• Title/Summary/Keyword: Urban Climate Change

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A Status of Atmospheric Environmental Impact Assessment and Future Prospects (대기환경영향평가 현황 및 향후 과제)

  • Koo, Youn-Seo;Choi, Dae-Ryun;Kim, Sung-Tae;Lee, Beom-Ku;Yu, Jung-Min;Lee, Seung-Hoon;Cheong, Chang-Yong;Lim, Jeong-Dae
    • Journal of Korean Society for Atmospheric Environment
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    • v.29 no.5
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    • pp.581-600
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    • 2013
  • The current status of atmospheric environmental impact assessment (EIA) has been summerized and future prospective for effective and accurate atmospheric EIA has been proposed by reviewing available papers and reports for the atmospheric EIA. The number of reports for the EIA in the EIA support system which is operated by the Korean Environmental Institute have been dramatically decreased from 282 reports in 2008 to 113 reports in 2012 during recent five years. This is partially due to simplification of the EIA procedure, the contraction of the public development and economic recession. We analyzed details of the EIA report to review how actual atmospheric EIA has preformed according to the EIA guidelines from the Korean Ministry of Environment. The 264 reports of EIA published in 2011 and 2012 had been reviewed especially focusing on the atmospheric evaluation items such as meteorology, air quality measurement and modeling, odor measurement and modeling, wind corridor in urban planning, and climate change. In overall sense, the atmospheric EIA has been performed quite well by abiding the guidelines except for local meteorological data measurement, permit standard for air quality and wind corridor. The new approaches to improve the procedure of atmospheric EIA and to reflect future of national air quality standard of $PM_{2.5}$ have been proposed. The guidelines on how to evaluate the wind corridor, to implement atmospheric EIA for $PM_{2.5}$ permit, and how to acquire local meteorological data by combining local measurement and model prediction are required for the effective and future oriented atmospheric EIA.

Development of the 3D simulation for disaster prevention in the downtown soil erosion (I) (도심지 토사재해 예방을 위한 3차원 시뮬레이션 개발(I))

  • Shin, Bong Jin;Youn, Sang Ho;Lee, Gi Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.408-417
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    • 2016
  • The frequent regional torrential or heavy rain and typhoon mostly caused by climate change has resulted in sediment disasters particularly in mountainous or hilly areas. More than 65% of South Korea is mountainous and development and rapid urbanization has brought lots of steep sloping industrial complexes, which are adjacent to cities. Such continuous urbanization and industrialization can result in an increase in serious damage to those places. Korea has very high population density so sediment disaster could result in a tremendous loss of property and life. A recent 10-year (2001~2010) study of the average annual loss shows 68 casualties and property loss of 1.7044 trillion Won(?), which indicates a 20% and 25% decrease for both life and property, respectively, but urban areas are experiencing increasing damage. In this paper, a comprehensive simulator composed by references, analyses, and the recent technologies was applied to visualize the scale of the damaged Woomyeon-san (Mt.) and verify the performance of the simulator.

Development of Thermal Comfort Evaluation Map by the Land Cover in Yeongnam Region (영남지역의 토지피복에 따른 열쾌적성평가도 구축)

  • Kang, Dong-Hyun;Choi, Chul-Hyun;Jung, Sung-Gwan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.2
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    • pp.136-155
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    • 2014
  • The purpose of this study is to analyze the thermal comfort in Yeongnam area using climatic data and GIS data in order to determine regions necessary to improve thermal environment policies. The results of the calculated PET show that Daegu city is high and Bonghwa-gun is low compared to other regions. PET was compared with the typical classification according to regional characteristics. As a result, PET value of rural areas such as Changnyeong-gun, Haman-gun and Goryeong-gun was high but Green space was too low compared to other rural areas. Yeongnam area was classified according to the value of PET using cluster analysis. As a result, more low grade areas show that green space ratio was low and facility area was high. It is determined that there is a relationship between thermal comfort and land cover. The thermal comfort evaluation map in Yeongnam area will be useful for urban planning in order to establish a sustainable city in climate change.

Establishment of location-base service(LBS) disaster risk prediction system in deteriorated areas (위치기반(LBS) 쇠퇴지역 재난재해 위험성 예측 시스템 구축)

  • Byun, Sung-Jun;Cho, Yong Han;Choi, Sang Keun;Jo, Bong Rae;Lee, Gun Won;Min, Byung-Hak
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.570-576
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    • 2020
  • This study uses beacons and smartphone Global Positioning System (GPS) receivers to establish a location-based disaster/hazard prediction system. Beacons are usually installed indoors to locate users using triangulation in the room, but this study is differentiated from previous studies because the system is used outdoors to collect information on registration location and temperature and humidity in hazardous areas. In addition, since it is installed outdoors, waterproof, dehumidifying, and dustproof functions in the beacons themselves are required, and in case of heat and humidity, the sensor must be exposed to the outside, so the waterproof function is supplemented with a separate container. Based on these functions, information on declining and vulnerable areas is identified in real time, and temperature/humidity information is collected. We also propose a system that provides weather and fine-dust information for the area concerned. User location data are acquired through beacons and smartphone GPS receivers, and when users transmit from declining or vulnerable areas, they can establish the data to identify dangerous areas. In addition, temperature/humidity data in a microspace can be collected and utilized to build data to cope with climate change. Data can be used to identify specific areas of decline in a microspace, and various analyses can be made through the accumulated data.

