Next Article in Journal
How Can Odors Be Measured? An Overview of Methods and Their Applications
Previous Article in Journal
An Extensive Collection of Evaluation Indicators to Assess Occupants’ Health and Comfort in Indoor Environment
Open AccessArticle

High-Resolution Biomass Burning Aerosol Transport Simulations in the Tropics

1
Interdisciplinary Graduate School of Earth System Science and Andaman Natural Disaster Management, Prince of Songkla University, Phuket Campus, Phuket 83120, Thailand
2
CPS Weather Company Limited, Bangkok 10250, Thailand
3
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 91; https://doi.org/10.3390/atmos11010091
Received: 29 November 2019 / Revised: 29 December 2019 / Accepted: 8 January 2020 / Published: 12 January 2020
(This article belongs to the Section Air Quality)
This study evaluates the performance of the Weather Research and Forecasting Model with Chemistry (WRF-Chem) for simulating biomass burning aerosol transport at high resolution in the tropics using two different biomass burning emission inventories. Hourly, daily, and monthly average PM10 dry mass concentrations at 5 km resolution—simulated separately using the Brazilian Biomass Burning Emission Model (WRF-3BEM) and the Fire Inventory from NCAR (WRF-FINN) and their averages (WRF-AVG) for 3 months from February to April—are evaluated, using measurements from ground stations distributed in northern Thailand for 2014 and 2015. Results show that WRF-3BEM agrees well with observations and performs much better than WRF-FINN and WRF-AVG. WRF-3BEM simulations are almost unbiased, while those of WRF-FINN and WRF-AVG are significantly overestimated due to significant overestimates of FINN emissions. WRF-3BEM and the measured monthly average PM10 concentrations for all stations and both years are 89.22 and 87.20 μg m−3, respectively. The root mean squared error of WRF-3BEM simulated monthly average PM10 concentrations is 72.00 and 47.01% less than those of WRF-FINN and WRF-AVG, respectively. The correlation coefficient of WRF-3BEM simulated monthly PM10 concentrations and measurements is 0.89. WRF-3BEM can provide useful biomass burning aerosol transport simulations for the northern region of Thailand.
Keywords: air quality modeling; biomass burning emissions; biomass burning aerosol transport simulation; northern region of Thailand; PM10 concentration; smoke haze episode air quality modeling; biomass burning emissions; biomass burning aerosol transport simulation; northern region of Thailand; PM10 concentration; smoke haze episode
MDPI and ACS Style

Nurzahziani; Surussavadee, C.; Noosook, T. High-Resolution Biomass Burning Aerosol Transport Simulations in the Tropics. Atmosphere 2020, 11, 91.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop