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유역 피복 특성을 고려한 유출량 산정을 위한 地形情報시스템(GIS)의 적용
김재한,정관수,이근영 忠南大學校 産業技術硏究所 1999 산업기술연구논문집 Vol.14 No.1
To compute the direct runoff basin, The SCS Curve Number can be used simply. It was evaluated by the U.S. soil conservation service and applies to U.S. watershed, In this study to apply the SCS Curve Number to domestic basin, GIS was used to evalute it. In many case, when the direct runoff from the SCS Curve Number is calculated, much unadjusted hydrologic data are demanded. But using and being adjusted of these data are very difficult. In this study, the SCS Curve Number was evaluated through making DataBase by GIS to make simple procedure. and the direct runoff was computed by it. The result of this study shows that Evaluated Curve Number Value is 60.69 in AMC-I, 78.61 in AMC-II and 89.42 im AMC-III Condition from domestic basin
A Sediment Concentration Distribution Based on a Revised Prandtl's Mixing Theory
Jung, Kwan-Sue Korea Water Resources Association 1997 Korean journal of hydrosciences Vol.8 No.-
Prandtl's mixing length theory was modified to obtain a power velocity distribution in which the coefficient and the exponent are variable over a range from : $$ A simple suspended-sediment concentration distribution was developed from the modified velocity distribytion : $ With nominal values of $\beta$=1.0, $\kappa$=0.4 and visual accumulation tube values of the fall velocity, the comparison between the theory and field measurements by the USGS on the Rio Grande is fair. Doubling the value of the exponent results in a good comparison. Further researches are needed for choosing the values of $\beta$, $\kappa$, and fall velocity values, and consideration on the effects of large-scale turbulence and secondary flows are necessary for them. In a pragmatic sense, on any gaging sites the close analysis of very detailed measurements can establish its specific coefficient and exponent.
Analysis on Failure of Slope and Landslide Dam
Regmi, Ram Krishna,Lee, Gi Ha,Jung, Kwan Sue 한국방재학회 2011 한국방재학회 학술발표대회논문집 Vol.10 No.-
A 3D seepage flow numerical simulation model was developed for seepage analysis of a landslide dam. A 3D seepage flow numerical simulation model coupled with a 2D surface flow and erosion/deposition model was developed for seepage analysis of a slope due to a rainfall event. The conventional water-phase (one-phase) seepage flow model assumes only water phase flow in seepage analysis, which is inadequate for unsaturated soil domains. Hence, a water-air two-phase seepage flow model that considers both water and air phase in the seepage flow process is also used for seepage analysis. Pore water pressure and moisture content data obtained by the seepage flow model were then used to analyze the stability of the slope. Janbu’s simplified method as well as the extended Spencer method was used for the stability analysis. Numerical simulation results and experimental measurements are satisfactorily in agreement.
Park, Sue K.,Park, Boyoung,Ki, Moran,Kim, Ho,Lee, Kwan,Jung, Cheoll,Sohn, Young Mo,Choi, Sung-Min,Kim, Doo-Kwun,Lee, Dong Seok,Ko, Joon Tae,Kim, Moon Kyu,Cheong, Hae-Kwan The Korean Academy of Medical Sciences 2010 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.25 No.5
<P>This study was conducted to evaluate the modes of transmission of aseptic meningitis (AM) and hand-foot-mouth disease (HFMD) using a case-control and a case-crossover design. We recruited 205 childhood AM and 116 HFMD cases and 170 non-enteroviral disease controls from three general hospitals in Gyeongju, Pohang, and Seoul between May and August in both 2002 and 2003. For the case-crossover design, we established the hazard and non-hazard periods as week one and week four before admission, respectively. In the case-control design, drinking water that had not been boiled, not using a water purifier, changes in water quality, and contact with AM patients were significantly associated with the risk of AM (odds ratio [OR]=2.8, 2.9, 4.6, and 10.9, respectively), while drinking water that had not been boiled, having a non-water closet toilet, changes in water quality, and contact with HFMD patients were associated with risk of HFMD (OR=3.3, 2.8, 6.9, and 5.0, respectively). In the case-crossover design, many life-style variables such as contact with AM or HFMD patients, visiting a hospital, changes in water quality, presence of a skin wound, eating out, and going shopping were significantly associated with the risk of AM (OR=18.0, 7.0, 8.0, 2.2, 22.3, and 3.0, respectively) and HFMD (OR=9.0, 37.0, 11.0, 12.0, 37.0, and 5.0, respectively). Our findings suggest that person-to-person contact and contaminated water could be the principal modes of transmission of AM and HFMD.</P>