The impact of urban development on hydrologic regime from catchment to basin scales

Yang, Guoxiang; Bowling, L. C.; Cherkauer, Keith A.; Pijanowski, Bryan C.

doi:10.1016/j.landurbplan.2011.08.003

Cited by 108 publications

(73 citation statements)

References 32 publications

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“…Previous studies have found the importance of the configuration of the impervious surface for urban waterlogging risk spots. For example, Yang et al [30], Du et al [27] and Yeo et al [64] found that the configurations of the impervious surface in terms of the locations in the urban such as basin, upstream and downstream played important roles in urban flood risk. Su et al [15] analyzed the correlation of urban waterlogging risk with the configuration of the whole landscape quantified by landscape metrics using Pearson correlation analysis.…”

Section: Results Of Partial Redundancy Analysis At Multiple Scalesmentioning

confidence: 99%

“…Previous studies found that the composition of the impervious surface (the impervious surface area) reduced the total infiltration of water into the surface and, thereby, increased the surface runoff and peak discharge, which ultimately raised the associated risk of urban flooding [27,28]. In addition, several studies showed that the spatial configuration of the impervious surface influenced surface runoff and the potential urban flood risk, as well [27,29,30]. However, most previous studies primarily highlighted the importance of the location of the impervious surface (e.g., upstream, midstream or downstream) in an urban watershed or catchment to define the influence of the spatial configuration of the impervious surface.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Cheng

et al. 2018

Sustainability

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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.

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Section: Results Of Partial Redundancy Analysis At Multiple Scalesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zhang

Cheng

et al. 2018

Sustainability

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“…With the removal of vegetation and creation of hard surfaces, rainwater infiltration and natural groundwater recharge decrease. This results in increased runoff rates and volumes, reduced infiltration, groundwater recharge, and baseflow to urban streams [6,7]. The altered hydrology then causes environmental impacts [8], including downstream flooding [9], streambank erosion and stream downcutting [4,9,10]; declining water quality due to increases in sediment, nutrients, and heavy metals [11,12], and a decline in aquatic biota [13].…”

Section: Urban Stormwater Impactsmentioning

confidence: 99%

Review and Research Needs of Bioretention Used for the Treatment of Urban Stormwater

Liu

Sample

Bell

et al. 2014

Water

220

105

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Abstract:The continued development of urban areas in recent decades has caused multiple issues affecting the sustainability of urban drainage systems. The increase of impervious surface areas in urban regions alters watershed hydrology and water quality. Typical impacts to downstream hydrologic regimes include higher peak flows and runoff volumes, shorter lag times, and reduced infiltration and base flow. Urban runoff increases the transport of pollutants and nutrients and thus degrades water bodies downstream from urban areas. One of the most frequently used practices to mitigate these impacts is bioretention. Despite its widespread use, research on bioretention systems remains active, particularly in terms of mix design and nitrogen treatment. Recent research focusing on bioretention is reviewed herein. The use of mesocosms provides the ability to isolate particular treatment processes and replicate variability. Computational models have been adapted and applied to simulate bioretention, offering potential improvements to their operation, maintenance, and design. Maintenance practices are important for sustained operation and have also been reviewed. Predicting maintenance is essential to assessing lifecycle costs. Within these research areas, gaps are explored, and recommendations made for future work.

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“…The total global urban area quadrupled during the period from 1970 to 2000 (Seto, Fragkias, Güneralp, & Reilly, 2011). Though urbanization promotes socioeconomic development and improves quality of life, urban expansion inevitably converts the natural and semi-natural ecosystems into impervious surfaces and thus has tremendous ecological and environmental consequences, such as forest loss and fragmentation (Miller, 2012;Zhou, Huang, Pickett, & Cadenasso, 2011), local and regional climate change (Kalnay & Cai, 2003;Kaufmann et al, 2007), hydrological circle alteration (Jacobson, 2011;Yang, Bowling, Cherkauer, & Pijanowski, 2011), and biotic homogenization (McKinney, 2008(McKinney, , 2006. While urban land covers only less than 3% of the global terrestrial surface, the ecological and environmental impacts of urban expansion are global (Grimm et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Forty years of urban expansion in Beijing: What is the relative importance of physical, socioeconomic, and neighborhood factors?

2013

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a b s t r a c tUrban expansion is one of the major causes of many ecological and environmental problems in urban areas and the surrounding regions. Understanding the process of urban expansion and its driving factors is crucial for urban growth planning and management to mitigate the adverse impacts of such growth. Previous studies have primarily been conducted from a static point of view by examining the process of urban expansion for only one or two time periods. Few studies have investigated the temporal dynamics of the effects of the driving factors in urban expansion. Using Beijing as a case study, this research aims to fill this gap. Urban expansion from 1972 to 2010 was detected from multi-temporal remote sensing images for four time periods. The effects of physical, socioeconomic, and neighborhood factors on urban expansion and their temporal dynamics were investigated using binary logistic regression. In addition, the relative importance of the three types of driving factors was examined using variance partitioning. The results showed that Beijing has undergone rapid and magnificent urban expansion in the past forty years. Physical, socioeconomic, and neighborhood factors have simultaneously affected this expansion. Socioeconomic factors were the most important driving force, except during the period of 1972e1984. In addition, the effects of these driving factors on urban expansion varied with time. The magnitude of the unique effects of physical factors and neighborhood factors declined while that of socioeconomic factors increased along with the urbanization process. The findings of this study can help us better understand the process of urban expansion and thus have important implications for urban planning and management in Beijing and similar cities.

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The impact of urban development on hydrologic regime from catchment to basin scales

Cited by 108 publications

References 32 publications

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

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

Review and Research Needs of Bioretention Used for the Treatment of Urban Stormwater

Forty years of urban expansion in Beijing: What is the relative importance of physical, socioeconomic, and neighborhood factors?

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