Microclimatic field measurements to support microclimatological modelling with ENVI-met for an urban study area in Cologne
Nils Eingrüber
CORRESPONDING AUTHOR
University of Cologne, Institute of Geography, Hydrogeography and
climatology research group, 50923, Cologne, Germany
Wolfgang Korres
University of Cologne, Institute of Geography, Hydrogeography and
climatology research group, 50923, Cologne, Germany
Ludwig-Maximilians-University Munich, Department for Geography,
Geography and remote sensing research group, 80333, Munich, Germany
Karl Schneider
University of Cologne, Institute of Geography, Hydrogeography and
climatology research group, 50923, Cologne, Germany
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Climate change adaptation measures like unsealings can reduce urban heat stress. As grass grid pavers have never been parameterized for microclimate model simulations with ENVI-met, a new parameterization was developed based on field measurements. To analyse the cooling potential, scenario analyses were performed for a densely-developed area in Cologne. Statistically significant average cooling effects of up to -11.1 K were found for surface temperature, and up to -2.9 K for 1 m air temperature.
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Sensitivity analyses for wind direction effects upon an ENVI-met microclimate model were performed for a heterogeneous urban study area. Significant temperature differences were found when forcing the model with constant N/E/S/W wind direction data. Best model performance was observed using measured wind direction forcing data. The results demonstrate that cooling effects of park areas are largely directional which is important for urban planning and design of climate change adaptation measures.
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Climate change adaptation measures like unsealings can reduce urban heat stress. As grass grid pavers have never been parameterized for microclimate model simulations with ENVI-met, a new parameterization was developed based on field measurements. To analyse the cooling potential, scenario analyses were performed for a densely-developed area in Cologne. Statistically significant average cooling effects of up to -11.1 K were found for surface temperature, and up to -2.9 K for 1 m air temperature.
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Adv. Sci. Res., 20, 65–71, https://doi.org/10.5194/asr-20-65-2023, https://doi.org/10.5194/asr-20-65-2023, 2023
Short summary
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Sensitivity analyses for wind direction effects upon an ENVI-met microclimate model were performed for a heterogeneous urban study area. Significant temperature differences were found when forcing the model with constant N/E/S/W wind direction data. Best model performance was observed using measured wind direction forcing data. The results demonstrate that cooling effects of park areas are largely directional which is important for urban planning and design of climate change adaptation measures.
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Cited articles
Acero, J. A. and Arrizabalaga, J.: Evaluating the performance of ENVI-met
model in diurnal cycles for different meteorological conditions, Theor.
Appl. Climatol., 131, 455–469,
https://doi.org/10.1007/s00704-016-1971-y, 2018.
Ambrosini, D., Galli, G., Mancini, B., Nardi, I., and Sfarra, S.: Evaluating
mitigation effects of urban heat islands in a historical small center with
the ENVI-Met®climate model, Sustainability, 6, 7013–7029,
https://doi.org/10.3390/su6107013, 2014.
Bande, L., Afshari, A., Al Masri, D., Jha, M., Norford, L., Tsoupos, A., Marpu, P., Pasha, Y., and Armstrong, P.: Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on
Site Measurements, Sustainability, 11, 4378,
https://doi.org/10.3390/su11164378, 2019.
Crank, P. J., Sailor, D. J., Ban-Weiss, G., and Taleghani, M.: Evaluating
the ENVI-met microscale model for suitability in analysis of targeted urban
heat mitigation strategies, Urban Climate, 26, 188–197,
https://doi.org/10.1016/j.uclim.2018.09.002, 2018.
Declet-Barreto, J., Brazel, A. J., Martin, C. A., Chow, W. T., and Harlan,
S. L.: Creating the park cool island in an inner-city neighborhood: heat
mitigation strategy for Phoenix, AZ, Urban Ecosystems, 16, 617–635,
https://doi.org/10.1007/s11252-012-0278-8, 2013.
Ebrahimnejad, R., Noori, O., and Deihimfard, R.: Mitigation potential of
green structures on local urban microclimate using ENVI-met model,
International Journal of Urban Sustainable Development, 9, 274–285,
https://doi.org/10.1080/19463138.2017.1370424, 2017.
Emmanuel, R. and Loconsole, A.: Green infrastructure as an adaptation
approach to tackling urban overheating in the Glasgow Clyde Valley Region,
UK, Landscape Urban Plan., 138, 71–86,
https://doi.org/10.1016/j.landurbplan.2015.02.012, 2015.
