• Title/Summary/Keyword: 변동준

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Influences of Father's Involvement in Parenting on Child's Problematic Behaviors and Mother's Psychological Well-being: Focused on Latent Classes Growth Analysis (아버지 양육참여 변화 유형에 따른 자녀의 문제행동 및 어머니의 심리적 특성 차이 비교: 잠재계층성장모형 적용을 중심으로)

  • Yeon, Eun Mo;Choi, Hyo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.468-476
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    • 2020
  • This study investigated how latent groups depend on the longitudinal trajectories observed in fathers' involvement in parenting over a five year period, and the study also determined differences in children's behavioral problems and mother's parenting stress, marital satisfaction, and depression among these groups. By utilizing 1,316 sets of data from 1st to 5th Panel Survey of PSKC beginning in 2008, we examined the patterns of the latent groups and the differences among them. The results showed that, first, a changing pattern of fathers' involvement in parenting is classified into four groups: a low-stable group, a decreasing group. a middle-high changeable group, and a highest changeable group. According to the results of the latent groups, the fathers' involvement in parenting commonly started to decrease at the children's age of 4 years old. Second, problematic behaviors of children appeared more from the fathers in the decreasing group. Third, parenting stress, marital conflict, and depression were more often found in the low-stable group that in the decreasing group. the middle-high changeable group and the highest changeable group (in that order), while marital satisfaction showed a completely opposite pattern. Based on these results, political intervention and the future direction of research for fathers' involvement in parenting are needed in order to increase better behaviors of their children as well as the psychological well-being of their mothers.

Simulation of Change in Physical Habitat of Fish Using the Mobile Bed Model in a Downstream River of Dam (댐 하류 하천에서 하상변동 모델을 이용한 어류 물리서식처 변화 모의)

  • Kim, Seung Ki;Choi, Sung-Uk
    • Ecology and Resilient Infrastructure
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    • v.2 no.4
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    • pp.317-323
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    • 2015
  • This study investigated the impact of the morphological change on a physical fish habitat in the downstream reach of a dam using long-term mobile bed simulation. The quasi-steady model was used for hydraulic simulation and the habitat suitability index model was applied for physical habitat simulation. For simulating long-term morphological change of the stream bed, The Exner equation was used. Sorting of bed material was also considered. The results of simulation showed that erosion and armoring process occurred in a reach downstream of the dam and change of physical habitat for Zacco platypus followed. These results indicate that channel morphology and substrate conditions effected the physical habitat for considering long-term investigation.

Analysis of River Topography Change in Lower Watershed of Nam River Using GSTARS Model (GSTARS 모형을 이용한 남강하류의 하천지형변화 분석)

  • Cho, Bu Geon;Lee, Jong Mun;Jung, Woo Suk;Kim, Young Do
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.277-277
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    • 2017
  • 하천은 하도상황의 변경, 토지이용의 변화, 골재채취, 댐과 저수지 건설 등에 의한 인위적인 요인과 대규모의 홍수, 홍수시에 발생되는 산사태와 같은 자연적인 요인에 의해 하천의 특성이 변화되고 있다. 기후변화로 인한 기록적인 집중호우가 자주 발생하고, 탁수로 인한 피해가 심각해지면서 탁수에 대한 체계적인 연구 및 적적한 관리, 저감기술의 필요성이 대두되고 기후변화로 인해 하천 내 수리적인 환경을 변화시킴으로써 침식으로 인한 제방파괴 및 시설물 파괴나 퇴사에 따른 하천의 유지관리비용 절감을 위한 최적의 하천 하상변동 예측 기술 개발 필요성이 증대되고 있다. 본 연구에서는 남강에 적합한 유사량 추정공식과 장, 단기 하상변동을 정량적으로 제시하고자 한다. 국외에서 하도의 준 2차원적인 변화에 대한 적용성이 검증된 수치모형인 GSTARS를 이용하여 남강유역인 남강댐 하류 ~ 낙동강합류부 구간의 기후변화에 따른 유량의 변화에 따라 시나리오를 구성하였다. 유사량 공식, 준 2차원 모형 활용시 사용하는 수류튜브의 개수에 따른 민감도 분석을 수행하였으며, 연구의 결과는 하천의 물리적 변화에 따른 흐름 및 하상변동을 예측하는 방법에 기초자료를 제공할 수 있을 것으로 예상된다.

