Have a personal or library account? Click to login
Modelling of rainwater reduction and hydrological performance of selected green infrastructure (GI) facilities in urban catchments Cover

Modelling of rainwater reduction and hydrological performance of selected green infrastructure (GI) facilities in urban catchments

Open Access
|Mar 2025

Figures & Tables

Figure 1.

Location of the measuring point in the study area with catchment for the existing outfall W1
Location of the measuring point in the study area with catchment for the existing outfall W1

Figure 2.

Results of detailed analyses of the study area using available databases: A — route of the drainage system; B — land use; C — elevation and directions of surface water runoff; D — subcatchment imperviousness
Results of detailed analyses of the study area using available databases: A — route of the drainage system; B — land use; C — elevation and directions of surface water runoff; D — subcatchment imperviousness

Figure 3.

Rainfall mass curve and hyetograph of 4.2 mm precipitation (a) and flow observed at outfall W1 (b) used for the calibration process
Rainfall mass curve and hyetograph of 4.2 mm precipitation (a) and flow observed at outfall W1 (b) used for the calibration process

Figure 4.

Illustration of the implementation of green infrastructure (BC) in the study area of an existing housing estate.
Illustration of the implementation of green infrastructure (BC) in the study area of an existing housing estate.

Figure 5.

Linear regression plot of R2 for a dataset of the measured rainwater flow (Qo) at outfall W1 and the simulated value (Qs) based on the SWMM
Linear regression plot of R2 for a dataset of the measured rainwater flow (Qo) at outfall W1 and the simulated value (Qs) based on the SWMM

Figure 6.

Flow observed at outfall W1 on August 26, 2023, along with the modelling results for the existing conditions, and for the scenario with the selected LID equipment implemented
Flow observed at outfall W1 on August 26, 2023, along with the modelling results for the existing conditions, and for the scenario with the selected LID equipment implemented

Figure 7.

Average reductions in the total volume and peak flow for scenarios S0–S7
Average reductions in the total volume and peak flow for scenarios S0–S7

Figure 8.

Percentage distribution of the rainwater volume and storage volume of LID facility as a function of rainfall depth
Percentage distribution of the rainwater volume and storage volume of LID facility as a function of rainfall depth

Figure 9.

Dependence of the total inflow per 1 m2 and reduction in rainwater for BC cells in the residential area under study for scenarios S0–S7
Dependence of the total inflow per 1 m2 and reduction in rainwater for BC cells in the residential area under study for scenarios S0–S7

Figure 10.

Maximum, minimum and average values of the rainwater inflow limit [L/m2] per 1 m2 of surface area of LID facilities for scenarios S0–S7 for which there was a 100% quantitative reduction of inflow
Maximum, minimum and average values of the rainwater inflow limit [L/m2] per 1 m2 of surface area of LID facilities for scenarios S0–S7 for which there was a 100% quantitative reduction of inflow

The basic measures of fitness coefficients for built SWMM model

IndicatorDescriptionFormulaObtained valueAssessmentLiterature
NSECNash-Sutcliffe Efficiency CoefficientCompare the results of model’s response and measurement data 1t=1TQotQst2t=1TQotQo¯2 1 - {{\mathop \sum \nolimits_{t = 1}^T {{\left( {Q_o^t - Q_s^t} \right)}^2}} \over {\mathop \sum \nolimits_{t = 1}^T {{\left( {Q_o^t - \overline {{Q_o}} } \right)}^2}}} 0.885-∞ - 1; very good[Titterington et al. 2017], [Moriasi et al. 2007], [Lin et al. 2017]
ISEIntegral Square ErrorThe accuracy of the matching between simulated and observed data t=1TQotQst2t=1TQot {{\sqrt {\mathop \sum \nolimits_{t = 1}^T {{\left( {Q_o^t - Q_s^t} \right)}^2}} } \over {\mathop \sum \nolimits_{t = 1}^T Q_o^t}} 0.020 – 3; excellent[Shamsi et al. 2017]
RMSERoot Mean Square ErrorDifferences between observed and simulated values t=1T(QotQst2T) \sqrt {\sum\limits_{t = 1}^T {({{{{\left( {Q_o^t - Q_s^t} \right)}^2}} \over T})} } 0.442; < 0.5*1.307less than half of the standard deviation; good[Singh et al. 2004], [Moriasi et al. 2007]

Spatial analyses based on the Database of Topographical Objects of the study area

Land useArea
ha%
Roofs1.1226.9
Roadways, pavement, alleys0.409.6
Single- and multi-family residential land2.1752.0
Biologically active areas0.4811.5
TOTAL4.17100.0

Summary of the LID parameters used in the calibrated SWMM model according to [Bond et al_ 2021]

