• Title/Summary/Keyword: climate change assessment

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Paper Recycling of South Korea and its Effects on Greenhouse Gas Emission Reduction and Forest Conservation

  • Cha, Junhee;YOUN, Yeo-Chang
    • Journal of Korean Society of Forest Science
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    • v.97 no.5
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    • pp.530-539
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    • 2008
  • The study evaluates the greenhouse gas (GHG) reduction potential of paper recycling by paper industry in South Korea and determines the positive impact on global warming by conserving the world's forests through decreasing pulp wood use. South Korea is one of the leading countries in the world thai recycle papers with a collection rate of 71.8 percent and a recycling rate of 74.4 percent in 2005. Greenhouse gas emission reduction potential in terms of carbon dioxide ($CO_2$) equivalent from paper recycling was assessed scientifically by the use of Life Cycle Assessment (LCA). Three types of papers including newsprint, container-board, and white-board were used for assessment in this study. Results of this study indicate that $CO_2$ emission reduction potential of recycling paper varies according to its types and recycling rates. Greenhouse gas emission reduction factor of 0.74869 $tCO_2$ per ton of recycled paper was derived from this study. In applying this factor. it was found out that the South Korean paper industry reduced GHG emission of around 6,364,550 $tCO_2$ by recycling paper in 2005. With this. the country's paper industry could claim that by recycling in thai particular year. approximately $23.8million\;m^3$ of woods were not harvested and thus 212,500 ha of world's forests were estimated to be saved in that particular year. Overall. it could be concluded that the Korean paper industry was able to reduce $CO_2$ emission and was able to conserve world's forests by its high rates of paper recycling.

A Study on Establishing Green Port based on Eco-Ship Assessment Scheme (친환경 선박 평가 제도를 통한 그린포트 구축 연구)

  • Kim, Jin-Hyung;Chun, Kang-Woo;Lee, Jung-Yup;Lee, Hyun-Ju
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.06a
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    • pp.203-204
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    • 2014
  • As the marine environment is becoming more important with growing demand for the marine transport due to the globalization, some advanced ports have made efforts to establish Green Port to protect the marine environment. The Korean ports as the world's fifth ranked country have also made efforts to establish Green Port but most efforts are focused on hardware aspects such as renewable energy generation, installation of AMP and fuel conversion of port facilities. The purpose of this study is to develop Eco-Ship assessment scheme for Green Port in a software aspect and present measures to improve global green-competitiveness of Korean ports through diversification of their efforts for Green Port.

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An impact of meteorological Initial field and data assimilation on CMAQ ozone prediction in the Seoul Metropolitan Area during June, 2007 (기상 모델의 초기장 및 자료동화 차이에 따른 수도권 지역의 CMAQ 오존 예측 결과 - 2007년 6월 수도권 고농도 오존 사례 연구 -)

  • Lee, Dae-Gyun;Lee, Mi-Hyang;Lee, Yong-Mi;Yoo, Chul;Hong, Sung-Chul;Jang, Kee-Won;Hong, Ji-Hyung
    • Journal of Environmental Impact Assessment
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    • v.22 no.6
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    • pp.609-626
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    • 2013
  • Air quality models have been widely used to study and simulate many air quality issues. In the simulation, it is important to raise the accuracy of meteorological predicted data because the results of air quality modeling is deeply connected with meteorological fields. Therefore in this study, we analyzed the effects of meteorological fields on the air quality simulation. This study was designed to evaluate MM5 predictions by using different initial condition data and different observations utilized in the data assimilation. Among meteorological scenarios according to these input data, the results of meteorological simulation using National Centers for Environmental Prediction (Final) Operational Global Analysis data were in closer agreement with the observations and resulted in better prediction on ozone concentration. And in Seoul, observations from Regional Meteorological Office for data assimilations of MM5 were suitable to predict ozone concentration. In other areas, data assimilation using both observations from Regional Meteorological Office and Automatical Weather System provided valid method to simulate the trends of meteorological fields and ozone concentrations. However, it is necessary to vertify the accuracy of AWS data in advance because slightly overestimated wind speed used in the data assimilation with AWS data could result in underestimation of high ozone concentrations.

