• 청정기술
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• 제3권2호
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• pp.47-56
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• 1997

환경 문제에 대한 사회적 관심이 높아지고 정부의 환경 규제도 강화되면서 환경 오염물질을 줄이기 위한 공정개선의 필요성이 대두되고 있다. 공정 개선을 위해서는 각 공정이 환경에 미치는 영향을 나타내는 정량적인 기준이 필요하다. 본 연구에서는 물질수지식으로부터 정의되는 오염 지수(Pollution Index)를 폐기물의 질량(mass), BOD, toxicity에 따라 세 가지로 구분하여 정의하였으며, 각 Pollution Index는 최적의 대안을 결정할 때 환경영향평가에 대한 정량적인 척도를 제시할 수 있으므로 비용평가와 더불어 공정 선택의 객관적인 기준이 될 수 있다. 정의된 Pollution Index를 문헌에 보고된 세제 제조 공정에 적용하여 기존의 공정과 개선된 공정에 대하여 Pollution Index를 계산하여 각 공정이 환경에 미치는 영향을 정량적인 수치로 비교하였다.

• 농업과학연구
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• 제46권4호
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• pp.799-811
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• 2019

The aim of this study was to evaluate heavy metal contamination and pollution index of agricultural soils around industrial complexes in the Jeon-Buk Regions of Korea. Soil samples near industrial complexes in 2017 were collected at two depths (0 - 15 and 15 - 30 cm) within a 500- and 1000-meter radius before planting. Eight heavy metals (Arsenic (As), cadmium (Cd), chromium (Cr), Cupper (Cu), nickel (Ni), lead (Pb), mercury (Hg) and zinc (Zn)) and the pollution index (PI), geoaccumulation index (Igeo) and soil pollution index (SPI) were evaluated based on soil contamination warning standard (SCWS). Overall, the heavy metal concentrations were below the SCWS. The PI ranged from 0.1 to 0.9 and categorized into Group 1 which is not polluted with any heavy metals. The average Igeo values of all the soil samples ranged from - 2.56 to 3.22. The Igeo values of Cd and Hg may not represent well the pollution index because the heavy metal concentrations in the soil is lower compared to the SCWS. In fact, based on the heavy metal concentrations, the Igeo for monitored soils should be categorized into Group 1, uncontaminated to moderately contaminated. However, the Igeo of Cd and Hg are classified into heavily contaminated. These results suggest that for calculating the Igeo, the heavy metal concentration and background concentration should be used very carefully if the heavy metal concentration in the soil is lower than the background concentration. SPI for all the soil samples ranged from 0.00 to 0.11 which indicates no heavy metal pollution was observed.

• 환경영향평가
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• 제16권4호
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• pp.267-275
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• 2007

In this study, relationship between the air pollution of Siheung city and the relative contribution of automobiles to the city's pollution was evaluated for the first time. Then, new air pollution exposure index was developed through simulation. Using the newly developed index, two different urban development scenarios were compared to present a sustainable urban development plan to reduce air pollution from the land utilization point of view. According to the result of this simulation, air quality of the city was found to be affected significantly by human activities. More populated area showed worse level of air quality. Any development in the city resulted in more automobile activity and deterioration of air quality. This simulation result thus explains that a rapid increase of automobiles accompanied by the land development near local roadsides in the city is the major cause of air pollution in Siheung city. In this study, if urban activities are vigorous in an area with high air pollution, people are more likely to be exposed to air pollutant under the bad environmental conditions. On the other hand, if urban activities are less vigorous in an area with high pollution or if urban activities are vigorous in an area with less pollution, the environmental condition was positive. The APEI (Air Pollution Exposure Index) was developed based on these considerations. Scenarios 1 and 2 were compared and analyzed using APEI. In result, scenario 1 is the case in which land is developed and used in an environmentally favorable manner. From this study, it was proved that the impact of air pollution on human health can be minimized with proper land use. The result form the current study can be used as the basic information to solve problems from improper land utilization and air pollution (by road traffic). It also can be utilized to evaluate air pollution level according to land use and road characteristics and to help to choose the best location of land use to comply with the road function and status.

