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12.04.2023
Climate Researchin Hamburg
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Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections
12.04.2023
Christian Daneke, Benjamin Bechtel, Jürgen Böhner, Thomas
Langkamp, Jürgen Oßenbrügge
Universität Hamburg
Introduction
Why do we need an UHI Landscape Metric?
Method
How does it work?
Calibration and Validation
How well does it work?
Conclusion
Applying the metric to Hamburg
Outlook
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Urban Surfaces have an impact on the local climate and by changing this influence changes as well
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Oßenbrügge & Bechtel (2010)
What is the problem and why do we need an UHI-Potential Landscape Metric?
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Landuse Dataset for Hamburg Metropolitan Region based on Classification Scheme
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Resolution 100 m
24 Classes in Total,
10 Urban Classes
Created for:
1960, 1990, 2005
Based on:
Aerial Photographs,
Topographic Maps,
Corine, ATKIS, 3D-
Building Data
Daneke (2011)
Several Criteria need to be considered for the calculation
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• Landuse• Morphology
• Neighborhood
• Patch Shape• Patch Size
• Location
The calculation of the metric in a nutshell
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• Based on a Habitat
Fragmentation Metric
proposed by Keppler
(1997)
• Including all requirements
needed for UHI potential
• Assume following
landuse with two classes
• Resistance
• Fraction
• For every cell the
surrounding is
investigated based on a
search radius and scores
calculated
• In this case resistance
• Green = 1000
• Red = 1
The calculation of the metric in a nutshell
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7001
4004
4004 2006 4004
3005 8 3005
4004 2006 4004
5003
𝐴′=∑𝑤 i𝑎0
The calculation of the metric in a nutshell
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47,21
35,70
35,70 25,27 35,70
30,93 1,60 30,93
35,70 25,27 35,70
39,91
• Based on scores an
equivalent radius is
calculate
• And the cells weighted
according to the distance
to the centroid
𝑟 ′=√ 𝐴′ /𝜋
𝑣=exp(− 𝑟 ′
𝑟 0)
The calculation of the metric in a nutshell
11 Christian Daneke 12.04.2023
3,15E-21
3,13E-16
3,13E-16 1,061E-11 3,13E-16
3,701E-14 0,2027525 3,701E-14
3,13E-16 1,061E-11 3,13E-16
4,666E-18
• Based on scores an
equivalent radius is
calculate
• And the cells weighted
according to the distance
to the centroid
𝑟 ′=√ 𝐴′ /𝜋
𝑣=exp(− 𝑟 ′
𝑟 0)
The calculation of the metric in a nutshell
12 Christian Daneke 12.04.2023
0,01
0,02
0,02 0,07 0,02
0,04 0,73 0,04
0,02 0,07 0,02
0,02
• Accounting for
• Compactness (V)
• Fraction (F)
• Final values calculated
by:
𝑠=∫0
∞
𝑣𝑓𝑑𝑟
𝐾𝑂𝑉=( 𝑠𝑟 0 )
𝑧
UHI Potential for 2005
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• Final calibration
• Parameters:
• Fraction of
Influence
• Resistance
• Search radius:
1,5 pixels
• Power Z: 0,8
Calibration was done based on Ellenberg Indicators as Temperature Proxies
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• Calibration /
Validation using
Ellenberg Indicators
as proxy data for
temperatures over a
long period
• On a 1 km Grid
• Plants sampled and
analysed if they
prefer „warm“ or
„cold“
Bechtel (2011)
Scatterplot of the modeled UHI Values and the Prox Dataset
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• Regression analysis
• R = 0,662
• R2 = 0,438
• Only cells which
have more than 25
% built up area
Urban Heat Island Potential
Pla
nt In
dica
tor
Tem
pera
ture
Val
ues
Standardized Residuals on the 1Km Fishnet
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• Mapping
standardized
residuals on the 1km
raster
• Relatively good fits
within the city
• Problems
• Water
• Outskirts
Standardized Residuals overlayed with Waterbodies
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• Mapping
standardized
residuals on the 1km
raster
• Relatively good fits
within the city
• Problems
• Water
• Outskirts
Calculating the changing potential from 1960 - 2005
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• Considering the Urban
Development from
1960 to 2005
• Removing smaller
Parks in 1960 to
simulate „Greening
Policy“
Conclusion and Outlook
• Proposed a Method to estimate UHI Potential from Landuse
Datasets
• Enables to investigate land use scenarios from models and study
possible implications for the urban climate
• First calibration on a 1km scale comparing to temperature proxy
data showed a solid fit
• Further validation of the method based on bus measurements at a
higher resolution
19 Christian Daneke 12.04.2023
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Dipl.-Geogr. Christian [email protected]
Thank You!
Institut für GeographieUniversität Hamburg
Bundesstraße 5520146 Hamburg
The Urban Heat Island in Hamburg, as presented during the last summer
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Wetterspiegel (2010)
Core Dense Multistory Perimeter Blocks
Large Blocks Terraced Housing Regular Housing
Morphological Classification Scheme for Landuse-Datasets needed in UHI related studies
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Daneke (2011)
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