• Title/Summary/Keyword: Climate variable

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Dominant-strains Variation of Soil Microbes by Temperate Change II (온도변화에 기인한 토양세균 우점종의 변화에 관한 연구 II)

  • Park, Kap-Joo;Lee, Byeong-Chol;Kim, Soo-Young;Park, Chan-Sun;Cho, Myung-Hwan
    • Korean Journal of Environmental Biology
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    • v.29 no.3
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    • pp.195-201
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    • 2011
  • Today, the weather is changing continually, due to the progress of global warming. As the weather changes, the habitats of different organisms will change as well. It cannot be predicted whether or not the weather will change with each passing day. In particular, the biological distribution of the areas climate change affects constitutes a major factor in determining the natural state of indigenous plants; additionally, plants are constantly exposed to rhizobacteria, which are bound to be sensitive to these changes. Interest has grown in the relationship between plants and rhizopheric microorganisms. As a result of this interest we elected to research and experiment further. We researched the dominant changes that occur between plants and rhizospheric organisms due to global warming. First, we used temperature as a variable. We employed four different temperatures and four different sites: room temperature ($27^{\circ}C$), $+2^{\circ}C$, $+4^{\circ}C$, and $+6^{\circ}C$. The four different sites we used were populated by the following strains: Pinus densiflora, Pinus koraiensis, Quercus acutissima. We counted colonies of these plants and divided them. Then, using 16S rRNA analysis we identified the microorganisms. In conclusion, we identified the following genera, which were as follows: 24 strains of Bacillus, 6 Paenibacillus strains, 1 Pseudomonas strains. Among these genera, the dominant strains in Pinus densiflora was discovered in the same genus. Additionally, those of Pinus koraiensis and Quercus acutissima changed in both genus and strains which changed into the Bacillus genus from the Paenibacillus genus at $33^{\circ}C$.

Adjustment of A Simplified Satellite-Based Algorithm for Gross Primary Production Estimation Over Korea

  • Pi, Kyoung-Jin;Han, Kyung-Soo;Kim, In-Hwan;Lee, Tae-Yoon;Jo, Jae-Il
    • Korean Journal of Remote Sensing
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    • v.29 no.3
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    • pp.275-291
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    • 2013
  • Monitoring the global Gross Primary Pproduction (GPP) is relevant to understanding the global carbon cycle and evaluating the effects of interannual climate variation on food and fiber production. GPP, the flux of carbon into ecosystems via photosynthetic assimilation, is an important variable in the global carbon cycle and a key process in land surface-atmosphere interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) is one of the primary global monitoring sensors. MODIS GPP has some of the problems that have been proven in several studies. Therefore this study was to solve the regional mismatch that occurs when using the MODIS GPP global product over Korea. To solve this problem, we estimated each of the GPP component variables separately to improve the GPP estimates. We compared our GPP estimates with validation GPP data to assess their accuracy. For all sites, the correlation was close with high significance ($R^2=0.8164$, $RMSE=0.6126g{\cdot}C{\cdot}m^{-2}{\cdot}d^{-1}$, $bias=-0.0271g{\cdot}C{\cdot}m^{-2}{\cdot}d^{-1}$). We also compared our results to those of other models. The component variables tended to be either over- or under-estimated when compared to those in other studies over the Korean peninsula, although the estimated GPP was better. The results of this study will likely improve carbon cycle modeling by capturing finer patterns with an integrated method of remote sensing.

Spatial Physicochemical and Metagenomic Analysis of Desert Environment

  • Sivakala, Kunjukrishnan Kamalakshi;Jose, Polpass Arul;Anandham, Rangasamy;Thinesh, Thangathurai;Jebakumar, Solomon Robinson David;Samaddar, Sandipan;Chatterjee, Poulami;Sivakumar, Natesan;Sa, Tongmin
    • Journal of Microbiology and Biotechnology
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    • v.28 no.9
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    • pp.1517-1526
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    • 2018
  • Investigating bacterial diversity and its metabolic capabilities is crucial for interpreting the ecological patterns in a desert environment and assessing the presence of exploitable microbial resources. In this study, we evaluated the spatial heterogeneity of physicochemical parameters, soil bacterial diversity and metabolic adaptation at meter scale. Soil samples were collected from two quadrats of a desert (Thar Desert, India) with a hot, arid climate, very little rainfall and extreme temperatures. Analysis of physico-chemical parameters and subsequent variance analysis (p-values < 0.05) revealed that sulfate, potassium and magnesium ions were the most variable between the quadrats. Microbial diversity of the two quadrats was studied using Illumina bar-coded sequencing by targeting V3-V4 regions of 16S rDNA. As for the results, 702504 high-quality sequence reads, assigned to 173 operational taxonomic units (OTUs) at species level, were examined. The most abundant phyla in both quadrats were Actinobacteria (38.72%), Proteobacteria (32.94%), and Acidobacteria (9.24%). At genus level, Gaiella represented highest prevalence, followed by Streptomyces, Solirubrobacter, Aciditerrimonas, Geminicoccus, Geodermatophilus, Microvirga, and Rubrobacter. Between the quadrats, significant difference (p-values < 0.05) was found in the abundance of Aciditerrimonas, Geodermatophilus, Geminicoccus, Ilumatobacter, Marmoricola, Nakamurella, and Solirubrobacter. Metabolic functional mapping revealed diverse biological activities, and was significantly correlated with physicochemical parameters. The results revealed spatial variation of ions, microbial abundance and functional attributes in the studied quadrats, and patchy nature in local scale. Interestingly, abundance of the biotechnologically important phylum Actinobacteria, with large proposition of unclassified species in the desert, suggested that this arid environment is a promising site for bioprospection.

