Changes in the landscape by urbanization have lead to drastic climate modifications, which ranks among the most significant human impacts on the environment. Most remarkable is that cities are exposed to higher air temperatures than those in the natural surroundings. This phenomenon - known as the urban heat island - causes serious health risks for many people in the city. Especially in large cities, mortality rates are higher during heat waves, such as that of the European summer of 2003. It is expected from global climate change that cities are more often exposed to extreme weather, including the increased number of strong heat waves.
Sensitivity experiments with the regional climate model CCLM coupled to a new efficient urban land-surface parametrization TERRA-URB over Belgium have led to an overall better understanding of the climatic drivers of the urban heat island and their seasonal dependency at the regional scales. It turns out that both urban structure and energy waste into the atmosphere by human activity, but also their interaction determine the seasonal variability of the urban heat island intensity. Remarkably, the averaged contribution of urban structure to the nocturnal urban heat island for the cities in and around Belgium (+0.41 K for Brussels) is smaller than that from the energy waste (+1.24 K) during winter. Conversely, the contribution of urban structure (+1.97 K) dominates that of the energy waste (+0.68 K) during summer. The respective contributions mostly counteract each other during summer (-0.21 K), whereas they enhance each other during winter (+0.25 K).
The above-mentioned findings allow to take wiser decisions for keeping the climate in cities comfortable within the context of climate change and urban expansion. Hereby, it is recommended to account for both the impact of urban structure, energy waste, their interactions and their seasonal dependency on urban climate. Hereby, the respective influences on the urban thermal comfort both in the positive as in the negative sense needs to be considered. It is expected that putting in place policies in terms of urban modifications โ that are needed to temper climate change on the global scale - will influence the climate in cities on the local scale as well.
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The seasonal dependency of the urban heat island of cities in Belgium with CCLM/TU
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The seasonal dependency of the
urban heat island of cities in
Belgium with CCLM/TU
Hendrik Wouters, Matthias Demuzere, Koen De Ridder, Nicole van Lipzig
Meteoclim 2014
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Urban expansion!
figure from Poelmans and Van Rompaey., 2009
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Urban expansion!
figure from Poelmans and Van Rompaey., 2009
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Large modifications in the Earthโs landscape
ยป Drastic local climate changesโฆ. Higher local temperatures!
-> Urban heat island
ยป Two processes:
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Large modifications in the Earthโs landscape
ยป Drastic local climate changesโฆ. Higher local temperatures!
-> Urban heat island
ยป Two processes:
1 2
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ยฒ
Trapped infrared radiation
sensible heat
stored
efficiently
by building
materials
atmosphere
sensible heat
atmosphere
Stored in ground
Very hot surface!!
Trapped solar radiation
Dry surface: no evaporation
Efficiรซnt conversion
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Excess
release
during the
night
Large heat
Storage
In buildings
atmosphere
Stored in ground
Hot Surface is cooling
sensible heat
atmosphere 1
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ยป 1. Which of the processes and contribute the
most to the urban heat-island of cities in and around
Belgium?
ยป 2. Is there a seasonal dependency?
Research questions
21
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Why do we care?
ยป To know which policies are important to keep cities livable, sustainable,
and resilient as much as possible!
livable
smart
cities
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How?
ยป We adapt the regional climate model CCLM to take account for
ยป by including the processes and
ยป Applicable for both summer as for winter
ยป as efficiรซnt as possible (cfr. Computational cost, needed input
parameters)
21
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Regional climate model? 2 components.
Landoppervlakmodel
Atmospheric model
Sensible heat,
Evapo(transpi)ration,
Upward radiation
Drag on the wind
Temperature,
Precipitation,
Wind,
Downward radiation
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Regional climate model? 2 components.
Land-surface model
Atmospheric model
Wouters et al., (2012). Comprehensive parametrization of surface-layer transfer
coefficients for use in atmospheric numeric models. Boundary-layer Meteorology
Wouters et al., The impact of impervious water-storage parametrization
on urban climate modelling. Urban Climate (under revision)
21
Sensible heat,
Evapo(transpi)ration,
Upward radiation
Drag on the wind
Temperature,
Precipitation,
Wind,
Downward radiation
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Model configuration
Global weather forecasts from ECMWF
resolution:12.5 km
Regional climate model CCLM
resolution: 2.8 km
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Measurements urban heat island
ยป Antwerp
Antwerp
โArenโt we a
bunch of
modelers?โ
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Urban heat island of Antwerp
ยป Mid-summer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
Uur van de dag
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Urban heat island of Antwerp
Uur van de dag
21
ยป Mid-summer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
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Urban heat island of Antwerp
ยป Mid-summer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
Uur van de dag
21
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Urban heat island of Antwerp
ยป Mid-summer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
Uur van de dag
21
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Effect of heat emission in the city?
ยป Mid-summer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
Uur van de dag
21
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Effect of heat emission in the city?
ยป Mid-zomer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
Uur van de dag
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Effect heat emission in the city?
ยป Mid-zomer
21/07/2012 -> 21/08/2012
ยป Mid-winter
21/01/2013 -> 21/02/2013
Uur van de dag
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Conclusions
ยป Both , as well as their determine the urban heat-
island intensity of cities in Belgium, and their respective contributions
strongly depend on the season
ยป Both positive as negative influences on the urban thermal comfort needs
to be accounted for with regard to:
ยป Tempering urban heat during heat waves, versus cold waves
ยป Climate change (e.g. , โฆ)
ยป (urban) land-use change
21 21
OP รฉรฉn of andere manier willen we toch weten wat ons te wachten staat in de toekomst.
The urban heat island makes cities more vulnerable to the expected growing number of seere heat waves for the future
Het hoofddoel van dit doctoraat is om een Europees computermodel, dat in staat is om het weer en klimaat te simuleren, aan te passen om de voornoemde fysische landkarateristieken van steden in rekening te brengen. Dit Europees model liet eigenlijk al toe om bijvoorbeeld temperatuur en neerslag voor de toekomst voor een bepaald geselecteerd gebied nauwkeuriger in kaart te brengen dan globale klimaatsmodellen. Echter kon dit het stedelijk hitte-eiland niet correct reproduceren.
Zoals ik daarnet heb uitgelegd zijn er twee brontermen de verantwoordelijk zijn voor de temperatuursstijging in steden, nl. stedelijke opbouw versus warmteverlies.
Als toepassing van het aangepast model, zal ik nagaan welke van de twee brontermen het meest bijdragen tot het huidige stedelijk hitte-eiland voor de Belgische steden. En dit zal ik doen zowel voor de zomer in 2012 als in de daaropvolgende winter.
De verworven inzichten zullen toelaten om verstandigere beslissingen te kunnen nemen om het klimaat in steden zo comfortabel mogelijk te houden, dit in het kader van klimaatsveranderingen en stedelijke uitbreiding.
Bigger anthropogenic heat, smaller radiation/energy/conversion/storage effects of buildings