• 한국도로학회논문집
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• 제13권2호
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• pp.133-138
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• 2011

본 연구의 목적은 도로배수 취약구간에 대한 수리 수문 설계 인자들을 비교 및 검토하여 수리 수문학 측면의 도로 노면배수 취약구간 발생 원인을 규명하는 것이다. 본 연구를 통하여 대부분 노면배수시설의 설계홍수량 산정에 사용하는 합리식의 주요 변수인 강우 강도를 도로의 노면배수유역 특성에 적합하게 산정하기 위해서는 분단위 강우강도식을 사용하여 10분 이하 강우지속시간을 고려해야 하고, 검토가 부족했던 노면 수로에 대하여 실제 자연현상을 적절하게 반영할 수 있는 부등류 흐름 수리해석 방법을 적용해야 하며, 도로 노면 강우의 즉시 배제가 목적인 쌓기부 도수로, 깎기부 집수정, 중분대 집수정 등의 설치간격 결정에는 현재 설계 실무에서 사용 중인 경험공식보다 노면 수리해석 기법을 활용하여 설치간격을 계산하는 것이 합리적이라고 판단되었다.

• 환경위생공학
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• 제24권4호
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• pp.1-26
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• 2009

We conclude the following with air pollution data measured from city measurement net administered and managed in Gwangju for the last 7 years from January in 2001 to December in 2007. In addition, some major statistics governed by Gwangju city and data administered by Gwangju as national official statistics obtained by estimating the amount of national air pollutant emission from National Institute of Environmental Research were used. The results are as follows ; 1. The distribution by main managements of air emission factory is the following ; Gwangju City Hall(67.8%) > Gwangsan District Office(13.6%) > Buk District Office(9.8%) > Seo District Office(5.5%) > Nam District Office(3.0%) > Dong District Office(0.3%) and the distribution by districts of air emission factory ; Buk District(32.8%) > Gwangsan District(22.4%) > Seo District(21.8%) > Nam District(14.9%) > Dong District(8.1%). That by types(Year 2004~2007 average) is also following ; Type 5(45.2%) > Type 4(40.7%) > Type 3(8.6%) > Type 2(3.2%) > Type 1(2.2%) and the most of them are small size of factory, Type 4 and 5. 2. The distribution by districts of the number of car registrations is the following ; Buk District(32.8%) > Gwangsan District(22.4%) > Seo District(21.8%) > Nam District(14.9%) > Dong District(8.1%) and the distribution by use of car fuel in 2001 ; Gasoline(56.3%) > Diesel(30.3%) > LPG(13.4%) > etc.(0.2%). In 2007, there was no ranking change ; Gasoline(47.8%) > Diesel(35.6%) > LPG(16.2%) >etc.(0.4%). The number of gasoline cars increased slightly, but that of diesel and LPG cars increased remarkably. 3. The distribution by items of the amount of air pollutant emission in Gwangju is the following; CO(36.7%) > NOx(32.7%) > VOC(26.7%) > SOx(2.3%) > PM-10(1.5%). The amount of CO and NOx, which are generally generated from cars, is very large percentage among them. 4. The distribution by mean of air pollutant emission(SOx, NOx, CO, VOC, PM-10) of each county for 5 years(2001~2005) is the following ; Buk District(31.0%) > Gwangsan District(28.2%) > Seo District(20.4%) > Nam District(12.5%) > Dong District(7.9%). The amount of air pollutant emission in Buk District, which has the most population, car registrations, and air pollutant emission businesses, was the highest. On the other hand, that of air pollutant emission in Dong District, which has the least population, car registrations, and air pollutant emission businesses, was the least. 5. The average rates of SOx for 5 years(2001~2005) in Gwangju is the following ; Non industrial combustion(59.5%) > Combustion in manufacturing industry(20.4%) > Road transportation(11.4%) > Non-road transportation(3.8%) > Waste disposal(3.7%) > Production process(1.1%). And the distribution of average amount of SOx emission of each county is shown as Gwangsan District(33.3%) > Buk District(28.0%) > Seo District(19.3%) > Nam District(10.2%) > Dong District(9.1%). 6. The distribution of the amount of NOx emission in Gwangju is shown as Road transportation(59.1%) > Non-road transportation(18.9%) > Non industrial combustion(13.3%) > Combustion in manufacturing industry(6.9%) > Waste disposal(1.6%) > Production process(0.1%). And the distribution of the amount of NOx emission from each county is the following ; Buk District(30.7%) > Gwangsan District(28.8%) > Seo District(20.5%) > Nam District(12.2%) > Dong District(7.8%). 