Job Satisfaction and Organizational Commitment of Quality Improvement Coordinators in General Hospitals (종합병원 질향상 사업 담당자의 직무만족과 조직몰입에 관한 연구)

  • Park, Mi Hyun;Cho, Woohyun;Seo, Yong-Joon;Lee, Sunhee
    • Quality Improvement in Health Care
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    • v.5 no.2
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    • pp.278-294
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    • 1998
  • This study was planned to provide basic data for activating quality improvement by genera hospital with more than 400 beds across the country, of which 65 coordinators answered. Main results of the study are as follows.. 1. Job satisfaction and organizational commitment by individual characteristics were compared. It was revealed that the sense of self-efficacy was related to job satisfaction positively. But job satisfaction and organizational commitment by locus of control showed no significant difference. 2. In terms of the characteristics of QI activities, the active participation of QI coordinators in QI planning process and smooth communication among hospital staffs were showed positive relationship to job satisfaction significantly. 3. Also support system was proposed as most significant variable related to the job satisfaction and the organizational commitment of QI coordinators. Especially support to QI activities by CEO's, seniors, and other hospital staff was a factor to enhance the job satisfaction and organizational commitment of QI coordinators. 4. In the aspect of organizational culture, culture which were tendency to be recognized high autonomy in their work and organizational identity strongly and to operate reasonable compensation system were related to job satisfaction and organizational commitment positively. The more formalized climate, supportive communication, cooperative teamwork and promoting creative/risk take behavior, it showed the higher organizational commitment. 5. For the aspect of QI job characteristics, QI coordinators' job satisfaction was high when QI office was arranged for independent department which was exclusively in charge of QI activities and their role is exclusively in charge of QI. It can be concluded that organizational support in the aspect of relation and finance and efforts of encouraging their motivation and providing on the job training program are need.

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Food-Web Structures in the Lower Trophic Levels of the Korean Seas (East Sea, West Sea, South Sea, and East China Sea) during the Summer Season: Using Carbon and Nitrogen Stable Isotopes (하계 한반도 해역(동해, 서해, 남해 및 동중국해)의 하위영양단계 먹이망 구조 : 탄소 및 질소 안정동위원소 활용)

  • Min, Jun-Oh;Lee, Chang-Hwa;Youn, Seok-Hyun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.5
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    • pp.493-505
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    • 2020
  • Food web structures in the lower trophic levels of the seas around the Korean peninsula were investigated in August 2019 using stable isotopes. There were variable ratios of the carbon (-26.18 ~ -20.61 ‰) and nitrogen stable (5.36 ~ 15.20 ‰) isotopes in the particulate organic matter (POM). Most of the organisms ingested micro-POM as a major food source, but this varied spatially. The chaetognaths (3.40 ± 0.61) occupied the highest trophic level. The isotope mixing model showed that the proportions (13 ~ 51 %) of some organisms (i.e., copepods and euphausiids) reflected the relative contributions as major food sources for chaetognaths at each site.

Analysis of Traffic Crash Severity on Freeway Using Hierarchical Binomial Logistic Model (계층 이항 로지스틱모형에 의한 고속도로 교통사고 심각도 분석)

  • Mun, Sung-Ra;Lee, Young-Ihn
    • International Journal of Highway Engineering
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    • v.13 no.4
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    • pp.199-209
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    • 2011
  • In the study of traffic safety, the analysis on factors affecting crash severity and the understanding about their relationship is important to be planning and execute to improve safety of road and traffic facilities. The purpose of this study is to develop a hierarchical binomial logistic model to identify the significant factors affecting fatal injuries and vehicle damages of traffic crashes on freeway. Two models on death and total vehicle damage are developed. The hierarchical structure of response variable is composed of two level, crash-occupant and crash-vehicle. As a result, we have gotten the crash-level random effect from these hierarchical structure as well as the fixed effect of covariates, namely odds ratio. The crash on the main line and in-out section have greater damage than other facilities. Injuries and vehicle damages are severe in case of traffic violations, centerline invasion and speeding. Also, collision crash and fire occurrence is more severe damaged than other crash types. The surrounding environment of surface conditions by climate and visibility conditions by day and night is a significant factor on crash occurrence. On the orher hand, the geometric condition of road isn't.

