Time-Series Numerical Simulation of Wind Flow Within Urban Canopy Layer and Its Integration Effect for Prediction of Pollutant Concentration Variation

2012 ◽  
Vol 21 (3) ◽  
pp. 355-357 ◽  
Author(s):  
Yun-Wei Zhang ◽  
Zhao-Lin Gu ◽  
Chuck Yu
Keyword(s):  
Numerical Simulation ◽  
Time Series ◽  
Urban Canopy ◽  
Pollutant Concentration ◽  
Wind Flow ◽  
Canopy Layer ◽  
Concentration Variation ◽  
Urban Canopy Layer ◽  
Integration Effect

scholarly journals Application of the WRF/Chem v.3.6.1 on the reanalysis of criteria pollutants over Metro Manila

2019 ◽  
Vol 29 (1) ◽  
Author(s):  
Jacob Alberto Garcia ◽  
Edgar Vallar ◽  
Maria Cecilia Galvez ◽  
Gerry Bagtasa
Keyword(s):  
Time Series ◽  
Urban Areas ◽  
Urban Canopy ◽  
Cold Bias ◽  
Canopy Layer ◽  
Criteria Pollutants ◽  
Pollutant Concentrations ◽  
Significant Difference ◽  
Metro Manila ◽  
Student’S T

AbstractMetro Manila, Philippines and other urban areas have reached internationally known unacceptable levels of pollution where about 80% can be attributed to vehicular emissions. The Weather Research and Forecasting model coupled with Chemistry v.3.6.1 was used in the reanalysis of pollutant concentrations for the year 2013. Initial results from the planetary boundary layer study suggested that the Yonsei University scheme provides a good estimate of the atmosphere’s condition; hence, this setting was used for the succeeding simulations. The land coverage over Sangley point was not properly resolved by the model. This caused a cold bias for the station. Further evaluation of the model’s sea level pressure output for all sites returned high correlations showing that modeled values are in phase with the observed time series; however, wind speed values did not correlate well with the observed values and were all overestimated. The low correlations found were a result of the incapability of the model to detect the urban canopy layer over Metro Manila. Pollutant concentrations were overestimated. The pollutant time series suggests that the model overestimates concentration values for PM10, PM2.5, and SO2, while underestimating NO2 and O3 values. However, it does capture a significant 24-hourly cycle as seen in the time series’ spectra in the frequency domain. Furthermore, through a student’s t-test, the model also captures a significant difference in daytime and nighttime concentrations.

scholarly journals Absolute moisture content in mid-latitude urban canopy layer

2018 ◽  
Vol 51-52 (1) ◽  
pp. 37-45 ◽  
Author(s):  
János Unger ◽  
Nóra Skarbit ◽  
Tamás Gál
Keyword(s):  
Spatial Distribution ◽  
Moisture Content ◽  
Case Studies ◽  
Urban Canopy ◽  
Absolute Humidity ◽  
Temperature Dependent ◽  
Canopy Layer ◽  
Urban Canopy Layer ◽  
Absolute Measure ◽  
Urban Rural

This part of the study on absolute moisture content in the mid-latitude urban canopy layer first gives a comparison on intra-urban relative and absolute humidity patterns showing an example based on a long dataset. The comparison clearly demonstrates the usefulness of the utilization of absolute measure opposite to the temperature dependent relative one. This supports the earlier statements found in the literature albeit these statements are based on only case studies or short datasets. Then a short overview follows which presents the main results of studies about urban absolute moisture content. These studies focused mainly on urban-rural and less on intra-urban humidity differences. The scale differences are used for the grouping of studies based on the number of available measurement sites as well as their spatial distribution and density in the investigated urban regions.

scholarly journals Observations of Air Temperature in the Urban Canopy Layer in Nagahama-city

1998 ◽  
Vol 26 ◽  
pp. 487-492
Author(s):  
Hirohito KIRIHARA ◽  
Takeshi FUJINO ◽  
Takehiko MIKAMI
Keyword(s):  
Air Temperature ◽  
Urban Canopy ◽  
Canopy Layer ◽  
Urban Canopy Layer
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