• Title/Summary/Keyword: dew point temperature

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Comparative Analysis of the Correlation Between Local Meteorological Elements and the Concentration of Airborne Fungi in the Beopjusa and Seonamsa Temples

  • Kim, Myoung Nam;Lim, Bo A;Hong, Jin Young;Lee, Jeung Min;Park, Ji Hee;Jeong, So Young
    • Journal of Conservation Science
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    • v.34 no.4
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    • pp.283-293
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    • 2018
  • This study involved a comparative analysis of the correlation between meteorological elements and the concentration of airborne fungi(CFU) in relation to biological damage to two temples on piedmonts, which is a cultural heritage building. The work compared Beopjusa temple in Boeun(Chungcheongbuk-do Province) and Seonamsa temple in Suncheon(Jeollanam-do Province). Twelve meteorological elements and the CFU were measured and the Pearson correlation analysis was used to determine the degree of the relationship between them. The results showed that Beopjusa temple had high wind speed, high total horizontal radiation, high evaporation, and large number of days with precipitation. Seonamsa temple had high air temperature, high relative humidity, high dew point temperature, high sea level pressure, high precipitation, and high CFU. The CFU at Beopjusa temple did not have a linear correlation with meteorological elements, but at Seonamsa temple it was highly positive correlated with the number of days with precipitation, relative humidity, and precipitation, and was highly negative correlated with total horizontal radiation. In addition, Beopju and Seonamsa temple had a common linear relationship between factors not affected by the topographical conditions, and had a individual linear correlation between factors affected by the topographical conditions.

Hydrological Analysis in Soyanggang-dam Watershed Using SLURP Model (SLURP 모형을 이용한 유출수문분석 - 소양강댐 유역을 대상으로 -)

  • Lim, Hyuk-Jin;Kwon, Hyung-Joong;Jang, Cheol-Hee;Kim, Seong-Joon
    • Journal of Korea Water Resources Association
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    • v.37 no.8
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    • pp.631-641
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    • 2004
  • The objective of this study is to test the applicability of SLURP (Semi-distributed Land Use-based Runoff Process) on Soyanggang-dam watershed. SLURP model is a conceptual semi-distributed form model that can be used to examine irrigation plan and the effects of proposed changes in water management within a basin or to see what effects external factors such as climate change or changing land cover might have on various water users. Topographical parameters were derived from DEM using TOPAZ and SLURPAZ. Monthly NDVIs were calculated from multi-temporal NOAA/AVHRR images during four years (1998 ∼ 2001). Weather elements (dew-point temperature, solar radiation, maximum/minimum temperature and relative humidify) were obtained from five meteorological stations within and near the study area. To simulate daily hydrograph during 1998 ∼ 2001, the model parameters of each land cover class were optimized by sensitivity analysis and SCE-UA method. Test result of SLURP was summarized by various statistics method (WMO volume error, Nash-Sutcliffe efficiency, mean error and coefficient of variation).

Humidity Sensitive Properties of Copolymers of Polystyrene Contains Phosphonium Salts (포스포늄 염을 포함한 폴리스티렌 공중합체의 감습 성질)

  • Paek, Jee-Seon;Gong, Myoung-Seon
    • Korean Journal of Materials Research
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    • v.5 no.6
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    • pp.715-722
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    • 1995
  • Vinylbenzyl triphenyl phosphonium chloride (VTPC) was prepared for the humid membrane. The humidity sensitive memo)lane was composed of copolymers, which have differnet content of VTPC and styrene (VTPC : ST=1 : 0.7 : 3, 5 : 5, 3 : 7). The changes in electrical properties of copolymers with relative humidity were measured. It was found that the impedance decreased with an increase of the content of VTPC in the humid membrane, and the Impedance also decreased with an increase of thickness of humid membrane. The copolymer derived from same equip of VTPC and ST showed 12M$\Omega$-100M$\Omega$ at 70%RH-90%RH, which was required for the current humidity sensor operating at high humidity or dew point. The temperature dependence coefficient at a temperature range 15$^{\circ}C$∼35$^{\circ}C$ was found to be -0.5%RH/$^{\circ}C$ and the hysterisis fabled within the range ${\pm}$2%RH. The response time was found to be 40seconds for varing relative humidity from 75% RH to 95%RH and vice versa.

