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Climate change is generally recognized as one of the main challenges of the 21st century [1]. It is significantly influencing the urban tissue, through temperature rises, abundant precipitation, strong winds and ever more frequent natural hazards, while being influenced by these factors in return. Its projection to amplify existing climate related risks [2], more acute in an urban environment, mandates immediate attention. Therefore, be it the conservation of historical heritage or regeneration of an urban area or new insertions within the tissue or the city’s expansion, every intervention should contribute to the ecological, social, economic and cultural balance, as well as to the adaptation of the human settlements to the future climate conditions, thus enhancing their resilience [3, 4]. Among climate factors, high temperatures in urban areas are most often associated with heat-related stress and deaths [5] caused by current weather patterns. Many experts and decision makers already consider extreme hot weather a significant risk for cities worldwide. Increased urban development and the urban heat island (UHI) effect will exacerbate the frequency, magnitude and impact of hot weather events. The demographic changes, specifically the aging population, ensures the aggravated, direct impact on human health. The urban heat island, defined as the temperature difference between the urban and suburban areas and the rural areas from their vicinity, represents an active and ever-present component of the concept of urban resilience, decisive in the thermal discomfort, caused by exterior temperatures. It varies spatially and temporally, requiring complex analysis. The current study aims at providing a state of the art review analysing both research literature and environmental strategies and reduction programs on a global perspective. United States set the State of the Art projects in this domain, by the US Environmental Protection Agency (EPA), through the Heat Island Reduction Program. In the EU, UHI are only part of two environmental strategies: Green Infrastructure (GI) — Enhancing Europe’s Natural Capital and EU Strategy on adaptation to climate change. Concerning the academia, the most developed stage of research includes studies from the scale of physical and chemical properties of materials [6,7], up to the analysis of metropolitan areas or the major urban structures and their integration in the general bioclimatic context [8-11]. In Romania, these studies only include punctual approaches [12, 13]. According to recent studies [5] the risk of heat related mortality increases in the context of climate change, continued urban development and an aging population and is expected to double in the coming years should we stagger in addressing its causes. The UHI result from the overlapping of the urban process and climate changes. A mono-directional analysis of the phenomenon was found to be thus insufficient, since the correlation of available information and data is absolutely necessary. There are in fact different domains that influence the phenomenon, both directly and indirectly, thus justifying a multidisciplinary approach. In accordance to this situation, there are a number of measures regarding the reduction of air temperatures, implementable at a macro-territorial, global or local level. A complex analysis of the research state of the art is of the utmost importance. Based on it, new intervention strategies can be developed while the research’s results are useful to both universities and local authorities, as they could be the base of fundamental studies for all initiated planning documents.
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1
URBAN HEAT ISLAND - STATE OF THE ART REVIEW
Branea Ana-Maria, Danciu Mihai Ionut, Keller Alexandra Iasmina, Bădescu Ștefana, Găman
Marius Stelian, Pașcu Gabriela
Politehnica University of Timisoara, Faculty of Architecture and Urban Planning, Traian Lalescu str, nr. 2/A,
300223, Timisoara, Romania
ana-maria.branea@upt.ro, mihai.danciu@student.upt.ro, alexandra.keller@upt.ro,
stefana.badescu@student.upt.ro, marius.gaman@upt.ro, gabriela.pascu@upt.ro
Abstract
Climate change is generally recognized as one of the main challenges of the 21st century [1]. It is
significantly influencing the urban tissue, through temperature rises, abundant precipitation, strong winds
and ever more frequent natural hazards, while being influenced by these factors in return. Its projection to
amplify existing climate related risks [2], more acute in an urban environment, mandates immediate
attention.
Therefore, be it the conservation of historical heritage or regeneration of an urban area or new insertions
within the tissue or the city’s expansion, every intervention should contribute to the ecological, social,
economic and cultural balance, as well as to the adaptation of the human settlements to the future climate
conditions, thus enhancing their resilience [3, 4].
Among climate factors, high temperatures in urban areas are most often associated with heat-related stress
and deaths [5] caused by current weather patterns. Many experts and decision makers already consider
extreme hot weather a significant risk for cities worldwide. Increased urban development and the urban
heat island (UHI) effect will exacerbate the frequency, magnitude and impact of hot weather events. The
demographic changes, specifically the aging population, ensures the aggravated, direct impact on human
health. The urban heat island, defined as the temperature difference between the urban and suburban
areas and the rural areas from their vicinity, represents an active and ever-present component of the
concept of urban resilience, decisive in the thermal discomfort, caused by exterior temperatures. It varies
spatially and temporally, requiring complex analysis.
The current study aims at providing a state of the art review analysing both research literature and
environmental strategies and reduction programs on a global perspective. United States set the State of the
Art projects in this domain, by the US Environmental Protection Agency (EPA), through the Heat Island
Reduction Program. In the EU, UHI are only part of two environmental strategies: Green Infrastructure (GI)
Enhancing Europe’s Natural Capital and EU Strategy on adaptation to climate change. Concerning the
academia, the most developed stage of research includes studies from the scale of physical and chemical
properties of materials [6,7], up to the analysis of metropolitan areas or the major urban structures and
their integration in the general bioclimatic context [8-11]. In Romania, these studies only include punctual
approaches [12, 13]. According to recent studies [5] the risk of heat related mortality increases in the
context of climate change, continued urban development and an aging population and is expected to
double in the coming years should we stagger in addressing its causes.
