Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…In this study, satellite observations of TOA reflectance and AOD from the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite in 2016 over Yangtze River Delta (YRD) and meteorological data are used to estimate hourly PM2.5 based on four different machine learning algorithms (i.e., random forest, extreme gradient boosting, gradient boosting regression, and support vector regression). …”
Get full text

Extreme Air Pollution Events Spiking Ionic Levels at Urban and Rural Sites of Indo-Gangetic Plain by Manisha Mishra, U. C. Kulshrestha

“…These changes, which were corroborated by observations of the meteorological conditions, played an essential role in the wintertime atmospheric chemistry. …”
Get full text

Contributions of Biomass Burning and Other Sources to Fine Particle Level and Oxidative Potential in Suburban Tokyo, Japan by Akihiro Fushimi, Ana M. Villalobos, Akinori Takami, Kiyoshi Tanabe, James J. Schauer

“…The PM2.5 oxidative potentials were highest in spring and summer. Correlation and meteorological analyses suggest that emissions from ships (or other residual oil combustion) and anthropogenic SOA originating from the Tokyo Metropolitan Area, and biogenic SOA contribute to an increase in PM2.5 oxidative potential during the warm season in the suburbs of Tokyo. …”
Get full text

Design of a Solar Dryer for Tomatoes. by Bwire, Samlex Sibagaya

“…The design was based on the geographical location which is kabale and meteorological data were obtained for proper design specification. …”
Get full text

Spatial-temporal Variation and Local Source Identification of Air Pollutants in a Semi-urban Settlement in Nigeria Using Low-cost Sensors by Oyediran Kayode Owoade, Pelumi Olaitan Abiodun, Opeyemi R. Omokungbe, Olusegun Gabriel Fawole, Felix Samuel Olise, Olalekan O. M. Popoola, Roderic L. Jones, Philip K. Hopke

“…Abstract Low-cost sensors were deployed at five locations in a growing, semi-urban settlement in southwest Nigeria between June 8 and July 31, 2018 to measure particulate matter (PM2.5 and PM10), gaseous pollutants (CO, NO, NO2, O3 and CO2), and meteorological variables (air temperature, relative humidity, wind speed and wind-direction). …”
Get full text

Effect of Pollution Level on Size Distributions and Mixing State of Ambient Black Carbon Particles in an Urban Area during Wintertime by Kangning Li, XiaoFei Wang, Xiaohui Lu, Hong Chen, Xin Yang

“…The mixing state of the particles changed drastically under different meteorological conditions, and higher concentrations often occurred during haze episodes. …”
Get full text

Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau by WANG Zhenliang, CHEN Manyu, ZHAO Jianlin, YUAN Ke, YANG Jie, ZHANG Chen

“…[Conclusion] The rainfall threshold model can provide a scientific basis and reference for meteorological early warning of landslide hazards in the Yanhe Basin of the Chinese Loess Plateau.…”
Get full text

Seasonal Particle Size Distribution and its Influencing Factors in a Typical Polluted City in North China by Wenxin Wang, Xiaohua Wang, Xue Li, Chao Chen, Yu Wang, Zhiwen Xing, Kun Li, Min Wei, Xiao Sui, Houfeng Liu

“…Moreover, there was also a strong correlation between PM2.5 concentration and meteorological-air pollutant factors interactions. PM2.5-10 was found to be positively correlated with gaseous pollutants such as NO2, SO2, and CO, as well as RH and air pressure. …”
Get full text

Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

“…Existing models may struggle to reflect the dynamic and complicated character of meteorological systems, making it challenging to build effective flood protection techniques and predict accurate rainfall. …”
Get full text

PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…The influence of meteorological variables and the performance of different statistical models were considered and the regression coefficients of the most applicable models are presented. …”
Get full text

Chemical and sensory properties of young cabernet sauvignon and marselan wines from subregions on the eastern foothills of helan mountains in ningxia, China: Terroir effect by Xue Zhang, Hui Yang, Na Liu, Jian Sun, Ruijia Yao, Fangzhou Shi, Jiming Li, Wenguang Jiang, Hongying Li, Qingchen Zhang, JunXiang Zhang

