Evaluation of Flood Runoff Reduction Effect of LID (Low Impact Development) based on the Decrease in CN: Case Studies from Gimcheon Pyeonghwa District, Korea

Sin, Jiye; Jun, Changhyun; Zhu, Ju Hua; Yoo, Chulsang

doi:10.1016/j.proeng.2014.02.169

Cited by 26 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Surface storage increased 292%–1,146% for Configuration 4 under the different simulated storms. The results indicate, similar to other studies, that the storage increase and reduction in runoff volumes provided by distributed BMPs may have a flood reduction capability and we review and discuss the results in more detail below (McMahon & Adeloye, ; Sin, Jun, Zhu, & Yoo, ; Liu, Chen, & Peng, 2014).…”

Section: Resultssupporting

confidence: 83%

Evaluation of distributed BMPs in an urban watershed—High resolution modeling for stormwater management

Fry

Maxwell²,

McCray³

et al. 2017

Hydrological Processes

View full text Add to dashboard Cite

The urban environment modifies the hydrologic cycle resulting in increased runoff rates, volumes, and peak flows. Green infrastructure, which uses best management practices (BMPs), is a natural system approach used to mitigate the impacts of urbanization onto stormwater runoff. Patterns of stormwater runoff from urban environments are complex, and it is unclear how efficiently green infrastructure will improve the urban water cycle. These challenges arise from issues of scale, the merits of BMPs depend on changes to small‐scale hydrologic processes aggregated up from the neighborhood to the urban watershed. Here, we use a hyper‐resolution (1 m), physically based hydrologic model of the urban hydrologic cycle with explicit inclusion of the built environment. This model represents the changes to hydrology at the BMP scale (~1 m) and represents each individual BMP explicitly to represent response over the urban watershed. Our study varies both the percentage of BMP emplacement and their spatial location for storm events of increasing intensity in an urban watershed. We develop a metric of effectiveness that indicates a nonlinear relationship that is seen between percent BMP emplacement and storm intensity. Results indicate that BMP effectiveness varies with spatial location and that type and emplacement within the urban watershed may be more important than overall percent.

show abstract

Section: Resultssupporting

confidence: 83%

Evaluation of distributed BMPs in an urban watershed—High resolution modeling for stormwater management

Fry

Maxwell²,

McCray³

et al. 2017

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…The third method is to increase rainwater infiltration into the soil or vegetation in urban areas to reduce surface runoff, which is always mentioned by relevant researchers in the study of urban waterlogging prevention and control around the world [17,[23][24][25][26][27]. LID (Low Impact Development) is the most commonly used method for increasing rainwater infiltration [28][29][30][31]. Cities with such functions for rainwater infiltration are called "sponge cities" in China [32].…”

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

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.

show abstract

“…The curve number method was utilized to quantify runoff, and the results were compared with those of an SWMM5.0 simulation. The curve number method was able to quantify the surface runoff reduction of the tested LID measures in a better way [13]. The study of flood mitigation using collection tanks and biological retention troughs included analysis with a spatial-temporal model.…”

Section: Application Of Modelsmentioning

confidence: 99%

Review of the influence of low-impact development practices on mitigation of flood and pollutants in urban areas

Hao¹,

Gao²,

Dong³

et al. 2019

Desalination and Water Treatment

View full text Add to dashboard Cite

Urbanization has a significant impact on the hydrological characteristics of developed areas as well as downstream regions. As a watershed is increasingly covered with impervious surfaces, it experiences decreased rainwater infiltration, increased runoff, and shortened concentration times, thereby affecting the natural cycle of urban water systems. Many natural flood control and storage mechanisms have been systematically destroyed by urban development, and water pollution has become an increasingly serious global concern. Low-impact development (LID) is an ecological rainwater runoff management method that has been identified as a promising approach to reduce runoff and improve water quality. Recent research and advances in LID are systematically introduced and reviewed in this paper, including popular models, the main LID design elements and facilities, and the mitigation that LID provides for both floods and pollutants in urban areas. Future research into LID will need to enlarge its scope to broader regions and networks, develop and refine suitable models, and explore ways to integrate LID into existing water management systems in urban areas.

show abstract

Evaluation of Flood Runoff Reduction Effect of LID (Low Impact Development) based on the Decrease in CN: Case Studies from Gimcheon Pyeonghwa District, Korea

Cited by 26 publications

References 11 publications

Evaluation of distributed BMPs in an urban watershed—High resolution modeling for stormwater management

Evaluation of distributed BMPs in an urban watershed—High resolution modeling for stormwater management

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

Review of the influence of low-impact development practices on mitigation of flood and pollutants in urban areas

Contact Info

Product

Resources

About