Heat mitigation technologies can improve sustainability in cities. An holistic experimental and numerical impact assessment of urban overheating and related heat mitigation strategies on energy consumption, indoor comfort, vulnerability and heat-related mortality and morbidity in cities

Santamouris, M.; Paolini, Riccardo; Haddad, Shamila; Synnefa, Afroditi; Garshasbi, Samira; Hatvani-Kovacs, Gertrud; Gobakis, Kostas; Yenneti, Komali; Vasilakopoulou, Konstantina; Feng, Jie; Gao, Kai; Papangelis, Georgios; Dandou, A.; Methymaki, Georgia; Portalakis, Panagiotis; Tombrou, M.

doi:10.1016/j.enbuild.2020.110002

Cited by 104 publications

(52 citation statements)

References 59 publications

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“…This finding suggests that specific UHI mitigative strategies, especially those that behave as heat sinks (e.g., artificial water bodies), are likely to minimize the observed interactions between UHI and HW and thus reducing heat stress-related health risks on urban dwellers. While the idea of minimizing the combined effect of UHI and HW on urban dwellers through UHI mitigative strategies is rather self-explanatory and backed by extensive scientific reports [59][60][61][62], it is not clear which UHI mitigative measures are likely to provide optimum solutions. Specific techniques such as the use of water irrigation are likely to modify surface latent flux through increased evapotranspiration and thus significantly and positively influencing the synergies between UHI and HW.…”

Section: Plos Onementioning

confidence: 99%

Synergies between urban heat island and heat waves in Seoul: The role of wind speed and land use characteristics

et al. 2020

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The effects of heat waves (HW) are more pronounced in urban areas than in rural areas due to the additive effect of the urban heat island (UHI) phenomenon. However, the synergies between UHI and HW are still an open scientific question and have only been quantified for a few metropolitan cities. In the current study, we explore the synergies between UHI and HW in Seoul city. We consider summertime data from two non-consecutive years (i.e., 2012 and 2016) and ten automatic weather stations. Our results show that UHI is more intense during HW periods than non-heat wave (NHW) periods (i.e., normal summer background conditions), with a maximum UHI difference of 3.30°C and 4.50°C, between HW and NHW periods, in 2012 and 2016 respectively. Our results also show substantial variations in the synergies between UHI and HW due to land use characteristics and synoptic weather conditions; the synergies were relatively more intense in densely built areas and under low wind speed conditions. Our results contribute to our understanding of thermal risks posed by HW in urban areas and, subsequently, the health risks on urban populations. Moreover, they are of significant importance to emergency relief providers as a resource allocation guideline, for instance, regarding which areas and time of the day to prioritize during HW periods in Seoul.

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Section: Plos Onementioning

confidence: 99%

Synergies between urban heat island and heat waves in Seoul: The role of wind speed and land use characteristics

et al. 2020

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“…Similarly, Busato et al 34 assessed UHI incidences within the city of Padua, Italy through the development and utilisation of a mobile weather station built on a vehicle and capable to measure air temperature, relative humidity, and solar global radiation with a time-step of 5 s. Mobile weather units were employed also in the study of Parece et al 49 aiming to capture spatial patterns of air temperature (2 s time-step) across the Roanoke, Virginia, USA. Santamouris et al 50 also developed a mobile weather station, called “EnergyBus”, that measures air temperature, relative humidity, pressure, and wind speed.…”

Section: Introductionmentioning

confidence: 99%

Intra-urban microclimate investigation in urban heat island through a novel mobile monitoring system

Kousis

Pigliautile

Pisello

2021

Sci Rep

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Monitoring microclimate variables within cities with high accuracy is an ongoing challenge for a better urban resilience to climate change. Assessing the intra-urban characteristics of a city is of vital importance for ensuring fine living standards for citizens. Here, a novel mobile microclimate station is applied for monitoring the main microclimatic variables regulating urban and intra-urban environment, as well as directionally monitoring shortwave radiation and illuminance and hence systematically map for the first time the effect of urban surfaces and anthropogenic heat. We performed day-time and night-time monitoring campaigns within a historical city in Italy, characterized by substantial urban structure differentiations. We found significant intra-urban variations concerning variables such as air temperature and shortwave radiation. Moreover, the proposed experimental framework may capture, for the very first time, significant directional variations with respect to shortwave radiation and illuminance across the city at microclimate scale. The presented mobile station represents therefore the key missing piece for exhaustively identifying urban environmental quality, anthropogenic actions, and data driven modelling toward risk and resilience planning. It can be therefore used in combination with satellite data, stable weather station or other mobile stations, e.g. wearable sensing techniques, through a citizens’ science approach in smart, livable, and sustainable cities in the near future.

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“…With the acceleration of global urbanization, urban built-up areas expand rapidly in a short period of time, accompanied by urban problems such as land-use change and population imbalance caused by urban built-up area expansion [ 13 , 14 ]. Therefore, accurate extraction of urban built-up areas is also of great importance to alleviate urban problems in the process of urbanization [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Extraction of urban built-up area based on the fusion of night-time light data and point of interest data

Zhang

Yang

2021

R. Soc. open sci.

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The accurate extraction of urban built-up areas is an important prerequisite for urban planning and construction. As a kind of data that can represent urban spatial form, night-time light data has been widely used in the extraction of urban built-up areas. As one of the geographic open-source big data, point of interest (POI) data has a high spatial coupling with night-time light data, so researchers are beginning to explore the fusion of the two data in order to achieve more accurate extraction of urban built-up areas. However, the current research methods and theoretical applications of the fusion of POI data and night-time light data are still insufficient compared with the dramatically changing urban built-up areas, which needed to be further supplemented and deepened. This study proposes a new method to fuse POI data and night-time light data. The results before and after data fusion are compared, and the accuracy of urban built-up area extracted by different data and methods is analysed. The results show that the data fusion can avoid the shortage of single data and effectively improve the extraction accuracy of urban built-up areas, which is greatly helpful to supplement the study of data fusion in urban built-up areas, and also can provide decision-making guidance for urban planning and construction.

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Heat mitigation technologies can improve sustainability in cities. An holistic experimental and numerical impact assessment of urban overheating and related heat mitigation strategies on energy consumption, indoor comfort, vulnerability and heat-related mortality and morbidity in cities

Cited by 104 publications

References 59 publications

Synergies between urban heat island and heat waves in Seoul: The role of wind speed and land use characteristics

Synergies between urban heat island and heat waves in Seoul: The role of wind speed and land use characteristics

Intra-urban microclimate investigation in urban heat island through a novel mobile monitoring system

Extraction of urban built-up area based on the fusion of night-time light data and point of interest data

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