An Estimation of Amount of Damage Using the 3-second Gust When the Typhoon Attack (태풍 내습 시 3-second gust를 이용한 피해액 산정)

  • Jung, Woo-Sik;Park, Jong-Kil;Choi, Hyo-Jin
    • Journal of Environmental Science International
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    • v.19 no.3
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    • pp.353-363
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    • 2010
  • The most efficient measures to reduce damage from natural disasters include activities which prevent disasters in advance, decrease possibility of disasters and minimize the scale of damage. Therefore, developing of the risk assessment model is very important to reduce the natural disaster damage. This study estimated a typhoon damage which is the biggest damage scale among increased natural disasters in Korea along with climate change. The results of 3-second gust at the height of 10m level from the typhoon 'Maemi' which did considerable damage to Korean in 2003, using the wind data at the height of 700 hPa. September 12th 09 LST~13th 12 LST period by the time a typhoon Maemi approached to the Korean peninsula. This study estimate damage amount using 'Fragility curve' which is the damage probability curve about a certain wind speed of the each building component factors based on wind load estimation results by using 3-second gust. But the fragility curve is not to Korea. Therefore, we use the fragility curves to FPHLM(FDFS, 2005). The result of houses damage amount is about 11 trillion 5 million won. This values are limit the 1-story detached dwelling, $62.51\sim95.56\;m^2$ of total area. Therefore, this process is possible application to other type houses.

Prediction of Heating and Cooling Energy Consumption in Residential Sector Considering Climate Change and Socio-Economic (기후변화와 사회·경제적 요소를 고려한 가정 부문 냉난방 에너지 사용량 변화 예측)

  • Lee, Mi-Jin;Lee, Dong-Kun;Park, Chan;Park, Jin-Han;Jung, Tae-Yong;Kim, Sang-Kyun;Hong, Sung-Chul
    • Journal of Environmental Impact Assessment
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    • v.24 no.5
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    • pp.487-498
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    • 2015
  • The energy problem has occurred because of the effects of rising temperature and growing population and GDP. Prediction for the energy demand is required to respond these problems. Therefore, this study will predict heating and cooling energy consumption in residential sector to be helpful in energy demand management, particularly heating and cooling energy demand management. The AIM/end-use model was used to estimate energy consumption, and service demand was needed in the AIM/end-use model. Service demand was estimated on the basis of formula, and energy consumption was estimated using the AIM/end-use model. As a result, heating and cooling service demand tended to increase in 2050. But in energy consumption, heating decreased and cooling increased.

Estimation of Carbon Uptake for Urban Green Space: A Case of Seoul (도시 녹지 가치 평가를 위한 탄소 흡수량 추정 - 서울시를 대상으로 -)

  • Lee, Dong-Kun;Park, Jin-Han;Park, Chan
    • Journal of Environmental Impact Assessment
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    • v.19 no.6
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    • pp.607-615
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    • 2010
  • Urban green space is often at the centre of the debate on urban substantiality because it provides functions of space, e.g. for wildlife, recreation, growing vegetables, psychological wellbeing, social interaction, etc. Traditionally, the various functions of urban green spaces clearly show that green spaces contain important values that contribute to the overall quality of urban life. After Kyoto protocol, it has becoming important to more accurately evaluate carbon uptake by urban green space. Many studies have analyzed the benefits, costs, and carbon storage capacity associated with urban green space. These studies have been limited by a lack of research on urban tree biomass and carbon uptake by soil, such that estimates of carbon storage in urban systems. This study calculate more accurately the amount of carbon uptake by urban green space. This study also complement the existing methods to estimate the urban green space carbon uptake. It has been studied how to evaluate carbon uptake function of urban green space. The surface area of urban green space increased 5% by complemented method and carbon uptake is also increased. Based on this result, the carbon uptake per capita was analysed and compared to the area of carbon uptake. And this study discussed the reasons for the differences between the new and earlier estimates, as well as implications for our understanding of the global carbon cycle. In conclusion, these results could contribute as preliminary data to policy makers when climate change adaptation strategy is established.

Air quality modeling guideline for national air policy development and evaluation - Part I General information - (국가 대기정책수립 및 평가를 위한 대기질 모델링 가이드라인 - Part I 일반 사항 -)

  • Lee, Dae-Gyun;Lee, Yong-Mi;Lee, Mi-Hyang;Hong, Sung-Chul;Hong, Ji-Hyung
    • Journal of Environmental Impact Assessment
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    • v.22 no.5
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    • pp.537-546
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    • 2013
  • In the Seoul Metropolitan Area(SMA) photochemical air pollutants, nitrogenic compound and particulate matters have increased substantially due to mobile sources, power plants and so on. Therefore 'Special Act on Seoul Metropolitan Air Quality Improvement' was enacted on 2003 in order to improve air quality in the SMA. According to the Special Act, Central and local government have developed the state implementation plan(SIP) to reduce air pollutant emissions from various local sources. One of the key elements of the SIP development is the air quality modeling since modeling results can be used to establish emissions control strategies as well as to demonstrate attainment of air quality goals for ozone, particulate matter, and so on. Air quality modeling, therefore, can be usefully utilized to investigate the effects of government's efforts according to control strategies or measures. Using the air quality model, we can determine whether the implementation plan should be revised or not. A number of questions, however, has been raised concerning accuracy, consistency and transparency of modeling results because if we do not trust modeling results, all the measures dependent on modeling becomes in vain. So, without dealing with these questions, we can not guarantee the reliability and utilizability of air quality modeling results. In this study, we tried to establish standard methodology for air quality modeling in order to ensure consistency and transparency of modeling results used in the development and evaluation of national air policy. For this purpose, we established air quality modeling guideline to provide or recommend modeling procedures, vertical and horizontal domains, input data of meteorological and air quality modeling and so on.

