Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM

Camilla Tuomela; Daniel Jato-Espino; Nora Sillanpää; Harri Koivusalo

doi:10.1007/978-3-319-99867-1_17

Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM

Camilla Tuomela, Daniel Jato-Espino, Nora Sillanpää, Harri Koivusalo

Universidad de Cantabria

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Simple and automatic optimization approaches were used to create Low Impact Development (LID) scenarios for a residential catchment in Espoo, Finland. Ten LID scenarios were simulated with the Storm Water Management Model (SWMM) to evaluate their impact on urban runoff and pollutant load on a catchment scale. Permeable pavements and bioretention cells were located at the asphalted areas in the catchment. A large variability was observed in the simulated load reduction depending on the LID type, location and pollutant. Scenarios with permeable pavements reduced pollutants effectively, but require knowledge about the pollutant sources and pathways. Scenarios with bioretention cells benefitted the most from location optimization due to their smaller spatial footprint and storage capacity compared with permeable pavements.

Original language	English
Title of host publication	New Trends in Urban Drainage Modelling
Subtitle of host publication	UDM 2018
Editors	Giorgio Mannina
Publisher	Springer
Pages	96-101
ISBN (Electronic)	978-3-319-99867-1
ISBN (Print)	978-3-319-99866-4
DOIs	https://doi.org/10.1007/978-3-319-99867-1_17
Publication status	Published - 2019
MoE publication type	A4 Conference publication
Event	International Conference on Urban Drainage Modelling - Palermo, Italy Duration: 23 Sept 2018 → 26 Sept 2018 Conference number: 11

Publication series

Name	Green Energy and Technology
Publisher	Springer
ISSN (Print)	1865-3529
ISSN (Electronic)	1865-3537

Conference

Conference	International Conference on Urban Drainage Modelling
Abbreviated title	UDM
Country/Territory	Italy
City	Palermo
Period	23/09/2018 → 26/09/2018

Keywords

LID location
Optimization
Stormwater quality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-99867-1_17

Cite this

@inproceedings{95445f1f479942588ac2520696a43740,

title = "Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM",

abstract = "Simple and automatic optimization approaches were used to create Low Impact Development (LID) scenarios for a residential catchment in Espoo, Finland. Ten LID scenarios were simulated with the Storm Water Management Model (SWMM) to evaluate their impact on urban runoff and pollutant load on a catchment scale. Permeable pavements and bioretention cells were located at the asphalted areas in the catchment. A large variability was observed in the simulated load reduction depending on the LID type, location and pollutant. Scenarios with permeable pavements reduced pollutants effectively, but require knowledge about the pollutant sources and pathways. Scenarios with bioretention cells benefitted the most from location optimization due to their smaller spatial footprint and storage capacity compared with permeable pavements.",

keywords = "LID location, Optimization, Stormwater quality",

author = "Camilla Tuomela and Daniel Jato-Espino and Nora Sillanp{\"a}{\"a} and Harri Koivusalo",

year = "2019",

doi = "10.1007/978-3-319-99867-1_17",

language = "English",

isbn = "978-3-319-99866-4",

series = "Green Energy and Technology",

publisher = "Springer",

pages = "96--101",

editor = "Giorgio Mannina",

booktitle = "New Trends in Urban Drainage Modelling",

address = "Germany",

note = "International Conference on Urban Drainage Modelling, UDM ; Conference date: 23-09-2018 Through 26-09-2018",

}

Tuomela, C, Jato-Espino, D, Sillanpää, N & Koivusalo, H 2019, Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM. in G Mannina (ed.), New Trends in Urban Drainage Modelling: UDM 2018. Green Energy and Technology, Springer, pp. 96-101, International Conference on Urban Drainage Modelling, Palermo, Italy, 23/09/2018. https://doi.org/10.1007/978-3-319-99867-1_17

Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM. / Tuomela, Camilla; Jato-Espino, Daniel; Sillanpää, Nora et al.
New Trends in Urban Drainage Modelling: UDM 2018. ed. / Giorgio Mannina. Springer, 2019. p. 96-101 (Green Energy and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM

AU - Tuomela, Camilla

AU - Jato-Espino, Daniel

AU - Sillanpää, Nora

AU - Koivusalo, Harri

N1 - Conference code: 11

PY - 2019

Y1 - 2019

N2 - Simple and automatic optimization approaches were used to create Low Impact Development (LID) scenarios for a residential catchment in Espoo, Finland. Ten LID scenarios were simulated with the Storm Water Management Model (SWMM) to evaluate their impact on urban runoff and pollutant load on a catchment scale. Permeable pavements and bioretention cells were located at the asphalted areas in the catchment. A large variability was observed in the simulated load reduction depending on the LID type, location and pollutant. Scenarios with permeable pavements reduced pollutants effectively, but require knowledge about the pollutant sources and pathways. Scenarios with bioretention cells benefitted the most from location optimization due to their smaller spatial footprint and storage capacity compared with permeable pavements.

AB - Simple and automatic optimization approaches were used to create Low Impact Development (LID) scenarios for a residential catchment in Espoo, Finland. Ten LID scenarios were simulated with the Storm Water Management Model (SWMM) to evaluate their impact on urban runoff and pollutant load on a catchment scale. Permeable pavements and bioretention cells were located at the asphalted areas in the catchment. A large variability was observed in the simulated load reduction depending on the LID type, location and pollutant. Scenarios with permeable pavements reduced pollutants effectively, but require knowledge about the pollutant sources and pathways. Scenarios with bioretention cells benefitted the most from location optimization due to their smaller spatial footprint and storage capacity compared with permeable pavements.

KW - LID location

KW - Optimization

KW - Stormwater quality

U2 - 10.1007/978-3-319-99867-1_17

DO - 10.1007/978-3-319-99867-1_17

M3 - Conference article in proceedings

SN - 978-3-319-99866-4

T3 - Green Energy and Technology

SP - 96

EP - 101

BT - New Trends in Urban Drainage Modelling

A2 - Mannina, Giorgio

PB - Springer

T2 - International Conference on Urban Drainage Modelling

Y2 - 23 September 2018 through 26 September 2018

ER -

Modelling Stormwater Pollutant Reduction with LID Scenarios in SWMM

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this