• Environmental Analysis Health and Toxicology
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• 제30권
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• pp.10.1-10.14
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• 2015

Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.

• 한국농촌건축학회논문집
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• 제20권2호
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• pp.37-48
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• 2018

As part of the housing policy on the concentration of large cities due to economic growth, large-scale construction was carried out for many years, but the focus of the quality improvement was largely on the quality supply. With criticism that such large-scale housing construction is distorting urban and rural landscape, it was forced from 2000 to apply the district unit plan to the development of housing sites with a certain scale and the district unit plan. In addition, it evaluated how the rural and urban landscape would look during the planning of the District Unit Plan, and how the resulting space would have an objective effect on urban and rural areas and how it would be evaluated for harmony. Therefore, this study applies and evaluates the weighted value of each inspection point selected by Lee lim jung (2016) to compare and analyze the actual application of the inspection point and the review report. As a result, it was assessed that no rational landscape planning was established because many simulation presentations were made at the lower priority point, and little was presented at the higher priority. The view point weights were distributed in the Landscape Review of the District Unit Plan with a score of up to 36 points from the lowest of 6 points, which resulted in the view simulation being reviewed in terms of various aspects.

• Journal of Ecology and Environment
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• 제30권1호
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• pp.101-105
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• 2007

Lammas growth, a rare phenomenon for Korean red pine (Pinus densiflora), occurred in 2006. Lammas shoots showed higher frequency and longer length in Seoul's hotter urban center than in urban boundary or suburban forest sites. Frequency and length showed a close correlation with urbanization density and vegetation cover expressed in NDVI. Air temperature in the late summer of 2006 was more than $1^{\circ}C$ higher than an average year. Of the predominant environmental signals that modulate bud flush, only temperature changed significantly during the year. Differences in temperature between the urban centers, urban boundaries and suburban forests correlated with varying land-use density. The rise in temperature likely spurred lammas growth of the Korean red pine. Symptoms of climate change are being detected throughout the world, and its consequences will be clearer in the future. Considerate interest in the responses of ecological systems to the variable changes is required to prepare for unforeseeable crises. Monitoring of diverse ecological phenomena at Long Term Ecological Research sites could offer harbingers of change.

• 한국환경과학회지
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• 제18권10호
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• pp.1103-1114
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• 2009

In this study, the environmental behavior of malodor pollutants (MPs: $H_2S$, $CH_3SH$, DMS, and DMDS) was investigated around areas influenced by strong anthropogenic processes based on observations and modeling study (a CALPUFF dispersion model). The MP emission concentrations were measured from 8 industrial source regions (tire plants (S1-S3), waste water disposal plant (S4), and oil refinery (S5) in an urban center area and paper mill/incineration plant (S6) and livestock feedlots (S7-S8) in Ungsang area) in Yangsan city during a fall period in 2008 (21 October 2008). Overall, the most MPs emitted from the urban center area were found to affect the malodor pollution in their downwind areas during early morning (06:00 LST) and nighttime (18:00 and 21:00 LST), compared with those in the Ungsang area. For malodor intensity, the most MPs in the urban center area (especially S1 and S2) were found to be a significant contributor, whereas $CH_3SH$ and $H_2S$ in the Ungsnag area (especially S6) were the dominant contributor. The model study showed agreement in the spatial distributions of simulated MPs with those of the observations. The largest impact of MPs in the urban center area on the malodor pollution in its residential areas occurred at S1, S2, and S3 sites during nighttime, while that of MPs in the Ungsang area occurred at S6 and S8 sites. This may be caused mainly by the high MP emissions and in part by wind conditions (prevailing northeasterly winds with low wind speeds of 2-3 m/s).

• 한국대기환경학회지
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• 제18권6호
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• pp.539-546
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• 2002

The physicochemical properties of solid wastes generated from seven highway service areas, four branch offices, and one construction site were analyzed in concert with air pollutants including heavy metals emitted from near-by small-scale incinerators. The amount of solid wastes generated from highway areas has been increasing with recent increases in the number of highways and passengers. Twelve incinerators examined in this study generally had capacity smaller than 100 kg/hr, most of which were equipped with cyclone for dust removal. It was seen that the concentrations of the gas-phase air pollutants (e.g., SO$_2$, NO$_{x}$, HCl and H$_2$S) were above the acceptable emission standards except one or two sites. CO concentrations at all incinerators were also higher due to incomplete combustion. In addition, particulate matters showed concentration six times higher at their maximum. The results of heavy metal analysis showed that the concentrations of Cu, Cd, and Ni satisfied the emission standards. whereas Pb at one site and Zn at five sites exceeded the standards. Cr measurement results indicated that 9 of 12 incinerators had higher values than the standard; especially one branch office showed nine times higher than normal concentration. In order to satisfy more stringent emission standards in the near future, it is necessary to install air pollution control system and to develop an intensified management plan.n.

• 한국조경학회지
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• 제42권6호
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• pp.31-38
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• 2014

이 연구는 경주역사유적지구를 대상으로 역사도시경주의 경쟁력을 좌우하는 도시의 매력요인들을 규명하기 위한 평가지표를 개발하고자 수행하였다. 이를 위해 역사문화 관광자원의 매력요인에 대한 선행연구와 UNESCO, ICOMOS 등이 정한 국제 기준을 검토하여 평가지표 후보군을 도출한 후 1차, 2차 전문가 조사를 실시하였으며, 조사 결과에 대한 중요도(M), 표준편차(SD), 내용타당도 지수(CVR), 합의도, 수렴도 등의 분석을 통하여 최종적으로 도시의 역사 문화적 영역, 유산자원적 영역, 환경적 영역 등 3가지 평가분야와 22개 평가지표가 선정되었다. 이들 지표는 역사도시의 매력을 제고하기 위한 유용한 기초자료가 될 것으로 판단된다. 따라서 역사도시 경주는 이들 지표를 바탕으로 매력도 평가를 실시하고, 평가 결과를 역사도시 관리에 적극적으로 이용할 필요가 있다.