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A Case Study of Tsukuba Tornado in Japan on 6 May 2012

  • Choo, Seonhee;Min, Ki-Hong;Kim, Kyung-Eak;Lee, Gyuwon
    • Journal of the Korean earth science society
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    • v.39 no.5
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    • pp.403-418
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    • 2018
  • This study conducted synoptic and mesoscale analyses to understand the cause of Japan Tsukuba tornado development, which occurred at 0340 UTC 6 May 2012. Prior to the tornado occurrence, there was a circular jet stream over Japan, and the surface was moist due to overnight precipitation. The circular jet stream brought cold and dry air to the upper-level atmosphere which let strong solar radiation heat the ground with clearing of sky cover. A tornadic supercell developed in the area of potentially unstable atmosphere. Sounding data at Tateno showed a capping inversion at 900 hPa at 0000 UTC 6 May. Strong insolation in early morning hours and removal of the inversion instigated vigorous updraft with rotation due to vertical shear in the upper-level atmosphere. This caused multiple tornadoes to occur from 0220 to 0340 UTC 6 May 2012. When comparing Tateno's climatological temperature and dew-point temperature profile on the day of event, the mid-level atmosphere was moister than typical sounding in the region. This study showed that tornado development in Tsukuba was caused by a combination of (a) topography and potential vorticity anomaly, which increased vorticity over the Kanto Plain; (b) vertical shear, which produced horizontal vortex line; and c) thermal instability, which triggered supercell and tilted the vortex line in the vertical.

A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors (기계학습 기반의 로드킬 발생 예측과 영향 요인 탐색에 대한 연구)

  • Sojin Heo;Jeeyoung Kim
    • Journal of Environmental Impact Assessment
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    • v.33 no.2
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    • pp.74-83
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    • 2024
  • This study aims to estimate roadkill occurrences and investigate influential factors in Chungcheongnam-do, contributing to the establishment of roadkill prevention measures. By comprehensively considering weather, road, and environmental information, machine learning was utilized to estimate roadkill incidents and analyze the importance of each variable, deriving primary influencing factors. The Gradient Boosting Machine (GBM) exhibited the best performance, achieving an accuracy of 92.0%, a recall of 84.6%, an F1-score of 89.2%, and an AUC of 0.907. The key factors affecting roadkill included average local atmospheric pressure (hPa), average ground temperature (℃), month, average dew point temperature (℃), presence of median barriers, and average wind speed (m/s). These findings are anticipated to contribute to roadkill prevention strategies and enhance traffic safety, playing a crucial role in maintaining a balance between ecosystems and road development.

Simulation of Local Climate and Crop Productivity in Andong after Multi-Purpose Dam Construction (임하 다목적댐 건설 후 주변지역 기후 및 작물생산력 변화)

  • 윤진일;황재문;이순구
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.42 no.5
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    • pp.579-596
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    • 1997
  • A simulation study was carried out to delineate potential effects of the lake-induced climate change on crop productivity around Lake Imha which was formed after a multi-purpose dam construction in Andong, Korea. Twenty seven cropping zones were identified within the 30 km by 25 km study area. Five automated weather stations were installed within the study area and operated for five years after the lake formation. A geostatistical method was used to calculate the monthly climatological normals of daily maximum and minimum temperature, solar radiation and precipitation for each cropping zone before and after the dam construction. Daily weather data sets for 30 years were generated for each cropping zone from the monthly normals data representing "No lake" and "After lake" climatic scenarios, respectively. They were fed into crop models (ORYZA1 for rice, SOYGRO for soybean, CERES-maize for corn) to simulate the yield potential of each cropping zone. Calculated daily maximum temperature was higher after the dam construction for the period of October through March and lower for the remaining months except June and July. Decrease in daily minimum temperature was predicted for the period of April through August. Monthly total radiation was predicted to decrease after the lake formation in all the months except February, June, and September and the largest drop was found in winter. But there was no consistent pattern in precipitation change. According to the model calculation, the number of cropping zones which showed a decreased yield potential was 2 for soybean and 6 for corn out of 27 zones with a 10 to 17% yield drop. Little change in yield potential was found at most cropping zones in the case of paddy rice, but interannual variation was predicted to increase after the lake formation. the lake formation.

