Sensitivity analysis of the dust emission treatment in CMAQv5.2.1 and its application to long-range transport over East Asia

Kong, Steven Soon-Kai; Fu, Joshua S.; Dong, Xinyi; Chuang, Ming-Tung; Ooi, Maggie Chel Gee; Wei, Huang; Griffith, Stephen M.; Pani, Shantanu Kumar; Lin, Neng Huei

doi:10.1016/j.atmosenv.2021.118441

Cited by 10 publications

(20 citation statements)

References 39 publications

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“…API is developed with the combination of APTI value of each individual species along with some morphological (Plant habit, canopy structure, types of plant, laminar structure) and socioeconomic characters (Mondal et al, 2011). Dust, particulate matter and heavy metal are the most prevalent and rapidly effecting environment causing critical problems to living organism (Xiu et al, 2020; Kong et al, 2021). Plants are the best e cient at accumulate and capture to heavy metal and dust particle.…”

Section: Introductionmentioning

confidence: 99%

Pollution resistance assessment of plants around chromite mine based on anticipated performance index, dust capturing capacity and metal accumulation index

Mandal

Dhal

2022

Environ Sci Pollut Res

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Plant species sustaining under a polluted environment for long time are considered as potentially resistant species. Those plant species can be considered as an eco-sustainable tool used to bio-monitor and mitigate pollution. This study was carried out on total ten commonly available plant species to assess their anticipated performance index (API), Dust capturing capacity (DCC) and Metal accumulation index (MAI) in chromite mine and control area. According to Anticipated performance index (API) Macranga peltata, Holarrhena pubescens and Ficus hispida are highly tolerant species while Terminalia arjuna and Trema orientalis are intermediate tolerant species. Ficus hispida was also showed the highest dust capturing capacity (5.94 ± 0.43 mg/cm 2 ) and whereas Woodfordia fruticosa (1.03 ± 0.11 mg/cm 2 ) was found to be lowest. Metal accumulation index ranged from 17.29 to 4.5 and 6.38 to 1.94 at mine and control area respectively. Two-way ANOVA analysis revealed area wise signi cant differences between biochemical and physiological parameters. Also, result showed that the pollution level and heavy metal affected different biochemical and physiological parameter of plant species at mining area. The plant species with highest API, DCC and MAI value could be recommended for greenbelt development in different polluted area.

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Section: Introductionmentioning

confidence: 99%

Pollution resistance assessment of plants around chromite mine based on anticipated performance index, dust capturing capacity and metal accumulation index

Mandal

Dhal

2022

Environ Sci Pollut Res

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“…For the emissions databases fed into CMAQ, MICS-ASIA III (Li et al, 2017) from an emission base year of 2010 was used for domains 1-3, the primary anthropogenic emissions areas in East Asia, while TEDS 10 (Taiwan Emission Data System, version 10) (TWEPA, 2019, https://teds.epa.gov.tw/), from an emission base year of 2016 was used for Domain 4. This study proportionally adjusted the base year pollutant emissions from 2010 to 2017 in China as described by Zhang et al (2018), with explicit details provided in our previous studies (Griffith et al, 2020;Kong et al, 2021). For biogenic emissions, MEGAN version 2.1 (Model of Emissions of Gases and Aerosols from Nature, Guenther et al, 2012) was used for Domains 1-3, and BEIS3 version 3.09 (Biogenic Emission Inventory System, Vukovich and Pierce, 2002) was used for Domain 4.…”

Section: Models and Modeling Configurationmentioning

confidence: 99%

Satellite-based Emission Inventory Adjustments Improve Simulations of Long-range Transport Events

Wei

Griffith

Lin

et al. 2021

Aerosol Air Qual. Res.

