Evaluation of WRF-Chem PM2.5 simulations in Thailand with different anthropogenic and biomass-burning emissions DOI Creative Commons
Worapop Thongsame, Daven K. Henze, Rajesh Kumar

et al.

Atmospheric Environment X, Journal Year: 2024, Volume and Issue: 23, P. 100282 - 100282

Published: July 30, 2024

Thailand experiences severe air quality issues, predominantly due to PM2.5 pollution that surpasses WHO guidelines. The main sources are attributed energy production, industrial activities, vehicular emissions, agricultural burning, and transboundary transport of pollutants. Understanding the transformation these pollutants is necessary for addressing issues. Weather Research Forecasting Model coupled with Chemistry (WRF-Chem) provides information about meteorology, chemical reactions, trace gases aerosols. accuracy WRF-Chem simulations greatly depends on choice anthropogenic biomass burning emissions inventories. This study a detailed evaluation inventories model concentrations in during both haze off-haze seasons 2019. We evaluated using four emission inventories—CAMS-GLOB-ANT, ECLIPSE, HTAP, REAS—and inventories—FINN1.5, FINN2.5 MOD, MODVAR, QFED—using data from ground-based stations, MODIS AOD, MOPITT CO satellite data. Our findings suggest CAMS-GLOB-ANT performs optimally North Thailand, while HTAP REAS more effective Eastern Thailand. For FINN1.5 shows superior performance. also highlights challenge capturing diurnal variability, particularly inaccuracies simulating planetary boundary layer height nighttime complex terrains. Moreover, our analysis exhibits moderate performances season global regional emphasizing need improving reliable prediction. updating factors reflect Thailand's specific vegetation types recommended improve WRF-Chem's representation levels.

Language: Английский

Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses DOI Creative Commons

Antonin Soulie,

Claire Granier,

Sabine Darras

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(5), P. 2261 - 2279

Published: May 6, 2024

Abstract. Anthropogenic emissions are the result of many different economic sectors, including transportation, power generation, industrial, residential and commercial activities, waste treatment agricultural practices. Air quality models used to forecast atmospheric composition, analyze observations reconstruct chemical composition atmosphere during previous decades. In order drive these models, gridded all compounds need be provided. This paper describes a new global inventory called CAMS-GLOB-ANT, developed as part Copernicus Atmosphere Monitoring Service (CAMS; https://doi.org/10.24380/eets-qd81, Soulie et al., 2023). The provides monthly averages 36 compounds, main air pollutants greenhouse gases, at spatial resolution 0.1° × in latitude longitude, for 17 emission sectors. methodology generate 2000–2023 period is explained, datasets analyzed compared with publicly available regional inventories selected world regions. Depending on species regions, good agreements well significant differences highlighted, which can further explained through an analysis sectors shown figures Supplement.

Language: Английский

Citations

26

Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana DOI Creative Commons
Poonam Mangaraj, Yutaka Matsumi, Tomoki Nakayama

et al.

npj Climate and Atmospheric Science, Journal Year: 2025, Volume and Issue: 8(1)

Published: Jan. 15, 2025

Air pollution impacts on human health are of serious concern in northern India, and over the Delhi National Capital Region (NCR) particular. The Kharif crop residue burning (CRB) is often blamed for degradation Delhi-NCR's seasonal air quality. However, concentration fine particulate matter (PM2.5) remained stable Delhi, while fire detection counts (FDCs) from satellites Punjab Haryana declined by 50% or more during 2015–2023. We measured PM2.5, carbon monoxide (CO) related parameters Delhi-NCR, a network 30 low-cost sensors (CUPI-Gs) selected period (September–November) 2022 2023. Measured PM2.5 showed lower 2023 compared to at sites, compliance with FDC reductions. Using CUPI-G measurements, airmass trajectories, particle dispersion chemical-transport model simulations, we show that CRB emissions contributed only meagre ~14% overall Delhi-NCR October-November 2022. This indicates there exists very weak coupling between mass Punjab, highlighting effectiveness Graded Response Action Plan (GRAP) controlling region.

Language: Английский

Citations

4

MIXv2: a long-term mosaic emission inventory for Asia (2010–2017) DOI Creative Commons
Meng Li,

Junichi Kurokawa,

Qiang Zhang

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(7), P. 3925 - 3952

Published: April 3, 2024

Abstract. The MIXv2 Asian emission inventory is developed under the framework of Model Inter-Comparison Study for Asia (MICS-Asia) Phase IV and produced from a mosaic up-to-date regional inventories. We estimated emissions anthropogenic biomass burning sources covering 23 countries regions in East, Southeast South aggregated to uniform spatial temporal resolution seven sectors: power, industry, residential, transportation, agriculture, open shipping. Compared MIXv1, we extended dataset 2010–2017, included shipping, provided model-ready SAPRC99, SAPRC07, CB05. A series unit-based point source information was incorporated power plants China India. consistent speciation non-methane volatile organic compounds (NMVOCs) applied develop by three chemical mechanisms. total anthropogenic/open sectors 2017 are as follows: 41.6/1.1 Tg NOx, 33.2/0.1 SO2, 258.2/20.6 CO, 61.8/8.2 NMVOC, 28.3/0.3 NH3, 24.0/2.6 PM10, 16.7/2.0 PM2.5, 2.7/0.1 BC (black carbon), 5.3/0.9 OC (organic 18.0/0.4 Pg CO2. contributions India were emerging during especially NH3 particulate matter. Gridded at 0.1° with monthly variations now publicly available. This updated long-term ready facilitate air quality climate model simulations, well policymaking associated analyses.

