Journal of Environmental Impact Assessment 2021 KCI Impact Factor : 0.74

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pISSN : 1225-7184
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2015, Vol.24, No.2

  • 1.

    Statistical Analysis for Ozone Long-term Trend Stations in Seoul, Korea

    신혜정 , Jihoon Park , 손정석 and 2 other persons | 2015, 24(2) | pp.111~118 | number of Cited : 4
    Abstract PDF
    This study was conducted for the establishment of statistical method to determine the representative air quality monitoring station representing long-term ozone trends of Seoul. In this study, hourly ozone concentrations from 2002 to 2011 were used for further analysis. KZ-filter, correlation matrix, cluster analysis, and Kriging method were applied to select the representative station. The analysis based on correlation matrix found that long-term trend of ozone concentrations measured at Sinjung, Sadang, and Bun-dong showed a high correlation. The cluster analysis found that the former three stations belonged to the same cluster. The analysis based on Kriging method also showed that the former three stations were highly correlated with other stations in spatial distribution. Considering these results and the highest correlation coefficient of Sinjung station, the Sinjung station was the most suitable as the representative station used to understand the long-term ozone trend of Seoul. This result could be applied to understand long-term trend of other pollutants. Furthermore, this result can also be used to assess the appropriacy of spatial distribution of national air quality monitoring stations.
  • 2.

    Key Factors Influencing Low Impact Development Adoption by Local Governments

    Jeong, Moonsun , C.Theodore Koebel , M. Margaret Bryant | 2015, 24(2) | pp.119~133 | number of Cited : 3
    Abstract PDF
    The paper reports on exploratory research into the factors influencing adoption of low impact development (LID) regulations by local government. The research uses ten case studies ranging from low to high level adoption of LID in Virginia. Based on the theory of diffusion of innovations, perceived characteristics of LID, characteristics of the adopting local government, motivations of the adopter, and the surrounding organizational context of the adopter are chosen for the key factors influencing on LID adoption. By reviewing the local governments regulations related to stormwater management, meeting minutes, reports and documents, and in-depth interviews, the evaluation of the key factors and the local LID adoption was conducted. As a result, adopters with a high level of LID adoption at the time of the study were heavily influenced by champions of LID within local government and communities. In contrast, moderate level adopters and low-level adopters emphasized the importance of external forces like state regulatory mandates and the need for clear models to implement.
  • 3.

    Urban Climate Impact Assessment Reflecting Urban Planning Scenarios - Connecting Green Network Across the North and South in Seoul -

    Hyuk-Gi Kwon , 양호진 , Chaeyeon YI and 2 other persons | 2015, 24(2) | pp.134~153 | number of Cited : 6
    Abstract PDF
    When making urban planning, it is important to understand climate effect caused by urban structural changes. Seoul city applies UPIS(Urban Plan Information System) which provides information on urban planning scenario. Technology for analyzing climate effect resulted from urban planning needs to developed by linking urban planning scenario provided by UPIS and climate analysis model, CAS(Climate Analysis Seoul). CAS develops for analyzing urban climate conditions to provide realistic information considering local air temperature and wind flows. Quantitative analyses conducted by CAS for the production, transportation, and stagnation of cold air, wind flow and thermal conditions by incorporating GIS analysis on land cover and elevation and meteorological analysis from MetPhoMod(Meteorology and atmospheric Photochemistry Meso-scale model). In order to reflect land cover and elevation of the latest information, CAS used to highly accurate raster data (1m) sourced from LiDAR survey and KOMPSAT-2(KOrea Multi-Purpose SATellite) satellite image(4m). For more realistic representation of land surface characteristic, DSM(Digital Surface Model) and DTM(Digital Terrain Model) data used as an input data for CFD(Computational Fluid Dynamics) model. Eight inflow directions considered to investigate the change of flow pattern, wind speed according to reconstruction and change of thermal environment by connecting green area formation. Also, MetPhoMod in CAS data used to consider realistic weather condition. The result show that wind corridors change due to reconstruction. As a whole surface temperature around target area decreases due to connecting green area formation. CFD model coupled with CAS is possible to evaluate the wind corridor and heat environment before/after reconstruction and connecting green area formation. In This study, analysis of climate impact before and after created the green area, which is part of ‘Connecting green network across the north and south in Seoul’ plan, one of the ‘2020 Seoul master plan’.
  • 4.