ENVI-met: Modell für das Stadtklima, Berechnen Sie das Mikroklima einer
Stadt auf den Quadratmeter genau, https://www.envi-met.com/de/, last access:
28 February 2022.
Farhadi, H., Faizi, M., and Sanaieian, H.: Mitigating the urban heat island
in a residential area in Tehran: Investigating the role of vegetation,
materials, and orientation of buildings, Sustain. Cities Soc., 46,
101448, https://doi.org/10.1016/j.scs.2019.101448, 2019.
Gusson, C. S. and Duarte, D. H.: Effects of built density and urban
morphology on urban microclimate-calibration of the model ENVI-met V4 for
the subtropical Sao Paulo, Brazil, Procedia Engineer., 169, 2–10,
https://doi.org/10.1016/j.proeng.2016.10.001, 2016.
Herath, H. M. P. I. K., Halwatura, R. U., and Jayasinghe, G. Y.: Evaluation
of green infrastructure effects on tropical Sri Lankan urban context as an
urban heat island adaptation strategy, Urban For. Urban Gree.,
29, 212–222, https://doi.org/10.1016/j.ufug.2017.11.013, 2018a.
Herath, H. M. P. I. K., Halwatura, R. U., and Jayasinghe, G. Y.: Modeling a
tropical urban context with green walls and green roofs as an urban heat
island adaptation strategy, Procedia Engineer., 212, 691–698,
https://doi.org/10.1016/j.proeng.2018.01.089, 2018b.
Ketterer, C. and Matzarakis, A.: Human-biometeorological assessment of heat
stress reduction by replanning measures in Stuttgart, Germany, Landscape
Urban Plan., 122, 78–88,
https://doi.org/10.1016/j.landurbplan.2013.11.003, 2014.
Krüger, E. L., Minella, F. O., and Rasia, F.: Impact of urban geometry
on outdoor thermal comfort and air quality from field measurements in
Curitiba, Brazil, Building Environ., 46, 621–634,
https://doi.org/10.1016/j.buildenv.2010.09.006, 2011.
Lee, H., Mayer, H., and Chen, L.: Contribution of trees and grasslands to
the mitigation of human heat stress in a residential district of Freiburg,
Southwest Germany, Landscape Urban Plan., 148, 37–50,
https://doi.org/10.1016/j.landurbplan.2015.12.004, 2016.
Middel, A., Chhetri, N., and Quay, R.: Urban forestry and cool roofs:
Assessment of heat mitigation strategies in Phoenix residential
neighborhoods, Urban Forest. Urban Gree., 14, 178–186,
https://doi.org/10.1016/j.ufug.2014.09.010, 2015.
Müller, N., Kuttler, W., and Barlag, A. B.: Counteracting urban climate
change: adaptation measures and their effect on thermal comfort, Theor.
Appl. Climatol., 115, 243–257,
https://doi.org/10.1007/s00704-013-0890-4, 2014.
NETATMO: Smart Home Weather Station's technical specifications,
https://www.netatmo.com/en-gb/weather/weatherstation/specifications, last
access: 5 May 2022.
Oke, T. R.: Methods in urban climatology, Appl. Climatol., 14,
19–29, 1984.
Perini, K., Chokhachian, A., Dong, S., and Auer, T.: Modeling and simulating
urban outdoor comfort: Coupling ENVI-Met and TRNSYS by grasshopper,
Energ. Buildings, 152, 373–384, https://doi.org/10.1016/j.enbuild.2017.07.061,
2017.
Razzaghmanesh, M., Beecham, S., and Salemi, T.: The role of green roofs in
mitigating Urban Heat Island effects in the metropolitan area of Adelaide,
South Australia, Urban Forest. Urban Gree., 15, 89–102,
https://doi.org/10.1016/j.ufug.2015.11.013, 2016.
Rui, L., Buccolieri, R., Gao, Z., Gatto, E., and Ding, W.: Study of the
effect of green quantity and structure on thermal comfort and air quality in
an urban-like residential district by ENVI-met modelling, Building
Simul.-China, 12, 183–194, https://doi.org/10.1007/s12273-018-0498-9, 2019.
Salata, F., Golasi, I., de Lieto Vollaro, R., and de Lieto Vollaro, A.:
Urban microclimate and outdoor thermal comfort. A proper procedure to fit
ENVI-met simulation outputs to experimental data, Sustain. Cities
Soc., 26, 318–343, https://doi.org/10.1016/j.scs.2016.07.005, 2016.
