• Journal of Sensor Science and Technology
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• v.18 no.3
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• pp.245-250
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• 2009

The paper presents the wireless wind chill temperature measurement system that is composed of IEEE 802.15.4 standard wireless communication devices, hot film anemometer and serial communication temperature sensor. It's sometimes very difficult for a person, who lives in a high-rise apartment, to see the outside wind chill temperature due to harsh outside weather. The wind chill temperature is calibrated from an air velocity and air temperature. IEEE 802.15.4 standard wireless communication is ZigBee compatible, and consumes low power in communication. Under the air temperature of 5 $^{\circ}C$ and air velocity ranging from 0 to 50 km/h, the experimental result of wind chill temperature shows good accuracy within 5%.

• Microbiology and Biotechnology Letters
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• v.49 no.3
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• pp.425-431
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• 2021

The use of big data may facilitate the recognition and interpretation of causal relationships between disease occurrence and climatic variables. Considering the immense contribution of rhinoviruses in causing respiratory infections, in this study, we examined the effects of various climatic variables on the seasonal epidemiology of rhinovirus infections in the temperate climate of Cheonan, Korea. Trends in rhinovirus detection were analyzed based on 9,010 tests performed between January 1, 2012, and December 31, 2018, at Dankook University Hospital, Cheonan, Korea. Seasonal patterns of rhinovirus detection frequency were compared with the local climatic variables for the same period. Rhinovirus infection was the highest in children under 10 years of age, and climatic variables influenced the infection rate. Temperature, wind chill temperature, humidity, and particulate matter significantly affected rhinovirus detection. Temperature and wind chill temperature were higher on days on which rhinovirus infection was detected than on which it was not. Conversely, particulate matter was lower on days on which rhinovirus was detected. Atmospheric pressure and particulate matter showed a negative relationship with rhinovirus detection, whereas temperature, wind chill temperature, and humidity showed a positive relationship. Rhinovirus infection was significantly related to climatic factors such as temperature, wind chill temperature, atmospheric pressure, humidity, and particulate matter. To the best of our knowledge, this is the first study to find a relationship between daily temperatures/wind chill temperatures and rhinovirus infection over an extended period.

• Journal of Environmental Science International
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• v.17 no.10
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• pp.1093-1109
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• 2008

This paper aims to provide a fundamental basis for the improvement and verification of existing wind chill temperature index through the observation of skin temperature change of human body with air temperature and wind speed. For this, we control air temperature $5^{\circ}C$ interval from $0^{\circ}C$ to $-20^{\circ}C$ and classify wind speed by 0, 2, 6 and 8 m $s^{-1}$ respectively. The results are as follows; At each combination of air temperature and wind speed, the reduction rate of the mean skin temperature are different. When our body is exposed to the atmosphere, the mean skin temperature decreases at an exponential rate. The duration of the steady state is more than one hour, while it decreases with strong wind speed. Among 4 sites on a face, the skin temperature of forehead is the highest, followed by one of chin, left cheek, right cheek in orders. Especially, since the skin temperature of right cheek is the lowest, we think that it is suitable to use the data set of the right cheek skin temperature for the development of a Korea wind chill temperature index as a worst case.

• Journal of the Korean earth science society
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• v.28 no.7
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• pp.891-902
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• 2007

This paper aims to develop a Korea wind chill temperature index using an experimental method. For this, the researchers carried out a preliminary experiment in order to of for provisions necessary for the selection and safety of test participants, accuracy of experiment, and readiness for various situations that may occur during experiment. The researchers also investigated test subjects' safety and experiment conditions in which wind speed changes from calm condition into strong wind speed condition under the constant air temperature of $5^{\circ}C$. The results of this study are as follows. With regard to the variation of facial skin temperature such as forehead, cheek, nose, and chin, the skin temperature of cheek closely appears to depend on the change of air temperature and wind speed, exhibit a stable variation trend of skin temperature, and indicate the lowest temperature than any other facial parts. The skin temperature of women tends to be more sensitive than that of man and the skin temperature of human tends to decrease at weak wind speed under constant air temperature. It was also found that it is not necessary to take the influence of standard wind speed into consideration when a wind chill index is developed.