Language: Английский

Citations

12

Development of a high-resolution integrated emission inventory of air pollutants for China DOI Creative Commons
Nana Wu, Guannan Geng,

Ruochong Xu

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(6), P. 2893 - 2915

Published: June 21, 2024

Abstract. Constructing a highly resolved comprehensive emission dataset for China is challenging due to limited availability of refined information parameters in unified bottom-up framework. Here, by developing an integrated modeling framework, we harmonized multi-source heterogeneous data, including several up-to-date inventories at national and regional scales key species sources generate 0.1° resolution inventory 2017. By source mapping, temporal disaggregation, spatial allocation, spatial–temporal coupling, different are normalized terms categories, chemical species, spatiotemporal resolutions. This achieves the coupling multi-scale, high-resolution with Multi-resolution Emission Inventory (MEIC), forming INTegrated Air pollutants (INTAC). We find that INTAC provides more accurate representations magnitudes patterns. In 2017, China's emissions sulfur dioxide (SO2), nitrous oxides (NOx), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), ammonia (NH3), PM10 PM2.5 (particulate matter), black (BC), (OC) were 12.3, 24.5, 141.0, 27.9, 9.2, 11.1, 8.4, 1.3, 2.2 Tg, respectively. The proportion point SO2, PM10, NOx, increases from 7 %–19 % MEIC 48 %–66 INTAC, resulting improved accuracy, especially mitigating overestimations densely populated areas. Compared MEIC, reduces mean biases simulated concentrations major air 2–14 µg m−3 across 74 cities, compared against ground observations. enhanced model performance particularly evident finer-grid Our new accessible http://meicmodel.org.cn/intac (last access: 15 April 2024) https://doi.org/10.5281/zenodo.10459198 (Wu et al., 2024), it will provide solid data foundation fine-scale atmospheric research air-quality improvement.

Language: Английский

Citations

10

Modeling the transport of PM10, PM2.5, and O3 from South Asia to the Tibetan Plateau DOI

Yuling Hu,

Haipeng Yu,

Shichang Kang

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 303, P. 107323 - 107323

Published: March 6, 2024

Language: Английский

Citations

6

Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) DOI Creative Commons
Lei Kong, Xiao Tang, Zifa Wang

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(9), P. 4351 - 4387

Published: Sept. 26, 2024

Abstract. A new long-term emission inventory called the Inversed Emission Inventory for Chinese Air Quality (CAQIEI) was developed in this study by assimilating surface observations from China National Environmental Monitoring Centre (CNEMC) using an ensemble Kalman filter (EnKF) and Nested Prediction Modeling System. This contains constrained monthly emissions of NOx, SO2, CO, primary PM2.5, PM10, non-methane volatile organic compounds (NMVOCs) 2013 to 2020, with a horizontal resolution 15 km × km. paper documents detailed descriptions assimilation system evaluation results inventory. The suggest that CAQIEI can effectively reduce biases priori inventory, normalized mean ranging −9.1 % 9.5 posteriori simulation, which are significantly reduced simulations (−45.6 93.8 %). calculated root-mean-square errors (RMSEs) (0.3 mg m−3 CO 9.4–21.1 µg m3 other species, on scale) correlation coefficients (0.76–0.94) were also improved simulations, demonstrating good performance data system. Based CAQIEI, we estimated China's total (including both natural anthropogenic emissions) six species 2015 be as follows: 25.2 Tg 17.8 465.4 15.0 40.1 46.0 NMVOCs. From decreased 54.1 44.4 33.6 35.7 15.1 NOx but increased 21.0 It is reductions larger during 2018–2020 (from −26.6 −4.5 %) than 2015–2017 −23.8 27.6 most species. In particular, NMVOC shown increase 2015–2017, especially over Fenwei Plain area (FW), where particulate matter (PM) increased. situation changed 2018–2020, when upward trends contained reversed downward NMVOCs PM FW. suggests control policies may action plan. We compared air pollutant inventories China, verified our inversion terms more importantly identified potential uncertainties current inventories. Firstly, suggested higher (426.8 Tg) being twice amounts previous (120.7–237.7 Tg). Significantly western northeastern pollutants. Secondly, about 30.4 %–81.4 North (NCP) lower %–0.0 southeastern (SE). Thirdly, reduction rates 2015–2018 except CO. have 26.6 2018, NCP (by 38.0 %), 38.3 central (60.0 These provide us insights into complex variations two recent clean-air actions, has improve understanding their impacts quality. All datasets available at https://doi.org/10.57760/sciencedb.13151 (Kong et al., 2023a).