LayerParameterUnitBio-retention cells (BC)
Surface layerBerm heightmm250
Vegetation volumeshare0.1
Surface roughness0.3
Surface slope%1
Swale Side Sloperun/rise
Soil layerThicknessmm600
Porosityshare vol.0.45
Field capacityshare vol.0.121
Wilting pointshare vol.0.057
Conductivitymm/hr91
Conductivity slope44
Suction headmm50
Storage layerThicknessmm400
Void ratiovoids/solids0.54
Seepage ratemm/hr2.6
Clogging factor0
DrainFlow coefficientmm/hr5.4*
Drain exponent0.5
Offset heightmm200

The simulation results of the calibrated model for the entire study area at the sewer outfall for scenarios S0–S7

Scenario S0Scenario S1Scenario S2Scenario S3Scenario S4Scenario S5Scenario S6Scenario S7
no LID
Max flow [LPS]4.6449.2464.0454.8393.1359.3349.9266.2
Total volume [m3]17539752916953100810721139
with LID
Max flow [LPS]0.017.531.631.725.222.622.117.6
Total volume [m3]02956111134167204246
reduction
Max flow [LPS]100%96%93%93%94%94%94%93%
Total volume [m3]100%95%93%88%86%83%81%78%

Summary of the simulation results of the calibrated SWMM for individual LID facilities implemented in the study area for scenarios S0–S7

ScenarioS0S1S2S3S4S5S6S7
Total Inflow (m3)37.9658.2987.11234.81304.71404.01512.81629.2
Surface and Drain Outflow (m3)0.032.7133.6273.6318.7385.4458.9538.8
Average inflow (L/m2)0.0080.1390.2080.2600.2750.2960.3190.344
Average outflow (L/m2)0.0000.0070.0280.0580.0670.0810.0970.114
Average reduction (%)10095867876737067

Analyzed scenarios

Scenario S0Scenario S1Scenario S2Scenario S3Scenario S4Scenario S5Scenario S6Scenario S7
Precipitation duration90 min (4.2 mm)15 min30 min45 min60 min90 min120 min180 min
Average rainfall intensity [LPS/ha]*7.8273.32175.33134.52105.3774.8159.5542.46
Total precipitation p = 10% [mm]4.224.6031.5636.3237.9340.4042.8845.86
Precipitation intensity p = 10% [mm/hr]2.8098.4063.1248.4337.9326.9321.4415.29

Values of the basic parameters for the land use groups in the study area obtained during the SWMM calibration process

DescriptionImperv [%]N ImpervN PervDstore Imperv [mm]Dstore PervZero Imperv [%]Width
minmax[mm]A [m]
Building roofs-BUBD87.470.0100.0453.693.6936.000.7
Other roadway-SKJZ0813.136.00.0150.3001.205.0840.000.3
Local roadway-SKJZ0634.649.50.0100.3001.205.0840.00
Alley-SKRP012.03.20.0110.2801.205.0840.00
Grass vegetation-PTTR011.02.50.1400.2805.087.6220.000.3
Orchard-PTUT031.12.880.2100.2805.087.6220.00
Single-family dwelling-PTZB022.04.020.1050.2805.087.6220.00

Summary of the results obtained for the considered precipitation scenarios S0–S7

No.ScenarioS0S1S2S3S4S5S6S7
share LID storage in rainfall volume
1ARainwater volume [m3]3652137274231563296351037253984
1BFinal LID storage [m3]4178897010241036105710811108
1Average share [%]11%37%35%32%31%30%29%28%
LID hydrological performance
2AAverage inflow [L/m2]0.0080.1390.2080.2600.2750.2960.3190.344
2BAverage outflow [L/m2]0.0000.0070.0280.0580.0670.0810.0970.114
2Average reduction [%]100%95%86%78%76%73%70%67%
average total inflow to LID with full reduction
3Fully reduced inflow [L/m2]0.765.792.302.853.133.283.464.25
total outfall volume reduction
4ATotal volume [m3]175397529169531,0081,0721139
4BReduced volume [m3]02956111134167204246
4Average reduction [%]100%95%93%88%86%83%81%78%
outfall peak flow reduction
5APeak flow [LPS]4.60449.16464.03454.78393.10359.34349.85266.20
5BReduced peak flow [LPS]0.0017.5131.6331.6625.1922.5722.0517.58
5Average reduction [%]100%96%93%93%94%94%94%93%
DOI: https://doi.org/10.2478/oszn-2025-0005 | Journal eISSN: 2353-8589 | Journal ISSN: 1230-7831
Language: English
Page range: 1 - 20
Published on: Mar 11, 2025
Published by: National Research Institute, Institute of Environmental Protection
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:

© 2025 Krzysztof Muszyński, published by National Research Institute, Institute of Environmental Protection
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.