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Temporal and Spatial Variability of the TOMS Total Ozone; Global Trends and Profiles (TOMS 오존전량의 시공간 변동; 전구적인 추세 및 연직 분포)

  • Yoo Jung-Moon;Jeong Eun-Joo
    • Journal of the Korean earth science society
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    • v.26 no.3
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    • pp.199-217
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    • 2005
  • Using monthly total ozone data obtained from a Total Ozone Mapping Spectrometer (TOMS) onboard the Nimbus-7 and Earth Probe satellite, this study examined the trend in the total amount of global ozone during two periods: from 1979-1992 [Early period] and 1997-2002 [Latter period]. The Annual average of total ozone during the Early period was globally reduced by about 10 DU compared to the amount during the Latter, except in some areas between the equator and 20 N. Global trends of total ozone showed a decrease of -6.30 DU/decade during 1979-1992, and an increase of 0.12 DU/decade during 1997-2002. Its enhancement during the Latter period was especially noticeable in tropical areas. The EOF analyses of total ozone from this period indicated signs of temporal/spatial variability, associated with the phenomena of Quasi-Biennial Oscillation (QBO), Quasi-Triennial Oscillation (QTO), El Nino Southern Oscillation (ENSO), and volcanic eruption. Seasonal profiles of tropospheric ozone in the tropics obtained from ozonesondes, showed the spatial pattern of zonal wavenumber one. Overall, this study may be useful in analyzing possible causes in the variations of statospheric and tropospheric ozone.

Application of Fuzzy Multi-criteria Decision Making Techniques for Robust Prioritization (로버스트 우선순위 결정을 위한 Fuzzy 다기준 의사결정기법의 적용)

  • Han, Bong Gu;Chung, Eun Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.3
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    • pp.917-926
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    • 2013
  • This study presents the feasibility of fuzzy multi-criteria decision making (MCDM) techniques for the robust prioritization of projects. It is applied to water resources planning problem. Results from weighted sum method (WSM), analytic hierarchy process (AHP), revised analytic hierarchy process (R-AHP), and TOPSIS are compared with those from Fuzzy WSM, Fuzzy, AHP, Fuzzy R-AHP, and Fuzzy TOPSIS. For the calculation, all weights on criteria and the normalized data were obtained from the same investigation. As a result, the rankings from four MCDM techniques are slightly different while those from fuzzy MCDM show the comparatively consistent ranking. Therefore, it is desirable to use fuzzy MCDM technique when MCDM is used for the prioritization problem, since fuzzy MCDM can include the uncertain variability of input data and weighting values on criteria.

Analysis on Korea's Economic Volatility: Focusing on the Role of the Service Industry (우리나라 경기변동의 안정성 분석: 서비스산업의 역할을 중심으로)

  • LEE, Jaejoon
    • KDI Journal of Economic Policy
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    • v.33 no.2
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    • pp.1-39
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    • 2011
  • This study discusses the phenomenon behind various forms of macroeconomic volatility faced by countries in terms of industrial structure through empirical analysis, and in the process attempts to validate the role of the service industry. The analysis shows that economic fluctuations in Korea have been significantly improved, mainly due to the country risk. However, Korea is still exposed to the impact of external shocks, which is attributable to the manufacturing-centered industrial structure. Under such industrial structure, it is inevitable for the Korean economy to be continuously exposed to macroeconomic fluctuations caused by global sectoral shocks. So, in order to alleviate business fluctuations, it is necessary to enhance the role of non-tradable sectors that account for most of the service industry.

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Value-at-Risk Estimation of the KOSPI Returns by Employing Long-Memory Volatility Models (장기기억 변동성 모형을 이용한 KOSPI 수익률의 Value-at-Risk의 추정)

  • Oh, Jeongjun;Kim, Sunggon
    • The Korean Journal of Applied Statistics
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    • v.26 no.1
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    • pp.163-185
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    • 2013
  • In this paper, we investigate the need to employ long-memory volatility models in terms of Value-at-Risk(VaR) estimation. We estimate the VaR of the KOSPI returns using long-memory volatility models such as FIGARCH and FIEGARCH; in addition, via back-testing we compare the performance of the obtained VaR with short memory processes such as GARCH and EGARCH. Back-testing says that there exists a long-memory property in the volatility process of KOSPI returns and that it is essential to employ long-memory volatility models for the right estimation of VaR.