한국 서남해안 두우리 조간대에서 표층 퇴적물 및 퇴적구조의 특성과 계절변화 (Depositional Characteristics and Seasonal Change of Surface Sediment and Sedimentary Strucutre on the Doowoovi Tidal Flat, Southwestern Coast of Korea)
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- 한국석유지질학회지
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- 제10권1_2호
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- pp.10-17
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- 2004
한국 서남해안에 위치한 두우리 조간대는 사주와 보호섬이 존재하지 않고 외해로 열려있는 전형적인 개방형 조간대이다. 이러한 개방형 조간대에서는 바람에 의한 파랑이 퇴적작용에 중요한 요소의 하나이므로, 계절에 따른 파랑에너지의 차이가 조간대 표층퇴적물의 분포와 퇴적구조의 특성에 직접적으로 반영된다. 두우리 조간대는 상부의 조수해빈 (tidal beach), 중부의 전형적인 조간대 (intertidal flat)와 최하부의 니질대 (lowermost mudflat)로 구분된다. 이러한 구분은 표층퇴적물의 구성뿐만 아니라 조간대의 경사도에 의한 구분과도 일치한다. 조간대 내에서의 퇴적물은 1차 퇴적구조와 사서질 퇴적물의 함량에 따라 다시 사질 조간대, 혼합 조간대와 니질조간대로 나누어진다. 두우리 조간대의 표층퇴적상은 계절에 따라서 퇴적물의 함량과 퇴적구조에 변화를 보이며, 퇴적상의 변화양상은 계절풍의 방향과 세기, 폭풍과 밀접한 관련이 있다. 북서계절풍이 강한 겨울철과 봄철에는 사질 조간대의 퇴적상이 우세하며, 약한 남동풍이 우세한 여름철에는 니질 조간대의 퇴적상이 우세하게 분포한다. 가을철에는 혼합 조간대가 우세하게 나타난다. 표층퇴적물은 여름에는 전 조간대가 약 20 cm 두께의 니질 퇴적물로 뒤덮이고 가을이 지나 겨울로 가면서 니질 퇴적상에서 사질 퇴적상으로 바뀐다. 이러한 표층퇴적상의 변화는 바람도 세어지고 풍향도 바뀌어 조간대를 공격하는 파랑의 에너지가 강해지면서 여름철에 퇴적되었던 니질 퇴적물을 침식시키기 때문이다. 캔코아 주상시료에서 퇴적구조는 여름철에는 조간대 상부 (
이수가압식 쉴드공법은 이수압을 적정 수준으로 관리하면 특히 사질토에서 적용성이 우수하지만, 이수압이 낮으면 이수 유출 및 지반변형이 발생하기도 한다. 따라서 이수가압식 쉴드공법에서는 초기 막장압보다 큰 초과 이수압을 가하여 막장의 안정을 유지한다. 그러나 이수압이 너무 높으면 전방 지반의 수동 파괴를 유발하므로 전방 지반의 수동 파괴 위험성을 배제하고 이수압을 증가시키는 방법으로 막장 전방에 수평 차수층을 설치하는 방안이 있으나 그 위치와 규모 및 효과가 잘 알려져 있지 않다. 따라서 본 연구에서는 포화된 사질토에서 막장 전방에 차수 그라우팅을 적용할 경우에 발생하는 효과를 규명하기 위하여 모형실험을 수행하였다. 실험에서는 차수층의 위치와 길이를 변화시거면서 이수의 유출이나 지반 파괴 이전까지 이수압을 가하여 최대 이수압과 지반 변위 및 이수의 유출로 인한 파괴 형상을 측정하여 분석하였다. 실험 결과, 전방 차수층이 없는 경우에 최대 이수압과 초과 이수압은 토피고에 선형비례 하였으며, 차수층이 존재하는 경우에는 차수층이 없는 경우보다 이수압을 크게 가할 수 있어서 전방 차수층이 막장 안정성을 증대시킬 수 있다는 것을 확인할 수 있었다. 막장 안정성 증대에 가장 큰 영향을 주는 적정 차수층의 규격은 길이 1.0 ~ 1.5D, 설치높이 1.0D로 나타났다. 초기 막장압 대비 최대 이수압의 비로 막장의 자립 안전율(F)을 제안할 수 있으며, 전방 차수층을 적정 위치에 설치할 경우 초기 막장압보다 3.5~4.0배 크게 이수압을 가할 수 있는 것으로 나타났다.
