• Journal of Soil and Groundwater Environment
• /
• v.10 no.3
• /
• pp.24-31
• /
• 2005

This study presents a contaminant transport model suitable for a 2-dimensional heterogeneous aquifer with multiple contaminant sources. It uses a streamline simulation, which transforms a multi-dimensional problem into multiple 1dimensional problems. It runs flow simulation, streamline tracking, and calculation of contaminant concentrations by turns. The model is verificated with a Visual MODFLOW by comparing contaminant concentration distributions and breakthrough curves at an observation well. Due to its fast simulation, it can be applied to time consuming simulations such as in a fine-grided aquifer, an inverse modeling and other applications.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2008.05a
• /
• pp.505-509
• /
• 2008

우리나라의 최근에 개발된 신도시나 신시가지를 제외한 대부분이 합류식 하수관망으로 구성되어 있다. 이에 따른 초기강우시 도시 인접하천으로 유입되는 유출수가 수질오염을 가중시키고 있다. 분류식 하수관이 설치된 지역이라도 강우에 의해 도시지역 노면에서 우수관을 통해 하천으로 배출되며 유출수 자체도 오염물질 농도가 높고 유해물질까지 함유하고 있는 경우가 많다. 그러므로 도시하천에 대한 종합적인 수질관리를 위해서는 점오염원뿐만 아니라 초기강우시 도시 유출수의 수질 및 오탁부하량 등 비점오염원에 대한 기초조사 및 해석이 선행되어야 한다고 판단된다. 따라서, 이 연구에서는 도시하천의 초기강우에 의한 유출수의 수질특성을 분석하기 위하여 홍제천, 중랑천, 남가좌배수구역 및 군자배수구역 등 4개 도시유역에서 직접 시료를 채취하여 각 수질항목에 대하여 분석하였다. 수질분석은 환경오염공정시험법이나 표준시험법에 준하였고, 현장에서 실측이 가능한 항목들은 현장에서 측정하였으며, 나머지 항목은 시료를 즉시 실험실로 운반하여 분석하였다. 홍제천은 1996년 8월부터 1997년 9월까지 5개 강우사상의 자료를 분석하였고, 중랑천은 2001년 5월부터 2005년 4월까지 7개 강우사상, 남가좌배수구역은 1995년 7월에서 1997년 9월까지 5개 강우사상, 그리고 군자배수구역은 2005년 4월부터 2007년 9월까지 11개 강우사상에 걸쳐 수질분석을 실시하였다. 분석된 수질자료를 이용하여 도시지역의 초기강우에 의한 초기유출수와 수질의 관계를 분석 비교 하였으며, 또한, 초기유출수에 따른 비점오염원별 상관성을 분석하여 유량 측정을 통하여 보다 손쉽게 총 오염부하량을 산출 할 수 있도록 비유량과 SS, $BOD_5$, COD 등의 수질성분간의 상관계수와 회귀식을 도출하여 이들 상관식으로부터 유량변화에 따른 수질성분의 예측에 활용토록 하였다. 그러나, 외삽구간의 유량에 대한 수질 예측 결과에는 큰 오차가 있을 수 있으므로, 보다 다양한 유량에 대한 수질관측자료로 보완된 상관식의 개발로 극복되어질 수 있을 것으로 판단된다. 이 연구의 성과는 도시유출에서 수질과의 상관성과 도시하천의 유량 수질관리에 유용한 자료로 활용될 수 있을 것으로 판단된다.

