School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; China National Environmental Monitoring Center, State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, Beijing 100012, China.
China National Environmental Monitoring Center, State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, Beijing 100012, China.
J Environ Sci (China). 2018 May;67:179-190. doi: 10.1016/j.jes.2017.08.011. Epub 2017 Aug 30.
Owing to the vast territory of China and strong regional characteristic of ozone pollution, it's desirable for policy makers to have a targeted and prioritized regulation and ozone pollution control strategy in China based on scientific evidences. It's important to assess its current pollution status as well as spatial and temporal variation patterns across China. Recent advances of national monitoring networks provide an opportunity to insight the actions of ozone pollution. Here, we present rotated empirical orthogonal function (REOF) analysis that was used on studying the spatiotemporal characteristics of daily ozone concentrations. Based on results of REOF analysis in pollution seasons for 3years' observations, twelve regions with clear patterns were identified in China. The patterns of temporal variation of ozone in each region were separated well and different from each other, reflecting local meteorological, photochemical or pollution features. A rising trend in annual averaged Eight-hour Average Ozone Concentrations (O-8hr) from 2014 to 2016 was observed for all regions, except for the Tibetan Plateau. The mean values of annual and 90 percentile concentrations for all 338 cities were 82.6±14.6 and 133.9±25.8μg/m, respectively, in 2015. The regionalization results of ozone were found to be influenced greatly by terrain features, indicating significant terrain and landform effects on ozone spatial correlations. Among 12 regions, North China Plain, Huanghuai Plain, Central Yangtze River Plain, Pearl River Delta and Sichuan Basin were realized as priority regions for mitigation strategies, due to their higher ozone concentrations and dense population.
由于中国地域辽阔，臭氧污染具有很强的区域性，中国的政策制定者需要根据科学证据，制定有针对性和优先级的法规和臭氧污染控制策略。评估中国当前的污染状况以及臭氧污染的时空变化模式非常重要。国家监测网络的最新进展为评估臭氧污染提供了机会。在这里，我们提出了旋转经验正交函数（REOF）分析，用于研究中国日臭氧浓度的时空特征。基于 3 年观测的污染季节 REOF 分析结果，在中国确定了 12 个具有明显特征的区域。每个区域臭氧的时间变化模式都很好地分离且彼此不同，反映了当地的气象、光化学或污染特征。除青藏高原外，所有地区 2014 年至 2016 年的 8 小时平均臭氧浓度（O-8hr）年平均值均呈上升趋势。2015 年，所有 338 个城市的年平均值和 90%分位数浓度分别为 82.6±14.6μg/m3和 133.9±25.8μg/m3。臭氧的区域化结果受地形特征的影响很大，表明地形和地貌对臭氧空间相关性有显著影响。在 12 个区域中，华北平原、黄淮平原、长江中下游平原、珠江三角洲和四川盆地由于臭氧浓度较高和人口密集，被认为是缓解策略的优先区域。
