首页> 外文期刊>Journal of earth system science >The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain
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The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain

机译:作物残渣燃烧(CRB)对印度西北恒河平原西北部半城市场地臭氧和PM水平的日变化和季节性变化的影响

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Ozone and particulate matter (PM), PM$_{10}$ and PM$_{2.5}$, were monitored along with meteorological parameters at a semi-urban location, Patiala, in the north-western Indo-Gangetic plain from December 2013 to November 2014. The annual mean concentration levels of PM$_{10}$, PM$_{2.5}$ and ozone were recorded as 178 $mu$g m$^{-3}$, 88 $mu$g m$^{-3}$ and 39 ppb, which also exceeded the national standards on a 24-h average basis, by 77.3% (335 days), 53.2% (338 days) and 20 days, respectively. High levels of PM (PM$_{10}$ and PM$_{2.5}$) were observed in winter (58a??381 and 42a??270 $mu$g m$^{-3}$) and in the post-monsoon (71a??320 and 39a??320 $mu$g m$^{-3}$) season and a rise in the level of ozone was observed in summer (22a??72 ppb) and in the post-monsoon season (23a??73 ppb), respectively. The rate of ozone production was the highest during the post-harvest fire period (3.94 ppb O$_{3}$/h in May and 4.23 ppb O$_{3}$/h in November). A Pearson correlation study showed the strong dependency of PM and ozone on meteorological variables. Relative humidity has the highest ranking for ozone and PM$_{10}$, while wind speed has the lowest rank for ozone, PM$_{10}$ and PM$_{2.5}$ in the order of factors affecting the level of pollutants. The generalised linear model and the neural network model (for ozone) and the random forest model (for PM) outperformed on the basis of performance indices and further cross-validation was done.
机译:自12月起,在印度西北恒河平原西北部的半城市Patiala,监测了臭氧和颗粒物(PM)_ {{10} $和PM $ _ {2.5} $以及气象参数。 2013年至2014年11月。PM$ _ {10} $,PM $ _ {2.5} $和臭氧的年平均浓度水平分别记录为178 $ mu $ gm $ ^ {-3} $,88 $ mu $ gm $ ^ {-3} $和39 ppb,这也平均超过24小时的国家标准,分别达到77.3%(335天),53.2%(338天)和20天。在冬季(58a ?? 381和42a ?? 270 $ mu $ gm $ ^ {-3} $)和在冬季观察到高水平的PM(PM $ _ {10} $和PM $ _ {2.5} $)。季风后(71a ?? 320和39a ?? 320 $ mu $ gm $ ^ {-3} $)季节,夏季(22a ?? 72 ppb)和夏季的臭氧水平有所增加。季风后季节(23a ?? 73 ppb)。在收获后的火灾期间,臭氧的产生率最高(5月为3.94 ppb O $ _ {3} $ / h,11月为4.23 ppb O $ _ {3} $ / h)。皮尔逊相关研究表明,PM和臭氧对气象变量具有很强的依赖性。臭氧和PM $ _ {10} $的相对湿度最高,而臭氧,PM $ _ {10} $和PM $ _ {2.5} $的风速最低。污染物。在性能指标的基础上,广义线性模型和神经网络模型(适用于臭氧)和随机森林模型(适用于PM)的表现均优于同类产品,并进行了进一步的交叉验证。

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