The Impact of Air Pollutants and Meteorological Variables on Visibility in Delhi

被引:8
作者
Goyal, P. [1 ]
Kumar, Anikender [1 ]
Mishra, Dhirendra [1 ]
机构
[1] Indian Inst Technol Delhi, Ctr Atmospher Sci, New Delhi 110016, India
关键词
Air pollutants; Meteorological variables; Visibility; Principal component regression; MULTIPLE LINEAR-REGRESSION; NEURAL-NETWORKS; OZONE; POLLUTION; AEROSOLS; MODELS; TRENDS;
D O I
10.1007/s10666-013-9380-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A study has been made to analyze the impact of air pollutants and meteorological variables on visibility in Delhi, for the years 2003-2006. The correlation matrix of daily visibility, meteorological variables, and air pollutants concentration during the period has been studied. The matrix reflects the negative values of the correlation coefficient of visibility with respirable suspended particulate matter, suspended particulate matter, relative humidity, and, positive values with dry bulb temperature, maximum temperature, minimum temperature, and sunshine hours. The annual average visibility has been estimated as approximately 2.77 km. Furthermore, it is found to be maximum in monsoon, followed by summer, post-monsoon, and winter seasons. It is also noticeable that the visibility is always higher in rainy days when compared with that in dry days. Similarly, the annual average visibility during the weekends is found to be higher than that in the weekdays. The daily visibility has been forecasted through two statistical techniques namely, multiple linear regression (MLR) and principal component regression (PCR). The results obtained from these two techniques have been evaluated by comparing with observed data. This proves satisfactory performance of both the techniques. In addition, it reflects that the PCR performs better than the MLR technique.
引用
收藏
页码:127 / 138
页数:12
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