• 제목/요약/키워드: air index

검색결과 1,081건 처리시간 0.029초

도심 녹음수의 체감온도지수(WBGT) 조절효과 (The Effect of Urban Shade Trees on the WBGT(Wet Bulb Globe Thermometer Index))

  • 주민진;이춘석;류남형
    • 한국조경학회지
    • /
    • 제32권3호
    • /
    • pp.51-59
    • /
    • 2004
  • Focusing on WBGT(Wet Bulb Globe Thermometer Index) according to the LAI(Leaf Area Index) variation of trees, this study verifies the effects of urban shade trees on the outdoor thermal environment. As for methodology, air$.$globe temperature, air humidity and WBGT were measured under three shade trees whose LAIs were 2.1, 4.0 and 8.2 respectively at midday(12:00-13:00) of 14 sunny days from the 4th through the 29th day of September 2003. Those factors were also measured at the unshaded areas and compared with the values of shaded areas. The measured site was paved with interlocking concrete bricks. The measurements were analyzed through the ANCOV A(Analysis of Covariance) and the regression routines of SPSS11 for windows (SPSS Inc., 2001). The major findings were as follows. 1. The direct correlation between WBGT and LAI was very low. On the contrary, the WBGT showed close correlation with air$.$globe temperature and air humidity, and the LAI also showed very close correlation with globe temperature. These results tell that dominant shading effect by the tree is on the screening of direct solar radiation which lower the globe temperature and WBGT consequently. 2. While the average globe temperatures and WBGT at unshadowed area were 40.4$^{\circ}C$ and 26.2$^{\circ}C$ respectively, the former under the shade tree with LAI 2.1, 4.0 and 8.2 were 34.5$^{\circ}C$, 32.6$^{\circ}C$ and 30.2$^{\circ}C$, and the latter were 24.6$^{\circ}C$, 24$^{\circ}C$ and 23.4$^{\circ}C$ respectively. 3. The relationship between LAI(x) and WBGT(y) can be presented with the following equation: y = 24.23+1.53 $e^{-x}$+0.36x $e^{-x}$+0.46 $x^2$ $e^{-x}$ ($R^2$ =.98) =.98)

Relationship between Phenological Stages and Cumulative Air Temperature in Spring Time at Namsan

  • Min, Byeong-Mee;Yi, Dong-Hoon;Jeong, Sang-Jin
    • Journal of Ecology and Environment
    • /
    • 제30권2호
    • /
    • pp.143-149
    • /
    • 2007
  • To certify predictability for the times of phenological stages from cumulative air temperature in springtime, the first times of budding, leafing, flower budding, flowering and deflowering for 14 woody plants were monitored and air temperature was measured from 2005 to 2006 at Namsan. Year day index (YDI) and Nuttonson's Index (Tn) were calculated from daily mean air temperature. Of the 14 woody species, mean coefficient of variation was 0.04 in Robinia pseudo-acacia and 0.09 in Alnus hirsuta. However, mean coefficient of variation was 0.30 in Forsythia koreana and Stephanandra incisa and 0.32 in Zanthoxylum schinifolium. Therefore, the times of each phenological stage could be predicted in the former two species but not in latter three species by two indices. Of the five phenological stages, mean coefficient of variation was the smallest at deflowering time and the largest at budding time. In five phenological stages, mean coefficient of variation of YDI was in the range of $0.11{\sim}0.21$ but that of Tn was in the range of $0.15{\sim}0.26$. Therefore, the former was a better index than the latter. Of the species-phenological stage pair, coefficient of variation of YDI was 0.01 in Acer pseudo-sieboldianum - flower budding and below 0.05 in 11 pairs, whereas the YDIs over 0.40 were 4 pairs comprising of Prunus leveilleana - budding (0.51). Coefficient of variation of Tn was 0.01 in A. hirsuta - budding and below 0.05 in 8 pairs. The Tns over 0.40 were 5 pairs comprising of F. koreana - flower budding (0.66).

오염물질기준지수(Pollutant Standards Index)를 이용한 대기질의 평가 -서울특별시 대기오염도에 대하여- (An Assessment of Air Pollution using Pollutant Standards Index (PSI) : $1983{\sim}1984$ in Seoul)