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River Water Temperature Variations at Upstream of Daecheong Lake During Rainfall Events and Development of Prediction Models (대청호 상류 하천에서 강우시 하천 수온 변동 특성 및 예측 모형 개발)

  • Chung, Se-Woong;Oh, Jung-Kuk
    • Journal of Korea Water Resources Association
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    • v.39 no.1 s.162
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    • pp.79-88
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    • 2006
  • An accurate prediction of inflow water temperature is essentially required for real-time simulation and analysis of rainfall-induced turbidity 烈os in a reservoir. In this study, water temperature data were collected at every hour during the flood season of 2004 at the upstream of Daecheong Reservoir to justify its characteristics during rainfall event and model development. A significant drop of river water temperature by 5 to $10^{\circ}C$ was observed during rainfall events, and resulted in the development of density flow regimes in the reservoir by elevating the inflow density by 1.2 to 2.6 kg/$m^3$ Two types of statistical river water temperature models, a logistic model(DLG) and regression models(DMR-1, DMR-2, DMR-3) were developed using the field data. All models are shown to reasonably replicate the effect of rainfall events on the water temperature drop, but the regression models that include average daily air temperature, dew point temperature, and river flow as independent variables showed better predictive performance than DLG model that uses a logistic function to determine the air to water relation.

The Variation of Water Temperature and Turbidity of Stream Flows entering Imha Reservoir (임하호 유입지천의 수온과 탁도 변화)

  • Kim, Woo-Gu;Jung, Kwan-Soo;Yi, Yong-Kon
    • Korean Journal of Ecology and Environment
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    • v.39 no.1 s.115
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    • pp.13-20
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    • 2006
  • The changing patterns of water temperature and turbidity in streams entering Imha Reservoir were studied. The turbidity variation near the intake tower in Imha Reservoir was investigated in relation with the variation of water temperature and turbidity in streams. Water temperature was estimated using multi-regression method with air temperature and dew point as independent variables. Peak turbidity was also estimated using non-linear regression method with rainfall intensity as an independent variable. Although more independent variables representing watershed characteristics seem to be needed to increase estimation accuracies, the methodology used in this study can be applied to estimate water temperature and peak turbidity in other streams.

Implementation of Flooding Routing Protocol for Field sever using Weather Monitoring System (국지기상 모니터링용 필드서버를 위한 플러딩 라우팅 프로토콜의 구현)

  • Yoo, Jae-Ho;Lee, Seung-Chul;Chung, Wan-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.1
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    • pp.233-240
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    • 2011
  • A field server was developed by using ubiquitous sensor network technology to monitor the abrupt weather variation in local or mountain area. The data transmissions between deployed field servers in local terrain are very important technology in disaster prevention monitoring system. Weather related information such as temperature, humidity, illumination, atmospheric pressure, dew point and meteorological data are collected from the designated field at a regular interval. The received information from the multiple sensors located at the sensor field is used flooding routing protocol transmission techniques and the sensing data is transferred to gateway through multi-hop method. Telosb sensor node are programmed by nesC language in TinyOS platform to monitor the weather parameters of the local terrain.

Coastal and Marine Environment Monitoring System using Flooding Routing Protocol (플러딩 라우팅 프로토콜을 이용한 연안.해양 환경모니터링 시스템)

  • Yoo, Jae-Ho;Lee, Seung-Chul;Kim, Jong-Jin;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.180-183
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    • 2011
  • Recently, environmental problems have been deteriorating rapidly. Therefore, there is an urgent need to establish policies and research in the conservation of the global environment. Many researchers are studied in environment systems to prevent and reduce pollution of water, air and soil actively. In this paper, several parameters such as temperature, humidity, illumination, barometric pressure, dew point, water quality data, and air conditions are collected and transmitted thorough wireless sensor network. The field server is located in the coastal and marine area so that any abrupt changes can be detected quickly. In addition, WSN based flooding routing protocol for efficient data transmission is designed to support and monitor information of climate and marin factors.

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