7. The distribution of the amount of carbon monoxide emission in Gwangju is shown as Road transportation(82.0%) > Non industrial combustion(10.6%) > Non-road transportation(5.4%) > Combustion in manufacturing industry(1.7%) > Waste disposal(0.3%). And the distribution of the amount of carbon monoxide emission from each county is the following ; Buk District(33.0%) > Seo District(22.3%) > Gwangsan District(21.3%) > Nam District(14.3%) > Dong District(9.1%). 8. The distribution of the amount of Volatile Organic Compound emission in Gwangju is shown as Solvent utilization(69.5%) > Road transportation(19.8%) > Energy storage & transport(4.4%) > Non-road transportation(2.8%) > Waste disposal(2.4%) > Non industrial combustion(0.5%) > Production process(0.4%) > Combustion in manufacturing industry(0.3%). And the distribution of the amount of Volatile Organic Compound emission from each county is the following ; Gwangsan District(36.8%) > Buk District(28.7%) > Seo District(17.8%) > Nam District(10.4%) > Dong District(6.3%). 9. The distribution of the amount of minute dust emission in Gwangju is shown as Road transportation(76.7%) > Non-road transportation(16.3%) > Non industrial combustion(6.1%) > Combustion in manufacturing industry(0.7%) > Waste disposal(0.2%) > Production process(0.1%). And the distribution of the amount of minute dust emission from each county is the following ; Buk District(32.8%) > Gwangsan District(26.0%) > Seo District(19.5%) > Nam District(13.2%) > Dong District(8.5%). 10. According to the major source of emission of each items, that of oxides of sulfur is Non industrial combustion, heating of residence, business and agriculture and stockbreeding. And that of NOx, carbon monoxide, minute dust is Road transportation, emission of cars and two-wheeled vehicles. Also, that of VOC is Solvent utilization emission facilities due to Solvent utilization. 11. The concentration of sulfurous acid gas has been 0.004ppm since 2001 and there has not been no concentration change year by year. It is considered that the use of sulfurous acid gas is now reaching to the stabilization stage. This is found by the facts that the use of fuel is steadily changing from solid or liquid fuel to low sulfur liquid fuel containing very little amount of sulfur element or gas, so that nearly no change in concentration has been shown regularly. 12. Concerning changes of the concentration of throughout time, the concentration of NO has been shown relatively higher than that of $NO_2$ between 6AM~1PM and the concentration of $NO_2$ higher during the other time. The concentration of NOx(NO, $NO_2$) has been relatively high during weekday evenings. This result shows that there is correlation between the concentration of NOx and car traffics as we can see the Road transportation which accounts for 59.1% among the amount of NOx emission. 13. 49.1~61.2% of PM-10 shows PM-2.5 concerning the relationship between PM-10 and PM-2.5 and PM-2.5 among dust accounts for 45.4%~44.5% of PM-10 during March and April which is the lowest rates. This proves that particles of yellow sand that are bigger than the size $2.5\;{\mu}m$ are sent more than those that are smaller from China. This result shows that particles smaller than $2.5\;{\mu}m$ among dust exist much during July~August and December~January and 76.7% of minute dust is proved to be road transportation in Gwangju.

• 한국ITS학회 논문지
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• 제11권6호
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• pp.133-144
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• 2012

본 연구는 교통사고자료를 이용하여 고령자 집단과 비고령자 집단 간의 교통사고요인을 파악하여 각 요인들이 교통사고 심각도에 미치는 영향의 크기를 분석하였다. 나이에 의해 구분된 고령자와 비고령자 집단을 교통사고자료를 이용한 통계학적 방법에 의해 재분류하였으며, 교통사고 심각도에 미치는 영향요인을 분석하기 위해 심각도를 종속변수로 두고, 교통시설, 도로환경, 개인별특성에서 17개 독립변수로 정하여 순서형 로짓모형으로 분석하였다. 고령자 집단과 비고령자 집단의 교통사고 영향요인을 분석하여 비교한 결과, 사고 당사자의 연령뿐만 아니라, 사고유형이나 운전자 개인의 특성, 도로환경도 교통사고에 영향을 미치고 있음이 나타났다. 또한 고령자 집단과 비고령자 집단은 교통사고 심각도에 미치는 영향변수의 종류와 크기가 각각 다른 것으로 나타났다. 이는 각 집단의 개인적 특성에 적합한 교통시설이 개선된다면 교통사고의 심각도를 줄일 수 있음을 의미하는 것이라 할 수 있다.