• 자원ㆍ환경경제연구
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• 제14권1호
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• pp.135-166
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• 2005

본 연구의 목적은 한국의 24개 광업과 제조업종을 대상으로 1995~1999년간 통합된 오염원단위 지수와 변화지수를 제시하고 이를 통하여 환경성과를 측정하고자 함이다. 본 연구는 오염원단위의 새로운 정의와 통합된 오염원단위를 측정하는 새로운 기법을 제시한다. 광업과 제조업을 경공업, 중공업 그리고 중공업내 오염산업과 여타중공업으로 구분하고 실증적으로 통합원단위 지수와 변화지수를 계측한다. 통합오염원단위 지수 기준으로 중공업내 오염산업은 가장 오염집약적인 업종인 반면, 같은 중공업내 여타 중공업에 속한 업종은 가장 오염저감에 성공적이다. 통합오염원단위 변화지수를 기준으로 산업 전체의 평균치는 1,091로서 오염배출량변화지수가 1.133으로 연간 13.3% 증가한 반면 산출량변화지수는 1.039로 연간 3.9% 증가하여 약 9.1% 상승하였다. 경공업과 중공업의 통합원단위 변화지수는 각각 1.125와 1.042였고, 오염산업의 평균이 1.287로 가장 높았음에도 중공업의 평균이 낮았던 것은 역시 여타 중공업의 평균이 0.913으로 연간 약 9% 가량 감소하였기 때문이다.

• 디지털융복합연구
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• 제20권5호
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• pp.547-557
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• 2022

해양 유류오염 및 유출량 증가에 따라 방제능력을 추가로 확보에는 많은 위험이 있다. 현재 해역에 배치된 방제선을 재배치하여 유휴능력을 개선하고 부족한 해역에 배치하고자 하고자 해양오염지수를 도출하고 해역별 해양오염지수 대비 방제능력을 비교하여 방제선 배치의 적절성을 검증하였다. 해양오염을 유발하는 항목에 대한 해역별 수치에 전문가 집단에서 도출한 가중치를 곱하여 해양유류 오염위험지수를 도출하였다. 해역별 해양오염 위험지수(F) 대비 방제능력(A)이 부족한 해역은 목포(F:13.4, A:1.9), 부산(F:14.3, A:6.4), 여수(F:21.5, A:16.6)이고, 여유있는 해역은 마산(F:5.9, A:13.3), 군산(F:1.7, A:8.3), 제주(F:2.7, A:6.9)이다. 따라서 해양오염 위험도에 비례한 평준화된 방제능력을 제고하기 위해 방제능력 여유 해역인 마산, 군산, 제주의 방제선을 방제능력 부족해역인 목포, 부산, 여수으로 재배치되어야 함을 시사한다.

• 한국대기환경학회지
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• 제6권1호
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• pp.103-110
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• 1990

To investigate the damage on the black pine(Pinus thunbergii) by the air pollution around Ulsan Industrial Complex, forty-six plots were set up and the effects of air pollution were evaluated with the injured index of black pine. The injured index of black pine showing the degree of air pollution from 1987 to 1988 indicated that the central area of Yeochun-dong and Youngjam-dong were heavily damaged. The effective indicaters of black pine damage from air pollution in the order of importance were the color change of one-year-old branch, the ratio of fallen needle of two-year-old branch, the degree of reducing needle, and the degree of growing shoot growth. There was a reliable relationship between the content of $SO_3$ and F in the air and the injured index of black pine. There was no significant correlation between the injured index of the black pine and the content of chemical properties in soil.

