Urban surface temperature and microclimate measurements in Thessaloniki

Kantzioura, A.; Kosmopoulos, Panagiotis; Zoras, Stamatis

doi:10.1016/j.enbuild.2011.10.019

Cited by 60 publications

(37 citation statements)

References 10 publications

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“…Additionally, about 30% of LST was not explained by landscape patterns, for two reasons. First, the anthropogenic heat from buildings and transportation heat as heat from land use also have an effect on LST (Kantzioura et al, 2012), but were not included as we only considered the land cover. Second, simultaneous and adjacent weather conditions could be a factor affecting LST (Schwarz et al, 2012), but has not been included in our analysis.…”

Section: Limitationsmentioning

confidence: 99%

How many metrics are required to identify the effects of the landscape pattern on land surface temperature?

Chen

Yao

Sun

et al. 2014

Ecological Indicators

179

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a b s t r a c tUrban heat island (UHI) is a global issue as a result of urbanization. Land surface temperature (LST) is closely related to the thermal environment and energy budget of the earth surface, and is an important parameter in identifying UHI effects. Previous studies have proved the effects of landscape pattern on LST by using landscape metrics. However, the metrics used were inconsistent in number and type. Further, fewer studies tried to select representative metrics from the numerous metrics for LST indication. In this study we tried to explore the effects of landscape pattern on LST in Beijing by using the representative class level metrics selected through cluster analysis, factor analysis and regression. The results showed a composition metric such as PLAND (e.g. percentage of impervious surface in a landscape) alone explained about 56% of the landscape mean LST, whereas adding a configuration metric such as LSI (landscape shape index) or Gyrate MN (mean gyration index) explained approximate another 6-12%. Adding more other configuration metrics does not improve the regression model performance more than 1%. The regression results also revealed that without targeted dependent variables, the factor analysis is of no use for choosing landscape metrics. These indicate that landscape composition and configuration both have effects on landscape mean LST, while composition is much more important than configuration, and that a combination of one composition metric with no more than four configuration metrics of impervious surface is sufficient for LST prediction. These results can help landscape ecologists in using landscape metrics and further help landscape planners to balance land cover in urban planning.

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Section: Limitationsmentioning

confidence: 99%

How many metrics are required to identify the effects of the landscape pattern on land surface temperature?

Chen

Yao

Sun

et al. 2014

Ecological Indicators

179

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“…Additionally, the impact of green space change on air pollution and microclimate is most important. Previous studies of air pollution and microclimate in urban area emphasize anthropogenic factors (such as building intensity, transportation, industrial development) [31][32][33][34][35][36][37][38][39][40]. There are few research papers that discuss the green space effects on air pollution and microclimates.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Green Space Changes on Air Pollution and Microclimates: A Case Study of the Taipei Metropolitan Area

Liu

Shen

2014

Sustainability

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Abstract:In order to achieve a sustainable urban environment, the increase of green space areas is commonly used as a planning tool and adaptation strategy to combat environmental impacts resulting from global climate change and urbanization. Therefore, it is important to understand the change of green space areas and the derived impacts from the change. This research firstly applied space analysis and landscape ecology metrics to analyze the structure change of the pattern of green space area within the Taipei Metropolitan Area. Then, partial least squares were used to identify the consequences on microclimate and air pollution pattern caused by the changing pattern of green space areas within the districts of the Taipei Metropolitan Area. According to the analytical results, the green space area within Taipei Metropolitan Areas has decreased 1.19% from 1995 to 2007, but 93.19% of the green space areas have been kept for their original purposes. Next, from the landscape ecology metrics analysis, in suburban areas the linkages, pattern parameters, and space aggregation are all improving, and the fragmentation measure is also decreasing, but shape is becoming more complex. However, due to intensive land development in the city core, the pattern has becomes severely fragmented and decentralized causing the measures of the linkages and pattern parameters to decrease. The results from structural equation modeling indicate that the changing pattern of green space areas has great influences on air pollution and microclimate patterns. For instance, less air pollution, smaller rainfall patterns and cooler temperatures are associated with improvement in space aggregation, increasing the larger sized green space patch. OPEN ACCESSSustainability 2014, 6 8828

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“…In order to research the parameters that influence the urban microclimate, measurements at ground level and/or different heights around buildings and city's blocks, scale models and simulation work can be employed [18].…”

Section: Introductionmentioning

confidence: 99%

Investigation of urban microclimate parameters in an urban center

Dimoudi

Kantzioura

Zoras

et al. 2013

Energy and Buildings

Self Cite

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a b s t r a c tThe local climate of an urban area can be greatly affected by the urban thermo-physical and geometrical characteristics, anthropogenic activities and heat sources present in the area. A growing interest in microclimate issues has been raised as they represent important factors in achieving energy conservation and sustainability inside the cities, where a big amount of the population lives.This paper presents the analysis of microclimatic conditions in urban street canyons in a city of Northern Greece, Serres. A number of field measurements were carried out during summer 2011 aiming at investigation of the microclimate parameters that affect thermal conditions in the city's streets. The present study focused on the experimental investigation of wind characteristics (speed and direction) and thermal profile (air temperature distribution) of an area consisted by several building blocks in the city center.The data analysis concentrated at the differences that were observed inside the canyons, along different streets and the comparison between the microclimatic parameters in the urban center and the suburban area. Estimation of the cooling degree days for the area shows the increased energy needs of the surrounding buildings during the summer period.

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Urban surface temperature and microclimate measurements in Thessaloniki

Cited by 60 publications

References 10 publications

How many metrics are required to identify the effects of the landscape pattern on land surface temperature?

How many metrics are required to identify the effects of the landscape pattern on land surface temperature?

The Impact of Green Space Changes on Air Pollution and Microclimates: A Case Study of the Taipei Metropolitan Area

Investigation of urban microclimate parameters in an urban center

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