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Smart Stormwater Management in Urban Areas by Roofs Greening

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10406))

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Abstract

By 2050 the world population will grow to about 9 billion contributing to deep changes in urban areas structure. This would increase the effect of water deficiency and along with projected climate changes the impact of urban floodings, urban heat islands or drought. Smart cities could be key part of the solution contributing to improve the quality life of citizen in urban areas with the adoption of smart, intelligent technologies and infrastructure for energy, water, mobility, buildings, and government. The concept of smart water refers to the ability to provide and manage this primary resource in quantitative and qualitative terms in order to satisfy the future needs of population. The green roof (GR) is a technique belonging to the sectors of smart energy and smart water. It could provide several benefits: sound and thermal insulation of the buildings, mitigation of the urban heat island effects, reduction of air pollution, additionally, GR induces important hydraulic advantages acting as an effective tool for reducing flood risk in urban area with runoff reduction, attenuation and delay of the peak flow. In this paper, the retention capacity of two green roof test beds located in the campus of University of Salerno has been investigated. The analysis has referred to measures of runoff and rainfall conducted in 2017 during the months of February and March. The two roofs substantially differ in the composition of the water storage layer made up of expanded clay in GR1 and of commercial drainage panels in GR2. The retention capacity of the two test beds has been compared. The results confirm that both green roofs, although to a different extent, are effective for the reduction of total runoff volume of rainwater falling on their area.

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References

  1. United Nations. http://www.un.org/en/development/desa/news/population/world-urbanization-prospects-2014.html

  2. OECD: OECD Environmental Outlook to 2050. OECD Publishing (2012). doi:10.1787/9789264122246-en

  3. Eger, J.M.: Smart growth, smart cities, and the crisis at the pump a worldwide phenomenon. I-Ways 32(1), 47–53 (2009). doi:10.3233/IWA-2009-0164

    Google Scholar 

  4. Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., Williams, P.: Foundations for smarter cities. IBM J. Res. Dev. 54(4), 1–16 (2010). doi:10.1147/JRD.2010.2048257

    Article  Google Scholar 

  5. Caragliu, A., Del Bo, C., Nijkamp, P.: Smart cities in Europe. J. Urban Technol. 18(2), 65–82 (2011). doi:10.1080/10630732.2011.601117

    Article  Google Scholar 

  6. Zygiaris, S.: Smart City reference model: assisting planners to conceptualize the building of smart city innovation ecosystems. J. Knowl. Econ. 4(2), 217–231 (2013). doi:10.1007/s13132-012-0089-4

    Article  Google Scholar 

  7. Lombardi, P., Giordano, S., Farouh, H., Yousef, W.: Modelling the smart city performance. Innov. Eur. J. Soc. Sci. Res. 25(2), 137–149 (2012). doi:10.1080/13511610.2012.660325

    Article  Google Scholar 

  8. Lazaroiu, G.C., Roscia, M.: Definition methodology for the smart cities model. Energy 47(1), 326–332 (2012). doi:10.1016/j.energy.2012.09.028

    Article  Google Scholar 

  9. Marsal-Llacuna, M.L., Colomer-Llinas, J., Melendez-Frigola, J.: Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative. Technol. Forecast. Soc. Change 90, 611–622 (2014)

    Article  Google Scholar 

  10. Department for Business, Innovation and Skills: SMART CITIES: Background paper. London, UK (2013)

    Google Scholar 

  11. European Commission, Smart Cities and Communities: The European

    Google Scholar 

  12. Innovation Partnership on Smart Cities and Communities. http://ec.europa.eu/eip/smartcities/

  13. Guan, L.: Smart steps to a battery city. Gov. News 32(2), 24–27 (2012)

    Google Scholar 

  14. Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., Airaksinen, M.: What are the differences between sustainable and smart cities? Cities 60, 234–245 (2017). doi:10.1016/j.cities.2016.09.009

    Article  Google Scholar 

  15. Waterworld. http://www.waterworld.com/articles/print/volume-29/issue-12/water-utility-management/smart-water-a-key-building-block-of-the-smart-city-of-the-future.html

  16. Macháč, J., Louda, J., Dubová, L.: Green and blue infrastructure: an opportunity for smart cities? In: Smart Cities Symposium Prague (SCSP), pp 1–6. IEEE Press (2016). doi:10.1109/SCSP.2016.7501030

  17. Meng, T., Hsu, D., Wadzuk, B.: Green stormwater infrastructure use and perception on related smart services: the case of Pennsylvania. World Environmental and Water Resources Congress 2016 (2016)

    Google Scholar 

  18. Yang, H.S., Kang, J., Choi, M.S.: Acoustic effects of green roof systems on a low-profiled structure at street level. Build. Environ. 50, 44–55 (2012). doi:10.1016/j.buildenv.2011.10.004

    Article  Google Scholar 

  19. Niachou, A., Papakonstantinou, K., Santamouris, M., Tsangrassoulis, A., Mihalakakou, G.: Analysis of the green roof thermal properties and investigation of its energy performance. Ener. Build. 33(7), 719–729 (2001). doi:10.1016/S0378-7788(01)00062-7

    Article  Google Scholar 

  20. Susca, T., Gaffin, S.R., Dell’Osso, G.R.: Positive effects of vegetation: Urban heat island and green roofs. Environ. Pollut. 159(8), 2119–2126 (2011). doi:10.1016/j.envpol.2011.03.007

    Article  Google Scholar 

  21. Longobardi, A., Nazzareno, D., Mobilia, M.: Historical storminess and hydro-geological hazard temporal evolution in the solofrana river basin—southern Italy. Water 8(9), 398 (2016). doi:10.3390/w8090398

    Article  Google Scholar 

  22. Mobilia, M., Longobardi, A., Sartor, J.: Green roofs hydrological performance under different climate conditions. WSEAS Trans. Environ. Dev. 11, 264–271 (2015)

    Google Scholar 

  23. Mobilia, M., Longobardi, A., Joachim, F.S.: Including a-priori assessment of actual evapotranspiration for green roof daily scale hydrological modelling. Water 9(2), 72 (2017). doi:10.3390/w9020072

    Article  Google Scholar 

  24. Burszta-Adamiak, E.: Analysis of the retention capacity of green roofs. J. Water Land Dev. 16(1), 3–9 (2012). doi:10.2478/v10025-012-0018-8

    Article  Google Scholar 

  25. Trinh, D.H., Chui, T.F.M.: Assessing the hydrologic restoration of an urbanized area via an integrated distributed hydrological model. Hydrol. Earth Syst. Sci. 17, 4789–4801 (2013). doi:10.5194/hess-17-4789-2013

    Article  Google Scholar 

  26. CLIMATE-DATA.ORG. https://it.climate-data.org/location/14223/

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Author information

Authors and Affiliations

  1. University of Salerno, Fisciano, Italy

    Mirka Mobilia & Antonia Longobardi

Authors
  1. Mirka Mobilia
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  2. Antonia Longobardi
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Corresponding author

Correspondence to Mirka Mobilia .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Mobilia, M., Longobardi, A. (2017). Smart Stormwater Management in Urban Areas by Roofs Greening. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10406. Springer, Cham. https://doi.org/10.1007/978-3-319-62398-6_32

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  • DOI: https://doi.org/10.1007/978-3-319-62398-6_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62397-9

  • Online ISBN: 978-3-319-62398-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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