  • 정용;장재연;권숙표
    • Journal of Preventive Medicine and Public Health
    • /
    • 제19권1호
    • /
    • pp.65-75
    • /
    • 1986
  • In order to assess the general health effect due to air pollution and to determine the critical pollutant which is meant by the worst effect to health among various pollutants in Seoul, air quality measurements at 10 sites during $1983{\sim}1984$ were analyzed using Pollutant Standards Index(PSI) : This index has been ultimately proposed to describe the comprehensive degree of the air pollution by U.S. Environmental Protection Agency(EPA) since 1976. Total average of PSI in Seoul during the two years was 139 that is described in 'unhealthful' The highest PSI appeared in Winter 183 through the 2 years, the lowest in Summer 99, and Spring 129 and Fall 150 respectively, PSI in Deungchon dong and Seongsu dong which are industrial areas were very high in terms of 'very unhealthful', while shinlim dong was shown in low in terms of 'good'. TSP was a priority pollutant in Seoul as the most frequently occuring critical pollutant. Its frequency was 76.4% in Spring, 86.0% in Summer, 78.0% in Fall and 44.2% in Winter during the 2 years. In Winter, $TSP{\times}SO_2$ was an important term as the critical pollutant in Seoul. Oxidant was the most frequently occuring critical pollutant in Kwangwhamoon through the whole seasons. It was recommended that the PSI could be used to assess the air pollution administratively and legally in context with publich health.

  • PDF

시내버스 실내공기질 IAQ 종합지수 개발 (Development of IAQ Index for Indoor Air Quality in City Buses)

  • 전보일;곽민정;강상현;김종철;윤현준;김호현
    • 한국환경보건학회지
    • /
    • 제46권4호
    • /
    • pp.444-456
    • /
    • 2020
  • Objectives: This study developed an index for the indoor air quality management of city buses to allow the provision of indoor air quality information to city bus users. Methods: Nine city buses in Seoul were measured for PM10, PM2.5, CO2, temperature, and relative humidity through IoT sensors. Big data collected through the sensors was analyzed to identify indoor air quality on city buses and graded through the index. Results: As a result of dividing the measured city bus data into five grades through the IAQ index, PM10 was rated "good" for 30.4% of the total measured values, and 9.2% were rated "risky". For PM2.5, 67.7 percent were rated "good" and 0.4 percent were rated "risky". For CO2, 0.9% were 'good' and 1.1% were 'risky'. The results of the classification through the IAQ index for city buses showed that the impact of good, normal, sensitive, bad, and dangerous were 2.7, 38.8, 46.0, 12.4, and 0.1%, respectively. According to the analysis by measurement area, Seocho-gu, Gangnam-gu, Seongdong-gu, Gwangjin-gu, and Dobong-gu are "normal" and other areas (Seodaemoon-gu, Jongno-gu, Yongsan-gu, Jung-gu, Seongbuk-gu, Dongdaemun-gu, Junggye-gu, Gangbuk-gu, and Nowon-gu) are all rated "sensitive". Conclusions: When analyzing cases where PM10 and CO2 indices are in the "bad" zone, the concentration is generally found to increase during rush hour, during which there are a large number of passengers. It is expected that indoor air quality management in vehicles will be necessary during rush hour.

현장계측 데이터를 이용한 일평균 대기온도 산정방법과 동상방지층 설계를 위한 동결지수 보정 (Computing Procedure of Daily Average Air Temperature using Field Data and Frost Index Calibration for Anti-Frost Heave Layer Design)

  • 조명환;김낙석;심재필
    • 대한토목학회논문집
    • /
    • 제31권3D호
    • /
    • pp.433-439
    • /
    • 2011
  • 도로의 동상방지층을 설치하기 위하여 동결심도(동결관입깊이)를 산정하는데, 동결지수는 $0^{\circ}C$ 이하의 기온과 영하온도의 지속시간을 곱한 값을 연간을 통하여 누계한 수치로 표시된다. 따라서, 일평균 대기 온도를 구하는 방법이 동결지수에 영향을 미칠 수 있다. 기상청의 경우 1999년을 기점으로 이전에는 1일 4회 평균 대기온도 제공하였으며, 현재는 1일 8회 평균 대기온도를 제공하고 있다. 본 연구에서는 이러한 일평균 대기온도를 산정하는 방법이 동결지수의 산정결과에 미치는 영향을 확인하기 위하여 한반도 남부(동결지수 $350^{\circ}C{\cdot}$일 미만) 6개 지역을 현장조건(저성토부, 절성경계부 및 절토부)에 따라 구분하여 15개소에 대하여 현장계측시스템을 구축하였다. 그리고 현장계측시스템으로부터 얻어진 대기온도를 통하여 동결지수를 산정하고 상호 비교분석 하였다. 비교분석 결과 일반적으로 1일 4회 평균 대기온도를 사용한 경우가 1일 8회 평균 대기온도를 사용하는 경우보다 약 3% 전후 큰 것으로 나타났으며, 본 연구 지역에 대한 동결지수를 결정할 때 동결지수를 보정할 수 있는 보정식을 제안하였다.

