Trends in air quality of national capital territory of Delhi.

Indrani Gupta
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Abstract

A set of time series analysis methods viz; regression on deseasonalized data, seasonal regression and regression with weighted least squares technique is suggested to identify the trend in mean monthly ambient air quality data and applied to the case of National Capital Territory of Delhi. The analysis reveals that out of 9 monitored sites NO2 and SO2 increased at 6 sites and SPM level increased at 4 sites. Spatial interpolation using inverse distance square technique was carried out to plot the ambient air quality contours for the years 1990 and 1994 to explain the changes in regional ambient air quality characteristics over the four

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国家首都德里地区的空气质量趋势。
一套时间序列分析方法即;建议采用非季节性回归、季节回归和加权最小二乘回归方法来识别月平均环境空气质量数据的变化趋势,并将其应用于德里首都地区。分析表明,9个监测点中NO2和SO2升高的有6个,SPM升高的有4个。利用距离平方反比技术进行空间插值,绘制了1990年和1994年的环境空气质量等高线,以解释4年区域环境空气质量特征的变化
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