• 한국방재안전학회논문집
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• 제14권3호
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• pp.39-49
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• 2021

고용노동부가 최근 발표한 '2020년 12월 말 산업재해 현황'에 따르면 산업별로 산업재해 대상이 되고 있다. 건설업별 사고사망자 수, 사고유형별 사고사망자 수, 사업장 규모별 사고사망자 수는 5~49명으로 소규모 건설현장에서 추락사고가 대부분 발생한 것으로 나타났다. 따라서 도시형 생활주택은 소규모 건설현장으로 낙상사고 발생 확률이 매우 높다. 재해 발생을 위한 가을 모의훈련은 공공부문의 대형 건설 발주기관 위주로 실시되며 소규모 건설현장에서 주택건설업체가 실시하는 것은 국내 최초다. 본 연구는 도시생활주택의 정의, 시공특성, 안전관리 실태 등을 분석·제시하고 추락사고 발생시 긴급구호절차 매뉴얼을 개발·확산하여 사망을 최소화하였다.

• Environmental Engineering Research
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• 제24권2호
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• pp.331-338
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• 2019

Particulate matter (PM) was collected using micro-orifice uniform deposit impactors from a residential (RES) site and an industrial (IND) site in Ulsan, South Korea, in September-October 2014. The PM samples were measured based on their size distributions (11 stages), ranging from $0.06{\mu}m$ to over $18.0{\mu}m$. Nine trace metals (As, Se, Cr, V, Cd, Pb, Ba, Sb, and Zn) associated with PM were analyzed. The PM samples exhibited weak bimodal distributions irrespective of sampling sites and events, and the mean concentrations of total PM (TPM) measured at the IND site ($56.7{\mu}g/m^3$) was higher than that measured at the RES site ($38.2{\mu}g/m^3$). The IND site also showed higher levels of nine trace metals, reflecting the influence of industrial activities and traffic emissions. At both sites, four trace metals (Ba, Zn, V, and Cr) contributed to over 80% of the total concentrations in TPM. The modality of individual trace metals was not strong except for Zn; however, the nine trace metals in $PM_{2.5}$ and $PM_{10}$ accounted for approximately 50% and 90% of the total concentrations in TPM, respectively. This result indicates that the size distributions of PM and trace metals are important to understand how respirable PM affects public health.

• Membrane and Water Treatment
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• 제10권1호
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• pp.45-55
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• 2019

Climate change has significantly affected the rainfall characteristics which can influence the pollutant build-up and wash-off patterns from the catchment. Therefore, this study explored the influence of varying rainfall characteristics on urban and agricultural runoff pollutant export using statistical approaches. For this purpose, Mann-Kendall and Pettitt's test were applied to detect the trend and breakpoint in rainfall characteristics time series. In addition, double mass curve and correlation analysis were used to drive the relationship between rainfall-runoff and pollutant exports from both catchments. The results indicate a significant decreased in total rainfall and average rainfall intensity, while a significant increased trend for antecedents dry days and total storm duration over the study periods. The breakpoint was determined to be 2013 which shows remarkable trend shifts for total rainfall, average rainfall intensity and antecedents dry days except total duration. Double mass curve exhibited a straight line with significant rainfall-runoff relationship indicates a climate change effect on both sites. Overall, higher pollutant exports were observed at both sites during the baseline period as compared to change periods. In agricultural site, most of the pollutants exhibited significant (p< 0.05) association with total rainfall, average rainfall intensity and total storm duration. In contrast, pollutants from urban site significantly correlated with antecedent dry days and average rainfall intensity. Thus, total rainfall, average rainfall intensity and total duration were the significant factors for the agricultural catchment while, antecedents dry days and average rainfall intensity were key factors in build-up and wash-off from the urban catchment.

• 대한토목학회논문집
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• 제42권2호
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• pp.263-272
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• 2022

폭염과 도시열섬현상은 기후변화가 진행됨에 따라 피해가 더욱 커지고 있으며, 2050년까지 폭염 발생빈도는 2~6배가 증가될 것으로 예측된다. 특히, 폭염기간동안 건설공사현장에서의 근로자가 느끼는 더위체감지수는 매우 높으며, 도시열섬현상까지 고려하게 되면 체감지수는 더욱 높아진다. 열에 취약한 건설현장 환경과 건설근로자의 상황은 나아지지 않고 있으며, 피해를 줄이기 위해서는 효과적인 대응이 필요한 시점이다. 본 연구에서는 인공위성영상 이미지와 Land Surface Temperature (LST)와 Long Short Term Memory (LSTM) 딥러닝 모델 기법을 적용하여 33℃ 이상 온도가 되는 지역을 분석하고, 폭염에 취약한 건설공사현장을 식별하여 폭염 및 도시열섬현상의 복합적인 피해를 가중시킬 수 있는 가장 취약한 지역을 예측하여 도출하였다. 예측 결과를 통해 건설근로자의 안전을 보장하고, 건설현장 경보시스템의 기반이 될 수 있기를 기대한다.