空间离散化分辨率对水文影响的影响——LID实践的布局优化性能

Climate change and increasing urbanization have worsened urban floods and other water problems, and it is generally accepted that the optimization of the spatial layout of low impact development (LID) practices is a promising solution. Existing studies have focused on coupling the hydrological model with optimization methods, but little is known about the effects of the spatial discretization of the model on the optimization results. In this study, the scale effects were examined in a case study in Guangzhou, China. Four models at various spatial discretization levels, namely models R1, R2, R3, and R4, with an average unit size of 0.022*10(4), 0.405*10(4), 2.43*10(4), and 4.865*104 m(2), respectively, were constructed to investigate the performance difference caused by delineation scales. The results show that the highest-resolution model R1 (one unit represented one type of land cover) provides more cost-effective layout schemes, but during a heavy rainstorm, the solution set provided by a coarser model are very similar to that generated by the finest model R1. A coarser model can provide wider solution sets, but most of these schemes overshadow some types of LID practices such rain garden and bio-retention cell, which also have a critical role in urban heat mitigation, air quality improvement, and so Due to the cumbersome work of catchment subdividing and time-consuming optimization process, a coarse model would be a good substitute to a large area. These findings provide new insights on how to achieve better performance by subdividing the catchment at a proper scale when optimizing the spatial layout of LID practices.

气候变化和日益增长的城市化加剧了城市洪水和其他关于水的问题，人们普遍认为低影响开发空间布局优化（LID）实践是一个很有前途的解决方案。现有的研究主要集中在将水文模型与优化方法耦合，但很少已知模型的空间离散化的影响优化结果。在本研究中，我们对量表效应进行了检验在中国广州的一个案例研究中。四种模型在不同的空间上离散化水平，即模型r1、r2、r3和r4，具有平均值单位尺寸为0.022*10(4)、0.405*10(4)、2.43*10(4)、4.865*104 m (2)，分别构造来研究性能差异由轮廓尺度引起的。实验结果表明，结果表明：最高分辨率的模型r1(一个单位代表一种土地类型封面)提供了更具成本效益的布局方案，但在一个重型暴雨时，由一个较粗的模型提供的解决方案集非常相似到由最好的模型r1生成的模型。一个较粗的模型可以提供更广泛的解决方案集，但大多数这些方案都掩盖了某些类型的如雨花园和生物保留细胞，也有一个在城市热量减排、改善空气质量等方面发挥着关键作用在…上由于集水区细分和在耗时的优化过程中，一个粗糙的模型将是一个很好的选择代替大面积的。这些发现为如何做提供了新的见解通过适当的细分来获得更好的性能在优化LID实践的空间布局时缩比例。