• Title/Summary/Keyword: Hydrogeological Characteristic

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Physical and chemical analyses of ground-water by impacts of tunneling at coastal urban region in Busan (부산시 해안 인근 지역에서의 터널 굴착에 따른 지하수 거동 영향 평가)

  • Kim, Hyoung-Soo;Lee, Ju-Hyun;Ahn, Ju-Hee;Jeong, Ui-Jin;Kim, Jun-Mo;Yoon, Woon-Sang;Chung, Sang-Yong;Lee, Jin-Moo;Woo, Sang-Woo
    • Proceedings of the Korean Geotechical Society Conference
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    • 2005.03a
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    • pp.457-464
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    • 2005
  • In the case of tunneling, the equilibrium state of hydro-geologic environments destroy and change abruptly in some section of whole works. Specially, it's very possible for seawater to intrude toward the site of tunnel if the field is nearly located in a costal region. In this study, we have evaluated the mechanism related between groundwater flow and seawater intrusion that by impacts of tunneling. Various hydro-geological field tests have performed for getting four representative hydrogeologic properties of geologic formations such as transmissivity (T), storativity(S), longitudial dispersity(${\alpha}_L$), and effective porosity($n_e$). For the effect of tunneling, the numerical model was first simulated based on the governing equation of groundwater flow. The results showed that the maximum drawdown was 17.2m and the total inflow into the tunnel had the range from 0.48 to $3.63m^3/day/m$. Secondly, the three dimensional numerical model was analyzed to investigate a characteristic of seawater intrusion based on the previous simulated results of groundwater flow. The results showed the seawater moved as the range of $200{\sim}220m$ from the initial interface between seawater and groundwater toward the tunnel.

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Prediction of karst sinkhole collapse using a decision-tree (DT) classifier

  • Boo Hyun Nam;Kyungwon Park;Yong Je Kim
    • Geomechanics and Engineering
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    • v.36 no.5
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    • pp.441-453
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    • 2024
  • Sinkhole subsidence and collapse is a common geohazard often formed in karst areas such as the state of Florida, United States of America. To predict the sinkhole occurrence, we need to understand the formation mechanism of sinkhole and its karst hydrogeology. For this purpose, investigating the factors affecting sinkholes is an essential and important step. The main objectives of the presenting study are (1) the development of a machine learning (ML)-based model, namely C5.0 decision tree (C5.0 DT), for the prediction of sinkhole susceptibility, which accounts for sinkhole/subsidence inventory and sinkhole contributing factors (e.g., geological/hydrogeological) and (2) the construction of a regional-scale sinkhole susceptibility map. The study area is east central Florida (ECF) where a cover-collapse type is commonly reported. The C5.0 DT algorithm was used to account for twelve (12) identified hydrogeological factors. In this study, a total of 1,113 sinkholes in ECF were identified and the dataset was then randomly divided into 70% and 30% subsets for training and testing, respectively. The performance of the sinkhole susceptibility model was evaluated using a receiver operating characteristic (ROC) curve, particularly the area under the curve (AUC). The C5.0 model showed a high prediction accuracy of 83.52%. It is concluded that a decision tree is a promising tool and classifier for spatial prediction of karst sinkholes and subsidence in the ECF area.

Hydraulic feasibility study on the open-loop geothermal system using a pairing technology (복수정 페어링 기술을 이용한 개방형 지열 시스템의 수리적 타당성 검토)

  • Bae, Sangmu;Kim, Hongkyo;Kim, Hyeon-woo;Nam, Yujin
    • KIEAE Journal
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    • v.17 no.3
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    • pp.119-124
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    • 2017
  • Purpose: Groundwater heat pump (GWHP) system has high coefficient of performance than conventional air-source heat pump system and closed-loop type geothermal system. However, there is problem in long-term operation that groundwater raise at the diffusion well and reduced at the supply well. Therefore, it is necessary to accurately predict the groundwater flow, groundwater movement and control the groundwater level in the wells. In this research, in consideration of hydrogeological characteristic, groundwater level and groundwater movement were conducted analysis in order to develop the optimal design method of the two-well system using the pairing pipe. Method: For the optimum design of the two-well system, this research focused on the design method of the pairing pipe in the simulation model. Especially, in order to control the groundwater level in wells, pairing pipe between the supply well and diffusion well was developed and the groundwater level during the system operation was analyzed by the numerical simulation. Result: As the result of simulation, the groundwater level increased to -2.65m even in the condition of low hydraulic conductivity and high pumping flow rate. Consequently, it was found that the developed system can be operated stably.