Simon, H., Lindén, J., Hoffmann, D., Braun, P., Bruse, M., and Esper,
J.: Modeling transpiration and leaf temperature of urban trees–a case study
evaluating the microclimate model ENVI-met against measurement data,
Landscape Urban Plan., 174, 33–40,
https://doi.org/10.1016/j.landurbplan.2018.03.003, 2018.
Sodoudi, S., Zhang, H., Chi, X., Müller, F., and Li, H.: The influence
of spatial configuration of green areas on microclimate and thermal comfort,
Urban Forest. Urban Gree., 34, 85–96,
https://doi.org/10.1016/j.ufug.2018.06.002, 2018.
Stewart, I. D.: A systematic review and scientific critique of methodology
in modern urban heat island literature, Int. J.
Climatol., 31, 200–217, https://doi.org/10.1002/joc.2141, 2011.
Sun, S., Xu, X., Lao, Z., Liu, W., Li, Z., García, E. H., He, L., and Zhu, J.:
Evaluating the impact of urban green space and landscape design parameters
on thermal comfort in hot summer by numerical simulation, Build.
Environ., 123, 277–288, https://doi.org/10.1016/j.buildenv.2017.07.010,
2017.
Tsoka, S., Tsikaloudaki, A., and Theodosiou, T.: Analyzing the ENVI-met
microclimate model's performance and assessing cool materials and urban
vegetation applications–A review, Sustain. Cities Soc., 43,
55–76, https://doi.org/10.1016/j.scs.2018.08.009, 2018.
Wang, Y. and Akbari, H.: Analysis of urban heat island phenomenon and
mitigation solutions evaluation for Montreal, Sustain. Cities
Soc., 26, 438–446, https://doi.org/10.1016/j.scs.2016.04.015, 2016.
Wang, Y., Berardi, U., and Akbari, H.: Comparing the effects of urban heat
island mitigation strategies for Toronto, Canada, Energ. Buildings, 114,
2–19, https://doi.org/10.1016/j.enbuild.2015.06.046, 2016.
Yang, X., Zhao, L., Bruse, M., and Meng, Q.: Evaluation of a microclimate
model for predicting the thermal behavior of different ground surfaces,
Build. Environ., 60, 93–104,
https://doi.org/10.1016/j.buildenv.2012.11.008, 2013.
Yilmaz, S., Mutlu, E., and Yilmaz, H.: Alternative scenarios for ecological
urbanizations using ENVI-met model, Environ. Sci. Pollut.
Res., 25, 26307–26321, https://doi.org/10.1007/s11356-018-2590-1,
2018.
Yuan, J., Emura, K., and Farnham, C.: Is urban albedo or urban green
covering more effective for urban microclimate improvement?: A simulation
for Osaka, Sustain. Cities Soc., 32, 78–86,
https://doi.org/10.1016/j.scs.2017.03.021, 2017.
Zhao, Q., Sailor, D. J., and Wentz, E. A.: Impact of tree locations and
arrangements on outdoor microclimates and human thermal comfort in an urban
residential environment, Urban Forest. Urban Gree., 32, 81–91,
https://doi.org/10.1016/j.ufug.2018.03.022, 2018.
Ziaul, S. and Pal, S.: Modeling the effects of green alternative on heat
island mitigation of a meso level town, West Bengal, India, Adv.
Space Res., 65, 1789–1802, https://doi.org/10.1016/j.asr.2019.12.031,
2020.
Zölch, T., Maderspacher, J., Wamsler, C., and Pauleit, S.: Using green
infrastructure for urban climate-proofing: An evaluation of heat mitigation
measures at the micro-scale, Urban Forest. Urban Gree., 20,
305–316, https://doi.org/10.1016/j.ufug.2016.09.011, 2016.
Short summary
Cities are particularly affected by climate change. Adaptation strategies require data, models and scenario analyses. This paper characterizes the urban microclimate of a 16 ha study area in Cologne based on a network of 33 calibrated and validated sensors. Using statistical analyses, tests and pairwise comparisons, significant microclimatic differences were identified between a park, courtyard, avenue and narrow street. The data will be used in future to validate an ENVI-met microclimate model.
Cities are particularly affected by climate change. Adaptation strategies require data, models...