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MyJournals org - Science - Remote Sensing, Vol 15, Pages 2565: Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data (Remote Sensing)

MyJournals.org - Science - Remote Sensing, Vol. 15, Pages 2565: Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data (Remote Sensing)

MyJournals org - Science - Remote Sensing, Vol 15, Pages 2218: A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study (Remote Sensing)

MyJournals.org - Science - Remote Sensing, Vol. 15, Pages 2218: A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study (Remote Sensing)

Scientists create cell atlas of developing human lung

Spatiotemporal Variations of Particulate Matter and their Association by Anis Asma Ahmad Mohtar, Mohd Talib Latif et al

Fine particulate matter (PM2.5) poses a higher risk to human health than coarse particulate matter (PM10). This study aims to determine the spatiotemporal variations of PM2.5 and PM10 in Malaysia and their association with other criteria pollutants and meteorological factors. Hourly data from air quality monitoring stations for the year 2018 were retrieved from the Malaysian Department of Environment and analysed for temporal and spatial scales according to different regions in Malaysia. Further statistical analyses, such as Spearman’s Rank Correlation and Principal Component Analysis (PCA), were conducted to study the associations between PM2.5 and PM10 with other main criteria air pollutants, as well as meteorological parameters. Higher mean concentrations of PM2.5 (23 ± 8 µg m–3, range = 4.6–158 µg m–3) and PM10 (32 ± 10 µg m–3, range = 6.0–181 µg m–3) were observed in the central region of the Malaysian Peninsula. The diurnal patterns of PM2.5 and PM10 were in a

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