• 대한토목학회논문집
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• 제28권5D호
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• pp.649-654
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• 2008

비가산경로비용(Non Additive Path Cost)에서 경로를 구성하는 링크통행비용의 합이 경로통행비용과 일치하지 않는다. 비가산성 비용의 적지 않은 사례가 교통부문에 존재하고 있으나 교통망 균형모형은 대부분 가산경로비용 가정에 의존하고 있다. 이 경우 교통망모형은 경로에 속해있는 링크의 통행비용에 선형적으로 증가한다는 경우에 한정된다. 비가산경로비용 대표적인 예로서 특정지역을 출입하는 통행료 체계를 들 수 있다. 이 체계는 차량이 진입(Entry)하면서 인식되고 진출(Exit)하면서 통행료가 정산되므로 링크의 요금이 경로에 선형적으로 반영되지 않는다. 본 연구는 지역기반 통행료 부과체계를 중심으로 새로운 Wordrop 균형모형을 제안한다. 제안된 모형은 비가산경로비용을 가산경로비용으로 전환되기 위해 이진표식변수를 도입한다. 제안된 모형은 경로를 열거하지 않고, 기존의 최적경로탐색기법과 비선형알고리즘이 적용이 가능하며, 수식과 해법에서 네트워크의 변형이 요구되지 않는다는 측면에서 기존에 제안된 모형보다 일반화되었다고 할 수 있다. 증명과 사례연구를 통하여 모형을 검증한다.

• 한국환경과학회지
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• 제17권10호
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• pp.1147-1154
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• 2008

Road runoff, one of non-point source pollutants, contains various heavy metals, most of which flow into discharge waters without being treated. The mechanism of removing the heavy metals in water is similar to that of removing micro-particles. Therefore, it is considered that it is possible to remove a lot of the heavy metals contained in the road runoff by filtering or absorbing them. In this paper, performed has been a basic study on the characteristics of UNFS (Up Flow Non-Point Source Filtering System) using carbide pellet and zeolite pellet as double-layer filtering mediums to treat the road runoff. The removal rate with filtering and absorption time has been shown as follows: 29.0% for Cr; 27.8% for Cd; 25.7% for Fe; 25.4% for Co; 21.2% for Pb; ]9.6% for Zn; 18.2% for Al; 17.0% for Mn; 11.3% for Ni; 7.5% for Cu. The overall removal rate according to influx change has been shown to be approximately 30%, and the load of heavy metals flowing out in initial precipitation could be reduced by using carbide as a recycling filtering medium. When the removal as coarse particles settle is added up, it is expected that UNFS will result in a higher removal rate.

• Ecology and Resilient Infrastructure
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• 제7권4호
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• pp.256-261
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• 2020

국내의 도로비점오염저감시설은 오염원을 저감시키는 성능에 근거해서 침투형, 식생형, 저류형, 인공습지 등과 같이 분류된다. 이 분류기법은 기법을 이해하기는 용이하나 도로교통과 관련된 요소가 고려되지 않아 실제 도로기술자가 계획이나 설계에 적용할 때 애로가 많았다. 본 연구에서는 도로비점오염저감시설을 설계에 적용할 때 시설의 종류를 결정할 수 있는 분류방법론을 개발하였다. 도로의 특성 (위치, 차선, 교통량), 시설여유, 도로의 구조물 등을 주요 결정인자로 도로비점저감 대책의 의사결정과정을 만들어 유형별로 시설을 선정할 수 있는 기법을 개발하였다. 각 유형별로 사이트의 조건과 적용이 가능한 시설 및 대책을 정리하여 현장에 적용할 수 있도록 하였다. 개발한 기법은 경기도 도로구역에 적용하여 보완하였고, 비점저감 계획에 사용할 수 있도록 하였다.

