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7 - Nature-based Solutions to Urban Microclimate Regulation

Published online by Cambridge University Press:  13 March 2020

By
Johanna Deak Sjöman  and
Erik Johansson
Edited by
Neil Sang
Neil Sang
Affiliation:
Swedish University of Agricultural Sciences
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Summary

Understanding the microclimate in a given site influences the preconditions of sustainable development in many ways. Cold and strong winds in the winter will, for example, intensify the energy use in buildings depending on the air tightness of the building enclosure (Bagge et al., 2011), and in areas close to the seafront strong salty winds may also increase the wear and tear on building materials. High wind speed during winter also affects outdoor recreation, and the likelihood of people walking or cycling to local commerce and social activities subsides if the area is subject to highly uncomfortable wind speed (Glaumann & Nord, 1993). Thermal comfort during winter time is thus integrated in how people will access and use facilities in their local communities. Wind turbulence and funnel effects between buildings and along streets also occurg to a greater extent in cities compared to rural settlements, although wind speed in general is stronger in the countryside (Oke, 1987), illustrating the importance of scale in modelling the urban environment. In Sweden, especially during winter time, strong winds help lower the air temperature by several degrees and thus contribute to uncomfortable physical conditions (Glaumann & Westerberg, 1988).

Type
Chapter
Information
Modelling Nature-based Solutions
Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning
 , pp. 247 - 275
Publisher: Cambridge University Press
Print publication year: 2020