Get full text

Temporal shifts in dengue epidemic in Guangdong Province before and during the COVID-19 pandemic: a Bayesian model study from 2012 to 2022. by Jiaqing Xu, Xiaohua Tan, Yi Quan, Dexin Gong, Hui Deng, Jianguo Zhao, Xing Huang, Yingtao Zhang, Zhoupeng Ren, Zuhua Rong, Weilin Zeng, Xing Li, Wenyuan Zheng, Shu Xiao, Jianpeng Xiao, Meng Zhang

“…<h4>Methods</h4>Based on the data of dengue reported cases, meteorological factors, and mosquito vector density in Guangdong Province from 2012 to 2022, wavelet analysis was applied to investigate the relationship between the dengue incidence in Southeast Asian (SEA) countries and the local dengue incidence in Guangdong Province. …”
Get full text

Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

“…By analyzing spatiotemporal patterns of lightning and casualties, and incorporating meteorological, geographical, and socio-economic factors into ML models (Random Forest, Multinomial Logistic Regression, Support Vector Machine, and Artificial Neural Networks), this research provides a nuanced understanding of lightning impacts. …”
Get full text

Decade-Long Analysis: Unravelling the Spatio-Temporal Dynamics of PM10 Concentrations in Malaysian Borneo by Salwa Naidin, Justin Sentian, Farrah Anis Fazliatul Adnan, Franky Herman, Siti Rahayu Mohd Hashim

“…Biomass burning is identified as the primary source of emissions, contributing to the significant monthly and seasonal variations in this region. Meteorological conditions and the El Niño phenomenon were observed to exert a significant influence on the concentration and distribution of PM10 in this area. …”
Get full text

Effects of Dust Event Days on Influenza: Evidence from Arid Environments in Lanzhou by Ling Zhang, Sheng Li, Bo Wang, Ce Liu, Li He, Xiaobing Shan, Kai Zhang, Bin Luo

“…A descriptive analysis of daily laboratory-confirmed influenza (influenza) cases, PM (PM10 and PM2.5), meteorological parameters, and dust events were conducted from 2014 to 2019 in Lanzhou, China. …”
Get full text

Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India by Pradeep Khatri, Tadahiro Hayasaka, Prabir K. Patra, Husi Letu, Hiren Jethva, Sachiko Hayashida

“…In this study, we aim to address this research gap by analyzing fire, meteorological parameters, aerosol, cloud, and radiation data spanning nearly two decades (2002–2021), obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite, Modern-Era Retrospective Analysis Research and Applications, Version 2 (MERRA-2), and the Fifth Generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5). …”
Get full text

Farmers’ Perception of the Impacts of Climate Variability and Change on Food Security in Rubanda District, South Western Uganda by Willbroad, Byamukama, Bello N.J, Omoniyi T.E

“…Secondary data was obtained from Kabale Meteorological center (rainfall and temperature) between 1976 and 2016. …”
Get full text

Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…The Pearson linear correlation between PM2.5 and meteorological variables was studied using monthly mean data. …”
Get full text

Effects of fine particulate matter and its chemical constituents on influenza-like illness in Guangzhou, China by Keyi Wu, Weidong Fan, Jing Wei, Jianyun Lu, Xiaowei Ma, Zelin Yuan, Zhiwei Huang, Qi Zhong, Yining Huang, Fei Zou, Xianbo Wu

“…Additionally, data on gaseous pollutants and meteorological conditions were obtained. By using quasi-Poisson regression models, the association between exposure to PM2.5 and its constituents and ILI risk was estimated. …”
Get full text

Seasonal Trends, Profiles, and Exposure Risk of PM2.5-bound Bisphenol Analogs in Ambient Outdoor Air: A Study in Shanghai, China by Janvier Munyaneza, Fahim A. Qaraah, Qilong Jia, Hanting Cheng, Huajun Zhen, Guangli Xiu

“…We also noticed that meteorological parameters aren’t the sole deterministic factors influencing the seasonal profiles of BPs.…”
Get full text