• Title/Summary/Keyword: Shiheung-City

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A Model to Support Spatial Decision Making for Selection of Ecotourism Sites in Urban and Regional Area (도시 및 지역의 생태관광지 선정을 위한 공간의사결정지원 평가모델)

  • Lee, Gwan-Gyu
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.12 no.2
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    • pp.50-60
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    • 2009
  • A spatial decision making process is needed when a local government tries to make polices and plans for eco-tourism in urban and regional site scale. This study aimed to suggest an assessment model to support spatial decision making on planning and making polices for eco-tourism. The model composes 6 stages of 'setting up ecogeographic territories'. 'value analysis method as ecotourism resources' 'synthetic assessing', 'grading values', 'selecting main resources for ecotourism' and 'spatial decision making support'. Applying the model to Shiheung city in Kyounggi province, validity was secured. By using the model, it was possible to make some decisions effectively such as selection of ecotourism resources, decision of the priorities of polices for ecotourism, and setting up the type of ecotourism to be introduced. In addition, by visualizing high valued resources and areas for ecotourism it w possible to support to make plans and policies effectively.

A study on the calculation of greenhouse gas emission in industry complex of Shiwha-banwol using the method of IPCC (IPCC 방법을 이용한 시화·반월 산업단지의 온실가스 배출량 산정 연구)

  • An, Jae-Ho
    • KIEAE Journal
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    • v.11 no.2
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    • pp.67-74
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    • 2011
  • Recently environmental regulations like the Kyoto Protocol, adopted in 1997, required the reduction of the greenhouse gas of 5.2% up to 1990's emissions and 13th General Assembly in 2007, held in Bali of India, have agreed to duty reduction even in developing countries in 2013. Korean government needs research on climate change and greenhouse gas management, such as carbon emissions calculation system and the introduction of greenhouse gas reduction program. Using Top-Down approach with method of IPCC, greenhouse gas emissions from energy, transportation, agriculture, land use and forest, and waste was calculated. Total amount from Shiheung-City in 2007 was about 3,299.581 tons of greenhouse gas $CO_2$. By sectors, the total greenhouse gas emissions in the energy sector mostly accounted for 78 percent, 12 percent from transportation, 6 percent of waste, the landuse/forest sector, 4% of the greenhouse gas emissions. Approximately 5,401,618 tons of the greenhouse gas $CO_2$ was total amount from Ansan-City in 2007. The share of energy sector greenhouse gas emissions was the highest portion of 79 % and 14 percent of transportation, 4% from the waste sector, 3 % from landuse/forest sector.

A Study on Reduction of Air Conditioning Energy Consumption by Surface Albedo Variation Using Meteorological Model (기상모델을 이용한 지표면 반사능에 따른 냉방에너지 소비 저감 연구)

  • AN, Jae-Ho
    • Journal of the Korean Solar Energy Society
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    • v.30 no.3
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    • pp.16-24
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    • 2010
  • Recently environmental regulations like the Kyoto Protocol, adopted in 1997, required the 5.2% reduction of the greenhouse gas emission in 1990. And 13th General Assembly in 2007, held in Bali of India, have agreed to duty reduction even in developing countries in 2013. Korean government needs the researches on climate change and the strategic programs for greenhouse gas reduction. In this paper Colorado State University Mesoscale Model(CSU-MM) was applied to simulate the relationship between surface albedo and air temperature. Meteorological model simulation in region of Ansan-City, Shiheung-City showed that mean air temperature became lower with the increase of albedo value. Simulated air temperature became lower $-0.16^{\circ}C$ and $-0.66^{\circ}C$ by 5% and 20% increase of albedo values respectively. And cooling energy saving amount in air conditioning process was calculated according to lowered air temperature. The reduction of air temperature resulted the reduction of air conditioning energy in personal house and commercial buildings. The increase of albedo from 5% to 20% resulted the reduction of air conditioning energy from 44,493 MWh/yr to 183,796 MWh/yr. Additionally the reduction of greenhouse gas emission through the energy saving was calculated after IPCC guideline. In terms of greenhouse gas emission $CO_2$ was reduced form -30,414 ton-$CO_2$/yr to -125,638 ton-$CO_2$/yr according to the reduction of electric energy.

Wind Corridor Analysis and Climate Evaluation with Biotop Map and Airborne LiDAR Data (비오톱 지도와 항공라이다 자료를 이용한 바람통로 분석 및 기후평가)

  • Kim, Yeon-Mee;An, Seung-Man;Moon, Soo-Young;Kim, Hyeon-Soo;Jang, Dae-Hee
    • Journal of the Korean Institute of Landscape Architecture
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    • v.40 no.6
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    • pp.148-160
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    • 2012
  • The main purpose of this paper is to deliver a climate analysis and evaluation method based on GIS by using airborne LiDAR data and Biotop type map and to provide spatial information of climate analysis and evaluation based on Biotop type Map. At first stage, the area, slope, slope length, surface, wind corridor function and width, and obstacle factors were analyzed to obtain cold/fresh air production and wind corridor evaluation. In addition, climate evaluation was derived from those two results in the second stage. Airborne LiDAR data are useful in wind corridor analysis during the study. Correlation analysis results show that ColdAir_GRD grade was highly correlated with Surface_GRD (-0.967461139) and WindCorridor_ GRD was highly correlated with Function_GRD (-0.883883476) and Obstacle_GRD (-0.834057656). Climate Evaluation GRID was highly correlated with WindCorridor_GRD (0.927554516) than ColdAir_GRD (0.855051646). Visual validations of climate analysis and evaluation results were performed by using aerial ortho-photo image, which shows that the climate evaluation results were well related with in-situ condition. At the end, we applied climate analysis and evaluation by using Biotop map and airborne LiDAR data in Gwangmyung-Shiheung City, candidate for the Bogeumjari Housing District. The results show that the aerial percentile of the 1st Grade is 18.5%, 2nd Grade is 18.2%, 3rd Grade is 30.7%, 4th Grade is 25.2%, and 5th Grade is 7.4%. This study process provided both the spatial analysis and evaluation of climate information and statistics on behalf of each Biotop type.