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QUANTITATIVE ANALYSIS OF WRF-CHEM SIMULATED PM_(2.5) OVER DELHI IN WINTER SEASON

机译:WRF-CHEM模拟PM_(2.5)在冬季德里的定量分析

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Exposure of ambient PM_(2.5) has resulted in about 0.8 million premature mortality in India. Thus PM_(2.5) is recognised as major pollutant with respect to health concern. In order to analyse the consequences of high PM_(2.5) concentrations, a detailed quantitative information of PM_(2.5) is required. Due to lack of diverse monitoring stations of PM_(2.5) in Delhi, the alternative methods like satellite data and air quality modelling are being used for such purposes. WRF-Chem is an online coupled chemical transport model, which has been used to simulate PM_(2.5) concentrations over India. The simulation has been made by using meteorological and emission data of different sources over India, winter season (DJF) has been selected for this simulation as the previous studies has shown the adverse impact of winter meteorology on air pollutant's concentrations. Generally calm wind, less mixing and low dispersion prevail in winter season in India. The emissions of anthropogenic aerosol Black carbon (BC), Organic Carbon (OC) and Sulphur dioxide (SO2) have been taken from GOCART emission inventory of year 2006 and from RETRO and EDGAR. The initial and boundary meteorological conditions have been taken from GFS in this simulation. The simulations have shown the high concentrations of PM_(2.5) in Indo-Gangatic basin compared to other regions. The high concentration in this region is due of its geographical features and meteorological parameters. The model is capable to capture the high concentration in cities like Delhi, Kolkata etc. Delhi has been reported one of the most polluted city of world and the model captures it highest as a hotspot with average concentration of around 96.5 μg/m~3, which is more than double of NAAQ standard. On the study period, the average observed concentration is found to be 123 μg/m~3 at ITO monitoring station in Delhi, this shows that model is quantitatively under predicting. Diurnal analysis of concentrations shows a peak in concentration at early morning hours, which reduces when day advances and again in the later stage of day, it starts building up and remains almost constant in night. Vertical distribution of PM_(2.5) over Delhi shows the presence of PM_(2.5) concentrations up to 2km height and up to 500m when it is present in harmful amount (>60 μg/m~3).
机译:环境PM_(2.5)的暴露导致印度的约80万份过早死亡率。因此,PM_(2.5)被认为是健康问题的主要污染物。为了分析高PM_(2.5)浓度的后果,需要PM_(2.5)的详细数量信息。由于Delhi中缺乏PM_(2.5)的多样化监测站,因此可以用于这种目的的卫星数据和空气质量建模等替代方法。 WRF-Chem是一种在线耦合化学传输模型,用于模拟印度的PM_(2.5)浓度。通过使用印度不同来源的气象和排放数据进行了模拟,冬季(DJF)已被选为此模拟,因为之前的研究表明冬季气象对空气污染物浓度的不利影响。一般风平风,较少的混合和低分散在印度冬季占上风。从2006年和Recro和Edgar的Gocart排放库存中取出了人为气溶胶黑碳(BC),有机碳(OC)和二氧化硫(SO2)的排放。在该模拟中,初始和边界气象病症已从GFS中取出。与其他地区相比,仿真在印度恒沟盆地中的高浓度PM_(2.5)。该地区的高浓度是由于其地理特征和气象参数。该模型能够在德里,加尔各答等等城市中捕获高浓度.Delhi已经报告了世界上最污染的城市之一,该模型捕获它最高的热点,平均浓度约为96.5μg/ m〜3,它不仅仅是NAAQ标准。在研究期间,在Delhi的ITO监测站发现平均观测的浓度为123μg/ m〜3,这表明模型在预测下是定量的。浓度的昼夜分析显示初期浓度的浓度,当天在一天的后期进步时减少,它开始建立并在夜间仍然持续。 DELHI垂直分布PM_(2.5)显示PM_(2.5)浓度高达2km的浓度,当其有害量(>60μg/ m〜3)存在时高达2km的高度和高达500米。

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