Language: Английский

Citations

6

Global Anthropogenic Emissions of Full-Volatility Organic Compounds DOI
Lyuyin Huang, Bin Zhao, Shuxiao Wang

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(43), P. 16435 - 16445

Published: Oct. 19, 2023

Traditional global emission inventories classify primary organic emissions into nonvolatile carbon and volatile compounds (VOCs), excluding intermediate-volatility semivolatile (IVOCs SVOCs, respectively), which are important precursors of secondary aerosols. This study establishes the first anthropogenic full-volatility inventory with chemically speciated or volatility-binned factors. The extremely low/low-volatility (xLVOCs), IVOCs, VOCs in 2015 were 13.2, 10.1, 23.3, 120.5 Mt, respectively. framework fills a gap 18.5 Mt I/S/xLVOCs compared traditional framework. Volatile chemical products (VCPs), domestic combustion, on-road transportation sources dominant contributors to emissions, accounting for 30, 12%, VCP sectors main IVOCs VOCs. key emitting regions included Africa, India, Southeast Asia, China, Europe, United States, among States emitted higher proportions owing use cleaner fuel combustion more intense from VCPs activities. findings contribute better understanding impact on air pollution climate change.

Language: Английский

Citations

15

Long-term historical trends in air pollutant emissions in South Korea (2000–2018) DOI Creative Commons
Jinseok Kim,

Junhee Park,

Hyejung Hu

et al.

Asian Journal of Atmospheric Environment, Journal Year: 2023, Volume and Issue: 17(1)

Published: Oct. 6, 2023

Abstract This study aims to understand the impact of previous air quality improvement policies on historical emission changes by examining long-term trends in Korea. Annual emissions from 2000 2018 were estimated using Korea’s official inventory, Clean Air Policy Support System (CAPSS). To ensure a consistent comparison, standardization method for calculating and unification reported sectors conducted each year. Furthermore, history was compared with that neighboring countries, such as China Japan. The annual these countries acquired HTAPv3 an international trend study. For source classification Korea matched HTAPv3. As result analysis, NO x SO have shown decreasing trends, whereas VOCs (volatile organic compounds) indicated gradual increasing since 2000. Compared period implementing South policy, NOx SOx emissions, which are combustion-related pollutants, showed relationship policy’s timeline. However, non-combustion-related pollutants did not exhibit relationship. It concluded related effective reducing planned policy. By comparing Japan, Korea, China, it confirmed Japan first country experience decrease followed China. Additionally, decreased all three only VOC is precursor material generating secondary PM 2.5 Ozone; considering that, if relevant additionally implemented control future concentrations, reduce efficiently effectively, Japan’s reduction can be applied policies. These results expected serve important references when establishing

Language: Английский

Citations

11

Monitoring European anthropogenic NOx emissions from space DOI Creative Commons
Ronald van der A, Jieying Ding, Henk Eskes

et al.

Published: Jan. 16, 2024

Abstract. Since the launch of TROPOMI on S5p satellite, NO2 observations have become available with a resolution 3.5x5 km, which makes monitoring NOx emissions possible at scale city districts and industrial facilities. For Europe, are reported an annual basis for country totals large facilities made publicly via European Environmental Agency (EEA). Satellite can provide independent more timely information emissions. A new version inversion algorithm DECSO (Daily Emissions Constraint by Observations) has been developed deriving Europe daily basis, averaged to monthly mean maps. The estimated precision these is about 25 % individual grid cells. These satellite-derived from compared officially spatial-temporal disaggregated emission inventories. total close compiled Copernicus Atmospheric Monitoring Service (CAMS). comparison spatial distributed CAMS showed that often higher in cities, while similar power plants slightly lower rural areas.

Language: Английский

Citations

4

Monitoring European anthropogenic NOx emissions from space DOI Creative Commons
Ronald van der A, Jieying Ding, Henk Eskes

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(13), P. 7523 - 7534

Published: July 3, 2024

Abstract. Since the launch of TROPOMI on Sentinel-5 Precursor (S5P) satellite, NO2 observations have become available with a resolution 3.5× 5 km, which makes monitoring NOx emissions possible at scale city districts and industrial facilities. For Europe, are reported an annual basis for country totals large facilities made publicly via European Environment Agency (EEA). Satellite can provide independent more timely information emissions. A new version inversion algorithm DECSO (Daily Emissions Constrained by Observations) has been developed deriving Europe daily basis, averaged to monthly mean maps. The estimated precision these is about 25 % individual grid cells. These satellite-derived from compared officially spatial–temporal disaggregated emission inventories. total close compiled Copernicus Atmosphere Monitoring Service (CAMS). Comparison spatially distributed CAMS showed that often higher in cities, while they similar power plants slightly lower rural areas.

Language: Английский

Citations

4