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RISS 인기검색어
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- 저자 : 구윤서(Youn-Seo Koo) (검색결과 36 건)
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지역 분할 방법에 의한 ISCST3 모델링으로 수도권 지역에서 SO<sub>2</sub> 농도 예측 연구
구윤서,김성태,신봉섭,신동윤,이정주,Koo, Youn-Seo,Kim, Sung-Tae,Shin, Bong-Sup,Shin, Dong-Yoon,Lee, Jeong-Joo 한국환경영향평가학회 2003 환경영향평가 Vol.12 No.4
$SO_2$ concentrations in the Seoul Metropolitan Area (SMA) were predicted by the regional segment ISCST3 modeling. The SMA was segmented by three modeling regions where the weather monitoring station exists since the area of the SMA, approximately $100km{\times}100km$, is too wide to be modeled by one modeling domain. The predicted concentrations by the model were compared with the measured concentrations at 39 air monitoring stations located in the SMA to validate the ISCST3 modeling coupled with the regional segment approach. The predicted concentrations by the regional segment method showed better performance in depicting the measurements than those by the non-segment ISCST3 modeling. The correction methods of the calculated concentrations reviewed were here the correlation method by the first order linear equation and the ratio method of observed to calculated concentrations. The corrected concentrations by two methods showed good agreement with the measured data. The ratio method was, however, easily applicable to the concentration correction in case of a wide modeling region considered in this study.
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대기확산 모델링 Software, AirMaster 개발
구윤서,윤희영,김성태,전경석,박성순,권희용,황주현,김종화,최종근,이임학,Koo, Youn-Seo,Yoon, Hee-Young,Kim, Sung-Tae,Jeon, Kyung-Seok,Park, Sung-Soon,Kweon, Hee-Yong,Hwang, Ju-Hyun,Kim, Jong-Hwa,Choi, Jong-Keun,Lee, Im-Hak 한국환경영향평가학회 2000 환경영향평가 Vol.9 No.4
A Korean air dispersion modeling software, AirMaster, was developed on a basis of dispersion theories adopted in U.S. EPA's ISC3 (Industrial Source Complex - version 3) model to assess the air quality impact from the stacks. Key characteristics of AirMaster are as follows: 1) The building downwash effect can be easily simulated; 2) The screen, long term, and short term models can be run independently; 3) The input data to run the model such as meteorological and terrain data are supplied automatically from the databases in AirMaster; and 4) The modeling procedure is easy and simple under the GUI window environment. In order to validate AirMaster, comparisons with ISC3 model and Indianapolis tracer experiment were carried out. It was shown that AirMaster was identical to ISCST3 and ISCLT3 models in predicting the 1 hr to annual concentrations from the stack under various stack emission and meteorological conditions. The 1 hr concentrations predicted by AirMaster also showed a good agreement with the Indianapolis tracer measurements.
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PM<sub>10</sub> 예보 향상을 위한 민감도 분석에 의한 역모델 파라메터 추정
유숙현,구윤서,권희용,Yu, Suk Hyun,Koo, Youn Seo,Kwon, Hee Yong 한국멀티미디어학회 2015 멀티미디어학회논문지 Vol.18 No.7
In this paper, we conduct sensitivity analysis of parameters used for inverse modeling in order to estimate the PM<sub>10</sub> emissions from the 16 areas in East Asia accurately. Parameters used in sensitivity analysis are R, the observational error covariance matrix, and B, a priori (background) error covariance matrix. In previous studies, it was used with the predetermined parameter empirically. Such a method, however, has difficulties in estimating an accurate emissions. Therefore, an automatically determining method for the most suitable value of R and B with an error measurement criteria and posteriori emissions accuracy is required. We determined the parameters through a sensitivity analysis, and improved the accuracy of posteriori emissions estimation. Inverse modeling methods used in the emissions estimation are pseudo inverse, NNLS (Nonnegative Least Square), and BA(Bayesian Approach). Pseudo inverse has a small error, but has negative values of emissions. In order to resolve the problem, NNLS is used. It has a unrealistic emissions, too. The problems are resolved with BA(Bayesian Approach). We showed the effectiveness and the accuracy of three methods through case studies.
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연구논문 : AGDISP모델을 이용한 농약의 대기확산 영향평가
김정환 ( Jeong Hwan Kim ),구윤서 ( Youn Seo Koo ),이승훈 ( Seung Hoon Lee ) 한국환경영향평가학회 2013 환경영향평가 Vol.22 No.6
Recently, golf courses have increased over the years because golf became popular leisure sport. Various environmental problems have been then issued by a golf course during constructing and running them. A problem of pesticide, which is serious among various environmental problems, from golf course has harmful effect on surrounding area and makes human suffer from acute and chronic diseases. Pesticides are used for the cost-effective managing of golf course and the amount of pesticides also increases as the number of golf course increase. Since the assessment of pesticides on near-by surrounding has been focused on water and soil media, studies related to atmospheric dispersion have been hardly attempted. The method to assess an impact of pesticide nearby agricultural production by the atmospheric dispersion using AGDISP(AGricultural DISPersal) model was developed and applied to the actual planned golf course located in Hongcheon, Gangwon. For implementing AGDISP, parameters were investigated from the golf course’s land use planning map, pesticide spray device, Hong-Cheon weather station and etc. First of all, a kind of pesticide, a form of spraying pesticide, geographical features, weather data, and distance(golf course to plantation) were investigated to understand how to work these parameters in AGDISP. Restricted data(slope angle, droplet size distribution and solar insolation) sensitivity analysis of these parameters to estimate effect of pesticide nearby a plantation and a high relative contribution data of analyzed data was selected for input data. Ethoprophos was chosen as the pesticide used in the golf course and the amounts of pesticide deposition per annual agricultural productions were predicted. The results show that maximum amount of pesticide deposition through atmospheric dispersion was predicted 2.32 ㎍/㎡ at 96 m where the nearest organic plantation exists. The residues of pesticide were also estimated based on the annul production of the organic and the deposition amount of the pesticide. Consequently, buckwheat, wheat and millet were likely to exceed maximum residue limits for pesticides in foods(MRL) and sorghum, corn and peanut were likely to exceed MRL by organic farming as well.
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