The objective of this research is to test the feasibility of developing a statewide truck traffic forecasting methodology for Wisconsin by using Origin-Destination surveys, traffic counts, classification counts, and other data that are routinely collected by the Wisconsin Department of Transportation (WisDOT). Development of a feasible model will permit estimation of future truck traffic for every major link in the network. This will provide the basis for improved estimation of future pavement deterioration. Pavement damage rises exponentially as axle weight increases, and trucks are responsible for most of the traffic-induced damage to pavement. Consequently, forecasts of truck traffic are critical to pavement management systems. The pavement Management Decision Supporting System (PMDSS) prepared by WisDOT in May 1990 combines pavement inventory and performance data with a knowledge base consisting of rules for evaluation, problem identification and rehabilitation recommendation. Without a r.easonable truck traffic forecasting methodology, PMDSS is not able to project pavement performance trends in order to make assessment and recommendations in the future years. However, none of WisDOT's existing forecasting methodologies has been designed specifically for predicting truck movements on a statewide highway network. For this research, the Origin-Destination survey data avaiiable from WisDOT, including two stateline areas, one county, and five cities, are analyzed and the zone-to'||'&'||'not;zone truck trip tables are developed. The resulting Origin-Destination Trip Length Frequency (00 TLF) distributions by trip type are applied to the Gravity Model (GM) for comparison with comparable TLFs from the GM. The gravity model is calibrated to obtain friction factor curves for the three trip types, Internal-Internal (I-I), Internal-External (I-E), and External-External (E-E). ~oth "macro-scale" calibration and "micro-scale" calibration are performed. The comparison of the statewide GM TLF with the 00 TLF for the macro-scale calibration does not provide suitable results because the available 00 survey data do not represent an unbiased sample of statewide truck trips. For the "micro-scale" calibration, "partial" GM trip tables that correspond to the 00 survey trip tables are extracted from the full statewide GM trip table. These "partial" GM trip tables are then merged and a partial GM TLF is created. The GM friction factor curves are adjusted until the partial GM TLF matches the 00 TLF. Three friction factor curves, one for each trip type, resulting from the micro-scale calibration produce a reasonable GM truck trip model. A key methodological issue for GM. calibration involves the use of multiple friction factor curves versus a single friction factor curve for each trip type in order to estimate truck trips with reasonable accuracy. A single friction factor curve for each of the three trip types was found to reproduce the 00 TLFs from the calibration data base. Given the very limited trip generation data available for this research, additional refinement of the gravity model using multiple mction factor curves for each trip type was not warranted. In the traditional urban transportation planning studies, the zonal trip productions and attractions and region-wide OD TLFs are available. However, for this research, the information available for the development .of the GM model is limited to Ground Counts (GC) and a limited set ofOD TLFs. The GM is calibrated using the limited OD data, but the OD data are not adequate to obtain good estimates of truck trip productions and attractions .. Consequently, zonal productions and attractions are estimated using zonal population as a first approximation. Then, Selected Link based (SELINK) analyses are used to adjust the productions and attractions and possibly recalibrate the GM. The SELINK adjustment process involves identifying the origins and destinations of all truck trips that are assigned to a specified "selected link" as the result of a standard traffic assignment. A link adjustment factor is computed as the ratio of the actual volume for the link (ground count) to the total assigned volume. This link adjustment factor is then applied to all of the origin and destination zones of the trips using that "selected link". Selected link based analyses are conducted by using both 16 selected links and 32 selected links. The result of SELINK analysis by u~ing 32 selected links provides the least %RMSE in the screenline volume analysis. In addition, the stability of the GM truck estimating model is preserved by using 32 selected links with three SELINK adjustments, that is, the GM remains calibrated despite substantial changes in the input productions and attractions. The coverage of zones provided by 32 selected links is satisfactory. Increasing the number of repetitions beyond four is not reasonable because the stability of GM model in reproducing the OD TLF reaches its limits. The total volume of truck traffic captured by 32 selected links is 107% of total trip productions. But more importantly, ~ELINK adjustment factors for all of the zones can be computed. Evaluation of the travel demand model resulting from the SELINK adjustments is conducted by using screenline volume analysis, functional class and route specific volume analysis, area specific volume analysis, production and attraction analysis, and Vehicle Miles of Travel (VMT) analysis. Screenline volume analysis by using four screenlines with 28 check points are used for evaluation of the adequacy of the overall model. The total trucks crossing the screenlines are compared to the ground count totals. L V/GC ratios of 0.958 by using 32 selected links and 1.001 by using 16 selected links are obtained. The %RM:SE for the four screenlines is inversely proportional to the average ground count totals by screenline .. The magnitude of %RM:SE for the four screenlines resulting from