    Correlation of Urinary Hippuric Acid Concentration according to Occupational Exposure Level of Toluene and Worker’s Characteristics

    이귀영 , 신택수 , Hong Sangpyo and 1 other persons | 2015, 24(2) | pp.154~162 | number of Cited : 2
    Abstract PDF
    Correlation between occupational exposure levels to toluene and urinary hippuric acid (HA) concentrations were studied for 124 workers at 54 work places. The highest indoor toluene concentration measured at printing process was 81.116 ppm, and their geometric average concentration was as high as 12.304 ppm. The geometric average concentration of hippuric acid in urine samples from workers who are exposed to toluene was 0.714 g/g creatinine. This is almost five times higher than the average HA concentration from non-exposure workers. Printing workers showed the average HA concentration of 1.145 g/g creatinine from their urine samples. It is the highest concentration among the workers exposed to toluene. The correlation coefficient between HA concentrations in urine and indoor toluene concentration at work places was relatively high as r=0.624 (P<0.01). But the correlations of HA with sex, smoking, drinking, age and employment history was relatively low. We can express the regression equation for the urinary HA concentration which is Y = 0.037X + 0.562 as exposure toluene concentration is X. The urinary HA concentrations showed significantly increase depend on indoor toluene concentration at work place.
  • 5.

    An Analysis of the water balance of Low Impact Development Techniques According to the Rainfall Types

    유소현 , Lee, Dong Kun , Kim hyo-min and 1 other persons | 2015, 24(2) | pp.163~174 | number of Cited : 1
    Abstract PDF
    Urbanization caused various environmental problems like destruction of natural water cycle and increased urban flood. To solve these problems, LID(Low Impact Development) deserves attention. The main objective of LID is to restore the water circulation to the state before the development. In the previous studies about the LID, the runoff reduction effect is mainly discussed and the effects of each techniques of LID depending on rainfall types have not fully investigated. The objective of this research is to evaluate the effect of LID using the quantitative simulation of rainwater runoff as well as an amount of infiltration according to the rainfall and LID techniques. To evaluate the water circulation of LID on the development area, new land development areas of Hanam in South Korea is decided as the study site. In this research, hydrological model named STORM is used for the simulation of water balance associated with LID. Rainfall types are separated into two categories based on the rainfall intensity. And simulated LID techniques are green roof, permeable pavement and swale. Results of this research indicate that LID is effective on improvement of water balance in case of the low intensity rainfall event rather than the extreme event. The most effective LID technique is permeable pavement in case of the low intensity rainfall event and swale is effective in case of the high intensity rainfall event. The results of this study could be used as a reference when the spatial plan is made considering the water circulation.
  • 6.

    A Study on Riparian Habitats for Amphibians Using Habitat Suitability Model

    jeong seunggyu , 서창완 , 윤재현 and 2 other persons | 2015, 24(2) | pp.175~189 | number of Cited : 1
    Abstract PDF
    The objective of this study was to analyze characteristics of distribution of amphibian species and the affecting ecological factors. For the study, habitat environment factors were determined and applied to a habitat suitability model for the data collected from the Seom River in Hoengseong County and Wonju City, Gangwon Province, Korea between March 2013 to October 2013. The analyzed amphibian species were Rana nigromaculata, Hyla japonica, Rana dybowski, and Rana rugosa Temminck and Schlegel, and a logistic regression model was used with the pseudo-absence data. The result of the model analysis suggests that the major factors for Rana nigromaculata are distance to vegetation and rock and that for Hyla japonica is waterway. Rana dybowski and Rana rugosa Temminck and Schlegel have similar habitat characteristics, but the latter is shown to be dominant due to its wider habitat preference. According to the species richness model, the analyzed amphibian species are shown to have tendency to move between valleys or streams. This study quantitatively analyzed habitat environment characteristics using species distribution model, however, there is a limitation in terms of analysis on food factor and connectivity with other species. Combined with additional density or habitat analysis on birds or fish, this study can lead to more comprehensive analysis on biological environment factors.
  • 7.

    Quantification of Climate Change Vulnerability Index for Extreme Weather - Focused on Typhoon case -

    Kim, Cheol-Hee , Kipyo Nam , Jong-Jae, Lee | 2015, 24(2) | pp.190~203 | number of Cited : 3
    Abstract PDF
    VRI(Vulnerability-Resilience Index), which is defined as a function of 3 variables: climate exposure, sensitivity, and adaptive capacity, has been quantified for the case of Typhoon which is one of the extreme weathers that will become more serious as climate change proceeds. Because VRI is only indicating the relative importance of vulnerability between regions, the VRI quantification is prerequisite for the effective adaptation policy for climate in Korea. For this purpose, damage statistics such as amount of damage, occurrence frequency, and major damaged districts caused by Typhoon over the past 20 years, has been employed. According to the VRI definition, we first calculated VRI over every district in the case of both with and without weighting factors of climate exposure proxy variables. For the quantitative estimation of weighting factors, we calculated correlation coefficients (R) for each of the proxy variables against damage statistics of Typhoon, and then used R as weighting factors of proxy variables. The results without applying weighting factors indicates some biases between VRI and damage statistics in some regions, but most of biases has been improved by applying weighting factors. Finally, due to the relations between VRI and damage statistics, we are able to quantify VRI expressed as a unit of KRW, showing that VRI=1 is approximately corresponding to 500 hundred million KRW. This methodology of VRI quantification employed in this study, can be also practically applied to the number of future climate scenario studies over Korea.