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References

Akbari, H., Pomerantz, M. & Taha, H. 2001. Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas. Solar Energy, 70, 295–310.Google Scholar
Ali‐Toudert, F. 2005. Dependence of outdoor thermal comfort on street design. Berichte des Meteorologischen Institutes der Universität Freiburg, November No. 15. 2005 SRC – Google Scholar.Google Scholar
ANSYS. 2014. RE: FLUENT 6. Ansys, 2006. FLUENT 6‐3 Getting Started Guide. http://users.abo.fi/rzevenho/ansys%20fluent%2018%20tutorial%20guide.pdfGoogle Scholar
Armson, D., Striner, P. & Ennos, A. R. 2012. The effect of tree shade and grass on surface and globe temperatures in an urban area. Urban Forestry & Urban Greening, 11, 245–255.CrossRefGoogle Scholar
Bagge, J., Gaida, J. E., Danielson, P., Alfredson, H. & Forsgren, S. 2011. Physical activity level in Achilles tendinosis is associated with blood levels of pain‐related factors: a pilot study. Scandinavian Journal of Medicine & Science in Sports, 21, e430–e438.CrossRefGoogle ScholarPubMed
Borja, A., Bricker, S. B., Dauer, D. M., Demetriades, N. T., Ferreira, J. G., Forbes, A. T., et al. 2008. Overview of integrative tools and methods in assessing ecological integrity in estuarine and coastal systems worldwide. Marine Pollution Bulletin, 56, 1519–1537.Google Scholar
Bruse, M. 2009. RE: ENVI‐met 3.1 Online Manual. www.envi-met.info/documents/onlinehelpv3/helpindex.htmGoogle Scholar
Deak Sjöman, J., Hirons, A. & Sjöman, H. 2016. Branch area index of solitaire trees – understanding its significant in regulating ecosystem services. Journal of Environmental Quality, 45(1), 175–187.CrossRefGoogle Scholar
EEA. 2017. Climate change, impacts and vulnerability in Europe 2016. An indicator‐based report. No. 1/2017. Copenhagen: European Environment Agency.Google Scholar
Eliasson, I., Erell, E., Pearlmutter, D., Williamson, T. & Earthscan, I. 2011. Urban nocturnal temperatures, street geometry and land use. Atmospheric Environment, 30, 379–392.CrossRefGoogle Scholar
Elnabawi, M. H., Hamza, N. & Dudek, S. 2013. Use and evaluation of the ENVI‐met model for two different urban forms in Cairo, Egypt. Measurements and model simulations. Presented at the 13th Conference of the International Building Perfomance Simulation Association, Chambéry, France, 26–28 August 2013.Google Scholar
ENVI‐met. 2017. Microclimate Simulations with ENVI‐met Version 4. Essen: ENVI‐MET GmbH.Google Scholar
Erell, E., Pearlmutter, D. & Williamson, T. 2011. Urban Microclimate – Designing the Spaces between Buildings. London: EarthscanGoogle Scholar
European Commission. 2014. The European Union explained: climate action. Report. 16 pp. DOI:10.2775/83031Google Scholar
Fanger, P. O. 1970. Thermal Comfort: Analysis and Applications in Environmental Engineering. Copenhagen: Danish Technical Press.Google Scholar
Fröhlich, D. A. & Matzarakis, A. 2013. Modeling of changes in thermal bioclimate: examples based on urban spaces in Freiburg, Germany. Theoretical and Applied Climatology, 111, 547–558.Google Scholar
Gál, T., Lindberg, F. & Unger, J. 2009. Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate. Theoretical and Applied Climatology., 95, 111–123.CrossRefGoogle Scholar
Glaumann, M. & Nord, N. 1993. Uteklimat. Stad & Land, Vol. 133. Report from the Swedish University of Agricultural Sciences and Statens Institut för Byggnadsforskning.Google Scholar
Glaumann, M. & Westerberg, U. 1988. Klimatplanering Vind. Gävle: Statens institut för Byggnadsforskning.Google Scholar
Grahn, P., Unger, J. & Matzarakis, A. 2003. Landscape planning and stress. Urban Forestry and Urban Greening, 2, 1–18.CrossRefGoogle Scholar
Gulyás, Á., Unger, J. & Matzarakis, A. 2006. Assessment of the microclimatic and thermal comfort conditions in a complex urban environment: modelling and measurements. Building and Environment, 4, 1713–1722.Google Scholar
Honjo, T. 2009. Thermal comfort in outdoor environment. Global Environmental Research, 13, 43–47.Google Scholar
Höppe, P. J. 1999. The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment. International Journal of Biometeorology, 43(2), 71–75.Google Scholar
Huttner, S. & Bruse, M. 2009. Numerical modeling of the urban climate – a preview on ENVI-met 4.0. Presented at the 7th International Conference on Urban Climate ICUC-7, Yokohama, Japan.Google Scholar
Huttner, S., Bruse, M. & Dostal, P. 2008. Using ENVI‐met to simulate the impact of global warming on the microclimate in central European cities. In: Mayer, H. & Matzarakis, A. (eds.) Berichte des Meteorologischen Instituts der Albert‐Ludwigs‐Universität Freiburg Nr. 18 (2008): 5th Japanese‐German Meeting on Urban Climatology, pp. 307–312. Freiburg: Meteorologischen Institut.Google Scholar
Jendritzky, G., De Dear, R. & Havenith, G. 2012. UTCI – why another thermal index? International Journal of Biometeorology, 56, 421–428.Google Scholar
Johansson, E., Spangenberg, J., Gouvea, M. L. & Freitas, E. D. 2013 . Scale‐integrated atmospheric simulations to assess thermal comfort in different urban tissues in the warm humid summer of São Paulo, Brazil. Urban Climate, 6, 24–43.Google Scholar
