This study estimates the ground-level PM₁₀ concentration by effectively combining the Aerosols Optical Depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite retrievals and Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem). The model simulates typical dust storm events 17^th-22^nd April 2010 and 05^th–10^th May 2010 which has severely affected air quality in North and Northwestern India. The satellite retrievals shows high AOD (>1.0) over Indo Gangetic Plains and nearby Thar Desert. The model captures the spatial pattern of AOD very well however, it underestimates high aerosol loading in comparision to MODIS_AOD. The modeled AOD (MODEL_AOD) shows an underestimation by 37% with MODIS_AOD over the study region. Therefore, the WRF-Chem model Particulate Matter (PM₁₀) and MODEL_AOD are scaled using satellite MODIS_AOD to provide a better estimation of the particulate pollution. The results shows better estimation, trend and correlation (R = 0.83) of the PM₁₀ with hourly observations at Delhi monitoring station and a Mean Bias (MB) of 61 μg/m³ during the satellite overpass time. The comparison of estimated PM with daily averaged observations of PM₁₀ from Central Pollution Control Board (CPCB) at stations of Jaipur, Jodhpur, Kota, and Delhi showed a strong agreement with an correlation of (R) of 0.81, 0.70, 0.77 and 0.78, respectively.

本研究通过有效结合来自中分辨率成像光谱仪 (MODIS) 卫星反演的气溶胶光学深度 (AOD) 和结合化学的天气研究和预报模型 (WRF-Chem) 来估计地面 PM _10浓度。^{该模型模拟了 2010 年 4 月 17日}至22日和 2010 年^{5月 5日}至10^日的典型沙尘暴事件，这严重影响了印度北部和西北部的空气质量。卫星检索显示印度恒河平原和附近的塔尔沙漠的 AOD 较高（>1.0）。该模型很好地捕捉了 AOD 的空间模式，但与 MODIS _AOD相比，它低估了高气溶胶负荷。建模的 AOD（模型_AOD )在研究区域显示 MODIS _{AOD被低估了 37%。}因此，WRF-Chem 模型颗粒物 (PM ₁₀ ) 和模型_AOD使用卫星 MODIS _AOD进行缩放，以更好地估计颗粒物污染。结果表明， PM ₁₀与德里监测站每小时观测值的估计、趋势和相关性（ R  = 0.83）更好，卫星立交期间的平均偏差（MB）为 61 μg/m ^{3 。}估算的 PM 与 PM _{10的每日平均观测值的比较}来自斋浦尔、焦特布尔、哥打和德里站的中央污染控制委员会 (CPCB) 的研究表明，相关性 (R) 分别为 0.81、0.70、0.77 和 0.78。