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The effect of climate and meteorological changes on particulate matter in Pune, India

机译:气候和气象变化对印度浦那颗粒物的影响

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This paper presents the distinctiveness of particulate matter (PM) mass concentrations (PM10, PM2.5, and PM10-(2.5)) and meteorological effect in Pune city during 2011-2012. The PM samples were collected using Mini-Vol TAS air sampler (Airmetrics Co. Inc., 5 l min(-1) flow rate). The meteorological parameters were also measured during the study period. The analysis of 24-h average PM10, PM2.5, and PM10-(2.5) concentrations showed the maximum during winter (267.267.2, 180.6-55.6, 138.9-11.7 mu g m(-3)) followed by summer (236.1-55.5, 138.8-27.7, 125-13.8 mu g m(-3)) and post-monsoon (153.3-82.3, 138.9-41.7, 41.714.4 mu g m(-3)) and showed the lowest concentration during monsoon (98.9-27.8, 83.3-13.9, 40.06.0 mu gm(-3)) seasons in the entire study. PM10 comprised a vast fraction of PM2.5 (61 % of PM2.5), while the estimated PM2.5/PM10 ratios for monsoon, post-monsoon, winter, and summer seasons were ranged between 0.5 and 0.9, 0.51 and 0.91, 0.3 and 0.9, and 0.3 and 0.8, respectively. The 7-day back trajectories analysis for whole year shows that the air masses transported to Pune were mixed mainland-maritime such as from southwesterly, north, northwest. Chemometric analysis was applied as a tool to evaluate and predict the particulate mass concentration from available meteorological data. To achieve this, a calibration model was developed by partial least squares regression (PLSR) method and was further used to predict the PM concentrations based on meteorological data. On predicting the PM concentration from local meteorological data, the model performance and quality was found very good in case of PM10 compared to PM2.5.
机译:本文介绍了2011-2012年浦那市颗粒物(PM)质量浓度(PM10,PM2.5和PM10-(2.5))的独特性以及气象效应。使用Mini-Vol TAS空气采样器(Airmetrics Co. Inc.,5 l min(-1)流量)收集PM样品。在研究期间还测量了气象参数。 24小时平均PM10,PM2.5和PM10-(2.5)浓度的分析显示,冬季(267.267.2、180.6-55.6、138.9-11.7μgm(-3))最高,其次是夏季(236.1- 55.5、138.8-27.7、125-13.8 mu gm(-3))和季风后(153.3-82.3、138.9-41.7、41.714.4 mu gm(-3)),并且在季风期间浓度最低(98.9-27.8) ,83.3-13.9,40.06.0μgm(-3))季节。 PM10占PM2.5的绝大部分(占PM2.5的61%),而季风,季风后,冬季和夏季的PM2.5 / PM10比例估计为0.5至0.9、0.51至0.91,分别为0.3和0.9,以及0.3和0.8。整整7天的后向轨迹分析表明,运往浦那的气团是大陆-海上混合的,例如来自西南,北,西北。化学计量分析被用作一种工具,以根据可用的气象数据评估和预测颗粒物质量浓度。为此,通过偏最小二乘回归(PLSR)方法开发了一个校准模型,该模型还用于基于气象数据预测PM浓度。根据当地气象数据预测PM浓度,与PM2.5相比,PM10的模型性能和质量非常好。

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