Multicity Seasonal Air Quality Index Forecasting using Soft Computing Techniques

  • Tikhe, Shruti S.;Khare, K.C.;Londhe, S.N.
    • Advances in environmental research
    • /
    • 제4권2호
    • /
    • pp.83-104
    • /
    • 2015
  • Air Quality Index (AQI) is a pointer to broadcast short term air quality. This paper presents one day ahead AQI forecasting on seasonal basis for three major cities in Maharashtra State, India by using Artificial Neural Networks (ANN) and Genetic Programming (GP). The meteorological observations & previous AQI from 2005-2008 are used to predict next day's AQI. It was observed that GP captures the phenomenon better than ANN and could also follow the peak values better than ANN. The overall performance of GP seems better as compared to ANN. Stochastic nature of the input parameters and the possibility of auto-correlation might have introduced time lag and subsequent errors in predictions. Spectral Analysis (SA) was used for characterization of the error introduced. Correlational dependency (serial dependency) was calculated for all 24 models prepared on seasonal basis. Particular lags (k) in all the models were removed by differencing the series, that is converting each i'th element of the series into its difference from the (i-k)"th element. New time series is generated for all seasonal models in synchronization with the original time line & evaluated using ANN and GP. The statistical analysis and comparison of GP and ANN models has been done. We have proposed a promising approach of use of GP coupled with SA for real time prediction of seasonal multicity AQI.

온도, 습도, 기류를 이용한 하절기 VRF 시스템의 쾌적 제어 알고리즘 개발 (Development of Comfort Control Logic for VRF System in Summer Season by using 3 Environment Factors(Temperature, Humidity and Air flow))

  • 김종민;최재붕;이상원;조두호;이필호;김영진
    • 설비공학논문집
    • /
    • 제23권9호
    • /
    • pp.610-619
    • /
    • 2011
  • This paper investigates the simplified comfort index and control logic for VRF (Variable Refrigerant Flow) system by using 3 environmental factors such as temperature, humidity and air flow. Indoor test under thermal load was conducted to explore relationship of each environment factors that is related to simplified comfort index. Simplified comfort function that has 3 environmental variables was proposed based on survey results. Each factor is measured and comfort preference was surveyed by more than 30 subjects in the indoor comfort test. Moreover, control logic for VRF system was developed and then simulated by using thermal load calculation method and verified with test. The proposed comfort function was in good agreement with survey results, and also verification test trend of comfort change and maintenance are quite similar with survey. Furthermore, through the additional test data analysis some differences of comfort according to position of people staying in the test room were additionally investigated by air flow. People being under an exit of air in the indoor air-conditioner feel more comfortable condition and speed of response to comfort change is relatively fast.

GB-SAR 간섭기법으로 측정된 X-밴드 대기 굴절률의 상대습도, 기온 및 기압에 따른 변화 (Change of Refractive Index of Air in X-band due to Atmospheric Humidity, Temperature and Pressure measured by GB-SAR Interferometry)

  • 이재희;이훈열;조성준;성낙훈;김광은
    • 대한원격탐사학회지
    • /
    • 제27권2호
    • /
    • pp.163-170
    • /
    • 2011
  • 이 논문은 X-밴드 Ground-Based Synthetic Aperture Radar (GB-SAR) 시스템을 이용하여 5개의 삼각삼면반사체(triangular trihedral corner reflector)의 시간에 따른 위상변화를 분석하였다. 각각의 반사체는 시스템으로부터의 거리를 다르게 설정하여 고정시켰고 모든 편파에 대한 영상을 20 분 간격으로 123 회, 총 40 시간 동안 연속 측정하였다. SAR 간섭기법(interferometry)을 이용한 분석 결과 반사체는 고정된 상태임에도 불구하고 시간에 따라 최대 2 radian의 위상차가 나타났으며 기상요소와 유사한 추세를 보였다. 대기 중 굴절률을 고려한 GB-SAR 위상관계식을 통하여 대기 중 습도, 기온 및 기압의 변화에 따른 마이크로파 굴절률의 변화 양상을 회귀분석을 통하여 살펴보았다. 그 결과 X-밴드의 굴절률은 습도 및 기온과 비교적 높은 선형적 관계를 보였으나(평균 결정계수 각각 0.72, 0.76) 기압과는 그렇지 않았다(결정계수 0.34). 실험 기간 동안 습도는 약 50 %에서 90 %까지, 기온은 $-1^{\circ}C$에서 $9^{\circ}C$까지 변하였으며 X-밴드 굴절률의 변화는 약 $3.14{\times}10^{-5}$였다. 향후 보다 다양한 기상조건에서 실험이 이루어진다면 습도, 기온 및 기압 조건에 따른 굴절률의 포괄적 관계식을 유추할 수 있을 것으로 기대된다.

Air Pollution Changes of Jakarta, Banten, and West Java, Indonesia During the First Month of COVID-19 Pandemic

  • PRAMANA, Setia;PARAMARTHA, Dede Yoga;ADHINUGROHO, Yustiar;NURMALASARI, Mieke
    • Asian Journal of Business Environment
    • /
    • 제10권4호
    • /
    • pp.15-19
    • /
    • 2020
  • Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.