The UHI result from the overlapping of the urban process and climate changes. A mono-directional analysis
of the phenomenon was found to be thus insufficient, since the correlation of available information and
data is absolutely necessary. There are in fact different domains that influence the phenomenon, both
directly and indirectly, thus justifying a multidisciplinary approach. In accordance to this situation, there are
a number of measures regarding the reduction of air temperatures, implementable at a macro-territorial,
global or local level.
A complex analysis of the research state of the art is of the utmost importance. Based on it, new
intervention strategies can be developed while the research’s results are useful to both universities and
local authorities, as they could be the base of fundamental studies for all initiated planning documents.
Keywords: Climate change, urban heat island, environmental strategies, reduction programs, Romania
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Main Text
1 INTRODUCTION
Cities, as well as buildings, are developed taking past and present climatic conditions into consideration. But
climate change and all its implications, temperature growth and precipitation pattern change, have a
significant effect on the wellbeing of the inhabitants and the microclimate of the cities. According to Peter
Brimblecombe [14], is is not enough to just analyse the current state of the regional climate and
microclimate of the city. One must be aware of the changes and take future predictions into consideration
in order to fully understand the implications on urban areas and develop well-adjusted strategies.
According to recent studies [5] the risk of heat related mortality increases in the context of climate change,
continued urban development and an aging population and is expected to double in the coming years
should we stagger in addressing its causes.
2 URBAN HEAT ISLANDS
The academic literature on urban heat islands was review in order to identify how various studies are
defining the phenomenon of heat islands, how the theoretical view in the field developed in time and which
the main causes of heat island appearance are. The most influential published paper on the topic of urban
heat islands is “City size and the urban heat island” published in 1973, by Timothy Richard Oke [15] and
cited 621 times, according to the Scopus database. The paper is the first one that presents the connection
between the intensity of UHI and the urban structure. The definition of UHI and their intensity presented in
the paper (“difference between background rural and highest urban temperatures”), is a definition that is
used in most of the recent reviewed papers, even today, with a slight change of used terms (Table 1).
Table 1. Recent definitions of UHI
Year
Author
Definition
2015
Paulina W., Poh-Chin L., Melissa H.
[16]
„This impact on local climate in an urban city, in particular with
reference to the increase in outdoor temperature”
2015
Sismanidis P., Keramitsoglou I.,
Kiranoudis C.T. [17]
„Relative warmth of the dense urban areas with respect to their
suburban/rural surroundings”
2016
Hsieh C.M., Huang H.C. [18]
„A phenomenon in which the temperature in a city is higher than
the temperature in the neighboring rural areas”
2016
Chen A., Zhao X., Yao L., Chen L. [19]
„that more urbanized areas have a higher air temperature than
their surrounding suburban areas
2016
Gülten A., Aksoy U.T., Öztop H.F. [20]
„The heat island effect is defined as higher air temperatures in the
urban area than in the rural area in the same region”
2016
Wang Y., Akbari H. [21]
„a phenomenon whereby a metropolis is usually significantly
warmer than its rural surroundings”
2016
Lanza K., Stone B. [22]
„the phenomenon through which cities are warmer than nearby
rural areas”
2016
Aflaki A., Mirnezhad M.,
Ghaffarianhoseini A.,
Ghaffarianhoseini A., Omrany H.,
Wang Z.H., Akbari H. [23]
„’heat island’ generally describes the urbanized areas with higher
temperatures compared to their neighboring non-urbanized
areas”
2016
Buchin O., Hoelscher M.T., Meier F.,
Nehls T., Ziegler F. [24]
„The urban heat island (UHI) effect is a localized anthropogenic
climate modification in the canopy layer of the urban atmosphere
where almost all daily human activities take place”
Over 3700 published papers in the field were identified in the Web of Science Database, starting with 1989
until 2016. Most of them were written in the field of Meteorology, 26% of the identified papers,
Environmental sciences (19%) and Engineering (11%). They are followed with papers written in the field of
building technology, energy, geology, photographic technology and physical geography. Although all the
studies are related to urban structures only 5% of all the written papers were published in urban studies
related journals, which brings this topic only on the 10th place of the list (Fig 1.).
3
Figure 1. Percentage of written papers about UHI in different research areas
A clear rise of the interest of researchers concerning the topic of Urban heat islands was observed after
analysing the number of articles written every year since 1990 (Fig. 2). Moreover, higher interest in this
topic was noticed in countries with a high urbanisation degree, USA and China, where this effect is far more
present (Fig. 3). Even in Romania, this topic is of great interest, 33 papers being written since 2009.
Figure 2. Number of written papers about UHI
4
Figure 3. The distribution off written papers about UHI at a global level
The causes and the effects of UHI are analysed from different points of view according to the topic of the
research. Papers in the field of environmental sciences assess the relationship between the appearance of
UHI and meteorological factors, environmental problems, topography, landscape features, anthropogenic
heat sources and urban canyons and extensive urban developments [25,26]. According to the studies, this
combination of factors favours the appearance of UHI [27-29].
Engineering journals and building technology studies connect the appearance of UHI with various used
building materials, their capacity to absorb and release solar radiation and their reflective properties [30,
31].
Remote sensing, geology and photographic technology related studies and closely related. Remote sensing
and photographic technology research papers evaluate the appearance of UHI in relation to land cover and
global climatic parameters and atmospheric conditions which are evaluated mainly using satellite sensors
[32]. UHI are identified by evaluating the air temperature, surface energy, carbon cycles and soil moisture
for different areas and comparing them with earlier measured parameters [33-35]. Studies in this area are
highly statistical. Studies in the area of geology, interpret the obtained satellite data and develop HUI and
micro-UHI maps [36-37].
Energy related studies evaluate the impact of urban heat island on the interior microclimate of buildings
and present various methods in order to reduce these effects. Studies in this field are rather related to the
prediction and mitigation of the UHI effect on the interior microclimate than to the analysis of the
appearance of UHI [38-41].
Physical geography studies are closely linked with those in the urban research area. Physical geography
related papers evaluate the impact of the spread on urban areas and of landscape related parameters on
the appearance of UHI [42, 43]. Urban studies related papers on the other hand associate the appearance
of UHI with the typology of streets, colour and materials of urban surfaces and urban green areas [44-46].
The main purpose of urban studies is to identify what urban structures are most likely to favour the
appearance of UHI and the develop and evaluate various UHI mitigation strategies [47, 48].
Table 2 presents some of the most complex descriptions of the causes that lead to the appearance of UHI.
While analyzed causes are different according to the research direction of every topic, some similarities and
a slight overlap between the descriptions can be observed.
Table 2. Recent definitions of UHI
Author
Research area
Analysed causes of UHI
Ward, K., Lauf, S.,
Environmental
„UHI is induced by a combination of factors, including street canyon
5
Kleinschmit, B.,
Endlicher, W. [26]
sciences
geometry, the amount of artificial surfaces with increased emissivity, and
also anthropogenic heat production”
Li, X., Li, W.,
Middel, A., Harlan,
S. L., Brazel, A. J.,
Turner, B. L. [35]
Remote sensing/
Photographic
technology
„ land architecture of neighborhoods [...] affect LST and the SUHI, and that
this architecture is critical to neighborhood LST. [...] development or
rearrangement in the composition and configuration of the land-cover of
neighborhoods, including at the parcel level, can be used to ameliorate the
UHI effect.”
Sailor, D. J. [31]
Engineering/
Building
technology
„urban heat island (UHI) phenomenon is a result of a number of factors
including the prevalence of thermally massive and low reflectivity surfaces,
the general lack of surface moisture, and waste heat emissions from
energy-consuming activities”
Akbari, H., &
Kolokotsa, D [39]
Energy
„increased absorption of solar radiation, the corresponding increase of
sensible heat released by urban structures, higher anthropogenic heat,
reduced urban vegetation, and higher emission of infrared radiation
Aniello, C., Morgan,
K., Busbey, A., &
Newland, L. [36]
Geology
„[..] micro-urban heat islands are resulting from the lack of tree cover
related to newly developed residential neighborhoods, parking lots,
business districts, apartment complexes, and shopping centers. All micro-
urban heat islands were radiative in nature [...].”
Ma, Q., Wu, J., &
He, C. [43]
Physical
Geography
„Urban expansion plays a dominant role in the urban heat island (UHI)
formation and is thus the essence and fundamental characteristic of the
urban fabric”
Sismanidis, P.,
Keramitsoglou, I.,
Kiranoudis, C. T.
[17]
Urban studies
„the rapid expansion of the urban areas and the subsequent conversion of
pervious surfaces [...] alongside (1) the decrease in evapotranspiration; (2)
the reduction in turbulent heat transport due to the geometry of the street
canyons; (3) the anthropogenic heat fluxes; and (4) the air pollution, causes
the urban heat island”
3 MITIGATION OF URBAN HEAT ISLANDS
From all the reviewed published papers concerning UHI, 87 papers were identified as being written about
UHI mitigation strategies. Out of these papers, only 4% are in regard to the urban studies field; this
illustrates a profound lack of information regarding the issue of UHI mitigation strategies from the point of
view of urban planning, while at the same time justifies the research efforts in this field (Fig. 4).
Figure 4. Percentage of written papers about mitigation strategies of UHI in different research areas
The number of papers regarding mitigation strategies of UHI was higher during 2009 or 2012 (Fig. 5), when
heavy heat waves were also recorded and produced many victims; this illustrates a rather reactive attitude
towards the issue of UHI. In order to better understand and prevent the severe effects of this phenomenon,
the scientific community must adopt a proactive approach and invest more time and effort in the research
process.
6
Figure 5. Number of written papers about mitigation strategies of UHI
In accordance to the Arup report [49], the UHI are influenced by three main categories of factors, which
form a „triple risk index”; its contents are described in Table 3.
Table 3. „Triple risk index” regarding the UHI, adapted from Arup report [49]
CATEGORY OF
FACTORS
Location
Characteristics of
building
Characteristics of
people
The Arup Report [49] further establishes four main approaches to addressing the UHI, further presented in
Table 4.
Table 4. The four main approaches to address the UHI, adapted from the Arup Report [49].
APPROACHES TO ADDRESS
UHI
EXPLANATIONS (what the approaches cover)
Physical
This approach should involve an alteration of the existing situation, such as an
intervention or improvement to the urban environment, or a particular
neighbourhood or building”.
Social
This approach should be based on creating policies and examples of good practice,
7
referring to „awareness raising, communication and behaviour change”.
