到 2030 年减缓和适应气候变化行动的空气质量和健康共同效益:印度艾哈迈达巴德的跨学科建模研究。

Environmental research, health : ERH Pub Date : 2023-06-01 Epub Date: 2023-03-01 DOI:10.1088/2752-5309/aca7d8
Vijay S Limaye, Akhilesh Magal, Jaykumar Joshi, Sujit Maji, Priya Dutta, Prashant Rajput, Shyam Pingle, Prima Madan, Polash Mukerjee, Shahana Bano, Gufran Beig, Dileep Mavalankar, Anjali Jaiswal, Kim Knowlton
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引用次数: 0

摘要

在燃煤为空调提供电力的地方,气候变化导致的气温升高使空气质量恶化。用清洁和可再生能源替代污染严重的煤炭,并通过反光凉爽屋顶促进适应气候变暖的气候解决方案,可以减少建筑物的制冷能源需求,降低电力部门的碳排放,改善空气质量和健康状况。印度艾哈迈达巴德是一座空气污染水平超过国家健康标准的城市,我们通过跨学科建模方法研究了气候解决方案对该市空气质量和健康的共同效益。以 2018 年为基线,我们量化了 2030 年细微颗粒物(PM2.5)空气污染和全因死亡率的变化,这些变化来自增加可再生能源的使用(减缓)和扩大艾哈迈达巴德的凉爽屋顶抗热计划(适应)。我们应用了当地的人口和健康数据,并比较了 2030 年减缓和适应(M&A)情景与 2030 年一切照旧(BAU)情景(无气候变化应对措施),每种情景都相对于 2018 年的污染水平。我们估计,2030 年 "一切照旧 "情景会导致 PM2.5 空气污染比 2018 年增加 4.13 µg m-3,而在 2030 年减缓和适应情景下,PM2.5 空气污染比 2018 年下降 0.11 µg m-3。与 2030 年 BAU 相比,2030 年 M&A 情景下 PM2.5 空气污染的减少导致每年因各种原因过早死亡的人数减少 1216-1414 人。与 2030 年 BAU 相比,2030 年实现国家清洁空气计划、国家环境空气质量标准或世界卫生组织 PM2.5 年度空气质量指导目标可分别减少 6510、9047 或 17 369 例死亡。通过整合气候、能源、冷却、土地覆盖、空气污染和健康数据,这种综合建模方法可用于估算其他环境下的当地空气质量和健康共同效益。我们的研究结果表明,城市一级的气候变化应对政策可以实现可观的空气质量和健康共同效益。这些工作可以为公众讨论减缓和适应气候变化的近期健康效益提供信息。
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Air quality and health co-benefits of climate change mitigation and adaptation actions by 2030: an interdisciplinary modeling study in Ahmedabad, India.

Climate change-driven temperature increases worsen air quality in places where coal combustion powers electricity for air conditioning. Climate solutions that substitute clean and renewable energy in place of polluting coal and promote adaptation to warming through reflective cool roofs can reduce cooling energy demand in buildings, lower power sector carbon emissions, and improve air quality and health. We investigate the air quality and health co-benefits of climate solutions in Ahmedabad, India-a city where air pollution levels exceed national health-based standards-through an interdisciplinary modeling approach. Using a 2018 baseline, we quantify changes in fine particulate matter (PM2.5) air pollution and all-cause mortality in 2030 from increasing renewable energy use (mitigation) and expanding Ahmedabad's cool roofs heat resilience program (adaptation). We apply local demographic and health data and compare a 2030 mitigation and adaptation (M&A) scenario to a 2030 business-as-usual (BAU) scenario (without climate change response actions), each relative to 2018 pollution levels. We estimate that the 2030 BAU scenario results in an increase of PM2.5 air pollution of 4.13 µg m-3 from 2018 compared to a 0.11 µg m-3 decline from 2018 under the 2030 M&A scenario. Reduced PM2.5 air pollution under 2030 M&A results in 1216-1414 fewer premature all-cause deaths annually compared to 2030 BAU. Achievement of National Clean Air Programme, National Ambient Air Quality Standards, or World Health Organization annual PM2.5 Air Quality Guideline targets in 2030 results in up to 6510, 9047, or 17 369 fewer annual deaths, respectively, relative to 2030 BAU. This comprehensive modeling method is adaptable to estimate local air quality and health co-benefits in other settings by integrating climate, energy, cooling, land cover, air pollution, and health data. Our findings demonstrate that city-level climate change response policies can achieve substantial air quality and health co-benefits. Such work can inform public discourse on the near-term health benefits of mitigation and adaptation.

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