• Journal of Korea Water Resources Association
• /
• v.36 no.4
• /
• pp.691-703
• /
• 2003

In this paper, a new and integrated approach easily used to calculate the pollutant loads from agricultural watersheds is suggested. Basic concepts of this empirical tool are based on the hypotheses that variations in event mean concentrations(EMCs) of the pollutants from a given agricultural watershed during rainstorms are only due to the rainfall pattern. This assumption would be feasible to agricultural watersheds whose land uses does not change during the cultivation period overlapped by rainy season and also in which point-sources of the pollutants are rare. Therefore, if EMC data sets through extensive sampling from various rural areas are available, it is possible to establish relationships between EMCs, shapes and land uses of the watersheds, and rainfall events. For this purpose, fifty one sets of EMC values were obtained from nine different watersheds, and those data were used to develop predictive tools for the EMCs of 55, COD, TN and TP in rainfall runoff. The results of the statistical tests for those formulas show that they are not only fairly good in predicting actual EMC values of some parameters, but also useful in terms of calculating pollutant loads on any time-spans such as the day of rainfall event or weekly, monthly, and yearly. Their applicability was briefly demonstrated and discussed. Also, the unit loads calculated from EMCs based on different land uses and real rainfall data over one of the watershed used for this study. were provided, and they are compared with other well-known unit loads.

• Journal of Climate Change Research
• /
• v.9 no.4
• /
• pp.423-433
• /
• 2018

Particulate matter air pollution is a serious problem affecting human health and visibility. The variations in $PM_{10}$ concentrations are influenced by not only local emission sources, but also atmospheric circulation conditions. In this study, we investigate the temporal features of $PM_{10}$ concentrations in South Korea and the atmospheric circulation patterns associated with high concentration episodes of $PM_{10}$ during winter (December-January-February) 2001-2016. Based on those analyses, a Korea Particulate matter Index (KPI) is developed to represent the large-scale atmospheric pattern associated with high concentration episodes of $PM_{10}$. The atmospheric patterns are characterized by persistent high-pressure anomalies, weakened lower-level north-westerly anomalies, and northward shift of the upper-level meridional wind anomalies near the Korean Peninsula. To evaluate the change in occurrence of high concentration episodes of $PM_{10}$ under a possible future warmer climate, we apply KPI analysis to CMIP5 climate simulations. Here, historical and two representative concentration pathway (RCP) scenarios (RCP 4.5 and RCP 8.5) are used. It is found that the occurrence of atmospheric conditions favorable for high $PM_{10}$ concentration episodes tends to increase over South Korea in response to climate change. This suggests that large-scale atmospheric circulation changes under future warmer climate can contribute to increasing high $PM_{10}$ concentration episodes in South Korea.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.14 no.6
• /
• pp.607-616
• /
• 2012

The need for management of tunnel air quality is imminent considering the rapid increase of number and span of tunnels in Korea. To investigate spatial distribution of $CO_2$ within tunnels, $CO_2$ were measured and model simulations were performed in Namsan 1 tunnel. Results show that $CO_2$ concentrations were 250 ppm to 400 ppm higher in the exit than tunnel entrance. Also, $CO_2$ concentrations were 200 ppm to 300 ppm lower inside no ventilating vehicle than in the tunnel. Both experimental and model simulation results show that spatial distribution and concentration gradient of air pollutant inside tunnel are highly dependent on traffic density.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.12
• /
• pp.3740-3747
• /
• 2009

To protect the citizens' health of Gyeongju and to secure basic data for the assessment of health and environmental risk, distribution characteristics of meteorological elements were investigated and numerical simulation of wind field using RAMS model was carried out. In addition, measurement and analysis of air pollutants, forecasting the behavior air pollutants using ISC-AEROMOD view, and health and environmental risk-influenced zones were defined through managing air polluting materials to prevent health damage and property damage. According to the survey results of air pollution in Gyeongju and surroundings, average annual concentration of air pollutants in Gyeongju was slightly lower than that in Pohang and Ulsan areas, but concentration of particulate matters and nitrogen dioxide at Gyeongju Station Square and Yonggang Crossing were sometimes higher than that in Pohang and Ulsan areas. Results of the modeling of moving and diffusion of air pollutants that affect citizens' health showed that parts of the 1st through 4th industrial complexes together with POSCO were included in particulate matters and sulfur dioxide influenced areas in Pohang Steel Complex area, and that Haedo-dong, Sangdae-dong, Jecheol-dong and Jangheung-dong in Pohangnam-gu represented locally worsened air quality due to a quantity of air pollutant emission from dense steel industries and large scale industrial facilities.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.2
• /
• pp.597-603
• /
• 2010

