 Vol.24 No.1
Irregular temporal sampling is a common feature of geophysical and biological time series in remote sensing. This study proposes an on-line system for reconstructing observation image series contaminated by noises resulted from mechanical problems or sensing environmental condition. There is also a high likelihood that during the data acquisition periods the target site corresponding to any given pixel may be covered by fog or cloud, thereby resulting in bad or missing observation.The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. A feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. The experimental results of this simulation study show the potentiality of the proposed system to reconstruct the image series observed by imperfect sensing technology from the environment which are frequently influenced by bad weather. This study provides fundamental information on the elements of the proposed system for right usage in application.
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Lee, Sang-Hoon The Korean Society of Remote Sensing 2008 大韓遠隔探査學會誌 Vol.24 No.1
Irregular temporal sampling is a common feature of geophysical and biological time series in remote sensing. This study proposes an on-line system for reconstructing observation image series contaminated by noises resulted from mechanical problems or sensing environmental condition. There is also a high likelihood that during the data acquisition periods the target site corresponding to any given pixel may be covered by fog or cloud, thereby resulting in bad or missing observation. The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. A feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. The experimental results of this simulation study show the potentiality of the proposed system to reconstruct the image series observed by imperfect sensing technology from the environment which are frequently influenced by bad weather. This study provides fundamental information on the elements of the proposed system for right usage in application.
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Sang Hoon Lee 大韓遠隔探査學會 2008 大韓遠隔探査學會誌 Vol.24 No.1
Irregular temporal sampling is a common feature of geophysical and biological time series in remote sensing. This study proposes an on-line system for reconstructing observation image series contaminated by noises resulted from mechanical problems or sensing environmental condition. There is also a high likelihood that during the data acquisition periods the target site corresponding to any given pixel may be covered by fog or cloud, thereby resulting in bad or missing observation. The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. A feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. The experimental results of this simulation study show the potentiality of the proposed system to reconstruct the image series observed by imperfect sensing technology from the environment which are frequently influenced by bad weather. This study provides fundamental information on the elements of the proposed system for right usage in application.
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