Journal of Environmental Impact Assessment 2021 KCI Impact Factor : 0.74

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pISSN : 1225-7184
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2020, Vol.29, No.4

  • 1.

    Suggestion of Risk Assessment Methodology by Chemical Accident Based on the Environmental and Residential Receptors

    Woo Soo Choi ORD ID , Minho Kim ORD ID , Jisung Ryu ORD ID and 1 other persons | 2020, 29(4) | pp.239~251 | number of Cited : 0
    Abstract PDF
    The Off-site Risk Assessment (ORA) for preventing chemical accidents estimates the chemical accident risk at chemical plants. The method of estimating the risk is made by multiplying the number of residents within the effect area of the chemical accident and the frequency of accidents at a chemical plant. At present, the ORA does not quantitatively consider environmental receptors when the damage types within the scope of the accident are environmental receptors. In order to solve this problem, this study proposes a method of estimating the risk considering resident and environmental receptors. Through these studies, it was confirmed that the ORA impact for the prevention of chemical accidents requires risk analysis considering environmental receptors in the medium and long term.
  • 2.

    Characteristics for Heavy Metal Pollution in Road Dust from Daebul Industrial Complex: Classification by Particle Size and Magnetic Separation

    Hyeryeong Jeong ORD ID , Jin-Young Choi ORD ID , Kongtae Ra ORD ID | 2020, 29(4) | pp.252~271 | number of Cited : 0
    Abstract PDF
    In this study, we investigated physical and chemical properties such as grain size, heavy metal pollution, magnetic properties, and their environmental impacts of road dusts (RD) collected from 14 sampling points in Daebul industrial Complex. Heavy metal concentrations in RD were in the order of Fe>Zn>Cu>Pb>Cr>Ni>As>Cd>Hg, and this pollution pattern was related to major industries and traffic activities in this area. The results of the correlation analysis between heavy metal elements and particle size in RD showed that Fe and all of analyzed heavy metals had a significant correlation with each other and metal concentrations had a significantly negative correlation (p<0.05). However, due to the input of large metal particles some heavy metal concentrations in the particle fraction of >1000 μm were highest. Pollution load per unit area of this fraction was the highest among the grain size fractions. Cr, Ni, Cu, Zn, Cd, Pb levels in RD decreased and the levels of Cr, Ni, Cu, Zn, Cd, and Pb were reduced to 85 (As) -22 (Ni)% of the whole after removal of MFs fraction from RD. The mean heavy metal levels in the study area did not exceed the soil contamination guide value of Korea, indicating that heavy metal levels in RD were not a concern. However, at some sampling points, Zn concentrations were exceeded the soil contamination guide value for the 3rd areas of Korea and this result indicated that further studies of the impact of RD on the surrounding environment through re-suspension or non-point pollution, and of effective management methods are required.
  • 3.

    A Study on Statistical Parameters for the Evaluation of Regional Air Quality Modeling Results – Focused on Fine Dust Modeling –

    Kim, Cheol-Hee ORD ID , Sang-Hyun Lee ORD ID , Min Jang ORD ID and 5 other persons | 2020, 29(4) | pp.272~285 | number of Cited : 2
    Abstract PDF
    We investigated statistical evaluation parameters for 3D meteorological and air quality models and selected several quantitative indicator references, and summarized the reference values of the statistical parameters for domestic air quality modeling researcher. The finally selected 9 statistical parameters are MB (Mean Bias), ME (Mean Error), MNB (Mean Normalized Bias Error), MNE (Mean Absolute Gross Error), RMSE (Root Mean Square Error), IOA (Index of Agreement), R (Correlation Coefficient), FE (Fractional Error), FB (Fractional Bias), and the associated reference values are summarized. The results showed that MB and ME have been widely used in evaluating the meteorological model output, and NMB and NME are most frequently used for air quality model results. In addition, discussed are the presentation diagrams such as Soccer Plot, Taylor diagram, and Q-Q (Quantile-Quantile) diagram. The current results from our study is expected to be effectively used as the statistical evaluation parameters suitable for situation in Korea considering various characteristics such as including the mountainous surface areas.
  • 4.

    Human Health Risk Assessment of Polycyclic Aromatic Hydrocarbons (PAHs) from Road Dust Sediments in Korea

    LEE GAIN ORD ID , KIMHONGKYOUNG ORD ID , Ji Seungmin ORD ID and 1 other persons | 2020, 29(4) | pp.286~297 | number of Cited : 0
    Abstract PDF
    This research studied human health risk assessment of PAHs (Polycyclic Aromatic Hydrocarbons) in road dust sediments collected from 6 sites in four different cities in Korea. PAHs are well known to be human carcinogens and toxic compounds that are commonly generated from incomplete combustion of fuels and energy products. Such compounds which is absorbed by atmospheric suspended dust can be emitted into air in gaseous form and often deposited on road dust sediments. The PAHs which is deposited on sediment particles can also be re-dispersed by vehicles or winds on the road surface. It can be harmful for humans when exposed via breathing, ingestion and dermal contact. This study examined human health risk assessment of PAHs in deposited road dust sediments. Results showed that the excess cancer risk estimates were above 1.0×10-6 at main traffic roads and resident area in Ulsan city. According to the result of deterministic risk assessment, dermal-contact was the major pathway, while the contribution of the risk from inhalation was less than 1%. The probabilistic risk assessment showed similar levels of cancer risk derived from the deterministic risk assessment. The result of sensitivity analysis reveal that exposure time is the most contributing factor (69%). Since the values of carcinogenic risk assessment were higher than 1.0 × 10-6, further detailed monitoring and refined risk assessment for PAHs may be required to identify more reliable and potential cancer risks for those who live in the study locations in Ulsan city.
  • 5.

    Habitat Suitability Assessment of the Saemangeum Lake Area for Eurasian Otter (Lutra lutra) and Correlation Analysis with Spatial Variables

    Hwa-yong Shin ORD ID , Gee-Hoon Shin ORD ID , Sungyong Han ORD ID and 2 other persons | 2020, 29(4) | pp.298~306 | number of Cited : 1
    Abstract PDF
    This study was conducted to examine the impact of the correlation between habitat suitability of the Saemangeum lake area for otters and spatial variables (watersides, wetlands, farmlands, urban areas, roads, etc.) on the inhabitation of otters. As a result of the habitat suitability analysis, it was found that 380grids of 1097 grids (34.6%) studied are most suitable and suitable, whereas 413 grids of 1097 grids (37.7%) of the total are marginal and unsuitable. Comparatively analyzing otter traces data against for each spatial variable in the Saemangeum area revealed that the distance to the road or man-made areas is directly proportional to the number of otter traces, while more traces of otters were found areas close to waters. Despite the impact from the internal construction of Saemangeum lake, there found 2 to 6 times more otter traces in the area farthest from the urban areas and roads compared to the area nearest to the urban areas and roads. Thus, when restoring habitats for otters, a minimum of 500(m) distance to roads or urban areas, which can be considered as a threat to the habitats, must be secured.