Meteorology & Atmospheric Sciences

Article Environmental Sciences

Optimization of the Polarized Imaging Nephelometer (PI-Neph) for continuous monitoring of multiwavelength aerosol phase functions in support of space polarimetry missions

E. Bazo, J. V. Martins, D. Perez-Ramirez, A. Valenzuela, G. Titos, A. Cazorla, D. Fuertes, M. Weiss, A. Turpie, C. Li, F. J. Garcia-Izquierdo, I. Foyo-Moreno, L. Alados-Arboledas, F. J. Olmo

Summary: This work focuses on the setup and optimization of a commercial multiwavelength polarized imaging nephelometer for measuring phase functions and polarized phase functions of ambient aerosol samples. The instrument utilizes a novel design that improves light reflection and energy loss issues. It also features automation of the imaging technique, allowing for real-time measurements. The results demonstrate the instrument's good performance in measuring scattering coefficients and its potential for aerosol typology.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Assessing the role of atmospheric dispersion vs. emission strength in the southern Po Valley (Italy) using dispersion-normalised multi-time receptor modelling

Federica Crova, Alice Corina Forello, Vera Bernardoni, Giulia Calzolai, Silvia Canepari, Stefania Argentini, Francesca Costabile, Maria Agostina Frezzini, Fabio Giardi, Franco Lucarelli, Dario Massabo, Lorenzo Massimi, Silvia Nava, Marco Paglione, Giulia Pazzi, Paolo Prati, Matteo Rinaldi, Mara Russo, Sara Valentini, Gianluigi Valli, Virginia Vernocchi, Roberta Vecchi

Summary: In this paper, the DN-PMF approach was applied to analyze the relative importance of emission strength vs. atmospheric dispersion conditions, providing a more realistic picture of pollution in areas like the Po Valley. The results showed that the diel modulation of PM1 emissions from certain sources was masked by the variability of the mixing layer, highlighting the need for appropriate abatement strategies.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Impact of wildfires on regional ozone and PM2.5: Considering the light absorption of Brown carbon

Minsu Choi, Jie Zhang, Yuwei Zhang, Jiwen Fan, Xinghua Li, Qi Ying

Summary: This study investigates the influence of wildfire brown carbon (BrC) on the formation of O-3 and fine particulate matter (PM2.5) through its absorption of ultraviolet (UV) radiation. The results show that BrC UV absorption reduces the formation of O-3 and PM2.5 in the wildfire plume. Additionally, the impact of BrC absorption on O-3 and PM2.5 is relatively small compared to other factors.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Response of surface ozone to atmospheric aerosol absorption is more sensitive than to scattering in a semi-arid region

Xin Song, Pengfei Tian, Yumin Guo, Tao Du, Zeren Yu, Jinsen Shi, Yi Chang, Jiayun Li, Lei Zhang

Summary: The response of surface ozone to aerosol absorption is more sensitive than to scattering. Mass scattering and absorption efficiencies are able to clearly distinguish surface ozone, and there is a positive correlation between aerosol and ozone in summer.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Examining indicators and methods for quantifying ozone exposure to vegetation

Huiting Mao, Emmi Felker-Quinn, Barkley Sive, Leiming Zhang, Zhuyun Ye, Hongliang Fang

Summary: This study found a decreasing trend in ozone exposure at Yellowstone National Park and no trend at Grand Teton National Park using different metrics. The traditional method and the Big-leaf model showed discrepancies in estimating high stomatal ozone flux values. A new multivariate function developed through machine learning improved the estimation of stomatal ozone flux variability.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Urban vertical air pollution gradient and dynamics investigated with low-cost sensors and large-eddy simulations

Louise B. Frederickson, Hugo S. Russell, Siegfried Raasch, Zhaoxi Zhang, Johan A. Schmidt, Matthew S. Johnson, Ole Hertel

Summary: In a study conducted at the University of Copenhagen, Denmark, a network of five low-cost air pollution sensor nodes was deployed on the exterior of a building to investigate the transport of pollution from the road below. The results indicated that traffic serves as a common source for air pollution, noise, and traffic count. The correlations between these parameters were generally low, but increased under certain wind conditions. The vertical concentration profile of pollutants did not show a significant gradient. The study also found that the profile is sensitive to stratification conditions.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Characterization, source apportionment, and risk assessment of ambient volatile organic compounds in urban and background regions of Hainan Island, China