the fourth and last GM run by using 32 and 16 selected links is 22% and 31 % respectively. These results are similar to the overall %RMSE achieved for the 32 and 16 selected links themselves of 19% and 33% respectively. This implies that the SELINICanalysis results are reasonable for all sections of the state.Functional class and route specific volume analysis is possible by using the available 154 classification count check points. The truck traffic crossing the Interstate highways (ISH) with 37 check points, the US highways (USH) with 50 check points, and the State highways (STH) with 67 check points is compared to the actual ground count totals. The magnitude of the overall link volume to ground count ratio by route does not provide any specific pattern of over or underestimate. However, the %R11SE for the ISH shows the least value while that for the STH shows the largest value. This pattern is consistent with the screenline analysis and the overall relationship between %RMSE and ground count volume groups. Area specific volume analysis provides another broad statewide measure of the performance of the overall model. The truck traffic in the North area with 26 check points, the West area with 36 check points, the East area with 29 check points, and the South area with 64 check points are compared to the actual ground count totals. The four areas show similar results. No specific patterns in the L V/GC ratio by area are found. In addition, the %RMSE is computed for each of the four areas. The %RMSEs for the North, West, East, and South areas are 92%, 49%, 27%, and 35% respectively, whereas, the average ground counts are 481, 1383, 1532, and 3154 respectively. As for the screenline and volume range analyses, the %RMSE is inversely related to average link volume. 'The SELINK adjustments of productions and attractions resulted in a very substantial reduction in the total in-state zonal productions and attractions. The initial in-state zonal trip generation model can now be revised with a new trip production's trip rate (total adjusted productions/total population) and a new trip attraction's trip rate. Revised zonal production and attraction adjustment factors can then be developed that only reflect the impact of the SELINK adjustments that cause mcreases or , decreases from the revised zonal estimate of productions and attractions. Analysis of the revised production adjustment factors is conducted by plotting the factors on the state map. The east area of the state including the counties of Brown, Outagamie, Shawano, Wmnebago, Fond du Lac, Marathon shows comparatively large values of the revised adjustment factors. Overall, both small and large values of the revised adjustment factors are scattered around Wisconsin. This suggests that more independent variables beyond just 226; population are needed for the development of the heavy truck trip generation model. More independent variables including zonal employment data (office employees and manufacturing employees) by industry type, zonal private trucks 226; owned and zonal income data which are not available currently should be considered. A plot of frequency distribution of the in-state zones as a function of the revised production and attraction adjustment factors shows the overall " adjustment resulting from the SELINK analysis process. Overall, the revised SELINK adjustments show that the productions for many zones are reduced by, a factor of 0.5 to 0.8 while the productions for ~ relatively few zones are increased by factors from 1.1 to 4 with most of the factors in the 3.0 range. No obvious explanation for the frequency distribution could be found. The revised SELINK adjustments overall appear to be reasonable. The heavy truck VMT analysis is conducted by comparing the 1990 heavy truck VMT that is forecasted by the GM truck forecasting model, 2.975 billions, with the WisDOT computed data. This gives an estimate that is 18.3% less than the WisDOT computation of 3.642 billions of VMT. The WisDOT estimates are based on the sampling the link volumes for USH, 8TH, and CTH. This implies potential error in sampling the average link volume. The WisDOT estimate of heavy truck VMT cannot be tabulated by the three trip types, I-I, I-E ('||'&'||'pound;-I), and E-E. In contrast, the GM forecasting model shows that the proportion ofE-E VMT out of total VMT is 21.24%. In addition, tabulation of heavy truck VMT by route functional class shows that the proportion of truck traffic traversing the freeways and expressways is 76.5%. Only 14.1% of total freeway truck traffic is I-I trips, while 80% of total collector truck traffic is I-I trips. This implies that freeways are traversed mainly by I-E and E-E truck traffic while collectors are used mainly by I-I truck traffic. Other tabulations such as average heavy truck speed by trip type, average travel distance by trip type and the VMT distribution by trip type, route functional class and travel speed are useful information for highway planners to understand the characteristics of statewide heavy truck trip patternS. Heavy truck volumes for the target year 2010 are forecasted by using the GM truck forecasting model. Four scenarios are used. Fo~ better forecasting, ground count- based segment adjustment factors are developed and applied. ISH 90 '||'&'||' 94 and USH 41 are used as example routes. The forecasting results by using the ground count-based segment adjustment factors are satisfactory for long range planning purposes, but additional ground counts would be useful for USH 41. Sensitivity analysis provides estimates of the impacts of the alternative growth rates including information about changes in the trip types using key routes. The network'||'&'||'not;based GMcan easily model scenarios with different rates of growth in rural versus . . urban areas, small versus large cities, and in-state zones versus external stations. cities, and in-state zones versus external stations.
