Long-Term Spatio-Temporal Analysis, Distribution, and Trends of Dust Events over Iran

Atmosphere, Journal Year: 2025, Volume and Issue: 16(3), P. 334 - 334

Published: March 16, 2025

This study provides a comprehensive evaluation of dust events over Iran, using synoptic data from 286 meteorological stations. The are classified according to codes as suspended and others (i.e., blowing dust, storms) based on their intensity with horizontal visibility ≤1, 3, 5, 10 km. Severe (visibility ≤ 1 km) (code 06) occurred primarily in the western parts while moderate or severe dominated south eastern thus revealing contrasting spatial distribution regarding type frequency events. Furthermore, distinct seasonality is revealed number events, since maximized SW Iran March July, highly associated Shamal winds, storms east April August. Zabol city, some stations along coast Arabian Sea impacted by this storm throughout year. Trend analysis notable increase during period 1994–2023, particularly part mostly attributed transboundary Mesopotamian plains. large activity 1994–2009 was followed decrease 2010s at many stations, differences were observed trends dust. An inverse correlation between precipitation anomalies observed, years abnormal (e.g., 2019; 138% increase) related substantial occurrence. Over an 11-year period, surface concentrations exceeded annual PM10 threshold 50 µg/m3 more than 800 days, maximum reaching up 1411 µg/m3. highlights urgent need for effective management strategies mitigate impacts air quality public health Iran.

Language: Английский

CityAirQ—Pollution Tracking System

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4062 - 4062

Published: April 30, 2025

Air pollution represents a significant threat to human health and the environment, especially in densely populated metropolitan areas. Determining air levels urban areas is crucial for raising public awareness about quality potential risks, empowering citizens make informed decisions their well-being, potentially leading improved healthier communities long run. The project proposes CityAirQ, reliable tracking system, that uses parameters environmental data generate dynamic maps regions. CityAirQ includes following components: energy-efficient portable devices equipped with sensors, mobile application displays real-time collected data, together and, lastly, cloud-based pipeline ingests, processes stores sensor data. Our system integrates an ultra-compact custom PCB enables of broader range pollutants than any other solution comparable size, making it uniquely efficient tool assessment. system’s performance was assessed final phase through testing collection order validate functionality reliability. promotes sustainability by providing tools information needed understand, monitor, mitigate areas, ultimately contributing more sustainable future.

Language: Английский