• Journal of the Korean earth science society
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• v.28 no.7
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• pp.878-890
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• 2007

This study aimed to provide a fundamental basis for the development and promotion of a Korea windchill temperature index model in the field of human biometeorology. For this, a sensitivity model currently being used by KMA (Korea Meteorological Administration) was analyzed. The results of the analysis showed that the Korean peninsula could be divided into the urban area, the coastal/island area, the inland area, and the mountain area. The average temperature was highest in the coastal/island area, while it was lowest in the mountain regions. The lowest temperature in the urban and coastal/island areas was 20 degrees below zero and that in the inland and mountain regions were 30 degrees below zero. As for wind speed, both average and maximum wind speed were highest in the coastal/island area. The distribution of temperature and wind speed in winter was similar to that of the entire period. The results of the JAG/Tl and Missenard model sensitivity showed that temperature tends to have more influence on sensitivity than any other factors. In sub-zero temperature, however, the influence of wind speed tends to increase.

• Journal of the Korean Geographical Society
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• v.37 no.3
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• pp.237-246
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• 2002

This study classified wintertime bioclimatic zones of South Korea based on daytime and nighttime distribution of wind chill index calculated from climate data during the coldest month for latest 30 years (1971- 2000). The results show that the winter daytime and nighttime wind chill index were influenced by climatic factors such as elevation, land-sea breeze, topology, and sea currents etc. as well as climatic components such as temperature, wind speed, and sunshine, so that South Korea was divided into five bioclimatic zones; Cool day- cold night zone, Keen day- Cold night zone, Keen day-Very Cold night zone, Cold day and night zone, and Cold day-Extremely Cold night zone. Especially, coasts and island areas, except for south coast of Korea, shows Keen bioclimatic response during daytime and Very Cold bioclimatic response during nighttime. This indicates that coasts and island areas, except for south coast of Korea are affected by moonson and land-sea breeze. In addition, highly elevated Daegwallyeong shows Cold bioclimatic response during daytime and Extremely Cold during nighttime due to the influence of adiabatic temperature lapse rate and monsoon. This study offers basic data necessary to make decisions concerning insulation such as clothing and architect etc. by classifying winter bioclimatic zones of South Korea based on various daytime and nighttime distribution of wind chill.

• Journal of Climate Change Research
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• v.6 no.3
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• pp.193-201
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• 2015

The aim of this study is to find preferred climate condition for outdoor water activity and to estimate future change of preferred season for the activity following the climate change. We chose urban public swimming pools, Hangang park swimming pools, which do not have any attractions except pools and allow people to make decision to visit pools in the morning solely based on the weather conditions as study sites. We identified the preferred climate conditions by analyzing the relationship between number of visitors and temperature, wind chill temperature and discomfort indexes. According to the result, the preferred temperature range was from $23.51^{\circ}C$ to $37.56^{\circ}C$, the wind chill temperature range was from $25.90^{\circ}C$ to $39.43^{\circ}C$, the discomfort index range was from 71.61 to 88.98 and the precipitation range was below 22.8 mm per day. When the temperature range is applied as the preferred season, in present, the length of the season is 127 days, from end of May to end of September. However, if temperature increase resulting from lower emission scenario (RCP 6.0), the season would be extended to 162 days, from early May to middle of October. If temperature is increasing under high emission scenario (RCP 8.5), the length of the season would be extended to 173 days from early May to end of October. In addition, the period of between end of July and early August, which is currently the most preferred season, would not be favored anymore due to high temperature. The result of this study further suggests the necessity of climate change adaptation activities.

