Noise Pollution Analysis for year 2016-17 in Pune City

Kakade Shraddha, More Shraddha
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Abstract

The rapid urbanization and growth of urban population has led to many health challenges including the environmental air and noise pollution. Here we analyze the data on noise levels in dB(A) Leq during day time (6 am to 10 pm) collected at 36 different locations in Pune city. The dataset is available on the Pune municipal Corporation Open data Portal[4]. The 36 locations are classified in four different zones named as commercial zone, residential zone, silence zone, and industrial zone. Data is collected on specific days of each month from April 2016 to March 2017. The main objective of this analysis is to locate the areas having noise levels higher than specified safe dB and to predict the average noise level in upcoming months.By using statistical tools we establish that in almost all the areas, the noise levels are beyond the safe noise level specified by the pollution control board. Specifically, areas like RTO, KK market, Rajaram Bridge, Ramwadi Octroi Naka, Sant Dnyaneshwar Ghat, Pune University (Campus) have very high noise levels. Areas having same noise levels are clustered into same group. Cluster analysis is used to locate the areas having higher noise pollution than their zonal counterparts. For predicting the noise levels in upcoming months, we use time series analysis and try to identify the areas which may need serious monitoring of noise levels.
浦那市2016-17年噪音污染分析
快速的城市化和城市人口的增长导致了许多健康挑战,包括环境空气和噪音污染。在这里,我们分析了白天(早上6点到晚上10点)在浦那市36个不同地点收集的dB(A) Leq噪声水平数据。该数据集可在浦那市政公司开放数据门户网站[4]上获得。这36个地点被划分为四个不同的区域,分别是商业区、住宅区、安静区和工业区。数据采集时间为2016年4月至2017年3月,每个月的特定日期。这项分析的主要目的是找出噪音水平高于规定的安全分贝的地区,并预测未来几个月的平均噪音水平。通过使用统计工具,我们确定几乎所有地区的噪音水平都超出了污染控制委员会规定的安全噪音水平。具体来说,像RTO、KK市场、Rajaram桥、Ramwadi Octroi Naka、Sant Dnyaneshwar Ghat、浦那大学(校园)等地区的噪音水平非常高。具有相同噪声水平的区域被归为同一组。使用聚类分析来定位噪声污染比其分区污染更严重的区域。为了预测未来几个月的噪音水平,我们采用时间序列分析,并试图找出可能需要认真监测噪音水平的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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