2015
DOI: 10.15244/pjoes/29197
|View full text |Cite
|
Sign up to set email alerts
|

Influence of Applying Infiltration and Retention Objects to the Rainwater Runoff on a Plot and Catchment Scale – Case Study of Służewiecki Stream Subcatchment in Warsaw

Abstract: This article presents the results of an analysis aimed at determining the influence of applying selected types of objects for the infiltration and retention of rainwater (LID -low impact development objects), on a plot scale (area of a shopping mall) and in the subcatchment of Służewiecki Stream in Warsaw, on the characteristics of surface runoff/outflow as well as retention and infiltration depths, in response to a single rainfall event. The following types of objects were accounted for in the study: permeabl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
18
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 15 publications
(19 citation statements)
references
References 10 publications
1
18
0
Order By: Relevance
“…In the pervious area, there was no runoff at all for the first 7 to 12 minutes of the storm, as the depression storage and available infiltration capacity were sufficient to capture all rainfall volume during this period. The expected findings are supported by Kim et al (2015) and Barszcz (2015), where peak flow and total runoff volume after permeable pavement controlled are smaller than the values of the existing condition with AP, indicating that pervious pavement has infiltrated most of the runoff into groundwater. Overall, the runoff hydrograph for 15 min 100-yr storm was the largest.…”
Section: Hydrological Assessmentmentioning
confidence: 70%
See 1 more Smart Citation
“…In the pervious area, there was no runoff at all for the first 7 to 12 minutes of the storm, as the depression storage and available infiltration capacity were sufficient to capture all rainfall volume during this period. The expected findings are supported by Kim et al (2015) and Barszcz (2015), where peak flow and total runoff volume after permeable pavement controlled are smaller than the values of the existing condition with AP, indicating that pervious pavement has infiltrated most of the runoff into groundwater. Overall, the runoff hydrograph for 15 min 100-yr storm was the largest.…”
Section: Hydrological Assessmentmentioning
confidence: 70%
“…Permeable pavements have been widely used since 1982 in the USA and in the 1990s in Canada, Europe and Japan as a measure to control stormwater (Mosquera and Drake, 1998; Pratt, 1999; Dietz, 2007; O’Sullivan et al ., 2011). Permeable pavements have been extremely effective in infiltrating stormwater runoff (Watanabe, 1995; Fach and Geiger, 2005; Zhou and Li, 2008; Bastien et al ., 2011; Sañudo‐Fontaneda et al , 2013; Barszcz, 2015), significantly reducing runoff volume (Pratt et al ., 1989; Davey and Maziliauskas, 2003; Lin et al ., 2014; Timm et al ., 2018) and minimising peak flow (Price, 1994; Kim et al ., 2015; Imteaz et al ., 2018; Su et al ., 2019). Permeable pavements that commonly used are pervious concrete (PC), porous asphalt (PA) and permeable pavers.…”
Section: Introductionmentioning
confidence: 99%
“…An extensive description of the SWMM model can be found in the manual [47]. Numerous examples of its application for simulating flow in urbanized catchments can be found in the scientific publications of various authors [48][49][50][51][52].…”
Section: The Swmm Model For the Studied Areamentioning
confidence: 99%
“…Verification of the collecting pipe hydraulic capacity at stage III was made using numerical modeling in the Storm Water Management Model SWMM [43][44][45] program, which was created by the Water Supply and Water Resources Division of the U.S. Environmental Protection Agency's National Risk Management Research Laboratory as a result of work and research carried out in order to assess and reduce risks for human health and environment. SWMM now provides an integrated graphical environment for editing catchment input data and flow routing at single-event and long-term scales, together with first-order water quality simulation.…”
Section: Model Imentioning
confidence: 99%