• 상하수도학회지
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• 제21권2호
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• pp.225-233
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• 2007

Road runoff water is one of the non-point sources (NPSs) of pollution negatively influencing drinking water source. Numerous road runoff NPS waters have been studied for over the last decade. However, the sources of pollution can be conditional, seasonal, or accidental. Therefore, measurement of pollutant loadings in different site is necessary to estimate the effect of road runoff water. The objective of this study was to examine the quality of road runoff water from a city bridge in Seoul, Korea. This study was conducted for two years to assess annual discharge pollution loads. In this study, key water quality parameters including chemical oxygen demand ($COD_{Cr}$), biochemcial oxygen demand ($BOD_5$), total nitrogen (T-N), total phosphorus (T-P), and suspended solid (SS) were measured at 18 different events. The results showed that typically the pollutant concentrations are higher at the beginning of each event and decrease afterwards. The first 20% of the volume of the runoff from each event is transporting 46% ($COD_{Cr}$), 48% ($BOD_5$), 50% (T-N), 34% (T-P), 30% (SS), respectively. The event mean concentrations (EMCs) were $COD_{Cr}$ (199 mg/L), $BOD_5$ (41.2 mg/L), T-N (7.97 mg/L), T-P (0.42 mg/L) and SS (113 mg/L). Although the results were consistent with the previous study (Barbosa and Hvitved-Jacobsen, 1999), $COD_{Cr}$, $BOD_5$, T-N exhibit a stronger first flush effect compared to the other contaminants.

• 한국물환경학회지
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• 제20권5호
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• pp.494-499
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• 2004

Growth in population and urbanization has progressively increased the loadings of pollutants from non-point sources as well as point sources. Therefore, it is necessary to manage both point and non-point sources contaminations for protecting water environment and improving water quality. This study investigated the characteristics of pollutant release over a wide range of rainfall intensities as a requisite to control road runoff that accounts for the largest portion of non-point source contamination in urban areas. Samples of runoff rainwater collected from real road surfaces were analyzed for physicochemical parameters such as pH, suspended solids, and heavy metals. A experimental model road ($30cm{\times}30cm$) was also used to evaluate wash-off properties of pollutants deposited on the surface as functions of time and rainfall intensity. Analysis of runoff samples on rain events showed that the pollutant wash-off patterns for heavy metal and suspended solids were similar. This implies that the particles in rainwater adsorb heavy metals. Experiments using the model road made of impervious asphalt demonstrate a strong first flush phenomenon. At high rainfall intensity, approximately 80% of total pollutants were released within 15 min. The pollutant wash-off rates rapidly increase from 9 mm/hr to 12 mm/hr of rainfall intensity and decrease over 12 mm/hr of rainfall intensity.

• 한국ITS학회 논문지
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• 제14권1호
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• pp.1-12
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• 2015

매설형 검지기는 검지 성능이 타 검지기에 비해 우수하지만, 설치 및 관리비용이 클 뿐 아니라 도로의 재포장이나 도로파손으로 인해 수명이 짧다는 단점이 있다. 이에 반해 기존 지주에 부착하여 사용하는 검지시스템인 비매설형검지기는 도로 노면을 손상시키지 않기 때문에 설치가 쉽고, 유지관리비용이 적다는 장점이 있다. 비매설식 검지기는 이러한 장점에도 불구하고, 검지 성능이 낮아 아직까지 신호제어용으로 사용하지 못하는 실정이다. 본 연구에서는 비매설형검지기 중에 정확도가 가장 높은 FMCW 방식의 레이더에 대해 성능평가를 수행하고, 신호제어용 검지용도별로 현장적용 유/무 결과를 제시하였다.

• 유공압시스템학회논문집
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• 제5권3호
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• pp.15-22
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• 2008

The road simulators have become common tools within the automotive industry for evaluation of vehicle and vehicle system durability performance. These simulators need appropriate input signal generation algorithms to realize the actual driving conditions due to non-linear vehicle and test rig behaviour. Although somewhat unconventional from a control standpoint, the iteration approach has proven to be a very effective method for control of complex, multiple degree-of-freedom systems where the tracking parameter is known a priori. In this paper, the road profile replication algorithm is verified by applying Belgian road to the developed road simulator. The simulation and experimental results are included to evaluate the performance of this simulator. This road simulator provides considerable savings in cost, development time, and testing risk during developing automotive components.