• Microbiology and Biotechnology Letters
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• v.49 no.2
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• pp.249-254
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• 2021

The study of the impact of weather on viral respiratory infections enables the assignment of causality to disease outbreaks caused by climatic factors. A better understanding of the seasonal distribution of viruses may facilitate the development of potential treatment approaches and effective preventive strategies for respiratory viral infections. We analyzed the incidence of human mastadenovirus infection using real-time reverse transcription polymerase chain reaction in 9,010 test samples obtained from Cheonan, South Korea, and simultaneously collected the weather data from January 1, 2012, to December 31, 2018. We used the data collected on the infection frequency to detect seasonal patterns of human mastadenovirus prevalence, which were directly compared with local weather data obtained over the same period. Descriptive statistical analysis, frequency analysis, t-test, and binomial logistic regression analysis were performed to examine the relationship between weather, particulate matter, and human mastadenovirus infections. Patients under 10 years of age showed the highest mastadenovirus infection rates (89.78%) at an average monthly temperature of 18.2℃. Moreover, we observed a negative correlation between human mastadenovirus infection and temperature, wind chill, and air pressure. The obtained results indicate that climatic factors affect the rate of human mastadenovirus infection. Therefore, it may be possible to predict the instance when preventive strategies would yield the most effective results.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.3
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• pp.442-450
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• 2015

Climate temperature affects animal production. This study was conducted to evaluate whether climatic conditions affect beef carcass characteristics of Korean cattle steers. The monthly carcass characteristics of Korean cattle steers (n = 2,182,415) for 8 yr (2006 through 2013) were collected from the Korean Institute for Animal Products Quality Evaluation. Daily climate temperature (CT) and relative humidity (RH) data were collected from the Korean Meteorological Administration. Weather conditions in South Korea during summer were hot and humid, with a maximum temperature of $28.4^{\circ}C$ and a maximum RH of 91.4%. The temperature-humidity index (THI), calculated based on CT and RH, ranges from 73 to 80 during summer. Winter in South Korea was cold, with a minimum temperature of $-4.0^{\circ}C$ and a wind-chill temperature of $-6.2^{\circ}C$. Both marbling score (MS) and quality grade (QG) of Korean cattle steer carcasses were generally best (p<0.05) in autumn and worst in spring. A correlation analysis showed that MS and QG frequencies were not associated (p>0.05) with CT. Yield grade (YG) of Korean cattle steer carcasses was lowest (p<0.05) in winter (November to January) and highest in spring and summer (May to September). A correlation analysis revealed that YG frequency was strongly correlated ($r{\geq}0.71$; p<0.01) with CT and THI values. The rib eye area, a positive YG parameter, was not associated with CT. Backfat thickness (BT), a negative YG factor, was highest in winter (November and December). The BT was strongly negatively correlated ($r{\leq}-0.74$; p<0.01) with CTs. Therefore, the poor YG during winter is likely due in part to the high BT. In conclusion, YG in Korean cattle steer carcasses was worst in winter. QGs were not associated with winter or summer climatic conditions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.347-350
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• 2018

In order for an IoT system to automatically make the house temperature pleasant for the user, the system needs to predict the optimal start-up time of air-conditioner or heater to get to the temperature that the user has set. Predicting the optimal start-up time is important because it prevents extra fee from the unnecessary operation of the air-conditioner and heater. This paper introduces an ANN(Artificial Neural Network) and an IoT system that predicts the cooling and heating time in households using air-conditioner and heater. Many variables such as house structure, house size, and external weather condition affect the cooling and heating. Out of the many variables, measurable variables such as house temperature, house humidity, outdoor temperature, outdoor humidity, wind speed, wind direction, and wind chill was used to create training data for constructing the model. After constructing the ANN model, an IoT system that uses the model was developed. The IoT system comprises of a main system powered by Raspberry Pi 3 and a mobile application powered by Android. The mobile's GPS sensor and an developed feature used to predict user's return.