车辆频率对印度德里空气质量的影响

Vijay Kumar, Sunita Gupta, V. Jolli
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引用次数: 1

摘要

在过去的几十年里,车辆交通在德里的道路上出现了惊人的增长,其数量的增加引起了城市规划者和管理者的关注,因为它们不仅恶化了环境质量,而且影响了人类健康。在此背景下,我们研究了交通,即车辆频率对德里空气质量的影响。在北、南、东、西和中四个主要方向上选择了五个地点,这些地点的空气污染物数据已经在公共领域提供(污染防治委员会在线网站)。在工作日和周末记录轻型机动车辆(LMV)和重型机动车辆(HMV)的车辆频率。通过相关分析研究了机动车频率与大气污染物的关系。研究显示,德里东部的交通负荷最高,其次是北部、西部、南部和中部。我们发现粉尘污染、PM10 (r = 0.8)和PM2.5 (r = 0.6)与车辆频率呈正相关(r = -0.5),与臭氧呈负相关(r = -0.5)。与NOx呈弱正相关(r = 0.2),与SO2呈弱负相关(r = -0.3)。该研究表明,汽车尾气及其移动导致了德里空气质量的恶化。我们的研究结果建议促进公共交通的使用,同时实施BS-VI阶段车辆,并在种植本地树种的道路沿线开发植被过滤器。
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Influence of Vehicular Frequency on Air Quality of Delhi, India
Abstract Vehicular traffic has registered a phenomenal growth in the last few decades on Delhi roads, their increasing number is a cause of concern for city planners and administrators as they not only deteriorated the quality of environment but has also affected the human health. In this context, we studied the influence of traffic i.e., vehicular frequency on air quality of Delhi. Five sites were selected in four cardinal directions i.e., North, South, East, West and Centre for which data of air pollutants were already available in public domain (DPCC online website). Vehicular frequencies were recorded for Light Motor Vehicle (LMV) and Heavy Motor Vehicle (HMV) for both weekdays and weekends. Correlative analysis were carried out to study the relationship between vehicular frequency and air pollutants. The study showed, East of Delhi had the highest traffic load followed by North, West, South and Centre. We found statistically significant positive correlation between dust pollution, PM10 (r = 0.8) and PM2.5 (r = 0.6) with vehicular frequency while negative association with ozone (r = –0.5). A weak positive correlation was found with NOx (r = 0.2) while weak negative correlation with SO2 (r = –0.3). The study revealed that vehicular exhaust and their movement contribute in deteriorating the air quality of Delhi. Our findings suggest promotion of usage of public transport along with implementation of BS-VI stage vehicles and development of vegetation filters along the roads with native tree species.
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