지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한기계학회 Journal of Mechanical Science and Technology Journal of Mechanical Science and Technology Vol.19 No.8
- 발행연도
- 2005.8
- 수록면
- 1,582 - 1,596 (15page)
이용수
초록· 키워드
오류제보하기
Groundwater flow and behavior have to be investigated based on heterogeneous subsurface formation since the homogeneity assumption of this formation is not valid. Over the past twenty years, stochastic approach and Monte Carlo technique have been utilized very efficiently to understand the groundwater flow behavior. However, these technique require lots of computational and numerical efforts according to the various researchers' comments. Therefore, utilizing new techniques with much less computational efforts such as Artificial Neural Network (ANN) in the prediction of the stochastic behavior for the groundwater based on heterogeneous subsurface formation is highly appreciated. The current paper introduces the ANN technique to investigate and predict the stochastic behavior of a well draw down in a confined aquifer based on subsurface heterogeneous hydraulic conductivity. Several ANN models are developed in this research to prediet the unsteady two dimensional well draw down and its stochastic characteristics in a confined aquifer. The results of this study showed that ANN method with less computational efforts was very efficiently capable of simulating and predicting the stochastic behavior of the well draw down resulted from the continuous constant pumping in the middle of a confined aquifer with subsurface heterogeneous hydraulic conductivity.
목차
Abstract
1. Introduction
2. Problem Description
3. Neural Network Structure
4. Neural Network Operation
5. Neural Network Training
6. Simulation Cases
7. Neural Network Design
8. Results and Discussion
9. Summary and Conclusion
References
참고문헌 (20)
참고문헌 신청
Abdeen, M. A. M., 2001, "Neural Network Model for Predicting Flow Characteristics in Irregular Open Channels," Scientific Journal. Faculty of Engineering-Alexandria University, Vol.40, No.4, pp.539~546.
Abdin, A. E. and Abdeen, M. A. M., 1999, "Effect of Subsurface Heterogeneity on the Unsteady Well Draw Down in a Confined Aquifer," ASCE Conference, Washington-USA.
Chan, T. P. and Govindaraju, R. S., 2003 "A New Model for Soil Hydraulic Properties Based on a Stochastic Conceptualization of Porous Media," Water Resour, Res, Vol.39, No.7.
Chandramouli, V. and Raman, H., 2001, "Multireservoir Modeling With Dynamic Programming and Neural Networks," Journal of Water Resources Planning and Management, Vol.127, pp.89~98.
Chang, C. M., Kemblowski, Mw. W., Kaluarachchi, J. J. and Abdin, A. E., 1995a, Stochastic Analysis of two-phase Flow in Porous media: I. Spectral/Perturbation Approach, Transport in Porous Media, 19: pp.233~259.
Abdin, A. E. and Abdeen, M. A. M., 1999, "Effect of Subsurface Heterogeneity on the Unsteady Well Draw Down in a Confined Aquifer," ASCE Conference, Washington-USA.
Chan, T. P. and Govindaraju, R. S., 2003 "A New Model for Soil Hydraulic Properties Based on a Stochastic Conceptualization of Porous Media," Water Resour, Res, Vol.39, No.7.
Chandramouli, V. and Raman, H., 2001, "Multireservoir Modeling With Dynamic Programming and Neural Networks," Journal of Water Resources Planning and Management, Vol.127, pp.89~98.
Chang, C. M., Kemblowski, Mw. W., Kaluarachchi, J. J. and Abdin, A. E., 1995a, Stochastic Analysis of two-phase Flow in Porous media: I. Spectral/Perturbation Approach, Transport in Porous Media, 19: pp.233~259.
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UCI(KEPA) : I410-ECN-0101-2009-550-017850315