Strategic - before a hot
weather event
This approach needs to be conceived as a long term strategy, based on „larger
investments of time and resources with less immediate results”.
Operational - during a hot
weather event
This approach should involve „shorter term reactive efforts with more immediate
results”.
In order to properly respond to the issue of UHI, it is of utmost importance to first properly understand the
factors that influence this subject, as well as the possible approaches towards addressing the UHI.
Also, we must take into consideration the fact that no matter how proper the operational interventions are,
they are not effective unless they are conceived as part of a larger strategy. Finally, one should not ignore
the fact that all the physical measures should be in accordance with the social realities, responding to all the
needs of the community [49].
4 CONCLUSION
The review of state of the art papers regarding the issue of UHI reveals the fact that not only is this
phenomenon of great importance within the urban environment, but also that this matter will become
even more problematic in the context of present-day realities, namely:
- Climate changes, a phenomenon which already affects a number of countries and is projected to
amplify in future years;
- Urban densification, which favour an increase in temperature and thus the formation of UHI;
- Demographic changes, such as urbanisation, ageing population and under 5s.
It is therefore essential for the scientific community and practitioners alike to fully understand both the
factors that influence the formation of UHI, as well as the possible responses and approaches regarding this
issue.
These approaches fall into four categories - physical, social, strategic and operational. Of course, many of
our actions are difficult to categorize and are interchangeable, but all of these should be conceived,
according to the Arup Report [49] in regard to four different spatial scales: city scale, neighbourhood scale,
building / block scale and community / individual scale.
REFERENCES [Calibri, 12-point, bold, left alignment]
[1] De Wilde, P., Coley, D. . The implications of a changing climate for buildings. Building and Environment, 2012, 55:
1-7.
[2] Edenhofer, O., R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P.
Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel and J.C. Minx. Summary for
Policymakers Climate Change 2014, Mitigation of Climate Change. IPCC 2014, Climate Change 2014: Contribution
of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 2014.
[3] de Santoli, L. Guidelines on energy efficiency of cultural heritage. Energy and Buildings, 2015, 86: 534-540.
[4] Meerow, S., Newell, J. P., Stults, M. Defining urban resilience: A review. Landscape and Urban Planning, 2016,
147: 38-49.
[5] Hajat, S., Vardoulakis, S., Heaviside, C., Eggen, B. Climate change effects on human health: projections of
temperature-related mortality for the UK during the 2020s, 2050s and 2080s.Journal of epidemiology and
community health, 2014.
[6] Yuan, J., Emura, K., Sakai, H., Farnham, C., & Lu, S. Optical analysis of glass bead retro-reflective materials for
8
urban heat island mitigation. Solar Energy, 2016, 132: 203-213.
[7] Kakoniti, A., Georgiou, G., Marakkos, K., Kumar, P., Neophytou, M. K. A. The role of materials selection in the
urban heat island effect in dry mid-latitude climates. Environmental Fluid Mechanics, 2016, 16.2: 347-371.
[8] Hien, W. N. Urban heat island research: Challenges and potential. Frontiers of Architectural Research, 2016, 5.2:
276-278.
[9] Hatchett, B. J., Koračin, D., Mejía, J. F., Boyle, D. P. Assimilating urban heat island effects into climate
projections. Journal of Arid Environments, 2016, 128: 59-64.
[10] Kakoniti, A., Georgiou, G., Marakkos, K., Kumar, P., Neophytou, M. K. A. The role of materials selection in the
urban heat island effect in dry mid-latitude climates. Environmental Fluid Mechanics, 2016, 16.2: 347-371.
[11] Sachindra, D. A., Ng, A. W. M., Muthukumaran, S., & Perera, B. J. C. Impact of climate change on urban heat
island effect and extreme temperatures: a case‐study. Quarterly Journal of the Royal Meteorological Society,
2016, 142.694: 172-186.
[12] Cheval, S., & Dumitrescu, A. The summer surface urban heat island of Bucharest (Romania) retrieved from
MODIS images. Theoretical and Applied Climatology, 2015, 121.3-4: 631-640.
[13] Imbroane, A., Croitoru, A. E., Rus, I., Herbel, I., & Petrea, D. Urban Heat Island detection by integrating satellite
image data and gis techniques. case study: Cluj-Napoca city, Romania. 14th SGEM GeoConference on
Informatics, Geoinformatics and Remote Sensing, 2014, 3. SGEM2014 Conference Proceedings 3: 359-366
[14] Brimblecombe, P. Refining climate change threats to heritage. Journal of the Institute of Conservation, 2014,
37.2: 85-93.
[15] Oke, T. R. City size and the urban heat island. Atmospheric Environment (1967), 1973, 7.8: 769-779.
[16] Paulina, W., Poh-Chin, L., Melissa, H. Temporal Statistical Analysis of Urban Heat Islands at the Microclimate
Level. Procedia Environmental Sciences, 2015, 26: 91-94.
[17] Sismanidis, P., Keramitsoglou, I., Kiranoudis, C. T. A satellite-based system for continuous monitoring of Surface
Urban Heat Islands. Urban Climate, 2015, 14: 141-153.
[18] Hsieh, C. M., Huang, H. C. Mitigating urban heat islands: A method to identify potential wind corridor for cooling
and ventilation. Computers, Environment and Urban Systems, 2016, 57: 130-143.
