• Title/Summary/Keyword: climate change assessment

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Application of Evaporative Stress Index (ESI) for Satellite-based Agricultural Drought Monitoring in South Korea (위성영상기반 농업가뭄 모니터링을 위한 Evaporative Stress Index (ESI)의 적용성 평가)

  • Yoon, Dong-Hyun;Nam, Won-Ho;Lee, Hee-Jin;Hong, Eun-Mi;Kim, Taegon;Kim, Dae-Eui;Shin, An-Kook;Svoboda, Mark D.
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.6
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    • pp.121-131
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    • 2018
  • Climate change has caused changes in environmental factors that have a direct impact on agriculture such as temperature and precipitation. The meteorological disaster that has the greatest impact on agriculture is drought, and its forecasts are closely related to agricultural production and water supply. In the case of terrestrial data, the accuracy of the spatial map obtained by interpolating the each point data is lowered because it is based on the point observation. Therefore, acquisition of various meteorological data through satellite imagery can complement this terrestrial based drought monitoring. In this study, Evaporative Stress Index (ESI) was used as satellite data for drought determination. The ESI was developed by NASA and USDA, and is calculated through thermal observations of GOES satellites, MODIS, Landsat 5, 7 and 8. We will identify the difference between ESI and other satellite-based drought assessment indices (Vegetation Health Index, VHI, Leaf Area Index, LAI, Enhanced Vegetation Index, EVI), and use it to analyze the drought in South Korea, and examines the applicability of ESI as a new indicator of agricultural drought monitoring.

Establishment and Standardization of Evaluation Procedure for Urban Flooding Analysis Model Using Available Inundation Data (가용 침수 자료를 활용한 도심지 침수 해석 모형의 평가 절차 수립 및 표준화)

  • Shin, Eun Taek;Jang, Dong Min;Park, Sung Won;Eum, Tae Soo;Song, Chang Geun
    • Journal of the Korean Society of Safety
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    • v.35 no.2
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    • pp.100-110
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    • 2020
  • Recently, the frequency of typhoon and torrential rain due to climate change is increasing. In addition, the upsurge in the complexity of urban sewer network and impervious surfaces area aggravates the inland flooding damage. In response to these worsening situations, the central and local governments are conducting R&D tasks related to predict and mitigate the flood risk. Researches on the analysis of inundation in urban areas have been implemented through various ways, and the common features were to evaluate the accuracy and justification of the model by comparing the model results with the actual inundation data. However, the evaluation procesure using available urban flooding data are not consistent, and if there are no quantitative urban inundation data, verification has to be performed by using press releases, public complaints, or photos of inundation occurring through 'CCTV'. Because theses materials are not quantitative, there is a problem of low reliability. Therefore, this study intends to develop a comparative analysis procedure on the quantitative degree and applicability of the verifiable inundation data, and a systematic framework for the performance assessment of urban flood analysis model was proposed. This would contribute to the standardization of the evaluation and verification procedure for urban flooding modelling.

Calculation of Carbon Dioxide Emissions by South Korea's Fishery Industry (한국 수산업분야 어업용 연소연료의 사용실태와 CO2 배출량의 산정)

  • Lee, Dong-Woo;Lee, Jae-Bong;Kim, Yeong-Hye;Jung, Suk-Geun;Lee, Hae-Won;Hong, Byung-Kyu;Son, Myong-Ho
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.43 no.1
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    • pp.78-82
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    • 2010
  • Vessel numbers and fuel consumption by South Korea's offshore and coastal fisheries have continuously declined since 2000. Using the 2006 Intergovernmental Panel on Climate Change Guidelines, $CO_2$ emissions by South Korea's fishery industry (fishing and aquaculture, excluding deep-sea fishing) were calculated by the default $ CO_2$ emission factor and fuel consumption by fuel type, Emission of $CO_2$ was estimated to be 3.22 million $tCO_2$/year in 2007 for fisheries (excluding deep-sea fishing); when including deep-sea fishing, the estimated value increased to 4.11 million $tCO_2$/year. Fuel consumption per tonne of fishery production was 498 L, and the amount of $CO_2$ emission per tonne of production was 1.62 $tCO_2$. To calculate $CO_2$ emission more exactly, we must develop a system to compile energy balance statistics and introduce life-cycle assessment for the fishery industry.