Wenshuai Xu, Qiao Xing, Libo Pan, Zhanshan Wang, Xiaocong Cao, Weijun Yan, Wenjing Xie, Xinxin Meng, Xiaochen Wu

Summary: The pollution characteristics of volatile organic compounds (VOCs) were determined in urban and background regions in Hainan province, China. The VOC concentrations were higher in the urban area and showed a diurnal variation with two peaks, primarily due to traffic emissions. In the background region, VOC concentrations were lower and showed a single peak in the afternoon, likely influenced by high temperature and intense sunlight. Traffic emissions were the largest contributor to VOCs in both areas, followed by industrial emissions and plant sources.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Estimating Daily Concentrations of Near-Surface CO, NO2, and O3 Simultaneously Over China Based on Spatiotemporal Multi-Task Transformer Model

Qiaolin Zeng, Lihui Wang, Hao Zhu, Sizhu Liu, Chengfang Wang, Liangfu Chen, Jinhua Tao

Summary: Accurate and efficient estimation of near-surface air pollutant concentrations is of practical importance. Current models primarily rely on shallow methods and focus on estimating a single pollutant, facing challenges in capturing complex spatiotemporal patterns and demonstrating inefficiency. To overcome these limitations, a spatiotemporal multi-task Transformer model is proposed to simultaneously estimate the near-surface concentrations of carbon monoxide, nitrogen dioxide, and ozone. Experiments conducted in China demonstrate that the model achieves optimal performance and significantly improves efficiency compared to single-task models.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

An assessment of natural and anthropogenic influences on atmospheric fluoride deposition in central Tibetan Plateau during 1951-2008 AD using the Zangser Kangri ice core

Xiang Zou, Wangbin Zhang, Shuangye Wu, Jinhai Yu, Jing Song, Hongxi Pang, Yaping Liu, Shugui Hou

Summary: Fluoride contamination poses a great threat to ecosystems and human health, and has raised widespread concern. This study used data from Tibetan ice cores to investigate the sources and trends of atmospheric fluoride in the central Tibetan Plateau over the past few decades. The results showed that dust activities and anthropogenic emissions were the main factors influencing the variation of fluoride in the atmosphere.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Deep learning based emulator for simulating CMAQ surface NO2 levels over the CONUS

Ahmed Khan Salman, Yunsoo Choi, Jincheol Park, Seyedali Mousavinezhad, Mahsa Payami, Mahmoudreza Momeni, Masoud Ghahremanloo

Summary: This study develops and evaluates an emulator model for simulating surface NO2 concentrations in the Contiguous United States. The model demonstrates high accuracy and computational efficiency, making it a promising tool for health impact assessments and emission inventory optimization.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Analytical deconvolution of smearing effect for inversion of scanning mobility particle sizer data

Dexian Chen, Cuizhi Sun, Jun Zhao

Summary: In this study, a new de-smearing method is proposed to reduce the complexity of SMPS data inversion. An analytical formula is derived and included in a full SMPS data inversion scheme. The smearing effect of an SMPS is characterized through voltage step change experiment. The effectiveness and robustness of the de-smearing approach are demonstrated using experimental data.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

On-road NOx and NH3 emissions measurements from in-use heavy-duty diesel and natural gas trucks in the South Coast air Basin of California

Hanwei Zhu, Tianyi Ma, Zisimos Toumasatos, Sam Cao, Georgios Karavalakis, Kent C. Johnson, Thomas Durbin

Summary: This study analyzed the emissions of nitrogen oxides (NOx) and ammonia (NH3) from five different goods movement vehicles. The results showed that diesel vehicles with selective catalytic reduction (SCR) had lower NOx emissions, while natural gas vehicles equipped with three-way catalysts (TWCs) had higher NH3 emissions.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Impact of mineral dust photocatalytic heterogeneous chemistry on the formation of the sulfate and nitrate: A modelling study over East Asia

Xiao Li, Zechen Yu, Man Yue, Yaman Liu, Kan Huang, Xuguang Chi, Wei Nie, Aijun Ding, Xinyi Dong, Minghuai Wang

Summary: Dust heterogeneous chemistry plays an important role in the atmosphere, and the implementation of a photocatalytic mechanism can improve the accuracy of predictive modeling and environmental impact studies. The results of this study show that the photocatalytic mechanism better reproduces observed aerosol concentrations compared to traditional modeling methods. Additionally, the process of dust heterogeneous chemistry facilitates the removal of aerosol pollutants during dust events.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Fast nitrate formation aloft supported by typical synoptic weather patterns and complex terrain in the North China Plain

