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利用区域气候模式研究印度的 PM 质量浓度。

Investigation of PM mass concentration over India using a regional climate model.

机构信息

Indian Centre for Climate and Societal Impacts Research (ICCSIR), Mandvi, Kachchh, Gujarat, India.

Indian Centre for Climate and Societal Impacts Research (ICCSIR), Mandvi, Kachchh, Gujarat, India.

出版信息

Environ Pollut. 2017 May;224:484-493. doi: 10.1016/j.envpol.2017.02.030. Epub 2017 Feb 22.

Abstract

Seasonal variation of PM (Particulate Matter <2.5 μm) mass concentration simulated from WRF-Chem (Weather Research and Forecasting coupled with Chemistry) over Indian sub-continent are studied. The simulated PM are also compared with the observations during winter, pre-monsoon, monsoon and post-monsoon seasons of 2008. Higher value of simulated PM is observed during winter followed by post-monsoon, while lower values are found during monsoon. Indo-Gangetic Basin (IGB) exhibits high amount of PM (60- 200 μg m) throughout the year. The percentage differences between model simulated and observed PM are found higher (40- 60%) during winter, while lower (< 30%) during pre-monsoon and monsoon over most of the study locations. The weighted correlation coefficient between model simulated and observed PM is 0.81 at the significance of 98%. Associated RMSE (Root Mean Square Error) is 0.91 μg m. Large variability in vertically distributed PM are also found during pre-monsoon and monsoon. The study reveals that, model is able to capture the variabilities in spatial, seasonal and vertical distributions of PM over Indian region, however significant bias is observed in the model. PM mass concentrations are highest over West Bengal (82± 33 μg m) and the lowest in Jammu & Kashmir (14± 11 μg m). Annual mean of simulated PM mass over the Indian region is found to be 35± 9 μg m. Higher values of PM are found over the states, where the reported respiratory disorders are high. WRF-Chem simulated PM mass concentration gives a clear perspective of seasonal and spatial distribution of fine aerosols over the Indian region. The outcomes of the study have significant impacts on environment, human health and climate.

摘要

研究了 WRF-Chem(天气研究与预报耦合化学)模拟的印度次大陆地区 PM(细颗粒物<2.5μm)质量浓度的季节性变化。还将模拟的 PM 与 2008 年冬季、前季风期、季风期和后季风期的观测结果进行了比较。模拟的 PM 浓度在冬季最高,其次是后季风期,而在季风期最低。印度-恒河平原(IGB)全年都有大量的 PM(60-200μg/m)。模型模拟的 PM 与观测到的 PM 之间的百分比差异在冬季(40-60%)较高,而在前季风期和季风期(大部分研究地点<30%)较低。模型模拟的 PM 与观测到的 PM 之间的加权相关系数在 98%的显著水平上为 0.81。相关 RMSE(均方根误差)为 0.91μg/m。在前季风期和季风期,垂直分布的 PM 也有很大的变化。研究表明,该模型能够捕捉到印度地区 PM 的空间、季节和垂直分布的变化,但模型存在显著的偏差。西孟加拉邦(82±33μg/m)的 PM 质量浓度最高,查谟和克什米尔(14±11μg/m)的 PM 质量浓度最低。印度地区模拟的 PM 质量年平均值为 35±9μg/m。在报告呼吸道疾病较高的州,PM 值较高。WRF-Chem 模拟的 PM 质量浓度清楚地反映了印度地区细气溶胶的季节性和空间分布。该研究的结果对环境、人类健康和气候有重大影响。

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