从扩散角度评估城市绿地效应
Estimating the Effects of Urban Green Regions in terms of Diffusion
摘要：
城市与其各自的绿色区域之间的相互作用对应着一个有趣的问题，在过去几十年里，这个问题越来越受到关注。这些关系具有多种性质，从为动物提供栖息地到温度和湿度动态。在文献中已经考虑了基于面积、大小、形状和距离的几种方法。鉴于绿色区域对城市地区的几个重要贡献涉及温度、湿度和气体（例如，氧气）交换，这是内在地与物理扩散，它成为特别有趣的模拟城市地区的绿色效应的扩散作为一种手段，更好地了解各自的影响。本工作报告了一个相关的方法。一旦给定城市的绿色区域通过语义分割自动识别并最终消除了伪影，则应用连续卷积作为一种手段来获得绿色效果随时间的扩散的展开。如图所示，扩散动力学本质上是令人感兴趣的，因为它可以强烈地受到绿色物质的空间分布的影响。特别是，我们观察到较小的绿色区域可以极大地促进扩散。所报告的方法已经说明了巴西城市Ribeirao Preto，其小型和中型的绿色区域被发现以有效的方式补充的扩散的绿色效果推断，从特定的参数设置下进行的模拟。
英文摘要：
The interaction between cities and their respective green regions corresponds to an interesting issue that has received growing attention over the last decades. These relationships have multiple natures, ranging from providing habitat for animal life to temperature and humidity dynamics. Several methods based on area, size, shape, and distance have been considered in the literature. Given that several important contributions of green regions to urban areas involve temperature, humidity and gases (e.g.~oxygen) exchanges, which are intrinsically related to physical diffusion, it becomes particularly interesting to simulate the diffusion of green effects over urban areas as a means of better understanding the respective influences. The present work reports a related approach. Once the green regions of a given city are automatically identified by semantic segmentation and have eventual artifacts eliminated, successive convolutions are applied as a means to obtain the unfolding of the diffusion of the green effects along time. As illustrated, the diffusion dynamics is intrinsically interesting because it can be strongly affected by the spatial distribution of the green mass. In particular, we observed that smaller green regions could substantially contribute to the diffusion. The reported approach has been illustrated with respect to the Brazilian city of Ribeirao Preto, whose small and medium-sized green regions were found to complement in an effective manner the diffusion of the green effects as inferred from the performed simulations under specific parameter settings.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
