심층처분시스템 설계를 위한 경수로 사용후핵연료 현황 분석 (Investigation of PWR Spent Fuels for the Design of a Deep Geological Repository)
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- 방사성폐기물학회지
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- 제17권3호
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- pp.339-346
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- 2019
제8차 전력수급기본계획에 근거하여 현재 운영중이거나 계획중인 원자력발전소에서 발생할 사용후핵연료의 양과 특성을 추정하였다. 본 연구에서 고려된 특성은 핵연료집합체에 대한 제원, 핵연료봉 배열,
얼록동사리(Odontobutis interrupta)의 생태적 특징을 연구하기 위해 2021년 1월부터 2021년 12월까지 금당천에서 조사를 실시하였다. 본 종의 서식지 하상구조는 모래(sand)와 진흙(mud)이 풍부하였다. 수심은 평균 48(21~124)cm로 다소 깊었으며, 유속이 0.24(0.08~0.36)m/sec로 느렸다. 암수 성비는 1 : 0.98 이었고, 채집된 개체의 전장 범위는 23mm에서 162mm 이었다. 전장빈도분포도에 따른 연령은 5월 기준 전장이 23~59mm는 만 1년생, 60~99mm는 만 2년생, 100~139mm는 만 3년생, 140~162mm는 만 4년생 이상으로 추정되었다. 2차성징으로 생식적 유두(genital papilla)는 암컷의 경우 원통형 모양으로 끝의 안쪽이 비어 있으며 직경이 수컷에 비해 컷으며 수컷은 끝이 뾰족하여 원뿔 모양이었다. 성적성숙이 이루어진 수컷은 혼인색으로 복부와 몸통 전체가 검은색을 띄었다. 암컷의 경우 60~69mm에 해당하는 일부 개체만 성적성숙을 하였고 70mm 이상이면 모두 성적성숙을 하였다. 수컷은 70~79mm에 해당하는 개체 중 일부만 성적성숙을 하였고 80mm 이상에서 모두 성적성숙이 이루어졌다. 산란시기는 5월부터 시작되어 7월에 끝났으며(수온 19.6~29℃) 산란 성기는 6월로 추정되었다(수온 26℃). 포란수는 평균 2,473(883~4,955)개 이었고 성숙란은 짙은 노란색 구형으로 직경이 1.42(1.20~0.54)mm 이었다. 전장-체중과의 상관관계식은 BW=0.0000006TL3.21로 상수 a는 0.0000006를, 매개변수 b는 3.21 이었다. 비만도 지수는 평균 K=1.67(1.18~2.43) 이었고 기울기(Slope)는 0.116로 양의 값을 나타내었다.
동사리(Odontobutis platycephala)의 생태적 특징을 연구하기 위해 2022년 1월부터 2022년 12월까지 자호천에서 조사를 실시하였다. 본 종의 서식지 하상구조는 작은돌(cobble)과 조약돌(pebble)이 풍부하였다. 수심은 평균 64(22~153)cm로 깊었으며, 유속이 0.89(0.42~1.46)m/sec로 빨랐다. 암수 성비는 1 : 1.02 이었고, 채집된 개체의 전장범위는 38mm에서 156mm 이었다. 전장빈도분포도에 따른 연령은 5월 기준 전장이 38~69mm는 만 1년생, 70~99mm는 만 2년생, 100~139mm는 만 3년생, 140~156mm는 만 4년생 이상으로 추정되었다. 2차성징으로 생식적 유두(genital papilla)는 암컷의 경우 원통형 모양이며 수컷은 끝이 뾰족하여 원뿔 모양이었다. 암컷의 경우 60~69mm에서 일부 개체만 성적성숙을 하였고 70mm 이상이면 모두 성적성숙을 하였다. 수컷은 70~79mm에 해당하는 개체 중 일부만 성적성숙을 하였고 80mm 이상에서 모두 성적성숙이 이루어졌다. 산란시기는 5월부터 시작되어 7월에 끝났으며(수온 17~28℃) 산란 성기는 6월로 추정되었다(수온 24℃). 포란수는 평균 988(284~2,722)개 이었고 성숙란은 짙은 노란색 구형으로 직경이 1.46(1.19~1.71)mm 이었다. 전장-체중과의 상관관계식은 BW=0.00000006TL3.12로 상수 a는 0.00000006를, 매개변수 b는 3.12 이었다. 비만도 지수는 평균 K=1.44(0.96~2.26) 이었고 기울기(Slope)는 -0.0007로 음의 값을 나타내었다.
본 연구는 잇꽃(Carthamus tinctorius) 4자원(재래종, IT323225, IT333473, IT333482)의 유효적산온도를 기반으로 개화 소요일수 추정과 파종시기에 따른 생육 및 수량 특성을 비교하고자 수행되었다. 잇꽃 4자원은 3월 29일, 5월 3일, 5월 13일, 5월 24일, 6월 2일에 각기 파종하였으며, 생육기간 동안 기상정보수집과 생육단계 및 수량 특성을 조사하였다. 파종시기별 잇꽃 4자원의 평균 개화 소요일수는 재래종(61.0일)이 가장 짧았고, IT333482 (73.2일), IT323225 (74.0일), IT333473 (74.2일) 순이었다. 평균온도를 근거로 산출한 잇꽃 4자원의 기준온도와 유효적산온도는 각각 재래종 6℃, 579℃, IT323225 11℃, 766℃, IT333473 11℃, 768℃, IT333482 10℃, 750℃이었다. 산출한 유효적산온도와 최근 5년간(2019-2023년)의 일평균기온을 이용하여 재배지대(평야지, 중산간지, 산간지)와 파종시기(4월 1일부터 8월 15일까지 15일 간격, 10수준)별로 적용한 결과, 잇꽃 4자원은 모두 7월 15일 파종까지 개화 소요일수가 감소한 후 증가하는 경향을 보였고, 지대별 소요일수는 평야지 < 중산간지 < 산간지의 순으로 조사되었다. 수량 특성 중 초장, 분지 수, 주당 화기 수, 화기당 종자 수, 백립중, 주당 종자량은 4자원 모두 파종시기가 늦어질수록 감소하였다.
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
In view of its prevalence in the Far East area, a more detailed knowledge on the hookworm infection is one of the very important medical problems. The present study was aimed to; determine the infectivity of the artificially hatched ancylostoma duodenale larvae in man after its oral administration, evaluate the clinical symptomatology of such infection, determine the date of first appearance of the ova in the stool, calculate the blood loss per worm per day, assess the relation-ships between the ova count, infectivity(worm load), blood loss and severity of anemia. An erythrokinetic study was also done to analyse the characteristics of hookworm anemia by means of
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.