[19] Chen, A., Zhao, X., Yao, L., Chen, L. Application of a new integrated landscape index to predict potential urban
heat islands. Ecological Indicators, 2016, 69: 828-835.
[20] Gülten, A., Aksoy, U. T., Öztop, H. F. Influence of trees on heat island potential in an urban canyon. Sustainable
Cities and Society, 2016.
[21] Wang, Y., Akbari, H. Analysis of urban heat island phenomenon and mitigation solutions evaluation for
Montreal. Sustainable Cities and Society, 2016.
[22] Lanza, K., Stone, B. Climate adaptation in cities: What trees are suitable for urban heat management?.
Landscape and Urban Planning, 2016, 153: 74-82.
[23] Aflaki, A., Mirnezhad, M., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Omrany, H., Wang, Z. H., Akbari, H. Urban
heat island mitigation strategies: A state-of-the-art review on Kuala Lumpur, Singapore and Hong Kong. Cities,
2016.
[24] Buchin, O., Hoelscher, M. T., Meier, F., Nehls, T., Ziegler, F. Evaluation of the health-risk reduction potential of
countermeasures to urban heat islands. Energy and Buildings, 2016, 114: 27-37.
9
[25] Du, H., Wang, D., Wang, Y., Zhao, X., Qin, F., Jiang, H., Cai, Y. Influences of land cover types, meteorological
conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban
Agglomeration. Science of The Total Environment, 2016, 571: 461-470.
[26] Ward, K., Lauf, S., Kleinschmit, B., Endlicher, W. Heat waves and urban heat islands in Europe: A review of
relevant drivers. Science of The Total Environment, 2016, 569: 527-539.
[27] Rizwan, A. M., Dennis, L. Y., Chunho, L. I. U. A review on the generation, determination and mitigation of Urban
Heat Island. Journal of Environmental Sciences, 2008, 20.1: 120-128.
[28] Hsieh, C. M., Huang, H. C. Mitigating urban heat islands: A method to identify potential wind corridor for cooling
and ventilation. Computers, Environment and Urban Systems, 2016, 57: 130-143.
[29] Chen, A., Zhao, X., Yao, L., Chen, L. Application of a new integrated landscape index to predict potential urban
heat islands. Ecological Indicators, 2016, 69: 828-835.
[30] Rosso, F., Pisello, A. L., Pignatta, G., Castaldo, V. L., Piselli, C., Cotana, F., Ferrero, M. Outdoor thermal and visual
perception of natural cool materials for roof and urban paving. Procedia Engineering, 2015, 118: 1325-1332.
[31] Sailor, D. J. (2014). Risks of summertime extreme thermal conditions in buildings as a result of climate change
and exacerbation of urban heat islands. Building and Environment, 2014, 78: 81-88.
[32] Fu, P., Weng, Q. Consistent land surface temperature data generation from irregularly spaced Landsat imagery.
Remote Sensing of Environment, 2016, 184: 175-187.
[33] Windahl, E., de Beurs, K. An intercomparison of Landsat land surface temperature retrieval methods under
variable atmospheric conditions using in situ skin temperature. International Journal of Applied Earth
Observation and Geoinformation, 2016, 51: 11-27.
[34] Taheri Shahraiyni, H., Sodoudi, S., El-Zafarany, A., Abou El Seoud, T., Ashraf, H., Krone, K. A Comprehensive
Statistical Study on Daytime Surface Urban Heat Island during Summer in Urban Areas, Case Study: Cairo and Its
New Towns. Remote Sensing, 2016, 8.8: 643.
[35] Li, X., Li, W., Middel, A., Harlan, S. L., Brazel, A. J., Turner, B. L. Remote sensing of the surface urban heat island
and land architecture in Phoenix, Arizona: Combined effects of land composition and configuration and
cadastraldemographiceconomic factors. Remote Sensing of Environment, 2016, 174: 233-243.
[36] Aniello, C., Morgan, K., Busbey, A., Newland, L. Mapping micro-urban heat islands using Landsat TM and a GIS.
Computers & Geosciences, 1995, 21.8: 965-969.
[37] Wang, W., Zhou, W., Ng, E. Y. Y., Xu, Y. Urban heat islands in Hong Kong: statistical modeling and trend
detection. Natural Hazards, 1-23.
[38] Huang, Y. Y., Chen, C. T., Tsai, Y. C. Reduction of temperatures and temperature fluctuations by hydroponic
green roofs in a subtropical urban climate. Energy and Buildings, 2016, 129: 174-185.
[39] Akbari, H., Kolokotsa, D. Three decades of urban heat islands and mitigation technologies research. Energy and
Buildings, 2016.
[40] Mathew, A., Sreekumar, S., Khandelwal, S., Kaul, N., Kumar, R. Prediction of surface temperatures for the
assessment of urban heat island effect over Ahmedabad city using linear time series model. Energy and
Buildings, 2016, 128: 605-616.
[41] Vallati, A., Vollaro, A. D. L., Golasi, I., Barchiesi, E., Caranese, C. On the Impact of Urban Micro Climate on the
Energy Consumption of Buildings. Energy Procedia, 2015, 82: 506-511.
[42] Liu, J., Shao, Q., Yan, X., Fan, J., Zhan, J., Deng, X., Huang, L. The climatic impacts of land use and land cover
change compared among countries. Journal of Geographical Sciences, 2016, 26.7: 889-903.