A Study on the Calculation of GHG Emissions from General Ships by Tier3 Method (일반선박의 Tier3 수준의 온실가스 배출량 산정에 관한 연구)

  • Bong, Choon-Keun;Park, Seong-Jin;Kim, Yong-Gu;Lee, Im-Hack;Lee, Hee-Kwan;Hwang, Ui-Hyun
    • Journal of Korean Society of Environmental Engineers
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    • v.33 no.10
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    • pp.701-708
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    • 2011
  • In this study, the emissions of GHG from general ships were calculated by Tier1 method based on the fuel consumption, and by Tier3 method based on the activities data such as power and SFOC of each engine, sailing characteristics (e.g. time and load factor, etc.) considering the ship type. In 2009, the emissions of GHG by Tier1 and Tier3 method were appeared 28.27 mega-ton $CO_{2eq}$ and 30.81 mega-ton $CO_{2eq}$. The emissions by Tier3 were slightly more than those by Tier1. We found that the values of the sailing characteristics for surveyed data are overestimated slightly. In the near future, more detailed researches for sailing characteristics considering ship types would be needed for sailing, anchoring, and berthing condition, etc.

The Analysis of Evergreen Tree Area Using UAV-based Vegetation Index (UAV 기반 식생지수를 활용한 상록수 분포면적 분석)

  • Lee, Geun-Sang
    • Journal of Cadastre & Land InformatiX
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    • v.47 no.1
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    • pp.15-26
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    • 2017
  • The decrease of green space according to the urbanization has caused many environmental problems as the destruction of habitat, air pollution, heat island effect. With interest growing in natural view recently, proper management of evergreen tree which is lived even the winter season has been on the rise importantly. This study analyzed the distribution area of evergreen tree using vegetation index based on unmanned aerial vehicle (UAV). Firstly, RGB and NIR+RG camera were loaded in fixed-wing UAV and image mosaic was achieved using GCPs based on Pix4d SW. And normalized differences vegetation index (NDVI) and soil adjusted vegetation index (SAVI) was calculated by band math function from acquired ortho mosaic image. validation points were applied to evaluate accuracy of the distribution of evergreen tree for each range value and analysis showed that kappa coefficient marked the highest as 0.822 and 0.816 respectively in "NDVI > 0.5" and "SAVI > 0.7". The area of evergreen tree in "NDVI > 0.5" and "SAVI > 0.7" was $11,824m^2$ and $15,648m^2$ respectively, that was ratio of 4.8% and 6.3% compared to total area. It was judged that UAV could supply the latest and high resolution information to vegetation works as urban environment, air pollution, climate change, and heat island effect.

Study of Biomass Estimation in Forest by Aerial Photograph and LiDAR Data (항공사진과 Lidar 데이터를 이용한 산림지역의 바이오매스 추정에 관한 연구)

  • Chang, An-Jin;Kim, Hyung-Tae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.3
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    • pp.166-173
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    • 2008
  • Recently, problem of earth environment being attended with international issue, people are concerned about the environmentally-friendly and renewable biomass energy. Especially, the forest biomass is more important because Korea have to control carbon footprint for Kyoto Protocol and Convention on Climate Change. In case of Korea, forest area covers the land about 2/3 of all country. It is needed that more economical and efficient method to estimate the biomass by remote sensing data which include wide coverage and is progressed by one-step. In this study, we estimate forest biomass with LiDAR data and aerial photograph. Three biomass equation is used and estimate mean biomass of single tree and entire biomass in plots. The results are compared with field data. $R^2$ of the mean biomass of single tree is greater than 0.8 and that of entire biomass in plots is greater than 0.65. In conclusion, the method using remote sensing data is verified more economical and efficient than previous field data method.

