用于印度公路废气排放分析的车辆存量编号和生存函数:1993-2018

Sustainability Pub Date : 2024-07-23 DOI:10.3390/su16156298
S. Guttikunda
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引用次数: 0

摘要

公路运输在维持住宅、商业和工业活动的所有人员和货物运输需求方面发挥着至关重要的作用,在印度的大小城市中,汽车尾气排放和道路上车辆行驶产生的灰尘造成的颗粒物污染占全年污染总量的 50%之多。因此,有效管理汽车尾气排放不仅对改善目前的空气质量至关重要,而且对确保减少空气污染的努力产生长期效益也至关重要。在国家清洁空气计划(NCAP)批准的 131 个城市的清洁空气行动计划中,50% 以上的可实施行动以交通为中心。可靠且可复制的汽车尾气排放清单对有效规划至关重要,它有助于建立基线、支持情景分析并跟踪该行业的进展。这一过程始于获取准确的车辆存量,通常从车辆登记数据库、交通调查和其他政府记录中获取。通常情况下,在印度等中低收入国家,这些数字需要经过大量数据清理才能用于排放和污染分析。本文介绍了经过清理的、可开放访问的印度车辆存量数据库,并概述了为未来几年建立和维护在用车年龄组合数据库的方法。该数据库涵盖了 1993 年至 2018 年全国和各邦的数据,并使用生存函数对车辆的车龄分布进行了估算。通过提供全面可靠的数据源,本文旨在支持可持续的国家和城市空气质量管理工作,帮助政策制定者和利益相关者做出明智决策,改善空气质量和公众健康。
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Vehicle Stock Numbers and Survival Functions for On-Road Exhaust Emissions Analysis in India: 1993–2018
Road transport plays a crucial role in sustaining all the personal and freight movement needs of residential, commercial, and industrial activities, and in Indian cities, big and small, vehicle exhaust emissions and dust from vehicle movement on the roads contribute to as much as 50% of particulate matter pollution in a year. Therefore, effective management of vehicle exhaust emissions is vital not only for improving current air quality but also for ensuring the long-term benefits from efforts to reduce air pollution. In the approved clean air action plans for 131 cities under the national clean air program (NCAP), more than 50% of the implementable actions are transport-centric. Having a reliable and replicable vehicle exhaust emissions inventory is essential for effective planning, which can help establish a baseline, support scenario analysis, and allow for tracking progress in the sector. This process begins with accessing accurate vehicle stock numbers, typically obtained from vehicle registration databases, traffic surveys, and other governmental records. Often, in low- and middle-income countries like India, these numbers require extensive data cleaning before they can be used for emissions and pollution analysis. This paper presents a cleaned, open-access vehicle stock database for India and outlines a methodology to build and maintain an in-use vehicle age-mix database for future years. The database covers the years 1993 to 2018 for the entire country and individual states, along with estimates of the age distribution of vehicles using survival functions. By offering a comprehensive and reliable data source, this paper aims to support sustainable national and urban air quality management efforts, helping policymakers and stakeholders make informed decisions to improve air quality and public health.
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