Katzschner, L. 2011. Urban climate strategies against future heat stress conditions. In: Otto-Zimmermann, K. (ed.) Resilient Cities. Dordrecht: Springer.Google Scholar
Kronvall, G. A. & Johansson, E. 2011. Sommaren är längre i kvarteret Spårvägen! PLAN, 65, 33–36.Google Scholar
Lindberg, F. A. & Grimmond, C. S. B. 2011. The influence of vegetation and building morphology on shadow patterns and mean radiant temperatures in urban areas: model development and evaluation. Theoretical and Applied Climatology, 105, 311–323.Google Scholar
Lindberg, F., Grimmond, C. S. B., Gabey, A., Huang, B., Kent, C.W., Sun, T., et al. 2018. Urban Multi‐scale Environmental Predictor (UMEP) – an integrated tool for city‐based climate services. Environmental Modelling & Software, 99, 70–87.CrossRefGoogle Scholar
Lindberg, F., Holmer, B. & Thorsson, S. 2008. SOLWEIG 1.0 – modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings. International Journal of Biometeorology, 52, 697–713.Google Scholar
Lindberg, F., Onomura, S. & Grimmond, C. S. B. 2016. Influence of ground surface characteristics on the mean radiant temperature in urban areas. International Journal of Biometeorology, 60, 1439–1452.Google Scholar
Littlefair, P. 2001. Daylight, sunlight and solar gain in the urban environment. Solar Energy, 70, 177–185.Google Scholar
Lohmeyer, . 2014. OpenFOAM [Online]. www.lohmeyer.de/en/node/529Google Scholar
Matzarakis, A. 2009. Additional features of the RayMan model. Presented at the Seventh International Conference on Urban Climate, Yokohama, Japan, 29 June–3 July 2009.Google Scholar
Matzarakis, A. & Matuschek, O. 2011. Sky view factor as a parameter in applied climatology – rapid estimation by the SkyHelios model. Meteorologische Zeitschrift, 20, 39–45.Google Scholar
Matzarakis, A., Rutz, F. & Mayer, H. 2007. Modelling radiation fluxes in simple and complex environments – application of the RayMan model. International Journal of Biometeorology, 51, 323–334.CrossRefGoogle ScholarPubMed
Matzarakis, A., Rutz, F. & Mayer, H. 2010. Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. International Journal of Biometeorology, 54, 131–139.Google Scholar
Mayer, H. & Höppe, P. 1987. Thermal comfort of man in different urban environments. Theoretical and Applied Climatology, 38, 43–49.Google Scholar
Media, B. V., Konarska, J., Lindberg, F., Larsson, A., Thorsson, S. & Holmer, B. 2014. Transmissivity of solar radiation through crowns of single urban trees – application for outdoor thermal comfort modelling. Theoretical and Applied Climatology, 117, 363–376.Google Scholar
Ne’Eman, E. 1974. Visual aspects of sunlight in buildings. Lighting Research and Technology, 3, 159–164.Google Scholar
Nikoofard, N. & Fazli, H. 2011. Free‐energy barrier for electric‐field‐driven polymer entry into nanoscale channels. Physical Review E, 83(5 Pt 1), 050801.Google Scholar
Oke, A. F. 1987. Boundary Layer Climates. 2nd ed. London: Methuen.Google Scholar
Oke, T. R., Mills, G., Christen, A. & Voogt, J. A. 2017. Urban Climates. Cambridge: Cambridge University Press.Google Scholar
Ozkeresteci, I., Crewe, K., Brazel, A. J., Bruse, M. & South, D. 2003. Use and evaluation of the ENVI‐met model for environmental design and planning: and experiment on linear parks. Presented at the 21st International Cartographic Conference ICC, 10–16 August 2003.Google Scholar
Puliafito, S. E., Bochaca, F. R., Allende, D. G. & Fernandez, R. P. 2013. Green areas and microscale thermal comfort in arid environment. A case study in Mendoza, Argentina. Atmospheric and Climate Sciences, 3, 372–384.Google Scholar
Sawka, M., Millward, A. A., McKay, J. & Sarkovich, M. 2013. Growing summer energy conservation through residential tree planting. Landscape and Urban Planning, 113, 1–9.CrossRefGoogle Scholar
Thorsson, S., Lindberg, F., Eliasson, I. & Holmer, B. 2007. Different methods for estimating the mean radiant temperature in an outdoor urban setting. International Journal of Climatology, 27, 1983–1993.Google Scholar
Unger, J., Matzarakis, A., Hämmerle, M. & Gál, T. 2011. Comparison of models calculating the sky view factor used for urban climate investigations. Theoretical and Applied Climatology, 105, 521–527.Google Scholar
Urban Climate Group. 2013. SOLWEIG – a Climate Design Tool. User Manual for Version A. Gothenburg: Urban Climate Group, Department of Earth Sciences, University of Gothenburg.Google Scholar
Xiao, Z. & Wedd, A. G. 2002. A C‐terminal domain of the membrane copper pump Ctr1 exchanges copper(I) with the copper chaperone Atx1. Chemical Communications (Cambridge, England), 588–589.Google Scholar
Yahia, M. W. & Johansson, E. 2014. Landscape interventions in improving thermal comfort in the hot dry city of Damascus, Syria – the example of residential spaces with detached buildings. Landscape and Urban Planning, 125, 1–16.Google Scholar
Yahia, M. W., Johansson, E., Thorsson, S., Lindberg, F. & Rasmussen, M. I. 2018. Effect of urban design on microclimate and thermal comfort outdoors in warm‐humid Dar es Salaam, Tanzania. International Journal of Biometeorology, 62, 373–385.Google Scholar

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