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A Study on Analysis of Landslide Disaster Area using Cellular Automata: An Application to Umyeonsan, Seocho-Gu, Seoul, Korea (셀룰러 오토마타를 이용한 산사태 재난지역 분석에 관한 연구 - 서울특별시 서초구 우면산을 대상으로-)

  • Yoon, Dong-Hyeon;Koh, Jun-Hwan
    • Spatial Information Research
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    • v.20 no.1
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    • pp.9-18
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    • 2012
  • South Korea has many landslides caused by heavy rains during summer time recently and the landslides continue to cause damages in many places. These landslides occur repeatedly each year, and the frequency of landslides is expected to increase in the coming future due to dramatic global climate change. In Korea, 81.5% of the population is living in urban areas and about 1,055 million people are living in Seoul. In 2011, the landslide that occurred in Seocho-dong killed 18 people and about 9% of Seoul's area is under the same land conditions as Seocho-dong. Even the size of landslide occurred in a city is small, but it is more likely to cause a big disaster because of a greater population density in the city. So far, the effort has been made to identify landslide vulnerability and causes, but now, the new dem and arises for the prediction study about the areal extent of disaster area in case of landslides. In this study, the diffusion model of the landslide disaster area was established based on Cellular Automata(CA) to analyze the physical diffusion forms of landslide. This study compared the accuracy with the Seocho-dong landslide case, which occurred in July 2011, applying the SCIDDICA model and the CAESAR model. The SCIDDICA model involves the following variables, such as the movement rules and the topographical obstacles, and the CAESAR model is also applied to this process to simulate the changes of deposition and erosion.

A Review of U.S. Renewable Energy Expansion and Support Policies (미국의 재생 에너지 확대 및 지원정책 연구)

  • Kim, Chu
    • Land and Housing Review
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    • v.9 no.2
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    • pp.41-50
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    • 2018
  • The purpose of this study is to review the U.S. renewable energy policies implemented by the federal government and the state governments to investigate potential barriers of renewable energy expansion and to develop policy implications for the successful renewable energy policy making in Korea. Recently, the restructuring in the energy supply chain has been being a new trend in many countries that shows a transition from traditional fossil fuels to sustainable renewable energy sources. The United States has enforced effective renewable energy policies (i.e., regulatory policies, financial incentives), which have led to the exploding growth of renewable energy facilities and productions over the last ten years. For example, many state governments in the U.S. are implementing Renewable Portfolio Standard (RPS) policies that require increased energy supply from renewable energy sources (i.e., solar, wind and geothermal). These RPS policies are expected to account for at least 10-50 percent of total electricity production in the next fifteen years. As part of results, in the recent three years, renewable energy in the U.S provided over 50 percent of total new power generation constructions. On the other hand, Korea initiated to develop climate change policies in 2008 for the Green Growth Policy that set up a target reduction of national Greenhouse Gas (GHG) emissions up to 37 percent by 2025. However, statistical data for accumulated renewable energy capacity refer that Korea is still in its early stage that contribute to only 7 percent of the total electricity production capacity and of which hydroelectric power occupied most of the production. Thus, new administration in Korea announced a new renewable energy policy (Renewable Energy 3020 Plan) in 2017 that will require over 95 percent of the total new generations as renewable energy facilities to achieve up to 20 percent of the total electricity production from renewable energy sources by 2030. However, to date, there have not been enough studies to figure out the barriers of the current policy environment and to develop implications about renewable energy policies to support the government plan in Korea. Therefore, this study reviewed the U.S. renewable energy policies compared with Korean policies that could show model cases to introduce related policies and to develop improved incentives to rapidly spread out renewable energy facilities in Korea.

Analysis of Effect of Ditch Restoration on Soil Loss Reduction in Highland Agricultural Fields (고랭지밭의 구거복원에 따른 토양유실저감 효과분석)

  • Sung, Yunsoo;Kim, Dong Jin;Lee, Suin;Ryu, Jichul;Kim, Jonggun;Lim, Kyoung Jae;Kim, Ki Sung
    • Journal of Korean Society on Water Environment
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    • v.36 no.5
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    • pp.385-391
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    • 2020
  • Soil loss is a serious problem frequently caused by local torrential rainfalls due to climate change. In particular, soil loss is occurring in agricultural areas rather than urban areas, and many pollutants are introduced into rivers, causing environmental problems. To reduce soil loss, the Ministry of Environment has designated and managed non-point source management areas. The Jaun-district in Hongcheon-gun, which was designed as a non-point pollution source management area in Gangwon-do, is located in the upper stream of Soyang Lake. Most of the agricultural fields are composed of highland agriculture fields. The highland agricultural fields in the Jaun-district are also composed of large-scale farming areas, and the ditches located near the agricultural fields have been illegally used for farmland. Therefore, the local government in Hongcheon-gun is conducting a project to restore the ditches occupied by agricultural fields. However, an analysis of the amount of soil loss that can be reduced by the restoration of the ditches has not been conducted yet. Thus, the purpose of this study was to analyze the effect of reducing the soil loss from the restoration of the ditches used as agricultural fields in the Jaun-district. The SATEEC L Module was used to analyze the reduction in soil loss by ditch restoration. The SATEEC L Module was constructed to estimate the LS factor using Moore and Burch's method after calculating the slope length using the digital elevation model and the maximum allowable slope length. The LS factor and the USLE formula were used to estimate the amount of soil loss that could be reduced by ditch restoration. The analysis showed that the ditch restoration could reduce about 16.6% of the soil loss in the Jaun-district. The results of this study will contribute to the study of methods to reduce soil loss in non-point pollution management areas.