A semi-empirical model for predicting hourly ground-level fine particulate matter (PM2.5) concentration in southern Ontario from satellite remote sensing and ground-based meteorological measurements
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چکیده
منابع مشابه
Evaluation of PM2.5 Emissions in Tehran by Means of Remote Sensing and Regression Models
Defined as any substance in the air that may harm humans, animals, vegetation, and materials, air pollution poses a great danger to human health. It has turned into a worldwide problem as well as a huge environmental risk. Recent years have witnessed the increase of air pollution in many cities around the world. Similarly, it has become a big problem in Iran. Although ground-level monitoring ca...
متن کاملEvaluation of PM2.5 Emissions in Tehran by Means of Remote Sensing and Regression Models
Defined as any substance in the air that may harm humans, animals, vegetation, and materials, air pollution poses a great danger to human health. It has turned into a worldwide problem as well as a huge environmental risk. Recent years have witnessed the increase of air pollution in many cities around the world. Similarly, it has become a big problem in Iran. Although ground-level monitoring ca...
متن کاملبهرهگیری از مدل اثرات اختلاط خطی جهت پیش بینی غلظت ذرات معلق در سطح زمین: مطالعه موردی در تهران
Background and Objective: In the recent decade, critical condition of particulate matters (PMs) concentration is considered as one of the most important issues in Tehran megacity. Due to sparse spatial distribution of air quality monitoring stations and economic considerations, researchers proposed remote sensing technique as a fast and economical way to obtain complete spatial and temporal cov...
متن کاملParticulate matter air quality assessment using integrated surface, satellite, and meteorological products: Multiple regression approach
[1] Monitoring particulate matter air quality from spaceborne measurements is largely confined to relating columnar satellite retrievals of aerosol optical thickness (AOT) with ground measurements of PM2.5 mass concentration. However, vertical distribution of aerosols and meteorological effects such as wind speed, temperature, and humidity also play a major role in this AOT-PM2.5 relationship. ...
متن کاملEstimating ground-level PM10 using satellite remote sensing and ground-based meteorological measurements over Tehran
BACKGROUND AND METHODOLOGY Measurements by satellite remote sensing were combined with ground-based meteorological measurements to estimate ground-level PM10. Aerosol optical depth (AOD) by both MODIS and MISR were utilized to develop several statistical models including linear and non-linear multi-regression models. These models were examined for estimating PM10 measured at the air quality sta...
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