Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Abstract

An impervious surface is considered one of main factors affecting urban waterlogging. Previous studies found that spatial pattern (composition and configuration) of impervious surfaces affected urban waterlogging. However, their relative importance remains unknown, and the scale-effect of the spatial pattern on urban waterlogging has been ignored. To move forward, our research studied the relationship between spatial patterns on the impervious surface and its subcategories (building and pavement) on urban waterlogging risk spots using Pearson correlation, partial redundancy analysis and performed at three grid scales (1 km × 1 km, 3 km × 3 km, 5 km × 5 km) and the catchment scale based on different spatial resolution land cover maps (2 m, 10 m and 30 m). We identified positively-correlated metrics with urban waterlogging risk spots, such as the composition of impervious surface (i.e., total impervious surface, building, pavement) and the aggregation metric of the total impervious surface at most scales, as well as two negatively correlated metrics (i.e., proximity metric of building, fragmentation metric of total impervious surface). Furthermore, the total variance of urban waterlogging risk spots explained by the spatial pattern of the total impervious surface and its subcategories increased with studied grid and catchment scales while decreasing from a fine to a coarse resolution. The relative contribution of the impervious surface composition and configuration to the variation of urban waterlogging risk spots varied across scales and among impervious surface types. The composition contributed more than the configuration did for the total impervious surface at both grid and catchment scales. Similar to total impervious surface, the composition of buildings was more important than its configuration was at all the grid scales, while the configuration of buildings was more important at the catchment scale. Contrary to the total impervious surface, the configuration of pavement at both the grid and catchment scales mattered more than their compositions did. Furthermore, the composition of the building was more important than that of pavement, but its configuration mattered less. Our study could provide a multi-scale landscape perspective with detailed suggestions for controlling the area of impervious surface and optimizing its spatial configuration in urban waterlogging risk mitigation and urban planning.

Spatiotemporal Variance Assessment of Urban Rainstorm Waterlogging Affected by Impervious Surface Expansion: A Case Study of Guangzhou, China

“…If the location is a "point," such as the intersection of two roads, the entrance of the housing estate, concrete building, and so on, it is represented by a dot. If the record is a road section, according to the relevant region recorded by the public news and related waterlogging control record, its centre of mass is described as the event point, in accordance with the practices recommended by Huang et al (2018) and [56,63], due to the difficulty of corresponding to the specific location. Each data point represents an urban rainstorm waterlogging incident.…”

“…Mejia and Moglen (2009) pointed out that the hydrological model is very sensitive to the location of the impervious surface [55]. That is, different spatial patterns of the same total impervious surface area will significantly impact rainfall runoff [56]. This finding means that urban renewal should formulate different planning policies for different regions of impervious surfaces.…”

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

“…Runoff infiltration capacity and detention volume decrease in recent years because of urban expansion of the study area, where impermeable surface accounted for 49.26% of the study area by the end of 2018. Furthermore, many subsurface facilities in the study area, such as basements, underground parking lots, and traffic, were built, which could produce the tremendous hidden danger of urban waterlogging (Zhang et al 2018). In addition, the mixed drainage system from rainwater and sewage in the study area is prone to cause overloading and waterlogging if there is a short-duration heavy rainfall.…”

Performance Evaluation and Comparison of Modified Spectral Mixture Analysis Method for Different Images of Landsat Series Satellites

“…Based exclusively on the overall accuracy reports, the DELSMA model proved to be a more efficient method for extracting impervious surface. Our study will provide a reliable method of impervious surface estimation for the urban planner and management in monitoring urban expansion, revealing urban heat island, and estimating urban surface runoff, using time-series Landsat imagery.Sustainability 2019, 11, 6227 2 of 18 waterlogging [8,9], and water quality deterioration [10][11][12]. The spatial distribution of impervious surface is not only an important characteristic of the urbanization process, but also a critical indicator for urban ecological environment quality evaluation [13][14][15].…”

“…Sustainability 2019, 11, 6227 2 of 18 waterlogging [8,9], and water quality deterioration [10][11][12]. The spatial distribution of impervious surface is not only an important characteristic of the urbanization process, but also a critical indicator for urban ecological environment quality evaluation [13][14][15].…”