배 경: 호흡부전의 치료에 있어 환자 체위를 prone position으로 하는 시도는 20년 전부터 보고되어 왔으며 폐산소화 및 심박출량 향상에 효과가 있다는 것이 알려져 있다. Prone position시 폐산소화의 호전은 임상 및 동물 실험에서 단락 감소에 의한 것으로 알려져 있으며 그 중요 기전은 supine position에 비해 prone position때 중력 의존부 폐의 늑막압이 더 작아 폐포 개방압이 줄어들기 때문인 바 저자 등은 prone position이 폐산소화에 미치는 효과는 supine position에서 사용한 PEEP의 폐포 고비 개방압과의 관계에 따라 달라질 것으로 추정하였다. Prone position에서의 심박출량 증가에 대하여는 양압환기시 발생하는 cardiac fossa lifting 현상이 prone position에 의해 완화될 수 있다는 주장이 제기된 바 있어 prone position이 또한 supine position에서 PEEP에 의해 초래된 심박출량 저하를 완화시킬 수 있는지를 잡종견 급성 폐손상 모델을 통해 알아보고자 하였다. 방 법 : 잡종견 7 마리 (
본 연구는 공원 수림지 경계로부터 내부로의 거리에 따른 수림지 가장자리의 온열환경에 대한 효과를 규명하고자 하였다. 이를 위해 전형적인 여름 날씨를 나타낸 2015년 7월 31일부터 8월 5일까지 6일간 소도읍에 소재하고 있는 장령림인 하동송림의 소나무 순림(수령:
수도 단간품종 육성을 위한 자료를 얻고자 Japonica 단간인 단간백망, Indica 단간인 T(N)1 그리고 Japonica
The wall shear stress in the vicinity of end-to end anastomoses under steady flow conditions was measured using a flush-mounted hot-film anemometer(FMHFA) probe. The experimental measurements were in good agreement with numerical results except in flow with low Reynolds numbers. The wall shear stress increased proximal to the anastomosis in flow from the Penrose tubing (simulating an artery) to the PTFE: graft. In flow from the PTFE graft to the Penrose tubing, low wall shear stress was observed distal to the anastomosis. Abnormal distributions of wall shear stress in the vicinity of the anastomosis, resulting from the compliance mismatch between the graft and the host artery, might be an important factor of ANFH formation and the graft failure. The present study suggests a correlation between regions of the low wall shear stress and the development of anastomotic neointimal fibrous hyperplasia(ANPH) in end-to-end anastomoses. 30523 T00401030523 ^x Air pressure decay(APD) rate and ultrafiltration rate(UFR) tests were performed on new and saline rinsed dialyzers as well as those roused in patients several times. C-DAK 4000 (Cordis Dow) and CF IS-11 (Baxter Travenol) reused dialyzers obtained from the dialysis clinic were used in the present study. The new dialyzers exhibited a relatively flat APD, whereas saline rinsed and reused dialyzers showed considerable amount of decay. C-DAH dialyzers had a larger APD(11.70
The wall shear stress in the vicinity of end-to end anastomoses under steady flow conditions was measured using a flush-mounted hot-film anemometer(FMHFA) probe. The experimental measurements were in good agreement with numerical results except in flow with low Reynolds numbers. The wall shear stress increased proximal to the anastomosis in flow from the Penrose tubing (simulating an artery) to the PTFE: graft. In flow from the PTFE graft to the Penrose tubing, low wall shear stress was observed distal to the anastomosis. Abnormal distributions of wall shear stress in the vicinity of the anastomosis, resulting from the compliance mismatch between the graft and the host artery, might be an important factor of ANFH formation and the graft failure. The present study suggests a correlation between regions of the low wall shear stress and the development of anastomotic neointimal fibrous hyperplasia(ANPH) in end-to-end anastomoses. 30523 T00401030523 ^x Air pressure decay(APD) rate and ultrafiltration rate(UFR) tests were performed on new and saline rinsed dialyzers as well as those roused in patients several times. C-DAK 4000 (Cordis Dow) and CF IS-11 (Baxter Travenol) reused dialyzers obtained from the dialysis clinic were used in the present study. The new dialyzers exhibited a relatively flat APD, whereas saline rinsed and reused dialyzers showed considerable amount of decay. C-DAH dialyzers had a larger APD(11.70