Analysis of environmental benefit of wood waste recycling processes (폐목재 자원화 방법 환경편익 분석)

  • Kim, Mi Hyung;Hong, Soo Youl;Phae, Chae Gun;Koo, Ja Kong
    • Journal of the Korea Organic Resources Recycling Association
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    • v.20 no.2
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    • pp.15-19
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    • 2012
  • Wood wastes could be renewable resources by recycling as particleboard manufacturing or energy production. Particle board is the most common item of wood waste recycling and energy production from wood wastes has highlighted for energy recovery to reduce greenhouse gas generation in recent years. The aim of this study was to evaluate the environmental benefits of the processes for particle board manufacturing and energy production. The functional unit was one ton of wood wastes and the environmental impact was analyzed by life cycle assessment methodology. The result was that 112kg of carbon dioxide equivalent was produced from particle board manufacturing process and 382kg of carbon dioxide equivalent was produced from combined heat and power generation process. The concept of temporary biomass carbon storage was to applied to this study.

Assessment of Timber Harvest in Tropical Rainforest Ecosystem of South West Nigeria and Its Implication on Carbon Sequestration

  • Adekunle, Victor A.;Lawal, Amadu;Olagoke, Adewole O.
    • Journal of Forest and Environmental Science
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    • v.30 no.1
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    • pp.1-14
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    • 2014
  • Timber harvest in natural forests and its implications on carbon sequestration were investigated in the Southwestern Nigeria. Data on timber harvest from forest estates for a 3-year period were collected from the official record of States' Forestry Department. The data registered the species, volume and number of timbers exploited during the study period. The data were analyzed accordingly for rate of timber harvest and carbon value of the exploited timbers using existing biomass functions. Values were compared for significant differences among states using one way analysis of variance. The results showed that the most exploited logs, in terms of volume and number of trees, have the highest amount of carbon removal. There was a variation in type of timber species being exploited from each state. The total number of harvested trees from Oyo, Ondo, Ogun, Ekiti and Osun were estimated at 100,205; 111,789; 753; 15,884 and 18,153 respectively. Total quantity of carbon removed for the 3-year period stood at 2.3 million metric tons, and this translated to 8.4 million metric tons of $CO_2$. The annual carbon and $CO_2$ removal therefore were estimated at 760,120.73 tons and 2.8 million tons/ year respectively. There were significant differences (p<0.05) in the amount of $CO_2$ removed from the five states. Based on our result, we inferred that there is increasing pressure on economic tree species and it is plausible that they are becoming scarce from the forests in Southwestern Nigeria.. If the present rate of log removal is not controlled, forests could become carbon source rather than carbon sink and the on biological conservation, wood availability and climate change may turn out grave. For the forest to perform its environmental role as carbon sink, urgent conservation measures and logging policies are needed to be put in place.

The Evaluation of GHG Emissions in Railroad Construction Sector (철도건설의 온실가스 배출량 산정평가)

  • Lee, Jae-Young;Jung, Woo-Sung;Hwang, In-Hwan;Kim, Yong-Ki
    • Journal of the Korean Society for Railway
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    • v.14 no.3
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    • pp.271-275
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    • 2011
  • According to governmental policies for green growth, the increase in the traffic volume of railroad is a representative method to reduce total greenhouse gas (GHG) emitted from transport. Comprehensive assessment for the GHG emission of railroad has been studied to compare the difference of transport modes just in the operating step excluded the construction step. The purpose of this study was to evaluate GHG emissions in railroad construction sector. The targets were some construction works for civil, track, building, and electric system in A line. The GHG emission source of constructing railroad infrastructure was mainly the energy consumption of heavy equipments. As a result, the civil construction sector showed more than 96% of total GHG emissions and its specific GHG emission was 2.191 ton $CO_2e/m$. Also, the specific GHG emissions of civil construction works were of the order: earthworks > tunnels > bridges > station. In future, it will be required to calculate the overall GHG emission of railroad through life cycle approaches including operation, maintenance and disposal step.