• 한국토양비료학회지
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• 제49권6호
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• pp.768-775
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• 2016

Heavy metal pollution in arable field is an critical problem due to crop safety. For this reason, national survey of heavy metal pollution in the arable field near at the industrial area has been conducted from 1999 in Korea. The main purpose of this research was to monitor heavy metal pollution in Chungnam/chungbuk province and to evaluate pollution index (PI) in soil. Total of 15 sampling locations were examined and average concentration of each heavy metals were following: As - $2.99{\pm}2.63$, Cd - $0.23{\pm}0.07$, Cu - $9.35{\pm}6.48$, Ni - $9.26{\pm}8.03$, Pb - $10.18{\pm}3.32$, Zn - $52.9{\pm}17.18$. No sampling site was exceeded threshold level of each heavy metals. Calculated PI in soil was ranged between 0.03 - 0.27 indicating that also no heavy metal pollution is occurred in examined sampling locations. Although, no heavy metal pollution was observed in the examined sites but monitoring of heavy metal pollution should be continued for possible accidental pollution in arable field near at the industrial area.

• 한국철도학회논문집
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• 제2권3호
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• pp.46-53
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• 1999

In this paper, made was a study on a mesh generation method based on the pollution error. This method is designed for the control of the pollution error in any patch of elements of interest. It is a well-known fact that the pollution error estimates are much more than the local one. When the pollution error is significant, nothing can be said about the reliability of any estimator based on local computations in the patch. Reliable a posteriori error estimation is possible by controlling the pollution error in the patch through proper design of the mesh outside the patch. This design is possible by equally distributing the pollution error indicators over the mesh outside the patch. The mesh generated from the conventional feedback pollution-adaptive mesh generation algorithm needs many iterations. Therefore, the solution time is significant. But the remeshing scheme in the proposed method was used here. It was shown that the pollution-adaptive mesh improves the E.I., simply denoted as Effectivity Index, on the patch of interest, and the pollution error reduces less than the local error.

• 한국환경과학회지
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• 제9권6호
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• pp.495-503
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• 2000

Dust samples were collected from 17 middle and high schools in the Jeonju-city. heavy metal concentrations were determined for the dry-deposited dusts from indoor and outdoor of classroom and playground of each sampling site. Concentrations of Cd, Cr, Cu, Ni, Pb and Zn in indoor\`s dusts were highly concentrated. Also heavy metal concentrations in outdoor\`s dusts were similar to that of indoor\`s dusts. Concentrations of Cd, Cu, and Zn in the dusts were much higher than the world average contents in soil and environmental orientation value. These levels are similar to those of the dust samples at middle schools located at Kangseo-gu and Yangchon-gu , Seoul. Playground dusts in 6 schools exhibited the enhanced heavy metal pollution with a pollution index (by Kloke) greater than 1.0. Most indoor and outdoor dusts exhibited the enhanced heavy metal pollution with a pollution index(by Cullbard et al.) greater than 1.0.

• Environmental Engineering Research
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• 제20권3호
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• pp.260-267
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• 2015

The $PM_{10}$, $SO_2$ and $NO_2$ mass concentrations were obtained over five years from monitoring stations across Nanchong, a southwest city in China. Changes in urban air quality over time, as well as the factors influencing that change, were evaluated based on air pollutant concentrations, the Air Pollution Index (API), and the Comprehensive Pollution Index (P). The results showed that the total annual mean $PM_{10}$, $SO_2$ and $NO_2$ concentrations over the five years studied were $61.1{\pm}1.1$, $45.0{\pm}3.9$ and $34.9{\pm}4.9{\mu}g{\cdot}m^{-3}$, respectively. The annual mean concentrations displayed a generally decreasing trend; lower than the annual mean second-level air quality limit. Meanwhile, the annual mean API values were in a small range of 52-53, the air quality levels were grade II, and P values were 1.06-1.21 less than the slight level ($P{\leq}1.31$). Total monthly mean $PM_{10}$, $SO_2$, $NO_2$ concentrations, and API and P values were consistently higher in winter and spring than during autumn and summer. The results of a correlation analysis showed that temperature and pressure were the major meteorological factors influencing pollution levels. Pollution sources included industrial coal and straw burning, automobiles exhaust and road dust, fireworks, and dust storms.