Impact of alternative land cover descriptions on urban hydrological model simulations

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Impact of alternative land cover descriptions on urban hydrological model simulations. / Kokkonen, Teemu; Warsta, Lassi; Niemi, Tero J.; Taka, Maija; Sillanpää, Nora; Pusa, Mikko; Kesäniemi, Outi; Salo, Heidi; Koivusalo, Harri.

In: Urban Water Journal, Vol. 16, No. 2, 07.02.2019, p. 103-113.

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Kokkonen, Teemu ; Warsta, Lassi ; Niemi, Tero J. ; Taka, Maija ; Sillanpää, Nora ; Pusa, Mikko ; Kesäniemi, Outi ; Salo, Heidi ; Koivusalo, Harri. / Impact of alternative land cover descriptions on urban hydrological model simulations. In: Urban Water Journal. 2019 ; Vol. 16, No. 2. pp. 103-113.

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@article{086bde712e1a45f6bf5a21742bff1c5d,
title = "Impact of alternative land cover descriptions on urban hydrological model simulations",
abstract = "Availability of remotely sensed and openly available land cover datasets is rapidly improving. This opens promising possibilities for utilizing such data in urban hydrological assessments. However, it remains unknown how the performance of readily available land cover data compares with manually collated information when used to construct detailed model parameterizations required in urban hydrological models. In this study, model runs with alternative land cover data are conducted for three small study areas with varying urban densities in Helsinki, Finland. The study demonstrates how different spatial data sources with varying resolutions produce different urban runoff simulation results. The results suggest that an openly available detailed land cover description can perform equally well with a laboriously collated manual land cover description. However, mixed land cover types of the pan-European Urban Atlas dataset are problematic in describing directly connected impervious areas, which leads to poor modelling results in low density urban areas.",
keywords = "land cover, stormwater, SWMM",
author = "Teemu Kokkonen and Lassi Warsta and Niemi, {Tero J.} and Maija Taka and Nora Sillanp{\"a}{\"a} and Mikko Pusa and Outi Kes{\"a}niemi and Heidi Salo and Harri Koivusalo",
year = "2019",
month = "2",
day = "7",
doi = "10.1080/1573062X.2019.1634742",
language = "English",
volume = "16",
pages = "103--113",
journal = "Urban Water Journal",
issn = "1573-062X",
number = "2",

}

RIS - Download

TY - JOUR

T1 - Impact of alternative land cover descriptions on urban hydrological model simulations

AU - Kokkonen, Teemu

AU - Warsta, Lassi

AU - Niemi, Tero J.

AU - Taka, Maija

AU - Sillanpää, Nora

AU - Pusa, Mikko

AU - Kesäniemi, Outi

AU - Salo, Heidi

AU - Koivusalo, Harri

PY - 2019/2/7

Y1 - 2019/2/7

N2 - Availability of remotely sensed and openly available land cover datasets is rapidly improving. This opens promising possibilities for utilizing such data in urban hydrological assessments. However, it remains unknown how the performance of readily available land cover data compares with manually collated information when used to construct detailed model parameterizations required in urban hydrological models. In this study, model runs with alternative land cover data are conducted for three small study areas with varying urban densities in Helsinki, Finland. The study demonstrates how different spatial data sources with varying resolutions produce different urban runoff simulation results. The results suggest that an openly available detailed land cover description can perform equally well with a laboriously collated manual land cover description. However, mixed land cover types of the pan-European Urban Atlas dataset are problematic in describing directly connected impervious areas, which leads to poor modelling results in low density urban areas.

AB - Availability of remotely sensed and openly available land cover datasets is rapidly improving. This opens promising possibilities for utilizing such data in urban hydrological assessments. However, it remains unknown how the performance of readily available land cover data compares with manually collated information when used to construct detailed model parameterizations required in urban hydrological models. In this study, model runs with alternative land cover data are conducted for three small study areas with varying urban densities in Helsinki, Finland. The study demonstrates how different spatial data sources with varying resolutions produce different urban runoff simulation results. The results suggest that an openly available detailed land cover description can perform equally well with a laboriously collated manual land cover description. However, mixed land cover types of the pan-European Urban Atlas dataset are problematic in describing directly connected impervious areas, which leads to poor modelling results in low density urban areas.

KW - land cover

KW - stormwater

KW - SWMM

UR - http://www.scopus.com/inward/record.url?scp=85068574578&partnerID=8YFLogxK

U2 - 10.1080/1573062X.2019.1634742

DO - 10.1080/1573062X.2019.1634742

M3 - Article

AN - SCOPUS:85068574578

VL - 16

SP - 103

EP - 113

JO - Urban Water Journal

JF - Urban Water Journal

SN - 1573-062X

IS - 2

ER -

ID: 35761800