Master planning for stream protection in urban watersheds

Urbonas, Ben; Doerfer, John T.

doi:10.2166/wst.2005.0053

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…Therefore, the increase of impervious surface area has a significant effect on urban water circulation, which is the main factor behind urban rainstorm waterlogging [17,46,47]. For example, Urbonas et al (2005) plotted the correlation between the urban storm runoff coefficient and urban impervious surface area ratio, indicating that the increase in impervious characteristics of underlying urban surfaces resulted in the rapid increase of urban runoff coefficient. Brun et al [48].…”

Section: Introductionmentioning

confidence: 99%

“…For example, Urbonas et al (2005) plotted the correlation between the urban storm runoff coefficient and urban impervious surface area ratio, indicating that the increase in impervious characteristics of underlying urban surfaces resulted in the rapid increase of urban runoff coefficient. Brun et al [48]. (2000) noted that if the surface runoff of urban impervious surfaces increases by 0.1 to 1 times, the surface runoff will increase by 2-5 times [49,50].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zhao

et al. 2018

Sustainability

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Urban rainstorm waterlogging has become a typical “city disease” in China. It can result in a huge loss of social economy and personal property, accordingly hindering the sustainable development of a city. Impervious surface expansion, especially the irregular spatial pattern of impervious surfaces, derived from rapid urbanization processes has been proven to be one of the main influential factors behind urban waterlogging. Therefore, optimizing the spatial pattern of impervious surfaces through urban renewal is an effective channel through which to attenuate urban waterlogging risk for developed urban areas. However, the most important step for the optimization of the spatial pattern of impervious surfaces is to understand the mechanism of the impact of urbanization processes, especially the spatiotemporal pattern of impervious surfaces, on urban waterlogging. This research aims to elucidate the mechanism of urbanization’s impact on waterlogging by analysing the spatiotemporal characteristics and variance of urban waterlogging affected by urban impervious surfaces in a case study of Guangzhou in China. First, the study area was divided into runoff plots by means of the hydrologic analysis method, based on which the analysis of spatiotemporal variance was carried out. Then, due to the heterogeneity of urban impervious surface effects on waterlogging, a geographically weighted regression (GWR) model was utilized to assess the spatiotemporal variance of the impact of impervious surface expansion on urban rainstorm waterlogging during the period from the 1990s to the 2010s. The results reveal that urban rainstorm waterlogging significantly expanded in a dense and circular layer surrounding the city centre, similar to the impervious surface expansion affected by urbanization policies. Taking the urban runoff plot as the research unit, GWR has achieved a good modelling effect for urban storm waterlogging. The results show that the impervious surfaces in the runoff plots of the southeastern part of Yuexiu, the southern part of Tianhe and the western part of Haizhu, which have experienced major urban engineering construction, have the strongest correlation with urban rainstorm waterlogging. However, for different runoff plots, the impact of impervious surfaces on urban waterlogging is quite different, as there exist other influence factors in the various runoff plots, although the impervious surface is one of the main factors. This result means that urban renewal strategy to optimize the spatial pattern of impervious surfaces for urban rainstorm waterlogging prevention and control should be different for different runoff plots. The results of the GWR model analysis can provide useful information for urban renewal strategy-making.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zhao

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…In many urban areas, impervious surfaces are directly connected to streams via storm sewers and gutters to only exacerbate this diversion (Urbonas andDoerfer, 2005, Roy andShuster, 2009). Water flow via these direct connections substantially influences stream velocity before, during, and after peak runoff conditions (Kaushal and Belt, 2012).…”

Section: Impacts Of Urbanization On the Water Cyclementioning

confidence: 99%

Historical Flashiness Index Dynamics in Urbanizing Streams in Southwestern Ontario

Keir

2023

Preprint

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<p>Urban-growth increases impervious-surface cover and ‘flashy’ streamflow responses. Research has suggested that flashy streamflow occurs when total impervious area (TIA) approaches and crosses 10% of a watershed. This study examines the spatiotemporal variability in river flashiness of rural/urbanizing watersheds in southwestern Ontario. This research addresses relationships between river flashiness and watershed TIA across 37 watersheds as they approach and/or cross 10% TIA between 1990 and 2017. The Richards-Baker Flashiness Index (RBFI) were calculated using hydrometric-data for each watershed. Watershed TIA was estimated for the years 1990/2000/2010/2017 using land-use-data. Strength and direction of the RBFI-TIA relationship is compared to other watershed characteristics (area, soil type). Results show that spatial variability in RBFI is best explained by soil type rather than TIA. Mann-Kendall trend-analysis revealed 10/37 watersheds exhibited significantly increasing RBFI trends. Watersheds with larger increases in RBFI over the study period had lower urban-growth suggesting factors beyond TIA influencing </p> <p>watershed flashiness. </p>

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“…The land-use monitoring program appeared to be more successful than the beach-water-quality program or the industrial monitoring program. Urbonas and Doerfer (2005) advocated master planning for stream protection in urban watersheds. The paper suggested several general principles that can be used to deal with these emergent problems.…”

Section: Regulatory Policies and Financial Aspectsmentioning

confidence: 99%