• 융합정보논문지
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• 제10권8호
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• pp.127-136
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• 2020

화학물질을 이용한 화학테러·사고는 국내·외에서 지속해서 발생, 시도되는 추세이다. 국내의 경우, 환경부 화학물질안전원에서 CARIS(Ver. 2018)를 화학테러·사고 발생지역의 피해 영향 범위 평가 용도로 제공하여 현장 대응에 활용하고 있다. 하지만 현행 CARIS는 실내, 지하 등과 같은 폐쇄된 공간에 대한 영향을 고려하지 못하여 현장에서 요구하는 정밀한 피해 영향 범위 평가 결과를 제공하는데 어려우며 제공되는 정보도 제한적이다. 본 연구에서는 CARIS(Ver. 2018)를 구동하여 획득한 피해 영향 범위 평가 결과와 국내·외 문헌 자료를 비교, 검토하여 제한사항과 개선 방향을 제시하였다. 또한 지하, 실내 등 특수 지점, 지역에 대한 구동 모델 구축의 필요성과 현장 대응 요원 등 포함한 주민에게 제공되는 정보의 방향성을 제안하였다. CARIS의 보완과 수정에 있어 본 연구에서 제안한 방법이 반영된다면 더욱 진보된 화학테러·사고 현장 대응 역량 체계 구축이 될 것으로 기대한다.

• 환경영향평가
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• 제12권1호
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• pp.23-34
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• 2003

The emergency response modeling system CARIS has been developed at CCSM (Center for Chemical Safety Management), NIER (National Institute of Environmental Research) to track and predict dispersion of hazardous chemicals for the environmental decision support in case of accidents at chemical or petroleum companies in Korea. The main objective of CARIS is to support making decision by rapidly providing the key information on the efficient emergency response of hazardous chemical accidents for effective approaches to risk management. In particular, the integrated modeling system in CARIS consisting of a real-time numerical weather forecasting model and air pollution dispersion model is supplemented for the diffusion forecasts of hazardous chemicals, covering a wide range of scales and applications for atmospheric information. In this paper, we introduced the overview of components of CARIS and described the operational modeling system and its configurations of coupling/integration in CARIS. Some examples of the operational modeling system is presented and discussed for the real-time risk assessments of hazardous chemicals.

• 한국대기환경학회지
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• 제24권1호
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• pp.1-15
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• 2008

Chemical Accident Response Information System (CARIS) which has been designed for the efficient emergency response of chemical accidents produces the real-time atmospheric fields through the Regional Atmospheric Modeling System, RAMS. The previous studies were emphasized that improving an initial input data had more effective results in developing prediction ability of atmospheric model. In a continuous effort to improve an initial input data, we replaced the land-use dataset using in the RAMS, which is a high resolution USGS digital data constructed in April, 1993, with the latest land-use data of the Korea Ministry of Environment over the South Korea and simulated atmospheric fields for developing a real-time prediction in dispersion of chemicals. The results showed that the new land-use data was written in a standard RAMS format and shown the modified surface characteristics and the landscape heterogeneity resulting from land-use change. In the results of sensitivity experiment we got the improved atmospheric fields and assured that it will give more reliable real-time atmospheric fields to all users of CARIS for the dispersion forecast in associated with hazardous chemical releases as well as general air pollutants.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2002년도 추계학술대회 논문집
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• pp.103-104
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• 2002

산업의 발달에 따라 국내에 유통되는 화학물질의 종류 및 취급량이 최근 급증하고 있으며 이에 비례해서 유해화학물질과 연관된 사고 사례도 매년 증가하고 있다(산업자원부, 2001). 이러한 화학사고의 체계적인 대응을 위해 국립환경연구원의 화학물질안전관리센터에서는 2002년 초부터 주요 화학 공단을 중심으로 국가차원의 실시간 화학물질 사고대응 정보시스템 (CARIS : Chemical Accident Response Information System)을 구축하여 유해화학물질을 체계적으로 관리·운영하고 있다 (국립환경 연구원, 2002). (중략)

• 한국산학기술학회논문지
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• 제22권1호
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• pp.703-712
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• 2021