10
[43] Ma, Q., Wu, J., He, C. A hierarchical analysis of the relationship between urban impervious surfaces and land
surface temperatures: spatial scale dependence, temporal variations, and bioclimatic modulation.Landscape
Ecology, 2016, 31.5: 1139-1153.
[44] Zhang, H., Qi, Z. F., Ye, X. Y., Cai, Y. B., Ma, W. C., Chen, M. N. Analysis of land use/land cover change, population
shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China.
Applied Geography, 2013, 44: 121-133.
[45] Wang, Y., Akbari, H. Analysis of urban heat island phenomenon and mitigation solutions evaluation for
Montreal. Sustainable Cities and Society, 2016.
[46] Mirzaei, P. A. Recent challenges in modeling of urban heat island.Sustainable Cities and Society, 2015, 19: 200-
206.
[47] Lauwaet, D., De Ridder, K., Saeed, S., Brisson, E., Chatterjee, F., van Lipzig, N. P. M., Maiheu, B. Hooyberghs, H.
Assessing the current and future urban heat island of Brussels. Urban Climate, 2016, 15: 1-15.
[48] Li, X. X., Norford, L. K. Evaluation of cool roof and vegetations in mitigating urban heat island in a tropical city,
Singapore. Urban Climate, 2016, 16: 59-74.
[49] Arup, Reducing urban heat risk: A study on urban heat risk mapping and visualisation, 2014
... UHI learning in schools is essential to introduce the phenomenon to people and students. Ana Maria stated that more than 3700 distributed papers in the field were identified in the Web of Sci-ence Database from 1989 until 2016 (Maria et al., 2016). The more significant part of them was written in Meteorology, 26% of the identified papers, Environmental sciences (19%), and Engineering (11%). ...
... They are followed by documents written in building technology, energy, photographic technology, and physical geography. Although all the investigations are identified with urban structures, just 5% of all the composed papers were published in urban studies-related jour-nals, bringing this topic to the 10th spot on the list (Maria et al., 2016). UHI is one of the phenomenons of climate change impacts, but UHI has not been introduced at school. ...
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Full-text available
Nowadays, Urban Heat Island (UHI) occurs in big cities worldwide. The UHI phenomenon needs to be introduced in school because this phenomenon occurs around the students. Surakarta, one of the big cities in Indonesia, has been threatened by the UHI phenomenon, so enrichment materials related to the UHI phenomenon are needed for students in schools. This research will develop the UHI e-module as an enrichment teaching material on the impact of global climate change and research on climate and its utilization. This paper aims to present an e-module development research methodology on UHI based on the phenomenon of UHI threats in Surakarta City and its effect on student achievement and collaboration skills. Design and Development Research (DDR) uses the Borg and Gall model. The methodology of the research development is divided into three phases: the needs analysis phase, the design and development phase, and the implementation and evaluation phases. The difference in this research is the geographical space-based study approach in the development of material based on the UHI phenomenon in Surakarta City and urban and rural spatial sampling techniques.
... UHI learning in schools is essential to introduce the phenomenon to people and students. Ana Maria stated that more than 3700 distributed papers in the field were identified in the Web of Sci-ence Database from 1989 until 2016 (Maria et al., 2016). The more significant part of them was written in Meteorology, 26% of the identified papers, Environmental sciences (19%), and Engineering (11%). ...
... They are followed by documents written in building technology, energy, photographic technology, and physical geography. Although all the investigations are identified with urban structures, just 5% of all the composed papers were published in urban studies-related jour-nals, bringing this topic to the 10th spot on the list (Maria et al., 2016). UHI is one of the phenomenons of climate change impacts, but UHI has not been introduced at school. ...
Article
Full-text available
Nowadays, Urban Heat Island (UHI) occurs in big cities worldwide. The UHI phenomenon needs to be introduced in school because this phenomenon occurs around the students. Surakarta, one of the big cities in Indonesia, has been threatened by the UHI phenomenon, so enrichment materials related to the UHI phenomenon are needed for students in schools. This research will develop the UHI e-module as an enrichment teaching material on the impact of global climate change and research on climate and its utilization. This paper aims to present an e-module development research methodology on UHI based on the phenomenon of UHI threats in Surakarta City and its effect on student achievement and collaboration skills. Design and Development Research (DDR) uses the Borg and Gall model. The methodology of the research development is divided into three phases: the needs analysis phase, the design and development phase, and the implementation and evaluation phases. The difference in this research is the geographical space-based study approach in the development of material based on the UHI phenomenon in Surakarta City and urban and rural spatial sampling techniques.
... UHI learning in schools is essential to introduce the phenomenon to people and students. Ana Maria stated that more than 3700 distributed papers in the field were identified in the Web of Sci-ence Database from 1989 until 2016 (Maria et al., 2016). The more significant part of them was written in Meteorology, 26% of the identified papers, Environmental sciences (19%), and Engineering (11%). ...
... They are followed by documents written in building technology, energy, photographic technology, and physical geography. Although all the investigations are identified with urban structures, just 5% of all the composed papers were published in urban studies-related jour-nals, bringing this topic to the 10th spot on the list (Maria et al., 2016). UHI is one of the phenomenons of climate change impacts, but UHI has not been introduced at school. ...
