• Title/Summary/Keyword: 계절적 온도 변화

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Deformation of Flush Door Depending on Core Construction Under the Change of Environmental Condition (환경 노출 조건 하에서 심재구성에 따른 플러쉬문의 변형)

  • Jang, Sang Sik
    • Journal of the Korean Wood Science and Technology
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    • v.31 no.2
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    • pp.38-44
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    • 2003
  • This study was carried out to evaluate the feasibility of using HDF as surface panels as well as core materials for flush door manufacturing. Six core constructions were developed and applied to manufacture door specimens and conventional skin door specimen was also manufactured for comparison. Door specimens were tested under changing interior environmental condition for 3~4 months during winter and summer seasons. During the test period, deformation of doors were measured weekly, and temperature and relative humidity of testing area were also recorded. From this study, it was concluded that HDF can be used to manufacture quality flush doors and core construction developed in this study showed good quality compared to conventional skin door. Deformation of doors increased as temperature and relative humidity of the surrounding environment increased. Flush doors generally showed less deformation than skin doors, and evaluated to be stable and good quality when compared to skin door.

Analysis of Outdoor Design Temperatures for Heating and Cooling Greenhouses Based on Annual Percentiles (연간 백분위 방식에 의한 온실 냉난방 설계기온의 분석)

  • Nam, Sang-Woon;Shin, Hyun-Ho
    • Journal of Bio-Environment Control
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    • v.27 no.3
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    • pp.269-275
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    • 2018
  • In order to establish the criterion for analyzing outdoor weather conditions in the greenhouse heating and cooling system design, we analyzed heating and cooling design outdoor temperatures by the annual percentile method and compared with design outdoor temperatures by the existing seasonal percentile method. In the annual percentile method, 0.4%, 1% and 2% of the total 8,760 hours per year are presented as cooling design outdoor temperatures and 99.6% and 99% as heating design outdoor temperatures. When the annual percentile method was adopted, heating design outdoor temperatures increased by 6.7 to 9.6% compared with the seasonal percentile method, and cooling design outdoor temperatures decreased by 0.6 to 1.1%. The maximum heating load in the same greenhouse condition decreased by 3.0 to 3.6% when the annual percentile method was adopted, but the effect on the maximum cooling load was insignificant. Therefore, it is necessary to consider the change of heating design outdoor temperatures to the annual percentile method, but it is not necessary to change the cooling design outdoor temperatures since there is little difference between the two methods.

Assessment of future hydrological behavior of Soyanggang Dam watershed using SWAT (SWAT 모형을 이용한 소양강댐 유역의 미래 수자원 영향 평가)

  • Park, Min Ji;Shin, Hyung Jin;Park, Geun Ae;Kim, Seong Joon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4B
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    • pp.337-346
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    • 2010
  • Climate change has a huge impact on various parts of the world. This study quantified and analyzed the effects on hydrological behavior caused by climate, vegetation canopy and land use change of Soyanggang dam watershed (2,694.4 $km^2$) using the semi-distributed model SWAT (Soil Water Assessment Tool). For the 1997-2006 daily dam inflow data, the model was calibrated with the Nash-Sutcliffe model efficiencies between the range of 0.45 and 0.91. For the future climate change projection, three GCMs of MIROC3.2hires, ECHAM5-OM, and HadCM3 were used. The A2, A1B and B1 emission scenarios of IPCC (Intergovernmental Panel on Climate Change) were adopted. The data was corrected for each bias and downscaled by Change Factor (CF) method using 30 years (1977-2006, baseline period) weather data and 20C3M (20th Century Climate Coupled Model). Three periods of data; 2010-2039 (2020s), 2040-2069 (2050s), 2070-2099 (2080s) were prepared for future evaluation. The future annual temperature and precipitation were predicted to change from +2.0 to $+6.3^{\circ}C$ and from -20.4 to 32.3% respectively. Seasonal temperature change increased in all scenarios except for winter period of HadCM3. The precipitation of winter and spring increased while it decreased for summer and fall for all GCMs. Future land use and vegetation canopy condition were predicted by CA-Markov technique and MODIS LAI versus temperature regression respectively. The future hydrological evaluation showed that the annual evapotranspiration increases up to 30.1%, and the groundwater recharge and soil moisture decreases up to 55.4% and 32.4% respectively compared to 2000 condition. Dam inflow was predicted to change from -38.6 to 29.5%. For all scenarios, the fall dam inflow, soil moisture and groundwater recharge were predicted to decrease. The seasonal vapotranspiration was predicted to increase up to 64.2% for all seasons except for HadCM3 winter.

