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A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies

Emanuele Quaranta, Ciril Arkar, Cristina Branquinho, Elena Cristiano, Ricardo Cruz de Carvalho, Michal Dohnal, Ilaria Gnecco, Dominik Gossner, Vladimira Jelinkova, Carmelo Maucieri, et al.
(2024) URBAN FORESTRY & URBAN GREENING. 93.
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Abstract
Nature-based solutions (NBSs) and urban greening are well-established strategies used in various planning and policy instruments to promote the sustainability of cities and mitigate the effects of climate changes. Within this context, green roofs are emerging as an effective NBS in urban areas where space is often limited. The estimation of green roofs'benefits is essential for their effective implementation and engineering design. In this contribution, we present a daily time-step model to estimate the surface temperature, the growth of vegetation cover and the hydrological behaviour of a green roof. The model is tested using twenty time series of real and independent European green roofs. Results show that, in the absence of calibration, the model can reproduce the daily surface temperature with high accuracy. The vegetation growing period is also reproduced. The hydrological variables can be estimated with moderate accuracy, and higher accuracy can be achieved when the model is calibrated. Therefore, the model proves a useful tool to support the appraisal of green roofs and the planning of green infrastructures in European cities.
Keywords
Biomass model, Green roof, Hydrological model, Nature-based solutions, Temperature model, Urban greening, RUNOFF, GROWTH, COMPONENTS, BENEFITS, DEPTH

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MLA
Quaranta, Emanuele, et al. “A Daily Time-Step Hydrological-Energy-Biomass Model to Estimate Green Roof Performances across Europe to Support Planning and Policies.” URBAN FORESTRY & URBAN GREENING, vol. 93, 2024, doi:10.1016/j.ufug.2024.128211.
APA
Quaranta, E., Arkar, C., Branquinho, C., Cristiano, E., de Carvalho, R. C., Dohnal, M., … Pistocchi, A. (2024). A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies. URBAN FORESTRY & URBAN GREENING, 93. https://doi.org/10.1016/j.ufug.2024.128211
Chicago author-date
Quaranta, Emanuele, Ciril Arkar, Cristina Branquinho, Elena Cristiano, Ricardo Cruz de Carvalho, Michal Dohnal, Ilaria Gnecco, et al. 2024. “A Daily Time-Step Hydrological-Energy-Biomass Model to Estimate Green Roof Performances across Europe to Support Planning and Policies.” URBAN FORESTRY & URBAN GREENING 93. https://doi.org/10.1016/j.ufug.2024.128211.
Chicago author-date (all authors)
Quaranta, Emanuele, Ciril Arkar, Cristina Branquinho, Elena Cristiano, Ricardo Cruz de Carvalho, Michal Dohnal, Ilaria Gnecco, Dominik Gossner, Vladimira Jelinkova, Carmelo Maucieri, Milena Mohri, Panayiotis A. Nektarios, Nikolaos Ntoulas, Stefania Anna Palermo, Anna Palla, Patrizia Piro, Helena Cristina Serrano, Konstantinos X. Soulis, Michele Turco, Timothy Van Renterghem, Zulem Varela, Francesco Viola, Giampaolo Zanin, and Alberto Pistocchi. 2024. “A Daily Time-Step Hydrological-Energy-Biomass Model to Estimate Green Roof Performances across Europe to Support Planning and Policies.” URBAN FORESTRY & URBAN GREENING 93. doi:10.1016/j.ufug.2024.128211.
Vancouver
1.
Quaranta E, Arkar C, Branquinho C, Cristiano E, de Carvalho RC, Dohnal M, et al. A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies. URBAN FORESTRY & URBAN GREENING. 2024;93.
IEEE
[1]
E. Quaranta et al., “A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies,” URBAN FORESTRY & URBAN GREENING, vol. 93, 2024.
@article{01J8551M0A3ZZ6Y1QPPDXS8AX4,
  abstract     = {{Nature-based solutions (NBSs) and urban greening are well-established strategies used in various planning and policy instruments to promote the sustainability of cities and mitigate the effects of climate changes. Within this context, green roofs are emerging as an effective NBS in urban areas where space is often limited. The estimation of green roofs'benefits is essential for their effective implementation and engineering design. In this contribution, we present a daily time-step model to estimate the surface temperature, the growth of vegetation cover and the hydrological behaviour of a green roof. The model is tested using twenty time series of real and independent European green roofs. Results show that, in the absence of calibration, the model can reproduce the daily surface temperature with high accuracy. The vegetation growing period is also reproduced. The hydrological variables can be estimated with moderate accuracy, and higher accuracy can be achieved when the model is calibrated. Therefore, the model proves a useful tool to support the appraisal of green roofs and the planning of green infrastructures in European cities.}},
  articleno    = {{128211}},
  author       = {{Quaranta, Emanuele and  Arkar, Ciril and  Branquinho, Cristina and  Cristiano, Elena and  de Carvalho, Ricardo Cruz and  Dohnal, Michal and  Gnecco, Ilaria and  Gossner, Dominik and  Jelinkova, Vladimira and  Maucieri, Carmelo and  Mohri, Milena and  Nektarios, Panayiotis A. and  Ntoulas, Nikolaos and  Palermo, Stefania Anna and  Palla, Anna and  Piro, Patrizia and  Serrano, Helena Cristina and  Soulis, Konstantinos X. and  Turco, Michele and Van Renterghem, Timothy and  Varela, Zulem and  Viola, Francesco and  Zanin, Giampaolo and  Pistocchi, Alberto}},
  issn         = {{1618-8667}},
  journal      = {{URBAN FORESTRY & URBAN GREENING}},
  keywords     = {{Biomass model,Green roof,Hydrological model,Nature-based solutions,Temperature model,Urban greening,RUNOFF,GROWTH,COMPONENTS,BENEFITS,DEPTH}},
  language     = {{eng}},
  pages        = {{14}},
  title        = {{A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies}},
  url          = {{http://doi.org/10.1016/j.ufug.2024.128211}},
  volume       = {{93}},
  year         = {{2024}},
}
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