Article
Full-text available
Nowadays, Urban Heat Island (UHI) occurs in big cities worldwide. The UHI phenomenon needs to be introduced in school because this phenomenon occurs around the students. Surakarta, one of the big cities in Indonesia, has been threatened by the UHI phenomenon, so enrichment materials related to the UHI phenomenon are needed for students in schools. This research will develop the UHI e-module as an enrichment teaching material on the impact of global climate change and research on climate and its utilization. This paper aims to present an e-module development research methodology on UHI based on the phenomenon of UHI threats in Surakarta City and its effect on student achievement and collaboration skills. Design and Development Research (DDR) uses the Borg and Gall model. The methodology of the research development is divided into three phases: the needs analysis phase, the design and development phase, and the implementation and evaluation phases. The difference in this research is the geographical space-based study approach in the development of material based on the UHI phenomenon in Surakarta City and urban and rural spatial sampling techniques.
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Urban heat island (UHI) studies have recognized ten factors as increasing the inner-city temperature ‎compared with that of the surrounding suburbs. The UHI effect is a leading cause of heat-related ‎diseases and mortality in many nations. However, there are still two main shortcomings. First, the ‎effect of UHI is not well recognized in arid and semi-arid regions. Second, the association of multi-‎dimensional information with surface temperature in urban areas must be examined. This study ‎focuses on the height-related aspects of urban geometry in an arid region. A range of multispectral ‎and spatial vector data were used to derive the surface temperature and two-dimensional (2D) and ‎three-dimensional (3D) information of the study area. All information was aggregated into a grid ‎with common spatial resolution to create a homogeneous dataset. The machine learning statistical ‎model of a boosted regression tree (BRT) was used to reflect the relative influence of 2D and ‎‎3D ‎indicators with land surface temperature. Our results showed a cooler surface temperature in the ‎city than in the surrounding area, leading to the question of whether the established UHI definition ‎encompasses all types of cities. In addition, the thermal band was able to distinguish different ‎spatial structures in the study area. The BRT analysis demonstrated that both multi-dimensional 2D ‎and 3D indicators affect the surface temperature. In particular, the 3D indicators play a more ‎important role than 2D indicators in shaping the surface temperature at different urban geometries ‎of the study area. This new method can help urban planners identify the most influential 2D and 3D ‎indicators that affect the surface temperature in different districts of a city.‎
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Surface urban heat island (SUHI) is defined as the elevated land surface temperature (LST) in urban area in comparison with non-urban areas, and it can influence the energy consumption, comfort and health of urban residents. In this study, the existence of daytime SUHI, in Cairo and its new towns during the summer, is investigated using three different approaches; (1) utilization of pre-urbanization observations as LST references; (2) utilization of rural observations as LST references (urban–rural difference); and (3) utilization of the SIUHI (Surface Intra Urban Heat Island) approach. A time series of Landsat TM & ETM+ data (46 images) from 1984 to 2015 was employed in this study for daytime LST calculation during summer. Different statistical hypothesis tests were utilized for the evaluation of LST and SUHI in the case studies. The results demonstrated that there is no significant LST difference between the urban areas studied, and their corresponding built-up areas. In addition, daytime LST in new towns during the summer is 2 K warmer than in Cairo. Utilization of a pre-urbanization observations approach, alongside an evaluation of the long-term trend, demonstrated that there is no daytime SUHI during the summer in the study areas, and construction activities in the study areas do not result in cooling or warming effects. Utilization of the rural observations approach showed that LST is lower in Cairo than its surrounding areas. This demonstrates why the selection of suitable rural references in SUHI studies is an important and complicated task, and how this approach may lead to misinterpretation in desert city areas with significant landscape and surface difference with their most surrounding areas (e.g., Cairo). Results showed that, although SIUHI technique can be representative for the changes of variance of LST in urban areas, it is not able to identify the changes of mean LST in urban areas.
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Urban heat islands (UHIs), usually defined as temperature differences between urban areas and their surrounding rural areas, are one of the most significant anthropogenic modifications to the Earth’s climate. This study applies the extreme value theory to model and detect trends in extreme UHI events in Hong Kong, which have rarely been documented. Extreme UHI events are defined as UHIs with intensity higher than a specific threshold, 4.8 for summer and 7.8 °C for winter. Statistical modeling based on extreme value theory is found to permit realistic modeling of these extreme events. Trends of extreme UHI intensity, frequency, and duration are introduced through changes in parameters of generalized Pareto, Poisson, and geometric distributions, respectively. During the 27-year study period, none of the quantities in winter analyzed in this study increased significantly. The annual mean summertime daily maximum UHI intensities, which are samples from a Gaussian distribution, show an increasing but nonsignificant linear trend. However, the intensity of extreme UHI events in summer is increasing significantly, which implies that the risk of mortality and heat-related diseases due to heat stress at night (when the daily maximum UHI occurs) in summer is also increasing. The warming climate has threatened and will continue to threaten inhabitants of this subtropical high-density city. Strategies for adaptation to and mitigation of climate change, such as adding greenery and planning a city with good natural ventilation, are needed.