Effects of Cyclic Thermal Load on the Signal Characteristics of FBG Sensors Packaged with Epoxy Adhesives (주기적인 반복 열하중이 패키징된 FBG 센서 신호 특성에 미치는 영향)

  • Kim, Heonyoung;Kang, Donghoon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.4
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    • pp.313-319
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    • 2017
  • Fiber optics sensors that have been mainly applied to aerospace areas are now finding applicability in other areas, such as transportation, including railways. Among the sensors, the fiber Bragg grating (FBG) sensors have led to a steep increase due to their properties of absolute measurement and multiplexing capability. Generally, the FBG sensors adhere to structures and sensing modules using adhesives such as an epoxy. However, the measurement errors that occurred when the FBG sensors were used in a long-term application, where they were exposed to environmental thermal load, required calibration. For this reason, the thermal curing of adhesives needs to be investigated to enhance the reliability of the FBG sensor system. This can be done at room temperature through cyclic thermal load tests using four types of specimens. From the test results, it is confirmed that residual compressive strain occurs to the FBG sensors due to an initial cyclic thermal load. In conclusion, signals of the FBG sensors need to be stabilized for applying them to a long-term SHM.

Dynamic Change of the DO Concentration by Continuous Monitoring in Artificial Lake (인공 호소의 연속모니터링을 통한 DO 동적변화 규명)

  • Choi, Sunhwa;Lee, Seungheon;Park, Hyungseok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.494-494
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    • 2017
  • 국내의 호소는 대부분이 농업용수 공급을 목적으로 설치된 인공 호소이다. 최근 이상기후 및 유역 오염원 증가로 호소의 수질오염도가 증가 추이에 있으며, 특히 하절기 외기온도 상승과 함께 녹조 대량발생, 어류 집단폐사 등 수질오염사고가 야기되고 있다. 이러한 수질오염사고는 호소의 지역적 특성으로 인한 여러 가지 원인이 있겠지만 직접적인 원인으로는 호소의 산소 고갈에 기인된다. 본 연구에서는 농업용 호소의 수온, DO, EC 등에 대한 일주기 및 계절적 동적변화를 규명하여 호소의 수질개선대책수립에 활용하고자 하였다. 연구대상 지구는 경기도 시흥시에 소재하고 있는 M 농업용 저수지이며, 2015년 6월 4일부터 9월 22일까지 수온, DO, EC을 측정할 수 있는 연속 자동측정장치를 설치하였고, 측정지점은 저수지 수심을 상(바닥층에서 1.5m 상부), 중(바닥층에서 1.0m 상부), 하(바닥층에서 0.5m 상부)로 구분하여 각각 측정하였다. 호소의 수온은 일주기로 수온성층 형성과 대류혼합이 반복되었으며, 상 하층간의 수온 차이가 평균 $1.4^{\circ}C$, 최대 $5.0^{\circ}C$의 차이를 보였다. 또한 강우가 발생한 이후에는 일시적으로 저수지 상 하 층간 수온 차이가 거의 없는 것으로 나타났는데, 이는 강우에 의한 수체의 수직혼합으로 저수지 전체의 물질순환에 영향을 미친 것으로 판단된다. 호내 DO 농도는 일(day) 주기 동안 농도변화가 크게 나타났으며, 여름철 무강우 기간에는 저수지 바닥층의 평균 DO 농도가 약 0.5mg/L로 거의 무산소 상태가 지속되는 것으로 관측되었다. DO는 기온이 낮아지거나 강수가 발생할 때 대류에 의한 수직혼합에 의해 간헐적으로 회복되다가 다시 고갈되는 현상이 반복되는 것으로 나타났다.

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Projecting the Spatio-Temporal Change in Yield Potential of Kimchi Cabbage (Brassica campestris L. ssp. pekinensis) under Intentional Shift of Planting Date (정식일 이동에 따른 배추 잠재수량성의 시공간적 변화 전망)

  • Kim, Jin-Hee;Yun, Jin I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.4
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    • pp.298-306
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    • 2016
  • Planting date shift is one of the means of adapting to climate change in Kimchi Cabbage growers in major production areas in Korea. This study suggests a method to estimate the potential yield of Kimchi Cabbage based on daily temperature accumulation during the growth period from planting to maturity which is determined by a plant phenology model tuned to Kimchi Cabbage. The phenology model converts any changes in the thermal condition caused by the planting date shift into the heat unit accumulation during the growth period, which can be calculated from daily temperatures. The physiological maturity is estimated by applying this model to a variable development rate function depending either on growth or heading stage. The cabbage yield prediction model (Ahn et al., 2014) calculates the potential yield of summer cabbage by accumulating daily heat units for the growth period. We combined these two models and applied to the 1km resolution climate scenario (2000-2100) based on RCP8.5 for South Korea. Potential yields in the current normal year (2001-2010) and the future normal year (2011-2040, 2041-2070, and 2071-2100) were estimated for each grid cell with the planting dates of July 1, August 1, September 1, and October 1. Based on the results, we divided the whole South Korea into 810 watersheds, and devised a three - dimensional evaluation chart of the time - space - yield that enables the user to easily find the optimal planting date for a given watershed. This method is expected to be useful not only for exploring future new cultivation sites but also for developing cropping systems capable of adaptation to climate change without changing varieties in existing production areas.