A Study on Factors and Measurement Methodology on Workers' Work Competence Levels for Sustainable Management in ICT Organization (ICT조직의 지속가능경영을 위한 직무전문성 측정요인과 방법)

  • Yoon, Jang Ho;Kim, Kui Won;Lee, Soo Hyun;Kim, Jae Yun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.5
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    • pp.27-43
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    • 2015
  • Ever more so than any other times, today's corporations today face an ultimate issue of acquiring highest work expertise for their employees. However, most of current academic researches try to focus on what factors comprise an expertise while they fail to tackle the very issue of detailed numerical measurement of the expertise factors recommended improvement paths, and goals for each measured expertise level. Hence, this study suggests more objective and highly reliable identification of work competence measurement factors and the correlation among the identified factors. For details, it tries to propose a methodology of expertise measurement by developing into the definition of experts and expertise, reestablishment of expertise factors, determination of reference points of the expertise factors, and weighting of the factors. This measurement methodology finds that it itself has significant correlation with existing work competency level measurement and test tools. Therefore it is identified to justify its effectiveness. Finally, this study proposes an action point of establishing a national expertise architecture and its frameworks for various societies in general.

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Evaluation of Probability Precipitation using Climatic Indices in Korea (기상인자를 이용한 우리나라의 확률강수량 평가)

  • Oh, Tae-Suk;Moon, Young-Il
    • Journal of Korea Water Resources Association
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    • v.42 no.9
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    • pp.681-690
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    • 2009
  • In this research, design precipitation was calculated by reflecting the climatic indices and its uncertainty assessment was evaluated. Climatic indices used the sea surface temperature and moisture index which observed globally. The correlation coefficients were calculated between the annual maximum precipitation and the climatic indices. and then climatic indices which have the larger correlation coefficient were selected. Therefore, the regression relationship was established by a locally weighted polynomial regression. Next, climatic indices were generated by montecarlo simulation using kernel function. Finally, the design rainfall was calculated by the locally weighted polynomial regression using generated climatic indices. At the result, the comparison of design rainfall between the reflection of the climatic indices and the frequency analysis did not indicate a significant difference. Also, this result can be used as basic data for calculation of probability precipitation to reflect climate change.

Effects of Successive Organic Wastes Treatment on Fungal Flora in Agricultural Upland Lysimeter (유기성폐기물 연용이 토양 내 진균 분포에 미치는 영향)

  • Lee, Kang-Hyo;Weon, Hang-Yeon;Seok, Soon-Ja;Jang, Kab-Yeul;Kwon, Soon-Ik;Kim, Seung-Hwan;Kim, Wan-Gyu
    • The Korean Journal of Mycology
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    • v.36 no.2
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    • pp.116-122
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    • 2008
  • Fungal floras were investigated for the lysimeter soil treated with municipal sewage sludge (MSS), pig manure compost (PMC), industrial sewage sludge (ISS), leather processing sludge (LS), and alcohol fermentation processing sludge (FS). Fungal populations were higher in the FS, ISS, LS, or MSS-treated soil than in the chemical fertilizer-treated soil. Isolated fungi from the sewage sludge were identified as Penicillium spp., Gliocladium spp., Acremonium spp., Trichoderma spp., Aspergillus spp., Blastomyces spp., and Phoma spp.

Errors in Estimated Temporal Tracer Trends Due to Changes in the Historical Observation Network: A Case Study of Oxygen Trends in the Southern Ocean

  • Min, Dong-Ha;Keller, Klaus
    • Ocean and Polar Research
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    • v.27 no.2
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    • pp.189-195
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    • 2005
  • Several models predict large and potentially abrupt ocean circulation changes due to anthropogenic greenhouse-gas emissions. These circulation changes drive-in the models-considerable oceanic oxygen trend. A sound estimate of the observed oxygen trends can hence be a powerful tool to constrain predictions of future changes in oceanic deepwater formation, heat and carbon dioxide uptake. Estimating decadal scale oxygen trends is, however, a nontrivial task and previous studies have come to contradicting conclusions. One key potential problem is that changes in the historical observation network might introduce considerable errors. Here we estimate the likely magnitude of these errors for a subset of the available observations in the Southern Ocean. We test three common data analysis methods south of Australia and focus on the decadal-scale trends between the 1970's and the 1990's. Specifically, we estimate errors due to sparsely sampled observations using a known signal (the time invariant, temporally averaged, World Ocean Atlas 2001) as a negative control. The crossover analysis and the objective analysis methods are for less prone to spatial sampling location biases than the area averaging method. Subject to numerous caveats, we find that errors due to sparse sampling for the area averaging method are on the order of several micro-moles $kg^{-1}$. for the crossover and the objective analysis method, these errors are much smaller. For the analyzed example, the biases due to changes in the spatial design of the historical observation network are relatively small compared to the tends predicted by many model simulations. This raises the possibility to use historic oxygen trends to constrain model simulations, even in sparsely sampled ocean basins.