Remote Sensing-assisted Disaster Monitoring and Risk Analysis (원격탐사를 활용한 연속적 재난상황 인지 및 위험 모니터링 기술)

  • Im, Jungho;Sohn, Hong-Gyoo;Kim, Duk-jin;Choi, Jinmu
    • Korean Journal of Remote Sensing
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    • v.36 no.5_3
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    • pp.1007-1011
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    • 2020
  • Recently, natural and anthropogenic disasters have rapidly increased due to the on-going climate change and various human activities. Remote sensing (RS) technology enables the continuous monitoring and rapid detection of disastrous events thanks to its advantages covering vast areas at high temporal resolution. Moreover, RS technology has been very actively used in disaster monitoring and assessment since cluster- and micro-satellites and drones were introduced and became popular. In this special issue, nine papers were introduced, including the processing and applications of remote sensing data for monitoring, assessment, and prediction of various natural disasters. These papers are expected to serve as useful references for disaster management in the future.

Long Term Chlorophyll-a Prediction Based on the Rise in Sea-Water Temperature Using the Eco-Hydrodynamic Model in the Yellow Sea (생태-유체역학 모델을 이용한 해수 수온 상승에 따른 황해 Chlorophyll-a의 장기 변화 예측)

  • Kwoun, Chul-Hui;Kwon, Min-Sun;Han, In-Sung;Seo, Young-Sang;Hwang, Jae-Dong;Kang, Hoon;Lee, Nam-Do
    • Journal of Environmental Impact Assessment
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    • v.19 no.4
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    • pp.367-380
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    • 2010
  • 수산 해양환경적 측면에서 중요한 위치에 있는 황해(Yellow Sea)의 해양 생태계 변화과정에 대 한 체계적이고 심층적인 연구을 위하여 기후 변화와 관련된 생태 및 환경변화에 대한 황해 해역의 반응성 연구가 필요한 실정이다. 본 연구는 황해해역에서 수온 상승에 따른 클로로필의 변화를 살펴보고, 지구온난화가 해양환경과 생태계에 미칠 영향을 예측하고자 하였다. 황해해역에서 해수유동 모델의 결과를 기초 입력자료로 활용하여 클로로필과 상호작용을 하는 육상유입부하량, 저질 영양 염용출량 및 생물학적 파라메타 등을 입력하여 현재상태를 재현하였다. 우리나라 주변 해수의 온도가 지난 10년간 약 $0.75^{\circ}C$ 상승했다고 가정하였을 때, 본 실험에서는 수온이 선형적으로 연간 $0.075^{\circ}C$ 씩 상승한다고 가정하여 10년 후까지의 Chlorophyll-a 농도 변화를 예측하였다. 예측 결과, 연구해역의 중앙부에서는 전체적으로 농도가 높아지고, 우리나라 연안해역에서 Chlorophyll-a 의 농도가 낮아지는 것으로 예측되었다. 본 연구의 결과를 기초로 하여 10년 이상의 장기적인 예측실험을 한다면 기후변화가 황해해역의 생태계 변화에 미치는 영향을 파악할 수 있을 것으로 기대된다.

Landslide Risk Assessment in Inje Using Logistic Regression Model (로지스틱 회귀분석을 이용한 인제군 산사태지역의 위험도 평가)

  • Lee, Hwan-Gil;Kim, Gi-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.313-321
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    • 2012
  • Korea has been continuously affected by landslides, as 70% of the land is covered by mountains and most of annual rainfall concentrates between June and September. Recently, abrupt climate change affects the increase of landslide occurrence. Gangwon region is especially suffered by landslide damages, because the most of the part is mountainous, steep, and having shallow soil. In this study, a landslide risk assessment model was developed by applying logistic regression to the various data of Duksan-ri, Inje-eup, Inje-gun, Gangwon-do, which has suffered massive landslide triggered by heavy rain in July 2006. The information collected from field investigation and aerial photos right after the landslide of study area were stored in GIS DB for analysis. Slope gradient entered in two ways-as categorical variable and as linear variable. Error matrix for each case was made, and developed model showed the classification accuracy of 81.4% and 81.9%, respectively.