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首页> 外文期刊>Cogent Environmental Science >Human health risk assessment due to air pollution in 10 urban cities in Maharashtra, India
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Human health risk assessment due to air pollution in 10 urban cities in Maharashtra, India

机译：印度马哈拉施特拉邦10个城市的空气污染引起的人类健康风险评估

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This study assesses human health risk in 10 cities in Maharashtra, India, in terms of mortality and morbidity due to three critical pollutants (i.e. PM_(10), SO_(2), and NO_(2)). Risk of mortality/morbidity due to air pollution (Ri-MAP) model adopted in air quality health impact assessment (AirQ) software is used to evaluate the direct health impacts of various critical air pollutants in various cities in Maharashtra during the period 2004–2013. The result shows that excess number of mortality and morbidity in Nagpur, Thane, Aurangabad, Kolhapur, and Chandrapur is in increasing trend, while cities like Mumbai and Solapur are in decreasing trend, and other cities as Pune, Nashik, and Navi-Mumbai are in a steady-state condition. Cities having highest annual average excess number of total mortality, cardiovascular mortality, and respiratory motility in one million population are Mumbai (1,192, 724, and 121) (high population city), Chandrapur (944, 533, and 98) (low population city), Navi-Mumbai (797, 492, and 84), and Pune (733, 449, and 78) in decreasing order. Cities having highest annual average of hospital admission due to respiratory disease and cardiovascular disease among one million population are in decreasing order: Mumbai (1,519 and 582), Chandrapur (1,173 and 451), Navi-Mumbai (986 and 378), Pune (901 and 348), and Solapur (797 and 320).
机译：这项研究根据印度三种主要污染物（即PM_（10），SO_（2）和NO_（2））的死亡率和发病率评估了印度马哈拉施特拉邦10个城市的人类健康风险。空气质量健康影响评估（AirQ）软件采用的空气污染致死/发病风险模型（Ri-MAP）用于评估2004-2013年间马哈拉施特拉邦各个城市的各种关键空气污染物对健康的直接影响。结果表明，那格浦尔，塔那，奥兰加巴德，科拉哈普尔和钱德拉布尔的死亡率和发病率呈上升趋势，孟买和索拉普尔等城市呈下降趋势，浦那，纳西克和新孟买等城市呈上升趋势。在稳定状态下。在100万人口中，平均总死亡率，心血管疾病死亡率和呼吸运动的年平均超额人数最高的城市是孟买（1192、724和121）（高人口城市），钱德拉布尔（944、533和98）（低人口城市） ），新孟买（797、492和84）和浦那（733、449和78）的降序排列。在100万人口中，因呼吸系统疾病和心血管疾病而导致每年住院平均数最高的城市以降序排列：孟买（1,519和582），钱德拉（1,173和451），新孟买（986和378），浦那（901）和348）和索拉普尔（797和320）。

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