Temperature Compensation of Optical FBG Sensors Embedded Tendon for Long-term Monitoring of Tension Force of Ground Anchor (광섬유 센서 내장형 텐던을 이용한 그라운드 앵커의 장기 장력모니터링을 위한 온도보상)

  • Sung, Hyun-Jong;Kim, Young-Sang;Kim, Jae-Min;Park, Gui-Hyun
    • Journal of the Korean Geotechnical Society
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    • v.28 no.5
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    • pp.13-25
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    • 2012
  • Ground anchor method is one of the most popular reinforcing technology for slope in Korea. For the health monitoring of slope which is reinforced by permanent anchor for a long period, monitoring of the tension force of ground anchor is very important. However, since electromechanical sensors such as strain gauge and V/W type load cell are also subject to long-term risk as well as suffering from noise during long distance transmission and immunity to electromagnetic interference (EMI), optical FBG sensors embedded tendon was developed to measure strain of 7-wire strand by embedding FBG sensor into the center king cable of 7-wire strand. This FBG sensors embedded tendon has been successfully applied to measuring the short-term anchor force. But to adopt this tendon to long-term monitoring, temperature compensation of the FBG sensors embedded tendon should be done. In this paper, we described how to compensate the effect in compliance with the change of underground temperature during long-term tension force monitoring of ground anchors by using optical fiber sensors (FBG: Fiber Bragg Grating). The model test was carried out to determine the temperature sensitivity coefficient (${\beta}^{\prime}$) of FBG sensors embedded tendon. The determined temperature sensitivity coefficient ${\beta}^{\prime}=2.0{\times}10^{-5}/^{\circ}C$ was verified by comparing the ground temperatures predicted from the proposed sensor using ${\beta}^{\prime}$ with ground temperatures measured from ground thermometer. Finally, temperature compensations were carried out based on ${\beta}^{\prime}$ value and ground temperature measurement from KMA for the tension force monitoring results of tension type and compression type anchors, which had been installed more than 1 year before at the test site. Temperature compensated tension forces are compared with those measured from conventional load cell during the same measuring time. Test results show that determined temperature sensitivity coefficient (${\beta}^{\prime}$) of FBG sensors embedded tendon is valid and proposed temperature compensation method is also appropriate from the fact that the temperature compensated tension forces are not dependent on the change of ground temperature and are consistent with the tension forces measured from the conventional load cell.

Retrieval of Land Surface Temperature Using Landsat 8 Images with Deep Neural Networks (Landsat 8 영상을 이용한 심층신경망 기반의 지표면온도 산출)

  • Kim, Seoyeon;Lee, Soo-Jin;Lee, Yang-Won
    • Korean Journal of Remote Sensing
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    • v.36 no.3
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    • pp.487-501
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    • 2020
  • As a viable option for retrieval of LST (Land Surface Temperature), this paper presents a DNN (Deep Neural Network) based approach using 148 Landsat 8 images for South Korea. Because the brightness temperature and emissivity for the band 10 (approx. 11-㎛ wavelength) of Landsat 8 are derived by combining physics-based equations and empirical coefficients, they include uncertainties according to regional conditions such as meteorology, climate, topography, and vegetation. To overcome this, we used several land surface variables such as NDVI (Normalized Difference Vegetation Index), land cover types, topographic factors (elevation, slope, aspect, and ruggedness) as well as the T0 calculated from the brightness temperature and emissivity. We optimized four seasonal DNN models using the input variables and in-situ observations from ASOS (Automated Synoptic Observing System) to retrieve the LST, which is an advanced approach when compared with the existing method of the bias correction using a linear equation. The validation statistics from the 1,728 matchups during 2013-2019 showed a good performance of the CC=0.910~0.917 and RMSE=3.245~3.365℃, especially for spring and fall. Also, our DNN models produced a stable LST for all types of land cover. A future work using big data from Landsat 5/7/8 with additional land surface variables will be necessary for a more reliable retrieval of LST for high-resolution satellite images.