본 연구에서는 주민대피 대비물질 16종 중 급성노출기준 AEGL값이 존재하는 13종에 대하여 지방자치단체에서 주민대피 및 알림을 결정할 수 있도록 화학물질사고대응정보시스템을 활용한 피해영향거리 산정식을 도출하고자 하였다. 화학물질안전원에서는 2018년 사고대비물질 97종 중 물리·화학적 특성 및 독성, 발화성, 반응성, 사고발생 가능성 등을 고려하여 누출 시 사고 원점 인근의 주민에게 피해가 예상되는 물질 16종을 선정하여 주민대피 대비물질로 명명하였으며, 주민대피 대비물질의 화학사고 발생 시에는 실내대피 또는 주민소산 등의 가능성이 있으므로 지방자치단체는 긴급재난문자 등 주민알림에 대비하여야 한다. 충청북도 충주시를 중심으로 화학물질사고대응정보시스템을 사용하여 주민대피 대비물질 13종의 피해영향거리를 모델링 하였으며, 모델링 결과를 바탕으로 각각의 AEGL-2조건에서의 적합한 피해영향거리 산정식을 도출하였다. 모든 조건에서 결정계수 R2은 0.99 이상이었으며 최소 0.9921~최대 0.9999의 범위를 나타내었다. 도출된 산정식으로 얻어진 피해영향거리와 화학물질사고대응정보시스템 모델링으로 얻어진 피해영향거리 수치간의 상대표준편차를 비교하였으며, 실제 화학사고 대응 상황을 고려하여 최소 이격거리를 보정한 결과 0.58~5.97 % 범위로 조사되었다. 주민대피 대비물질 13종에 의한 누출사고 발생 시 연구에서 도출된 산정식을 사용하여 현장에서는 피해영향거리를 산정할 수 있으며, 지방자치단체는 주민대피 및 알림 여부를 결정할 수 있다.

• 한국대기환경학회지
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• 제19권5호
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• pp.595-610
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• 2003

The statistical indexes such as RMSE (Root Mean Square Error), Mean Bias error, and IOA (Index of agreement) are used to evaluate 3 Dimensional wind and temperature fields predicted by operational meteorological model RAMS (Regional Atmospheric Meteorological System) implemented in CARIS (Chemical Accident Response Information System) for the dispersion forecast of hazardous chemicals in case of the chemical accidents in Korea. The operational atmospheric model, RAMS in CARIS are designed to use GDAPS, GTS, and AWS meteorological data obtained from KMA (Korean Meteorological Administration) for the generation of 3-dimensional initial meteorological fields. The predicted meteorological variables such as wind speed, wind direction, temperature, and precipitation amount, during 19 ∼ 23, August 2002, are extracted at the nearest grid point to the meteorological monitoring sites, and validated against the observations located over the Korean peninsula. The results show that Mean bias and Root Mean Square Error are 0.9 (m/s), 1.85 (m/s) for wind speed at 10 m above the ground, respectively, and 1.45 ($^{\circ}C$), 2.82 ($^{\circ}C$) for surface temperature. Of particular interest is the distribution of forecasting error predicted by RAMS with respect to the altitude; relatively smaller error is found in the near-surface atmosphere for wind and temperature fields, while it grows larger as the altitude increases. Overall, some of the overpredictions in comparisons with the observations are detected for wind and temperature fields, whereas relatively small errors are found in the near-surface atmosphere. This discrepancies are partly attributed to the oversimplified spacing of soil, soil contents and initial temperature fields, suggesting some improvement could probably be gained if the sub-grid scale nature of moisture and temperature fields was taken into account. However, IOA values for the wind field (0.62) as well as temperature field (0.78) is greater than the 'good' value criteria (> 0.5) implied by other studies. The good value of IOA along with relatively small wind field error in the near surface atmosphere implies that, on the basis of current meteorological data for initial fields, RAMS has good potentials to be used as a operational meteorological model in predicting the urban or local scale 3-dimensional wind fields for the dispersion forecast in association with hazardous chemical releases in Korea.

• 한국지하수토양환경학회지:지하수토양환경
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• 제15권6호
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• pp.122-127
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• 2010

Constructing the national inventory that can be used as a tool to identify and assess existing or potential contamination is necessary for efficiently managing the soil and groundwater contamination. In order to start this construction, the first step is how we define and classify potential contamination sources of soil and groundwater. After selecting the basic classification model of contamination sources from developed countries, we suggested the classification and list of the potential contamination sources of soil and groundwater which are appropriate for specific conditions of South Korea. In addition, we investigated several databases to confirm the existence of available data sources and then examined established attribute data through chemical accident response information system (CARIS) and water information system (WIS) in National Institute of Environmental Research and mine geographic information system (MGIS) in Mine Reclamation Corporation. All sorts of attribute data in the existing databases can be utilized as significant assessment factors for determining the management priority of potential contamination sources in the future. Therefore, it is required the expanded investigation of additional database sources and the continual modification so that the classification system of potential contamination sources can be improved.