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Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projectionsChristian Daneke, Benjamin Bechtel, Jürgen Böhner,Thomas Langkamp,Jürgen Oßenbrügge - University Hamburg
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Titelmasterformat durch Klicken bearbeiten 03.07.2022 Climate Research in Hamburg
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Page 1: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Titelmasterformat durch Klicken bearbeiten

12.04.2023

Climate Researchin Hamburg

Page 2: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Titelmasterformat durch Klicken bearbeiten

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

Page 3: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

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

3 Christian Daneke 12.04.2023

Page 4: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Urban Surfaces have an impact on the local climate and by changing this influence changes as well

4 Christian Daneke 12.04.2023

Oßenbrügge & Bechtel (2010)

Page 5: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

What is the problem and why do we need an UHI-Potential Landscape Metric?

5 Christian Daneke 12.04.2023

Page 6: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Landuse Dataset for Hamburg Metropolitan Region based on Classification Scheme

6 Christian Daneke 12.04.2023

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)

Page 7: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Several Criteria need to be considered for the calculation

7 Christian Daneke 12.04.2023

• Landuse• Morphology

• Neighborhood

• Patch Shape• Patch Size

• Location

Page 8: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

The calculation of the metric in a nutshell

8 Christian Daneke 12.04.2023

• 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

Page 9: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

• 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

9 Christian Daneke 12.04.2023

7001

4004

4004 2006 4004

3005 8 3005

4004 2006 4004

5003

𝐴′=∑𝑤 i𝑎0

Page 10: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

The calculation of the metric in a nutshell

10 Christian Daneke 12.04.2023

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)

Page 11: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

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)

Page 12: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

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

Page 13: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

UHI Potential for 2005

13 Christian Daneke 12.04.2023

• Final calibration

• Parameters:

• Fraction of

Influence

• Resistance

• Search radius:

1,5 pixels

• Power Z: 0,8

Page 14: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Calibration was done based on Ellenberg Indicators as Temperature Proxies

14 Christian Daneke 12.04.2023

• 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)

Page 15: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Scatterplot of the modeled UHI Values and the Prox Dataset

15 Christian Daneke 12.04.2023

• 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

Page 16: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Standardized Residuals on the 1Km Fishnet

16 Christian Daneke 12.04.2023

• Mapping

standardized

residuals on the 1km

raster

• Relatively good fits

within the city

• Problems

• Water

• Outskirts

Page 17: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Standardized Residuals overlayed with Waterbodies

17 Christian Daneke 12.04.2023

• Mapping

standardized

residuals on the 1km

raster

• Relatively good fits

within the city

• Problems

• Water

• Outskirts

Page 18: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Calculating the changing potential from 1960 - 2005

18 Christian Daneke 12.04.2023

• Considering the Urban

Development from

1960 to 2005

• Removing smaller

Parks in 1960 to

simulate „Greening

Policy“

Page 19: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

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

Page 20: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

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Dipl.-Geogr. Christian [email protected]

Thank You!

Institut für GeographieUniversität Hamburg

Bundesstraße 5520146 Hamburg

Page 21: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

The Urban Heat Island in Hamburg, as presented during the last summer

21 Christian Daneke 12.04.2023

Wetterspiegel (2010)

Page 22: Conceptual approach to measure the potential of Urban Heat Islands from Landuse datasets and Landuse projections

Core Dense Multistory Perimeter Blocks

Large Blocks Terraced Housing Regular Housing

Morphological Classification Scheme for Landuse-Datasets needed in UHI related studies

22 Christian Daneke 12.04.2023

Daneke (2011)


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