Groundwater Flow Modeling and Suggestion for Pumping Rate Restriction around K-1 Oil Stockpiling Base with Geological Consideration (지질조건을 고려한 K-1 비축기지 주변의 지하수 모델링과 양수량 제한구역 제안)

  • Moon, Sang-Ho;Kim, Kue-Young;Ha, Kyoo-Chul;Kim, Young-Seog;Won, Chong-Ho;Lee, Jin-Yong
    • The Journal of Engineering Geology
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    • v.20 no.2
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    • pp.169-181
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    • 2010
  • This study aimed at simulating several responses to stresses caused by the ground water level variations around the K-1 oil stockpile. For this simulation, we considered the characteristic hydrogeological condition including the special occurrence of long and thick acidic dyke, which is regarded as the main geological structure dominating the ground water flow system at this study area. We activated twenty-four imaginary wells which are located in northern and southern area around central K-1 site. Each neighboring distance is altogether 300 m and whole distance between K-1 site and remote wells is 1,200 m. Through the modeling, we operated the long-term and continuous pumping tests and finally categorized five zones based on maximum pumping rates for the imaginary wells; zone I within 300 meter distance from K-1 site with a pumping rate of 50 $m^3/day$; zone II between 300 to 600 meter distance from K-1 site with a pumping rate of 75 $m^3/day$; zone III between 600 to 900 meter distance from K-1 site with 150 $m^3/day$; zone IV between 900 to 1,200 meter distance from K-1 site with 300 $m^3/day$; and zone V of acidic dyke area. At zone V, especially because of their possibility of high transmissivity for groundwater flow, it is necessary to control and restrict groundwater discharge.

Development of the GIS Based Pre- and Post-Processing Tool for the Visual MODFLOW Groundwater Flow Modeling (Visual MODFLOW 지하수 유동 모델링을 위한 GIS 기반 전ㆍ후처리기 개발)

  • Kim, Man-Kyu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.2
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    • pp.65-79
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    • 2003
  • In this study GIS based pre- and post-processing tool for the Visual MODFLOW that is specific software to model groundwater flow is developed. This tool not only makes input data scientifically but also manages input and output data in terms of the groundwater flow analysis. In addition it can storage project products systematically into Oracle database. The most characteristic figure of this processing tool is to provide the module, which automatically or semi automatically develops various grid cell sizes using GIS ArcView and also produces DXF files reflecting various boundary conditions in the modeling zone. In particular, eminences of this research are to create 3 dimensional hydrogeological structures with 2 dimensional GIS ArcView and to conduct pre- and post- processing along with same topology and data format of the MODFLOW.

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Analysis on Statistical Relationship between Groundwater Quality and Geology (지하수 수질과 지질의 통계학적 상관성 분석)

  • Kim, Jong-Tae;Park, Sang-Joo;Kang, Mee-A;Choo, Chang-Oh;Jeong, Gyo-Cheol
    • The Journal of Engineering Geology
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    • v.17 no.3
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    • pp.445-453
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    • 2007
  • The purposes of this study lie on understanding characteristic water-rock interaction mechanisms of groundwater in the Geochang, Hapcheon, and Changryeong areas and establishing correlation between geological factors and groundwater chemistry by statistical tools. Based on the statistical results from the relationship between rock types and groundwater chemistry, fluorine is correlated with Fe and Al in the diorite area, whereas it is correlated with Cl and $NO_3-N$ in the andesite area. Hardness, total solids, and $SO_4$ show that they are closely related to each other in all rock types, especially with highest relationship in sedimentary rocks. Although it is generally acknowledged that TDS increases with depths of aquifer due to the long term water-rock interaction, no remarkable relationship between well depth and water chemistry is found in this study. It appears that hydrogeological system in the study area may be complex or the path of water-rock interaction is inconsistent with well depth.