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Long-range pollution transport (LRT) events have a wide impact across East Asia, but are often difficult to track due to imprecise emission inventories and changing domain scales as the plume moves from source to receptor locations. This study adjusts a bottom-up emission inventory based on changes in remotely sensed NO2 column densities for a source region of East Asia, then with CMAQv5.2.1 simulates transport of LRT plumes to Taiwan. Adjustment of an emissions inventory based on satellite measurements during the COVID-19 lockdown in China led to a ~59% reduction in emissions over the relevant source area in China compared to base emissions. As a result, PM2.5 mass concentrations were reproduced to match observations (mean fractional bias, MFB of -13.9% and 18.5% at a remote and urban station) as the plume passed through northern Taiwan. Furthermore, the OMI-adjusted emissions simulation brought all of the major PM2.5 components to within ~50% of the measured values. Another LRT event from 2018 with more subtle OMI-adjustments to the emissions was also simulated and with improved overall PM2.5 mass concentration at the northern tip of Taiwan (MFB: -91.5%) compared to the base model (MFB: -102.1%), and an acceptable index of agreement (0.78). For the 2018 event, non sea-salt sulfate concentrations were consistently underpredicted (0.2-0.4), while nitrate concentrations were overpredicted by up to factor of 11. Copernicus Atmosphere Monitoring Service (CAMS) reanalysis of the PM2.5 concentrations shows high sulfate concentrations in eastern China in the areas associated with 72-h back-trajectories from northern Taiwan during both events, lending support for future model investigations of sulfate source area production and transport to Taiwan. In order to better track these LRT events out of East Asia and optimize OMI-adjustment methodology, it is recommended to explore other satellite-based products to map unaccounted for SO2 sources upstream of Taiwan.

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“…The plume rise module (PLMRIM) derives the initial plume top and bottom, plume rise, and its dispersion according to the atmospheric stability and its residual buoyancy flux (Kukkonen et al, 2014). Among a wide range of PLM-RIM approaches, the simplest plume rise allocation method is the direct allocation of the initial plume top and bottom through prescribed height for all fires.…”

Section: Case Study Setupmentioning

confidence: 99%

“…However, there are many possible factors that govern the actual plume rise condition, including the fire size, vegetation cover, buoyancy heat flux, wind drag, boundary layer condition, etc. (Freitas et al, 2010;Kukkonen et al, 2014;Paugam et al, 2016;Val Martin et al, 2012). Furthermore, the accuracy of the model depends greatly on the plume rise condition.…”

Section: Introductionmentioning

confidence: 99%

Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean

Ooi

Chuang

et al. 2021

Atmos. Chem. Phys.

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Abstract. Plumes from the boreal spring biomass burning (BB) in northern peninsular Southeast Asia (nPSEA) are lifted into the subtropical jet stream and transported and deposited across nPSEA, South China, Taiwan and even the western North Pacific Ocean. This paper as part of the Seven SouthEast Asian Studies (7-SEAS) project effort attempts to improve the chemical weather prediction capability of the Weather Research and Forecasting coupled with the Community Multiscale for Air Quality (WRF–CMAQ) model over a vast region, from the mountainous near-source burning sites at nPSEA to its downwind region. Several sensitivity analyses of plume rise are compared in the paper, and it is discovered that the initial vertical allocation profile of BB plumes and the plume rise module (PLMRIM) are the main reasons causing the inaccuracies of the WRF–CMAQ simulations. The smoldering emission from the Western Regional Air Partnership (WRAP) empirical algorithm included has improved the accuracies of PM10, O3 and CO at the source. The best performance at the downwind sites is achieved with the inline PLMRIM, which accounts for the atmospheric stratification at the mountainous source region with the FINN burning emission dataset. Such a setup greatly improves not only the BB aerosol concentration prediction over near-source and receptor ground-based measurement sites but also the aerosol vertical distribution and column aerosol optical depth of the BB aerosol along the transport route. The BB aerosols from nPSEA are carried by the subtropical westerlies in the free troposphere to the western North Pacific, while BB aerosol has been found to interact with the local pollutants in the Taiwan region through three conditions: (a) overpassing western Taiwan and entering the central mountain area, (b) mixing down to western Taiwan, (c) transport of local pollutants upwards and mixing with a BB plume on higher ground. The second condition, which involves the prevailing high-pressure system from Asian cold surge, is able to impact most of the population in Taiwan.

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Sensitivity analysis of the dust emission treatment in CMAQv5.2.1 and its application to long-range transport over East Asia

Cited by 10 publications

References 39 publications

Pollution resistance assessment of plants around chromite mine based on anticipated performance index, dust capturing capacity and metal accumulation index

Pollution resistance assessment of plants around chromite mine based on anticipated performance index, dust capturing capacity and metal accumulation index

Satellite-based Emission Inventory Adjustments Improve Simulations of Long-range Transport Events

Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean

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