Journal of Environmental Impact Assessment 2021 KCI Impact Factor : 0.74

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2006, Vol.15, No.4

  • 1.

    Estimation of fugitive dust emission and impact assessment in constructing the New Port by reclamation of sea sand

    OH,KWANG-JOONG , Wonjoon Choi , 조기철 and 3 other persons | 2006, 15(4) | pp.237~247 | number of Cited : 2
    Abstract PDF
    In case of studied area located around the sea, the data measured from the regionalmeteorological office is highly different from the local weather data because the diffusivity offugitive dust varies considerably with meteorological conditions. Especially, it is very difficultto predict the amount of fugitive dust accurately as wind speed remains high frequently. In thisconsider the effect of wind speed on the amount of fugitive dust generated from thereclamation site. The amount of fugitive dust estimated as mentioned above was simulated byusing ISCST3 model. As a result, in case of using only the Fugitive Dust Formula which isusually used in Environment Impact Assessment, the predicted PM10 concentrations withpoints were 43.4~67.8mg/m 3particulates, the predicted values of PM10 with points were 43.3~69.1mg/m 3, 49.5~90.4mg/m 3and 76.0~182.6mg/m 3 with the wind speeds of 4.4, 5.8 and 7.7m/s, respectively. It could bepossible to predict the amount of fugitive dust accurately because these predicted values werefugitive dust in this area damaged by fugitive dust which is caused by wind.
  • 2.

    ?Comparative Study on General Circulation Model and Regional Climate Model for Impact Assessment of Climate Changes

    Lee, Dong Kun , Huicheul Jung , 김재욱 | 2006, 15(4) | pp.249~257 | number of Cited : 3
    Abstract PDF
    Impacts of global warming have been identified in many areas including natural ecosystem.A good number of studies based on climate models forecasting future climate have beenconducted in many countries worldwide. Due to its global coverage, GCM, which is a mostfrequently used climate model, has limits to apply to Korea with such a narrower andchanges with a climate model fully reflecting characteristics of Korean climate. In this respect,this study was designed to compare and analyze the GCM and RCM in order to determine asuitable climate model for Korea.In this study, spatial scope was Korea for 10 years from 1981 to 1990. As a research method,current climate was estimated on the basis of the data obtained from observation at the GHCN.Future climate was forecast using 4 GCMs furnished by the IPCC among SRES A2 Scenario asfor the purpose of comparing data obtained from observation with GCM and RCM.As a result of this study, average annual temperature of Korea between 1981 and 1990 wasfound to be around 12.03˚C, with average daily rainfall being 2.72mm. Under the GCM,average annual temperature was between 10.22 and 16.86℃, with average daily rainfallCorresponding Author: Jae-Uk Kim, Graduate School of Environmental Studies, Seoul National University, San 56-1, Shillim-dong, Gwanak-gu, Seoul, 151-742, Korea Tel: 82-2-880-4885 E-mail: japa95@hanmail.net
  • 3.

    A Basic Study on the Relationship between the Environmental Characteristics and Turbidity Generation in Jaun Watershed

    Ham, Kwang-Jun , Bae Sunhak , Kim Joon Hyun and 2 other persons | 2006, 15(4) | pp.259~270 | number of Cited : 2
    Abstract PDF
    The purpose of this study is to understand the relation between the land use status inwatersheds and stream turbidity. Major water quality components (flow rate, turbidity, SS,BOD, TN, TP, etc.) of two streams (Jaun and Naerin) and the land use status for eachoverlaying of land use and watershed map. The detailed results of this study showed that;turbidity has been increased rapidly from 1.9 to 13.0 NTU for Jaun Stream, 0.4 to 0.7 NTU forNaerin Stream, due to the increased flow rate during the period of June. The agricultural area ofthe Jaun watershed was 13.5km2 (10.1% of the overall watershed), comparing to 2.0km2(1.4%)of upper watershed of Naerin stream. The forest was widely distributed along the 30mbuffering zone from the center of Naerin stream, which comprised 64.14% of the wholewatershed area. But in case of the Jaun, the ratio of forest was 17.84%, while the ratio of farmingfield was 30.33%.
  • 4.

    Study about the applicable plan of GIS on range of magnetic field emitted from 60 Hz Powerline

    Hong Seung Cheol , 최성호 , YOON-SHIN KIM and 1 other persons | 2006, 15(4) | pp.271~277 | number of Cited : 2
    Abstract PDF
    In this study, we investigated the applicable plan of GIS on the environmental impactassessment of 60 Hz Powerline. So we assessed distance data based on calculations by use of 2Dand 3D Geographical information systems(GIS) and distance data based on measurements on 1:5000 maps accord with on site distance measurements to use input data for calculatingresidences. The data were achieved by measuring the distance between residence and powerline on maps with scales of 1: 5000. The digital map wasobtained from National GeographicInformation Institute with scales of 1: 5000, and we made 2D and 3D map. Correlation analyseswere performed for statistical analyses. For the 3D GIS versus on site comparison of differentfor 2D GIS versus on site comparison, 71 of 108 were correctly categorized. When comparingmap measurement with on site measurement, 62 of 108 were correctly categorized. When the
  • 5.

    A Study on the Development of Eco-friendly Environmental Indicators for Saemangeum Project

    Je-hong Ryu , Sang Hoon Lee , 구자건 | 2006, 15(4) | pp.279~288 | number of Cited : 2
    Abstract PDF
    Saemangeum reclamation project was started in 1991 with the purpose of eco-friendlyreclamation, but without clear definition of eco-friendliness. This study was carried out to findout the environmental indicators to define and evaluate the eco-friendliness of Saemangeumproject. The methodology to identify the indicators included the analysis of similar reclamationprojects, professional discussions, and Delphi survey.resource consumption, 2) energy consumption, 3) pollution emission, 4) bio-diversity, 5) socialamenity. The 69 indicators were explained in detail for the convenient use of the indicators bythe potential users. The 69 indicators were classified into three categories such as pre-evaluation, process evaluation, and post-evaluation. In terms of spatial consideration, the 69indicators were classified into two categories such as direct influence area and indirect influencearea. Also the 69 indicators were classified into 7 categories: 1) sea, 2) lake, 3) agricultural landuse, 4) industrial land use, 5) residential land use, 6) tourism land use, and 7) environmentalland use. Twenty core indicators were selected from the 69 indicators by surveying theimportance of each indicator. The core indicators are recommended in case of time and budgetstrain.Corresponding Author: Jae-Hong Ryu, City Environmental Design Institute, Dong-Eui University Cell Phone: 016-577-8645E-mail: umegaoka@hanmail.net