Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies, Beijing, China.
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies, Beijing, China.
Lancet Planet Health. 2018 Apr;2(4):e151-e161. doi: 10.1016/S2542-5196(18)30050-0. Epub 2018 Apr 4.
Except for comparing the implementation costs of the Paris Agreement with potential health benefits at the national levels, previous studies have not explored the health impacts of the nationally determined contributions (NDCs) by countries and in regional details. In this Lancet Countdown study, we aimed to estimate and monetise the health benefits of China's NDCs in the electric power generation sector, and then compare them with the implementation costs, both at the national and regional levels.
In this modelling study, we linked the Multi-regional model for Energy Supply system and their Environmental ImpaCts, the Multi-resolution Emission Inventory for China model, the offline-coupled Weather Research and Forecasting model, the Community Multiscale Air Quality model, and the Integrated Health Impact Assessment model with a time scope from 2010 to 2050. We calculated the PM concentrations and compared the health impacts and implementation costs between two scenarios that reflect CO and air pollutant emissions-the reference (REF) scenario (no climate policy) and the NDC scenario (100% realisation of NDC targets: CO emission intensity needs to be about 40% below 2010 emissions by 2030 [roughly 35% below 2030 emissions in REF], and about 90% below 2010 emissions by 2050 [roughly 96% below 2050 emissions in REF]).
Under a comparatively optimistic health benefits valuation condition, at the national level, 18-62% of implementation costs could be covered by the health benefits in 2030. In 2050, the overall health benefits would substantially increase to 3-9 times of the implementation costs. However, northwest China would require the highest implementation costs and will also have more premature deaths because of a more carbon-intensive energy structure than business as usual. By 2030, people in northwest China (especially in Gansu, Shaanxi, and Xinjiang provinces) would need to bear worse air quality, and 10 083 (95% CI 3419-16 138) more premature deaths annually. This undesirable situation would diminish by about 2050. A solution that assumes no growth in air pollutant emissions in 2030 at the regional level is technically feasible, but would not be cost-effective.
Our results suggest that cost-benefit analysis of climate policy that omits regional air pollution could greatly underestimate benefits. A compensation mechanism for inter-regional interests (including financial, technological, and knowledge support) should be established for regions that give up their human health benefits for the sake of the whole nation to realise the climate change targets.
National Natural Science Foundation of China and Cyrus Tang Foundation.
除了比较《巴黎协定》在国家层面上实施成本与潜在健康效益外,之前的研究尚未探究各国和区域层面上国家自主贡献(NDC)对健康的影响。在这项柳叶刀倒计时研究中,我们旨在估计和货币化中国发电部门 NDC 的健康效益,并在国家和区域层面上比较其实施成本。
在这项建模研究中,我们将多区域能源供应系统及其环境影响模型、中国多分辨率排放清单模型、离线耦合天气研究与预测模型、社区多尺度空气质量模型和综合健康影响评估模型与 2010 年至 2050 年的时间范围联系起来。我们计算了 PM 浓度,并比较了 REF 情景(无气候政策)和 NDC 情景(100%实现 NDC 目标:到 2030 年,CO 排放强度需要比 2010 年降低约 40%[大致比 REF 情景下的 2030 年降低 35%],到 2050 年,CO 排放强度需要比 2010 年降低约 90%[大致比 REF 情景下的 2050 年降低 96%])下的 PM 浓度和健康影响以及实施成本。
在一种比较乐观的健康效益估值条件下,到 2030 年,实施成本的 18%至 62%可以通过健康效益来覆盖。到 2050 年,整体健康效益将大幅增加到实施成本的 3 至 9 倍。然而,中国西北部将需要最高的实施成本,并且由于比往常更密集的碳能源结构,也将有更多的过早死亡。到 2030 年,中国西北部(特别是甘肃、陕西和新疆)的人们将需要承受更差的空气质量,每年将有 10083(95%CI 3419-16138)人过早死亡。这种不利情况到 2050 年将有所缓解。在区域层面上假设 2030 年空气污染排放没有增长的解决方案在技术上是可行的,但不具有成本效益。
我们的研究结果表明,忽略区域空气污染的气候政策成本效益分析可能会大大低估效益。对于为了实现气候变化目标而放弃自身健康利益的地区,应该建立一个区域间利益(包括财政、技术和知识支持)的补偿机制。
国家自然科学基金和 Cyrus Tang 基金会。