An analysis of research trends related with Organization Silence (조직침묵 관련 국내연구동향 분석)

  • Kim, Myung-ja;Kim, Mi-Hwan
    • Journal of the Korea Convergence Society
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    • v.7 no.5
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    • pp.189-200
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    • 2016
  • This study was done to review and summarize trends in research related to organizational silence, to realize convergent association of relating variables, subjects and to explore directions for future research. 26 research papers related to organizational silence, which were published in Korea between 2006 and 2015, were analyzed. 25 articles was published between 2011 and 2015. 96.2% of the study were descriptive research. The subjects were higher in the order of the police, hotel employees, corporate employees. Measurement instrument developed by Van Dyne, Ang & Botero(2003) were used and modified. Turnover intention were used in 13 studies as dependent variable of organizational silence. The findings of this study suggest that should be performed to identify variables related to organizational silence and to develop measurement instrument of organizational silence in Korea climate.

Evaluation of actual Energy consumption & Simulation of Gas Engine VRF System and Comparison with Electric VRF System (가스 엔진 VRF시스템의 에너지 실사용량 & 시뮬레이션 평가와 전기 구동 VRF 시스템과의 성능비교에 관한 연구)

  • Choi, Sul-Geon;Jeon, Jong-Ug;Kim, Kang-Soo
    • KIEAE Journal
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    • v.17 no.4
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    • pp.67-74
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    • 2017
  • Purpose: As the recent climate environment changes so rapidly, environmental problems such as hot weather and fine dust have occurred, and interest in environmental policies and technology development is increasing in countries around the world. Similarly in the Architecture, researches to reduce greenhouse gas emissions and to reduce energy application are actively conducted. Looking at previous studies, it is analyzed that the electric VRF is more energy efficient than the gas engine VRF. However, energy costs have changed due to recent price hikes and discounts on gas charges due to high electricity consumption in summer. Method: In this study, the actual building of Gas Engine VRF system was modeled using SketchUp program, and EnergyPlus was used to simulate actual building. Also, Electric VRF system was simulated, and compared with Gas Engine VRF system. Result: The total secondary energy requirement of Electric VRF system was 19.6% less than that of the Gas Engine VRF system, But when analyzing with primary energy requirement, EHP used 15.8% more energy. CO2 emissions were also estimated to be 16.9% more EHP. Energy costs were 14.8% more in Electric VRF systems, because their electricity charges are 0.6 to 160% more expensive than gas charges.

Analysis of the Long-term Trend of PM10 Using KZ Filter in Busan, Korea (KZ 필터를 이용한 부산지역 PM10의 장기 추세 분석)

  • Do, Woo-gon;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.26 no.2
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    • pp.221-230
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    • 2017
  • To determine the effect of air pollution reduction policies, the long-term trend of air pollutants should be analyzed. Kolmogorov-Zurbenko (KZ) filter is a low-pass filter, produced through repeated iterations of a moving average to separate each variable into its temporal components. The moving average for a KZ(m, p) filter is calculated by a filter with window length m and p iterations. The output of the first pass subsequently becomes the input for the next pass. Adjusting the window length and the number of iterations makes it possible to control the filtering of different scales of motion. To break down the daily mean $PM_{10}$ into individual time components, we assume that the original time series comprises of a long-term trend, seasonal variation, and a short-term component. The short-term component is attributable to weather and short-term fluctuations in precursor emissions, while the seasonal component is a result of changes in the solar angle. The long-term trend results from changes in overall emissions, pollutant transport, climate, policy and/or economics. The long-term trend of the daily mean $PM_{10}$ decreased sharply from $59.6ug/m^3$ in 2002 to $44.6ug/m^3$ in 2015. This suggests that there was a long-term downward trend since 2005. The difference between the unadjusted and meteorologically adjusted long-term $PM_{10}$ is small. Therefore, we can conclude that $PM_{10}$ is unaffected by the meteorological variables (total insolation, daily mean temperature, daily mean relative humidity, daily mean wind speed, and daily mean local atmospheric pressure) in Busan.

Analysis of historical drought in East Asia with CLM and CLM-VIC (CLM 및 CLM-VIC를 이용한 동아시아 지역의 과거 가뭄 분석)

  • Um, Myoung-Jin;Kim, Jeongbin;Kim, Mun Mo;Kim, Yeonjoo
    • Ecology and Resilient Infrastructure
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    • v.5 no.3
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    • pp.134-144
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    • 2018
  • In this study, the historical drought in East Asia was analyzed with the Community Land Model (CLM) and CLM-Variable infiltration capacity (CLM-VIC). The observation dataset, Climate Research Unit (CRU), were also applied to check and estimate the historical drought for 1951 - 2010. The annual precipitation, temperature and evapotranspiration by CRU, CLM and CLM-VIC were investigated before estimating the meteorological drought index, which is the Standardized precipitation evapotranspiration index (SPEI). Three variables by observation and simulations have generally similar spatial pattern in East Asia even though there are some mere differences depending on the local area. These similar patterns are also founded in the results of SPEI by CRU, CLM and CLM-VIC. However, the similarity of SPEI becomes weaker as the drought severity goes severer from D1 to D4.