Impact of Water Temperature Fluctuation due to Hydropeaking on the Downstream (발전방류로 인한 수온의 변동이 하류하천에 미치는 영향 분석)

  • Choi, Byungwoong;Choi, Sung-Uk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.118-122
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    • 2016
  • 하천은 하천에 서식하는 동 식물뿐만 아니라 인간에게 매우 중요한 역할을 하고 있다. 그러나 인간의 활동과 산업화에 의해 많은 인위적인 교란을 받고 있으며, 대표적으로 수자원의 이용/발전에 의해 건설된 댐과 저수지를 예로 들 수 있다. 이러한 댐과 저수지는 하천 상 하류간의 생태학적 단절을 초래하여 생물 서식처에 직접적인 영향을 미치고 있으며, 하류하천에 서식하는 생물들에 대한 영향을 고려하지 않고 건설되는 실정이다. 특히, 발전방류로 인한 급격한 유량의 변화와 온도의 변화는 댐 하류하천의 수생태계에 심각한 영향을 미친다고 알려져 있다. 특히, 댐에서의 온도 차이를 가지는 방류로 인해 국내에서의 운문댐, 보령댐 등 일부 댐에서는 벼 수확량 감소사례가 발생하고 있다. 본 연구에서는 댐 발전방류로 인한 수온의 변동이 하류하천에 미치는 영향을 파악하였다. 발전방류로 인한 하류하천의 수리분석과 수온 변화를 모의하기 위하여 CMS-Flow 모형을 사용하였다. 괴산댐 하류에 위치한 달천의 2.3 km구간을 대상구간으로 하였으며, 달천 상류에 위치한 괴산댐은 빈번하게 발전방류를 발생시키고 있다. 발전방류로 인한 수온의 변동이 하류하천에 미치는 영향을 분석하기 위하여 1년 동안의 발전방류 조건에 대하여 모의를 수행하였다. 봄, 여름, 가을, 겨울 총 4계절로 구분하여 발전방류로 인한 수온의 변동이 미치는 범위를 거리에 따라 분석하였을 때, 봄은 1.73 km, 여름은 1.92 km, 가을은 1.74 km, 겨울은 2.01 km까지 영향을 미치는 것으로 나타났다. 방류되는 수온과 하류하천의 수온 차이가 크게 발생하는 여름과 겨울의 경우가 봄과 가을에 비해 영향을 미치는 범위가 큰 것을 알 수 있었다. 본 연구를 통하여 댐 발전방류로 인한 하류하천의 수온 변화를 분석함으로써, 댐 하류하천에서 서식하는 생물들을 고려한 댐 운용 계획을 수립하는데 중요한 기초자료가 될 것으로 기대된다.

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Examinations of Morphology and Residual Water Quality Parameters on Saemangeum Basin under Gate Operations with SCHISM-CoSiNE (배수갑문 운영에 따른 새만금 호내의 지형 및 잔존 수질인자변화 검토: SCHISM-CoSiNE 모형 적용)

  • Yoo, Hyung Ju;Kim, Dong Hyun;Bang, Young Jun;Lee, Seung Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.84-84
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    • 2020
  • 새만금은 농업용지 확보 등 다양한 용도의 토지이용을 목적으로 방조제 공사를 수행하였으며, 새만금 종합개발계획(Master Plan, OPC, 2011)에 의하여 호내의 준설을 계획하고 있다. 그러나 방조제 준공 후 새만금 호내의 수질오염 문제가 지속적으로 발생되어 왔다. 수질오염의 문제를 해결하기위해서 강변저류지 설치, 하수종말 처리장 등 다양한 구조적 대책이 수립되고 시행되었지만, 수질개선 효과는 상대적으로 미비하였다(Kim et al, 2016; KRCC, 2016). 본 연구에서는 새만금 호내의 수질개선을 위하여, 다양한 배수갑문 운영에 따른 수질인자의 잔존률 및 하상의 변화를 SCHISM-CoSiNE(Semi-implicit Cross-scale Hydroscience Integrated System Model and Carbon, Silicate, Nitrogen Ecosystem model) 모형을 통하여 검토하고자 한다. 수치모형의 하상변동 및 수질변화에 대한 정확한 수치계산 여부를 판단하기 위하여 van Rijn(1987) 실험 및 새만금호내의 수질 관측자료(DO, T-N, T-P, 온도, 염도, 새만금유역 통합환경관리시스템)를 이용하여 수치모형 검증을 수행하였고 10% 이내의 오차를 나타내었다. 배수갑문 운영기록(Jeong et al., 2018)을 참조하여 배수갑문 운영을 재현하였으며, 지형은 기 수립된 MP 내 새만금 종합개발계획이 완료된 시점인 2030년을 기준으로 하였다. 수치모의를 통하여, 배수갑문 운영 및 계절의 변화에 따른 최심 하상변동고 변화 및 하상변동량을 확인하여 침식 퇴적 구간을 구분하였고, 호내의 잔존하는 수질인자의 농도를 통하여 수질개선 효과를 평가하여 수질측면에서 최적의 배수갑문 운영방안을 제시하였다. 본 연구는 배수갑문 운영이 새만금 호내의 수질 및 지형에 미치는 영향에 대한 기초적인 연구이지만 향후에는 다양한 수질인자 및 시나리오를 고려한다면 보다 근본적인 수질오염 해결방안으로 활용이 가능할 것으로 판단된다.

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