The amount of pollutants from stationary sources of businesses classified into 1-3 type in Gyeongju was found to be 0.70 ton/yr for PM-10, 13.95 ton/yr for $SO_2$, and 37.12 ton/yr for NOx ; with respect to area sources, 1.02 ton/yr for PM-10, 13.44 ton/yr for $SO_2$, and 21.10 ton/yr for NOx ; and with respect to mobile sources 963.91 ton/yr for PM-10, 1415.02 ton/yr for $SO_2$, and 5612.70 ton/yr for NOx. This study surveyed the concentration distribution of PM-10, $SO_2$, and NO2 in the air in around Gyeongju and Pohang, and found that high concentration was mainly distributed around Pohang Steel Industrial Complex and the around of mobile sources. In Gyeongju area, $SO_2$ was predicted to increase from 0.002 ppm in 2006 to 0.005 ppm in 2015, and that of $NO_2$ was predicted to increase from 0.004 ppm to 0.010 ppm during the same period. At this point, practicing guidelines to reduce air pollutants and management plan for environmental pollutants should be devised, and also practicing and management programs to protect the stone cultural properties from environmental pollutants and other chemical, physical, and biological factors should be actively introduced.

• Journal of Korean Society for Atmospheric Environment
• /
• v.5 no.1
• /
• pp.43-51
• /
• 1989

개발된 산성비 모델에서는 다종의 대기오염물 제거로 인한 강우내의 화학성분과 산성도의 고도별 및 시간별 변화를 예측하기 위하여, 강우시 구름내와 밑에서 일어나는 대기 오염물의 강우내로의 물질전달 현상과 화학반응 현상을 동시에 고려하였다. 또한, 강우 산성도의 형성에 중요한 영향을 미치는 구름내에서의 복잡한 동력학적 특성을 고려하기 위하여 강우율의 높이별 변화를 단순화하여 해석하였다. 개발모델을 이용하여 1985년과 1987년 가을의 서울시 산성비에 대하여, 산성비 모델을 이용하여 추정한 pH값과 실측 pH값 사이의 상관관계는 0.57을 나타내었고, 효과적이고 정량적인 관리를 위하여 대기중의 이산화황 농도, 구름층의 두께, 지상에서의 강우율 및 황산이온의 형성에 중요한 역활을 하는 산화제들의 강우 산성도에 미치는 영향을 민감도 분석을 통해서 나타내었다.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 1999.10a
• /
• pp.305-306
• /
• 1999

현재 우리나라의 가장 큰 대기오염의 문제 중 하나가 광화학 오존이라는 것은 누구나 인정하는 사실이다. 그러나 아직까지 우리나라의 광화학 오존에 대한 연구는 일반인의 관심에 비하여 많이 활성화 되지 못한 것이 현실이다(김영성 외, 1998), 또한 정부에서는 오존 경보제와 예보제를 도입 시행 중이지만 주요한 시행 정책 및 예측모델이 주로 선진국의 것을 기본으로 하고 있어 우리의 현실과의 차이가 여러차례 지적된 바 있다(김영성 외, 1998).(중략)

• Analytical Science and Technology
• /
• v.25 no.1
• /
• pp.14-18
• /
• 2012

Rn-222 was used as a natural radioactive isotope tracer to evaluate non-aqueous phase liquid(NAPL) contaminated soil and aquifer. In the case of soil sample, Rn-222 concentration was inversely decreased with diesel concentration in the granite soil sample and it was decreased about 30% at the 13% diesel contaminated soil. For evaluating trichloroethylene (TCE) contaminated aquifer, the natural radioisotope Rn-222 was used as naturally occurring partitioning tracer for the approximate localization and semiquantitative assessment of the TCE source zone. Rn-222 was analyzed for the estimation of TCE contamination ranges of the acquifer in the contaminated site at Wonju in Korea.