Journal of Environmental Impact Assessment 2021 KCI Impact Factor : 0.74

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2018, Vol.27, No.5

  • 1.

    Distribution Characteristics of Platinum Group Elements in Roadside Dust from Daejeon, Korea

    Jongmyoung Lim , Jinhee Jeong , Lee, Jin-Hong | 2018, 27(5) | pp.405~416 | number of Cited : 0
    Abstract PDF
    In this research, the distribution of Platinum Group Elements (PGEs) at roadside dust in Daejeon, Korea was examined using an ICP-MS (Inductively Coupled Plasma-Mass Spectrometry) technique. For the quality assurance of the determination, method validation based on its accuracy and precision was conducted using SRM (Standard Reference Material). It was found that the relative errors of Pt, Pd, and Rh against each SRM value were -0.7%, -10.0%, and -20.4%, respectively, while relative standard deviations for three elements were less than 10%. The concentrations of Pt, Pd and Rh in roadside dust averaged as 17.4±9.2 μg/kg, 283.6±20.5 μg/kg, and 7.3±2.8 μg/kg, respectively. The concentrations of Pt and Rh have significantly higher distribution patterns in the dust at roadside and underground parking lot than those in soil of the background or other urban area. The correlation analysis between concentrations of PGEs in roadside dust indicates that the distribution of Pt and Rh concentration were strongly affected by automobile sources.
  • 2.

    Analysis on Ecosystem Service Hotspots Based on Regional Environmental Stakeholders’ Perception – A case study of Ansan –

    Ilkwon Kim , 김성훈 , Lee Jae-hyuck and 1 other persons | 2018, 27(5) | pp.417~430 | number of Cited : 2
    Abstract PDF
    Identification and mangement of ecosystem service hotspots are necessary to set environmental policies that include concepts of ecosystem service. Assessment and mapping of ecosystem service hotspot referring areas with high amount of ecosystem services provide essential information to manage ecosystem services effectively. Assessment of hotspots based on regional environmental stakeholders’ perception is an useful approach to identify priority areas where management practices are required. This study estimated weights on regulating ecosystem services from regional environmental stakeholders’ surveys in Ansan, and then, identified regulating service hotspots with weights. The result indicated that regulating services are, in order of importance, water quality, air quality, erosion, and climate control. The north-eastern forest of Ansan was mainly revealed as an ecosystem service hotspot. Ecosystem service hotspots were spatially distributed similarly regardless of environmental stakeholders’ weights. Identification of ecosystem service hotspot with environmental stakeholders’ perception can be applied in decision-support tools for ecosystem service management.
  • 3.

    Source Apportionment and Chemical Characteristics of Atmospheric PM2.5 in an Agricultural Area of Korea

    Jinhee Jeong , Jongmyoung Lim , Lee, Jin-Hong | 2018, 27(5) | pp.431~446 | number of Cited : 0
    Abstract PDF
    In this study, chemical characteristics of PM2.5 samples collected in an agricultural area in Nonsan of Korea were investigated focusing on of black carbon, 3 inorganic ions and 22 trace elements. It was found that the relative error and relative standard deviation of many trace elements fell below 10%, which indicates good analytical accuracy and precision. The mean values of PM2.5 in an agricultural area were exceeded by new Korean air quality standard of March 2018. The concentration of PM2.5 was well correlated with those of black carbon and ions. The concentrations of trace elements were in a wide range of seven orders of a magnitude. Based on these PM2.5 data sets, a total of 6 sources were identified using PMF (Positive Matrix Factorization; secondary aerosol (34.4%), soil/road dust (20.1%), biomass burning (16.9%), incineration/fuel combustion (13.2%), vehicle exhaust (12.2%), seasalt (3.17%). Results of our study indicate that it is very important to control illegal burning activities in agricultural area.
  • 4.

    Applicability of Various Interpolation Approaches for High Resolution Spatial Mapping of Climate Data in Korea

    JoAYeong , Jieun Ryu , Hye In Chung and 2 other persons | 2018, 27(5) | pp.447~474 | number of Cited : 2
    Abstract PDF
    The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification, respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.
  • 5.

