Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study

Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study
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DOI:
10.1021/es050581y
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发表时间:
2005-09-01
影响因子:
11.4
通讯作者:
Hewitt, CN
Hewitt, CN
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Donovan, RG;Stewart, HE;Hewitt, CN

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利用大气化学模型(CiTTyCAT)量化了在高光化学污染情景下树木对城市空气质量的影响。考虑了城市森林中污染物沉积和生物源性挥发性有机化合物(BVOC)排放的综合影响,并以英国西米德兰兹大都市区为例进行了研究。虽然就O-3、NO2、CO和HNO3的沉积而言,所有树木都有利于空气质量,但由于BVOC和NOx的反应,一些树木有可能促进O-3的形成。许多模型情景用于开发城市树木空气质量评分(UTAQS),该评分根据树木改善空气质量的潜力对其进行排名。在考虑的30种树种中,松树、落叶松和白桦对改善城市空气质量的潜力最大,而橡树、柳树和杨树如果大量种植,则会恶化下风的空气质量。UTAQS分类是为从业人员设计的,旨在帮助他们实现可持续的城市空气质量。UTAQS分类适用于英国的所有城市地区和其他中纬度、温带气候地区,这些地区的树种与英国城市地区的树种相同。这里使用的建模方法可以在给定适当输入数据的情况下直接适用于世界上的所有领域。它提供了一个工具,可以帮助实现未来可持续的城市空气质量。
An atmospheric chemistry model (CiTTyCAT) is used to quantify the effects of trees on urban air quality in scenarios of high photochemical pollution. The combined effects of both pollutant deposition to and emission of biogenic volatile organic compounds (BVOC) from the urban forest are considered, and the West Midlands, metropolitan area in the UK is used as a case study. While all trees can be beneficial to air quality in terms of the deposition of O-3, NO2, CO, and HNO3, some trees have the potential to contribute to the formation of O-3 due to the reaction of BVOC and NOx. A number of model scenarios are used to develop an urban tree air quality score (UTAQS) that ranks trees in order of their potential to improve air quality. Of the 30 species considered, pine, larch, and silver birch have the greatest potential to improve urban air quality, while oaks, willows, and poplars can worsen downwind air quality if planted in very large numbers. The UTAQS classification is designed with practitioners in mind, to help them achieve sustainable urban air quality. The UTAQS classification is applicable to all urban areas of the UK and other mid-latitude, temperate climate zones that have tree species common to those found in UK urban areas. The modeling approach used here is directly applicable to all areas of the world given the appropriate input data. It provides a tool that can help to achieve future sustainable urban air quality.