Modeling carbon dioxide exchange in a single-layer urban canopy model
Modeling carbon dioxide exchange in a single-layer urban canopy model
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DOI：
10.1016/j.buildenv.2020.107243
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发表时间：
2020-09
影响因子：
7.4
通讯作者：
Peiyuan Li;Zhi-hua Wang
中科院分区：
文献类型：
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作者：
Peiyuan Li;Zhi-hua Wang
二氧化碳（CO2）是过去几个世纪推动全球气候变化的主要温室气体。作为应对全球变化的对策，许多碳减排努力都集中在城市地区——化石燃料、排放和污染物集中的热点地区。尽管植被和土壤的排放在城市生态系统的二氧化碳交换中发挥着至关重要的作用，但在现有的城市地表模型中，它们在很大程度上被忽视了。在这项研究中，我们通过将植物生理功能纳入建筑环境中，使用先进的单层城市冠层模型对城市中的生物二氧化碳交换进行参数化。此外，所提出的模型还包括人为二氧化碳通量，特别是基于网格数据集的交通排放。我们使用位于美国亚利桑那州菲尼克斯西部的涡流协方差通量塔的现场测量来评估所提出的模型。模型结果与建筑地形上观测到的碳通量非常吻合，均方根误差为 0.21 mg m−2s−1。此外，我们的模拟表明，正如预期的那样，非生物交通排放的二氧化碳是城市中最大的来源。然而，生物碳交换在建筑环境中可以显着增强，对总碳排放量做出同样重要的贡献，特别是在郊区。
Carbon dioxide (CO2) is the primary greenhouse gas that drives the global climate change in past centuries. Much effort of carbon mitigation as a countermeasure to global changes has focused on the urban areas – thehotspotsof fossil fuel and concentrated emission and pollutants. Despite their critical role in CO2exchange in urban ecosystem, emission from vegetation and soils are largely overlooked in existing urban land surface models. In this study, we parameterized the biogenic CO2exchange in cities using an advanced single-layer urban canopy model, by incorporating plant physiological functions in the built environment. In addition, the proposed model also includes the anthropogenic CO2fluxes especially that from traffic emissions based on gridded dataset. We evaluate the proposed model using field measurements from an eddy covariance flux tower located at west Phoenix, Arizona, USA. The model results are in good agreement with the observed carbon flux over the built terrain, with a root mean squared error of 0.21 mg m−2s−1. Furthermore, our simulations show that the abiotic traffic-emitted CO2amounts the largest source in cities, as expected. Nevertheless, the biogenic carbon exchange can be significantly enhanced in the built environment, making an equally important contributor to the total carbon emission especially in sub-urban areas.