Chuang Qin, Xianyi Sun, Zhe Yin, Zhihao Yang, Xiao Fu

Summary: This study reveals the significant impacts of synoptic weather patterns and complex terrain on nitrate formation in the North China Plain. The research indicates that these factors can enhance nitrate production vertically and aggravate nitrate pollution at the ground level.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

USEPA CALPUFF validation and dispersion modeling of beef cattle feedlot PM10 and PM2.5 emissions factors

Amanda D. Emert, Kerry Griffis-Kyle, Carlos Portillo-Quintero, Philip N. Smith

Summary: Beef cattle feedlots are significant contributors to air pollution in the United States, especially in terms of particulate matter emissions. Current monitoring and reporting standards do not accurately capture the emissions from these facilities.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Enhancing Air Quality Forecasts Across the Contiguous United States (CONUS) During Wildfires Using Analog-Based Post-Processing Methods

Maryam Golbazi, Stefano Alessandrini, Rajesh Kumar, Paddy McCarthy, Patrick C. Campbell, Piyush Bhardwaj, Cenlin He, Jeffery McQueen

Summary: Air quality forecasting is crucial for decision-making and mitigating the impacts of air pollution and wildfires. However, forecast errors limit its effectiveness. This study utilizes the CMAQ model and introduces the AnEn method and new predictors to enhance the accuracy of air quality forecasts, particularly during wildfire events.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Using machine learning to improve the estimate of US background ozone

Farnaz Hosseinpour, Naresh Kumar, Trang Tran, Eladio Knipping

Summary: Background ozone refers to ground-level ozone in the absence of any domestic anthropogenic emissions. Recent adjustments to air quality models using data fusion techniques have shown an increased contribution of background ozone, exceeding national air quality standards in some regions.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Impact of urban spatial factors on NO2 concentration based on different socio-economic restriction scenarios in US cities

Muhammad Waqas, Majid Nazeer, Man Sing Wong, Wu Shaolin, Li Hon, Joon Heo

Summary: The socio-economic restriction measures implemented in the United States have significantly reduced nitrogen dioxide (NO2) emissions. The study highlights the impact of factors such as human mobility, population density, income, climate, and stationary sources on the reduction of NO2 at different stations. The research emphasizes the scientific impacts of the NO2 reduction and income inequality revealed by the pandemic on air quality and health disparities.

ATMOSPHERIC ENVIRONMENT (2024)

Article Environmental Sciences

Progression of an emission inventory of China integrating CO2 with air pollutants: A chance to learn the influence of development on emissions

Guorui Zhi, Jinhong Du, Aizhong Chen, Wenjing Jin, Na Ying, Zhihui Huang, Peng Xu, Di Wang, Jinghua Ma, Yuzhe Zhang, Jiabao Qu, Hao Zhang, Li Yang, Zhanyun Ma, Yanjun Ren, Hongyan Dang, Jianglong Cui, Pengchuan Lin, Zhuoshi He, Jinmin Zhao, Shuo Qi, Weiqi Zhang, Wenjuan Zhao, Yingxin Li, Qian Liu, Chen Zhao, Yi Tang, Peng Wei, Jingxu Wang, Zhen Song, Yao Kong, Xiangzhe Zhu, Yi Shen, Tianning Zhang, Yangxi Chu, Xinmin Zhang, Jiafeng Fu, Qingxian Gao, Jingnan Hu, Zhigang Xue

Summary: An comprehensive emission inventory for China in 2019, which includes both air pollutants and greenhouse gases, was developed in this study. The inventory utilizes existing frameworks and data to provide comparable emissions data and demonstrates the relationship between emissions and economic development.

ATMOSPHERIC ENVIRONMENT (2024)

Article Meteorology & Atmospheric Sciences

Long-term characteristics of hydrometeors in stratiform and convective precipitation over central eastern China and adjacent ocean

Chenxi Liao, Wenhua Gao, Lanzhi Tang, Chengyin Li

Summary: Based on ERA5 data, this study analyzed the characteristics of four hydrometeors and their relationship with precipitation intensity in central eastern China and the northwest Pacific Ocean. The results show that stratiform precipitation is dominated by ice processes, while convective precipitation has comparable contributions from water and ice processes.

ATMOSPHERIC RESEARCH (2024)