English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Sensitivity of predicted pollutant levels to anthropogenic heat emissions in Beijing

Yu, M., Carmichael, G. R., Zhu, T., & Cheng, Y. (2014). Sensitivity of predicted pollutant levels to anthropogenic heat emissions in Beijing. Atmospheric Environment, 89, 169-178. doi:10.1016/j.atmosenv.2014.01.034.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Yu, Man1, Author
Carmichael, Gregory R.1, Author
Zhu, Tong1, Author
Cheng, Yafang2, Author           
Affiliations:
1external, ou_persistent22              
2Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              

Content

show
hide
Free keywords: -
 Abstract: A new parameterization method for anthropogenic heat (AH) parameterization (called NewLUCY) is developed in the WRF-Chem model, which estimates hourly heat fluxes with a single-peak diurnal variation pattern and utilizes updated urban built-up land use data. The impacts of accounting for anthropogenic heat (AH) fluxes on the meteorology and air quality of the Greater Beijing area are studied using this upgraded WRF-Chem model system. Including AH is shown to increase the surface temperature by 0.8 degrees C in daytime and 1.2 degrees C at nighttime. The Planetary Boundary Layer (PBL) heights are also increased, with a maximum incrementation exceeding 320 m during daytime and 160 m at night. Spatial and vertical distributions of the simulated pollutants are also impacted by the AH. Surface ozone concentrations increase in the urban areas (4ppb for daytime and 18 ppb for nighttime) when AH is included in the analyses. Moreover, the impacts of AH are not limited to the urban centers, but extend regionally. For example, the simulated PM2.5 concentrations increase in the rural areas as well, due to a decrease in rural precipitation rates when AH is included. In general, incorporation of AH increases the accuracy of the predictions comparing to the observations. At the Peking University site (PKU), the mean error (ME) of the 2-m temperature prediction is reduced from 1.55 degrees C to 0.61 degrees C. The predictions of the high ozone episodes are also improved. (C) 2014 Elsevier Ltd. All rights reserved.

Details

show
hide
Language(s):
 Dates: 2014-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Atmospheric Environment
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford [England] : Pergamon
Pages: - Volume / Issue: 89 Sequence Number: - Start / End Page: 169 - 178 Identifier: ISSN: 1352-2310
CoNE: https://pure.mpg.de/cone/journals/resource/958480288336