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Although the urban heat island (UHI) phenomena phenomenon has was been documented over a century ago, the effect of the urban heat island on urban climate and environment during the summer have only been the focus of research over the last three decades. One main characteristics of the recent research has been to evaluate the summertime effects of UHI on energy use, air pollution, outdoor ambient temperature, and citizen health. The second aspect of the recent research has been the development and evaluation of materials to counter the effects of summertime UHI. This paper provides a selective representation (by topic) review of the research on the development and evaluation of mitigation measures, including: cool roofs, cool pavements, and urban vegetation.
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The heat island effect has resulted in higher urban temperatures. Green roofs could contribute to cooling, providing insulation to buildings, and lead to substantial savings in energy for temperature control. This study compared the effects of hydroponic green roofs on the reductions of rooftop temperature and heat amplitude. Treatments include water depths, plant types and growth mediums. The experimental site was located in Taichung, the third largest city of Taiwan, which has a subtropical climate. The results indicate that, first, a water depth of 10 cm is sufficient to provide an ideal hydroponic green roof system that reduced rooftop temperatures and heat amplitude by 5 °C and 55%, respectively. Second, when vegetation was added to the ideal hydroponic roof, the rooftop temperature was further reduced by 3 °C to 5 °C and the rooftop heat amplitude was further reduced by 16%, compared with the corresponding values for the roof without vegetation. However, between the two types of plants tested, no differences were observed in the reduction of rooftop temperature and heat amplitude. Third, the solid-type growth medium slightly outperformed the hydroponic-type growth medium in reducing the rooftop temperature; however, the solid-type was more challenging regarding system installation, maintenance, and weed control.
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Land use and land cover change (LULCC) strongly influence regional and global climate by combining both biochemical and biophysical processes. However, the biophysical process was often ignored, which may offset the biogeochemical effects, so measures to address climate change could not reach the target. Thus, the biophysical influence of LULCC is critical for understanding observed climate changes in the past and potential scenarios in the future. Therefore, it is necessary to identify the mechanisms and effects of large-scale LULCC on climate change through changing the underlying surface, and thus the energy balance. The key scientific issues on understanding the impacts of human activities on global climate that must be addressed including: (1) what are the basic scientific facts of spatial and temporal variations of LULCC in China and comparative countries? (2) How to understand the coupling driving mechanisms of human activities and climate change on the LULCC and then to forecasting the future scenarios? (3) What are the scientific mechanisms of LULCC impacts on biophysical processes of land surface, and then the climate? (4) How to estimate the contributions of LULCC to climate change by affecting biophysical processes of land surface? By international comparison, the impacts of LULCC on climate change at the local, regional and global scales were revealed and evaluated. It can provide theoretical basis for the global change, and have great significance to mitigate and adapt to global climate changes.
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The climate change and the proceeding urbanization create future health challenges. Consequently, more people around the globe will be impaired by extreme weather events, such as heat waves. This study investigates the causes for the emergence of surface urban heat islands and its change during heat waves in 70 European cities. A newly created climate class indicator, a set of meaningful landscape metrics, and two population-related parameters were applied to describe the Surface Urban Heat Island Magnitude (SUHIM) – the mean temperature increase within the urban heat island compared to its surrounding, as well as the Heat Magnitude (HM) – the extra heat load added to the average summer SUHIM during heat waves. We evaluated the relevance of varying urban parameters within linear models. The exemplary European-wide heat wave in July 2006 was chosen and compared to the average summer conditions using MODIS land surface temperature with an improved spatial resolution of 250 m. The results revealed that the initial size of the urban heat island had significant influence on SUHIM. For the explanation of HM the size of the heat island, the regional climate and the share of central urban green spaces showed to be critical. Interestingly, cities of cooler climates and cities with higher shares of urban green spaces were more affected by additional heat during heat waves. Accordingly, cooler northern European cities seem to be more vulnerable to heat waves, whereas southern European cities appear to be better adapted. Within the ascertained population and climate clusters more detailed explanations were found. Our findings improve the understanding of the urban heat island effect across European cities and its behavior under heat waves. Also, they provide some indications for urban planners on case-specific adaptation strategies to adverse urban heat caused by heat waves.
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Studies on the interactions between urban landscape patterns and land surface temperatures are the key to urban heat island (UHI) mitigation. However, the landscape pattern indices used in previous studies were inconsistent in type and number. Furthermore, few studies combined the composition and configuration indices into one integrated indicator. The description of landscape pattern is thus a great yet rewarding challenge. In this study, we used the integrated location weighted landscape index (LWLI) proposed by Chen et al. (2009) and revised it to indicate potential UHIs. Fifty-six circular landscape samples along four transects were created and the LWLI was derived based on the theory of the GINI index. The LWLI considers the type, composition and configuration of different land covers inside a landscape, where configuration is treated as location weights. The potential UHI was represented by the land surface temperature (LST) of each circle landscape center. The correlation analysis results showed that the LWLI was significantly positively correlated with summer potential UHIs, with a Pearson R equaling 0.736, and barely correlated with winter potential UHI. Moreover, the LWLI was slightly more strongly correlated with potential UHI than composition alone. These correlations weakened as the landscapes grew larger. The linear regression results further revealed that the LWLI explained about 53% of the summer potential UHI, which was slightly better than composition alone (49%). This indicated that the LWLI was as effective in predicting the potential UHI as the combination of several pattern indicators, echoing Tobler’s first law of geography, which states that “all things are related, but nearby things are more related than distant things.” This study also leaves room for improvement of the index by integrating more environmental/ecological parameters as weights, and for further application of the index in other fields.