scholarly journals Solar radiation exposure of shielded air temperature sensors and measurement error evaluation in an urban environment: a preliminary study in Florence, Italy

2009 ◽  
Vol 3 (1) ◽  
pp. 9-12 ◽  
Author(s):  
M. Petralli ◽  
L. Massetti ◽  
S. Orlandini

Abstract. Particularly in summer, thermal conditions in urban areas are influenced by solar radiation and human health can be strongly affected by the higher temperature regime increased by the Urban Heat Island effect (UHI). Many studies have been carried out to estimate the temperature distribution in urban areas and some of these use or are based on data collected by meteorological instruments placed within the cities. At microscale, temperature collected by sensors can be influenced by the underlying surface characteristics and the closeness to warm surfaces. The aim of this study is to investigate how different exposure to solar radiation can affect air temperature measurement in streets and gardens. The study was carried out on two different areas in Florence during summer 2007. Shielded air temperature sensors were placed in a street of a high density built-up area and in a green area. Each area was monitored by two sensors, sited in different solar radiation exposure: one in a sunny area and the other in a shaded one. A preliminary data analysis showed a difference in every site between the air temperature values collected by the two sensors especially from the morning to the afternoon. The relationship between air temperature differences and synoptic meteorological conditions were also analyzed. In conclusion, the solar radiation exposure of a monitoring station is an important parameter that must be considered both during the instruments siting and the analysis of data collected by sensors previously placed. The result of this study shows that during particular synoptic conditions, data collected by the two sensors of the same area can be different.

Climate ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 26
Author(s):  
Jérémy Bernard ◽  
Pascal Kéravec ◽  
Benjamin Morille ◽  
Erwan Bocher ◽  
Marjorie Musy ◽  
...  

Shelters used to protect air temperature sensors from solar radiation induce a measurement error. This work presents a semi-empirical model based on meteorological variables to evaluate this error. The model equation is based on the analytical solution of a simplified energy balance performed on a naturally ventilated shelter. Two main physical error causes are identified from this equation: one is due to the shelter response time and the other is due to its solar radiation sensitivity. A shelter intercomparison measurement campaign performed by the World Meteorological Organization (WMO) is used to perform a non-linear regression of the model coefficients. The regression coefficient values obtained for each shelter are found to be consistent with their expected physical behavior. They are then used to simply classify shelters according to their response time and radiation sensitivity characteristics. Finally, the ability of the model to estimate the temperature error within a given shelter is assessed and compared to the one of two existing models (proposed by Cheng and by Nakamura). For low-response-time shelters, our results reduce the root mean square error by about 15% (0.07 K) on average when compared with other compensation schemes.


Solar Energy ◽  
2014 ◽  
Vol 109 ◽  
pp. 45-53 ◽  
Author(s):  
Adriana Ipiña ◽  
Carolina Castaño ◽  
M. Laura Dántola ◽  
Andrés H. Thomas

2019 ◽  
Vol 51 (Supplement) ◽  
pp. 14
Author(s):  
Hidenori Otani ◽  
Mitsuharu Kaya ◽  
Akira Tamaki ◽  
Heita Goto ◽  
Ronald J. Maughan

Author(s):  
Yoerdy Agusmal Saputra ◽  
Dewi Susanna

To date, coronavirus disease 2019 (COVID-19) is still a threat to public health systems around the world. As of July 25, 2021, the numbers were still increasing in most countries, and the total confirmed cases reached 194,582,750 with 4,171,672 deaths (CFR 2.1%). In Indonesia, 3,166,505 cases were reported with 83,279 deaths (CFR 2.7%) in all provinces and dominated by cases from Jakarta. Therefore, this study aimed to find a correlation and the duration of solar radiation exposure spatially on the pattern of COVID-19 cases. An ecological design was used based on time and place with the integration of geographic information systems and statistical techniques. The correlation test results between solar radiation exposure and COVID-19 cases in Jakarta showed a significant relationship (p = 0.000) with a strong closeness and positive pattern (r = 0.666). Furthermore, the spatial map overlaying solar radiation exposure and COVID-19 cases showed urban villages with high radiation tend to increase in cases earlier than areas with moderate and low. The differences in geographical and temporal conditions are a concern for the Provincial Health Office. This can be a consideration in strengthening more specific prevention and control programs according to the risk level and characteristics of each region.


2016 ◽  
Vol 67 (5) ◽  
pp. 577-587 ◽  
Author(s):  
Alberto Modenese ◽  
Fabio Bisegna ◽  
Massimo Borra ◽  
Carlo Grandi ◽  
Franco Gugliermetti ◽  
...  

2019 ◽  
Vol 70 (6) ◽  
pp. 763-768 ◽  
Author(s):  
Magdalena Salińska ◽  
Hanna Kowalska ◽  
Jolanta Torzecka ◽  
Elżbieta Waszczykowska ◽  
Anna Woźniacka

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Fergus K. O'Connor ◽  
Thomas M. Doering ◽  
Geoffrey M. Minett ◽  
Peter R. Reaburn ◽  
Jonathan D. Bartlett ◽  
...  

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