An evaluation of the stormwater runoff reduction of two distinct tree species to support urban greening as nature-based solutions

Trees, as a vital element of urban greening, have been increasingly recognized for their hydrologic contributions to stormwater management. However, the representation of tree canopy hydrological processes is often simplified or overlooked in existing stormwater models. This study modelled and evaluated the stormwater runoff reduction potential of birch ( Betula pendula ) and pine ( Pinus nigra ) trees in three scenarios (i.e., birch, pine, and mixed planting) on a storm event basis using the updated Storm Water Management Model (SWMM) tree canopy module. The model effectively represents the rainfall interception process of both tree species during different phenoseasons, demonstrating strong correlations between simulated and observed throughfall ( r = 0.97–0.99) and interception values ( r = 0.72) across all storm events. The results indicate that implementing urban trees in the study area led to an average reduction of 20–25 % in runoff volume and 16–25 % in peak flow, depending on the scenarios and phenoseasons. The most significant runoff reduction benefits were observed in a mixed-species planting scenario and during the leafed season. This interplay between species highlights the advantages of mixed-species plantings in urban environments, where diverse tree characteristics can enhance hydrological performance. However, the effectiveness of trees is limited during intense, high-volume storm events, although they still provide tangible benefits of up to 13.2 % reduction. The relative contribution of canopy interception to runoff reduction is most pronounced during the leafed season, small to moderate storm events, and when trees are situated over directly connected impervious areas. Infiltration and storage beneath tree canopies are the dominant mechanism for managing and reducing surface runoff, accounting for over 20 % of the water balance. This study demonstrates that the stormwater reduction efficiency of urban trees depends on both above- and below-canopy processes and conditions. • Urban trees can mitigate stormwater, but the degree of reduction is still unclear. • Representation of tree canopy hydrological processes in models remains inadequate. • Throughfall + stemflow and interception are well captured by SWMM canopy module. • Birch and pine trees can reduce runoff volume by 20–25 % and peak flow by 16–25 %. • Mixed-species planting and leafed season provide greater runoff reduction benefits.

Authors

Institutions

Publication Details

Journal
Urban forestry & urban greening
Published
2025-03-31
DOI
https://doi.org/10.1016/j.ufug.2025.128792
Citations
5
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
4.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An evaluation of the stormwater runoff reduction of two distinct tree species to support urban greening as nature-based solutions

Matej Radinja, Nejc Bezak, Mark Bryan Alivio, Mojca Šraj
5 citations
Urban forestry & urban greening
Urban Stormwater Management Solutions
4.00
article

An evaluation of the stormwater runoff reduction of two distinct tree species to support urban greening as nature-based solutions

Matej Radinja, Nejc Bezak, Mark Bryan Alivio, Mojca Šraj
article en
5 citations

Abstract

Trees, as a vital element of urban greening, have been increasingly recognized for their hydrologic contributions to stormwater management. However, the representation of tree canopy hydrological processes is often simplified or overlooked in existing stormwater models. This study modelled and evaluated the stormwater runoff reduction potential of birch ( Betula pendula ) and pine ( Pinus nigra ) trees in three scenarios (i.e., birch, pine, and mixed planting) on a storm event basis using the updated Storm Water Management Model (SWMM) tree canopy module. The model effectively represents the rainfall interception process of both tree species during different phenoseasons, demonstrating strong correlations between simulated and observed throughfall ( r = 0.97–0.99) and interception values ( r = 0.72) across all storm events. The results indicate that implementing urban trees in the study area led to an average reduction of 20–25 % in runoff volume and 16–25 % in peak flow, depending on the scenarios and phenoseasons. The most significant runoff reduction benefits were observed in a mixed-species planting scenario and during the leafed season. This interplay between species highlights the advantages of mixed-species plantings in urban environments, where diverse tree characteristics can enhance hydrological performance. However, the effectiveness of trees is limited during intense, high-volume storm events, although they still provide tangible benefits of up to 13.2 % reduction. The relative contribution of canopy interception to runoff reduction is most pronounced during the leafed season, small to moderate storm events, and when trees are situated over directly connected impervious areas. Infiltration and storage beneath tree canopies are the dominant mechanism for managing and reducing surface runoff, accounting for over 20 % of the water balance. This study demonstrates that the stormwater reduction efficiency of urban trees depends on both above- and below-canopy processes and conditions. • Urban trees can mitigate stormwater, but the degree of reduction is still unclear. • Representation of tree canopy hydrological processes in models remains inadequate. • Throughfall + stemflow and interception are well captured by SWMM canopy module. • Birch and pine trees can reduce runoff volume by 20–25 % and peak flow by 16–25 %. • Mixed-species planting and leafed season provide greater runoff reduction benefits.

Urban forestry & urban greeningVol. 107
University of Ljubljana (SI), Geodetic Institute of Slovenia (SI)
Sustainable cities and communities
Openalex Percentile: Top 7%
Urban Stormwater Management Solutions
4.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.