    Comparative Evaluation of UAV NIR Imagery versus in-situ Point Photo in Surveying Urban Tributary Vegetation

    이정주 , 황영석 , Seong-Il Park and 1 other persons | 2018, 27(5) | pp.475~488 | number of Cited : 0
    Abstract PDF
    Surveying urban tributary vegetation is based mainly on field sampling at present. The tributary vegetation survey integrating UAV NIR (Unmanned Aerial Vehicle Near Infrared Radiance) imagery and in-situ point photo has received only limited attentions from the field ecologist. The reason for this could be the largely undemonstrated applicability of UAV NIR imagery by the field ecologist as a monitoring tool for urban tributary vegetation. The principal advantage of UAV NIR imagery as a remote sensor is to provide, in a cost-effective manner, information required for a very narrow swath target such as urban tributary (10m width or so), utilizing very low altitude flight, realtime geo-referencing and stereo imaging. An exhaustive and realistic comparison of the two techniques was conducted, based on operational customer requirement of urban tributary vegetation survey: synoptic information, ground detail and quantitative data collection. UAV NIR imagery made it possible to identify area-wide patterns of the major plant communities subject to many different influences (e.g. artificial land use pattern), which cannot be acquired by traditional field sampling. Although field survey has already gained worldwide recognition by plant ecologists as a typical method of urban tributary vegetation monitoring, this approach did not provide a level of information that is either scientifically reliable or economically feasible in terms of urban tributary vegetation (e.g. remedial field works). It is anticipated that this research output could be used as a valuable reference for area-wide information obtained by UAV NIR imagery in urban tributary vegetation survey.
  • 6.

    Analysis of Future Bioclimatic Zones Using Multi-climate Models

    Yuyoung Choi , Lim,Chul-Hee , Jieun Ryu and 1 other persons | 2018, 27(5) | pp.489~508 | number of Cited : 1
    Abstract PDF
    As climate changes, it is necessary to predict changes in the habitat environment in order to establish more aggressive adaptation strategies. The bioclimatic classification which clusters of areas with similar habitats can provide a useful ecosystem management framework. Therefore, in this study, biological habitat environment of Northeast Asia was identified through the establishment of the bioclimatic zones, and the impac of climate change on the biological habitat was analyzed. An ISODATA clustering was used to classify Northeast Asia (NEA) into 15 bioclimatic zones, and climate change impacts were predicted by projecting the future spatial distribution of bioclimatic zones based upon an ensemble of 17 GCMs across RCP4.5 and 8.5 scenarios for 2050s, and 2070s. Results demonstrated that significant changes in bioclimatic conditions can be expected throughout the NEA by 2050s and 2070s. The overall zones moved upward, and some zones were predicted to be greatly expanded or shrunk where we suggested as regions requiring intensive management. This analysis provides the basis for understanding potential impacts of climate change on biodiversity and ecosystem. Also, this could be used more effectively to support decision making on climate change adaptation
  • 7.

    Analysis on the Characteristics of PM10Variation over South Korea from 2010 to 2014 using WRF-CMAQ: Focusing on the Analysis of Meteorological Factors

    Kipyo Nam , Dae-gyun Lee , Jihoon Park | 2018, 27(5) | pp.509~520 | number of Cited : 1
    Abstract PDF
    The impact of meteorological condition on surface PM10 concentrations in South Korea was quantitatively simulated from 2010 to 2014 using WRF (ver.3.8.1) and CMAQ (5.0.2) model. The result showed that seasonal standard deviations of PM10 induced by change of weather conditions were 4.8 μg/m3, 1.7 μg/m3, 1.7 μg/m3, 4.2 μg/m3 for spring, summer, autumn and winter compared to 2010, respectively, with the annual mean standard deviation of about 2.6 μg/m3. The results of 18 regions in South Korea showed standard deviation of more than 1 μg/m3 in all regions and more than 2 μg/m3 in Seoul, Northern Gyeonggi, Southern Southern Gyeonggi, Western Gangwon and Northern Chungcheong in South Korea.