Department of Plant Biology, Ecology and Earth Sciences, Faculty of Science, University of Extremadura, Avda. Elvas s/n, Badajoz, Spain.
Department of Construction, School of Technology, University of Extremadura, Avda. de la Universidad s/n, Cáceres, Spain.
Sci Total Environ. 2019 Nov 25;693:133576. doi: 10.1016/j.scitotenv.2019.07.382. Epub 2019 Jul 25.
Ornamental trees bring benefits for human health, including reducing urban pollution. However, some species, such as plane trees (Platanus sp.), produce allergenic pollen. Consequently, urban maps are a valuable tool for allergic patients and allergists, but they often fail to include variables that contribute to the "building downwash effect", such as the width and shape of streets and the height of buildings. Other factors that directly influence pollen dispersion (slopes and other geographical features) also have not traditionally been discussed. The LiDAR (Laser Imaging Detection and Ranging) technique enables one to consider these variables with high accuracy. This work proposes an Aerobiological Index to create Risk maps for Ornamental Trees (AIROT) and the establishment of potential areas of risk of exposure to Platanus pollen. LiDAR data from five urban areas were used to create the DEM and DSM (Digital Elevation and Surface Models) needed to perform further analysis. GIS software was used to map the points for each city and to create risk maps by Kriging, with stable (3 cases) and exponential function (2 cases) as the optimal models. In short, the AIROT index was a useful tool to map possible biological risks in cities. Since AIROT allows each city to consider its own characteristics, including geographical specifications, by using remote sensing and geostatistics techniques, the establishment of risk maps and healthy itineraries is valuable for allergic patients, allergists, architects and urban planners. This new aerobiological index provides a new decision-making tool related to urban planning and allergenicity assessment.
观赏树木有益于人类健康,包括减少城市污染。然而,一些树种,如悬铃木(Platanus sp.),会产生致敏花粉。因此,城市地图是过敏患者和过敏症专家的宝贵工具,但它们通常未能包括有助于“建筑向下气流效应”的变量,如街道的宽度和形状以及建筑物的高度。其他直接影响花粉散布的因素(坡度和其他地理特征)也没有得到传统的讨论。激光成像检测和测距 (LiDAR) 技术可以高精度地考虑这些变量。本工作提出了一种创建观赏树木空气生物学指数风险图 (AIROT) 的方法,并确定了接触悬铃木花粉的潜在风险区域。利用来自五个城市的 LiDAR 数据创建了所需的数字高程模型 (DEM) 和数字表面模型 (DSM),以进行进一步分析。GIS 软件用于为每个城市绘制点,并通过克里金插值创建风险图,其中稳定(3 个案例)和指数函数(2 个案例)为最优模型。总之,AIROT 指数是绘制城市可能存在的生物风险的有用工具。由于 AIROT 允许每个城市使用遥感和地统计学技术考虑其自身特点,包括地理规格,因此,建立风险图和健康路线对过敏患者、过敏症专家、建筑师和城市规划者具有重要价值。这个新的空气生物学指数为城市规划和变应原性评估提供了一个新的决策工具。