PeSTO Research Group Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
Environ Int. 2014 Sep;70:50-61. doi: 10.1016/j.envint.2014.05.007. Epub 2014 Jun 5.
Biomagnetic monitoring of tree leaf deposited particles has proven to be a good indicator of the ambient particulate concentration. The objective of this study is to apply this method to validate a local-scale air quality model (ENVI-met), using 96 tree crown sampling locations in a typical urban street canyon. To the best of our knowledge, the application of biomagnetic monitoring for the validation of pollutant dispersion modeling is hereby presented for the first time. Quantitative ENVI-met validation showed significant correlations between modeled and measured results throughout the entire in-leaf period. ENVI-met performed much better at the first half of the street canyon close to the ring road (r=0.58-0.79, RMSE=44-49%), compared to second part (r=0.58-0.64, RMSE=74-102%). The spatial model behavior was evaluated by testing effects of height, azimuthal position, tree position and distance from the main pollution source on the obtained model results and magnetic measurements. Our results demonstrate that biomagnetic monitoring seems to be a valuable method to evaluate the performance of air quality models. Due to the high spatial and temporal resolution of this technique, biomagnetic monitoring can be applied anywhere in the city (where urban green is present) to evaluate model performance at different spatial scales.
利用树叶沉积颗粒的生物磁监测被证明是监测环境颗粒物浓度的一个很好的指标。本研究的目的是应用该方法验证一种局部尺度空气质量模型（ENVI-met），在一个典型的城市街道峡谷中使用 96 个树冠采样点。据我们所知，生物磁监测在验证污染物扩散模型方面的应用尚属首次。ENVI-met 的定量验证表明，在整个树叶生长期内，模型和测量结果之间存在显著相关性。与第二部分（r=0.58-0.64，RMSE=74-102%）相比，靠近环路的街道峡谷前半部分（r=0.58-0.79，RMSE=44-49%）ENVI-met 的性能要好得多。通过测试高度、方位角位置、树木位置和与主要污染源的距离对获得的模型结果和磁测量的影响，评估了空间模型的行为。我们的结果表明，生物磁监测似乎是评估空气质量模型性能的一种有价值的方法。由于该技术具有较高的时空分辨率，生物磁监测可以在城市的任何地方（有城市绿化的地方）应用，以评估不同空间尺度的模型性能。
