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

Instituto de Física de Cantabria (CSIC-Universidad de Cantabria)

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	New Trends in Urban Drainage Modelling
Alaotsikko	UDM 2018
Toimittajat	Giorgio Mannina
Kustantaja	Springer
Sivut	96-101
ISBN (elektroninen)	978-3-319-99867-1
ISBN (painettu)	978-3-319-99866-4
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-319-99867-1_17
Tila	Julkaistu - 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Urban Drainage Modelling - Palermo, Italia Kesto: 23 syysk. 2018 → 26 syysk. 2018 Konferenssinumero: 11

Julkaisusarja

Nimi	Green Energy and Technology
Kustantaja	Springer
ISSN (painettu)	1865-3529
ISSN (elektroninen)	1865-3537

Conference

Conference	International Conference on Urban Drainage Modelling
Lyhennettä	UDM
Maa/Alue	Italia
Kaupunki	Palermo
Ajanjakso	23/09/2018 → 26/09/2018

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

Pääsy asiakirjaan

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

Siteeraa tätä

@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. julkaisussa G Mannina (Toimittaja), New Trends in Urban Drainage Modelling: UDM 2018. Green Energy and Technology, Springer, Sivut 96-101, International Conference on Urban Drainage Modelling, Palermo, Italia, 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. toim. / Giorgio Mannina. Springer, 2019. s. 96-101 (Green Energy and Technology).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

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

Abstrakti

Julkaisusarja

Conference

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Sormenjälki

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