Results 101 to 110 of about 115,072 (267)

PM10 AIR QUALITY INDEX MODELING USING ARFIMA-GARCH METHOD: BUNDARAN HI AREA OF DKI JAKARTA PROVINCE

Barekeng
Air quality is an essential factor in urban life, and its’ assessment often relies on the concentration of measurable air pollution parameters. One critical parameter is Particulate Matter (PM), particularly PM10, which comprises solid or liquid ...
Susilo Hariyanto, Salsabila Gustia Wibawa, Solikhin Solikhin   +2 more
doaj   +1 more source

Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach

, 2021
Yuanyuan Wei, Zhengqiang Li, Ying Zhang, Cheng Chen, Yisong Xie, Yang Lv, Оleg Dubovik   +6 more
openalex   +2 more sources

Environmental modulators of vascular physiology and inflammation

Experimental Physiology, Volume 111, Issue 2, Page 321-334, 1 February 2026.
Abstract Environmental factors play a crucial role in modulating vascular inflammation, contributing significantly to the development of atherosclerosis and cardiovascular disease. This review synthesizes current evidence on how various environmental exposures influence vascular function and inflammation, with a focus on pollutants such as particulate ...
Anusha N. Seneviratne, Anne Majumdar, Kalpana Surendranath, Mark R. Miller   +3 more
wiley   +1 more source

Assessment of air quality in Sanandaj City and its association with cardiovascular- respiratory diseases, and preterm birth in 2015-16 [PDF]

مجله علمی دانشگاه علوم پزشکی کردستان, 2018
Background and Aim: Over the past decades, air pollution in the urban areas has shown an increasing trend. Air pollutants have resulted in different diseases.
Borhan Mansouri, Namamali Azadi, Amir Mohammadi, Younes Hame Sadeghi, Ali Mansouri, Jameleh Majidi   +5 more
doaj  

Improving Sandstorm Simulations by Parameterizing Form Drag From Subgrid Sand Dunes Using 30‐m‐Resolution Terrain Data

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Surface and near‐surface wind speeds, critical factors for dust emission, are often overestimated in desert regions by models, leading to exaggerated predictions of sandstorm extent and dust concentration. This study implements a new turbulent orographic form drag (TOFD) parameterization scheme using 30‐m‐resolution terrain data in the WRF ...
Huoqing Li, Haile Xue, Minzhong Wang, Chenghai Wang, Yisilamu Wulayin, Zonghui Liu, Wen Huo   +6 more
wiley   +1 more source

Función pulmonar en niños sanos de 7 y 8 años de las comunas de Cerro Navia y Los Andes expuestos a diferentes niveles de contaminación por MP10

Salud Uninorte, 2011
Objetivo: Determinar si difieren los valores espirométricos evaluados en niños sanos de 7- 8 años provenientes de comunas con niveles históricos de alta versus baja contaminación atmosférica en Chile.
Daniel Cebulj Navarrete, Juan F. Vildoso Castillo, Evelyn Quezada Donoso, Felipe Figueroa Mellado, María José Prieto Correa, Víctor P. Díaz Narváez, Pamela Maturana Aracena, Bernardita Orellana Campos   +7 more
doaj  

Zonguldak Bölgesi PM10 Konsantrasyonu Dağılımının Modellenmesi

, 2014
Hava kirliliği, Zonguldak şehir merkezindeki en önemli çevre problemidir. Konutlarda ısınma amacıyla ve termik santrallerde de elektrik üretiminde kullanılan taş kömürü nedeniyle partikül madde (PM10) başlıca hava kirleticisidir. Çalışma alanında daha önceden PM10 ile ilgili yapılmış çalışmalar mevcuttur.
openaire   +2 more sources

Guidelines for the Use of Synthetic Fluid Dust Control Palliatives on Unpaved Roads [PDF]

, 2017
The amount of small soil particles, dust, lost from typical unpaved roads to fugitive dust is staggering. A 1 km stretch of unpaved road can contribute over 2400 kg of dust to the atmosphere (4.2 ton/mile) in a typical 3-month summer season.
Barnes, David, Connor, Billy
core  

Employing Machine Learning for New Particle Formation Identification and Mechanistic Analysis: Insights From a Six‐Year Observational Study in the Southern Great Plains

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 1, 16 January 2026.
Abstract We present a supervised machine learning (ML) framework to automatically identify new particle formation (NPF) events and analyze key atmospheric factors associated with their occurrence and growth. We applied ML to detect NPF events using start time and particle concentrations across size ranges, while identifying atmospheric variables ...
Weixing Hao, Manisha Mehra, Gaurav Budhwani, T. C. Chakraborty, Fan Mei, Yang Wang   +5 more
wiley   +1 more source

Two Approaches to Imputation and Adjustment of Air Quality Data from a Composite Monitoring Network [PDF]

, 2009
An analysis of air quality data is provided for the municipal area of Taranto characterized by high environmental risks, due to the massive presence of industrial sites with elevated environmental impact activities.
JONA LASINIO, Giovanna, POLLICE A.
core   +1 more source