A new method to quantify surface urban heat island intensity

Li, Huidong; Zhou, Yuyu; Li, Xiaoma; Meng, Lin; Wang, Xun; Wu, Sha; Sodoudi, Sahar

doi:10.1016/j.scitotenv.2017.11.360

Cited by 241 publications

(140 citation statements)

References 61 publications

Supporting

Mentioning

135

Contrasting

Unclassified

Order By: Relevance

“…To validate the latter, an additional analysis investigates the daily minimum and maximum temperature for each model, comparing Berlin to its surroundings. According to previous studies, the UHI should be larger at night than during the day [67]. The results of the analysis are presented in Figure 5.…”

Section: Models and Observationsmentioning

confidence: 55%

See 1 more Smart Citation

Urban Areas and Urban–Rural Contrasts under Climate Change: What Does the EURO-CORDEX Ensemble Tell Us?—Investigating near Surface Humidity in Berlin and Its Surroundings

2019

View full text Add to dashboard Cite

Climate change will impact urban areas. Decision makers need useful climate information to adapt adequately. This research aims to improve understanding of changes in moisture and temperature projected under climate change in Berlin compared to its surroundings. Simulations for the Representative Concentration Pathway (RCP) 8.5 scenario from the European Coordinated Regional Climate Downscaling Experiment (EURO-CORDEX) 0.11 • are analyzed, showing a difference in moisture and temperature variables between Berlin and its surroundings. The running mean over 30 years shows a divergence throughout the twenty-first century for relative humidity between Berlin and its surroundings. Under this scenario, Berlin gets drier over time. The Mann-Kendall test quantifies a robust decreasing trend in relative humidity for the multi-model ensemble throughout the twenty-first century. The Mann-Whitney-Wilcoxon test for relative humidity indicates a robust climate change signal in Berlin. It is drier and warmer in Berlin compared to its surroundings for all months with the largest difference existing in summer. Additionally, the change in humidity for the period 2070-2099 compared to 1971-2000 is larger in the summer months. This study presents results to better understand near surface moisture change and related variables under long-term climate change in urban areas compared to their rural surroundings using a regional climate multi-model ensemble.

show abstract

Section: Models and Observationsmentioning

confidence: 55%

“…According to previous studies, the largest temperature difference between the urban and rural areas, the largest UHI, is expected during the night. In winter, the temperature difference between Berlin and its surroundings is expected to be smaller compared to other seasons [67,68].…”

Section: Models and Observationsmentioning

confidence: 99%

Urban Areas and Urban–Rural Contrasts under Climate Change: What Does the EURO-CORDEX Ensemble Tell Us?—Investigating near Surface Humidity in Berlin and Its Surroundings

2019

View full text Add to dashboard Cite

show abstract

“…These data have been widely validated and utilized (Eleftheriou et al, 2018;Huete et al, 2002;Li et al, 2018;Wan, 2008;Wang et al, 2015;. LST information was extracted from version 6 MOD11A2 data (8day composite, 1,000-m spatial resolution, 2001-2017).…”

Section: Analyzing the Temporal Trends Of Lst And Suhiimentioning

confidence: 99%

Greening in Rural Areas Increases the Surface Urban Heat Island Intensity

Yao

Wang

Huang

et al. 2019

Geophysical Research Letters

195

View full text Add to dashboard Cite

In this study, Moderate Resolution Imaging Spectroradiometer land cover, land surface temperature (LST), and enhanced vegetation index (EVI) data were used to investigate the trends of surface urban heat island intensity (SUHII, urban LST minus rural LST) and their relations with vegetation in 397 global big cities during 2001–2017. Major findings include the following: (1) Annual daytime and nighttime SUHII increased significantly (p < 0.05, Mann‐Kendall trend test) in 42.1% and 30.5% cities, respectively. (2) The daytime SUHII in the growing season was significantly and positively correlated with rural EVI in 58.9% cities. This is because high rural EVI can increase the EVI difference between urban and rural areas. (3) Rural greening contributed 22.5% of the increased daytime SUHII in the growing season at the global scale. This study highlights that the effect of greening in rural areas was a significant and widespread driver for the increased daytime SUHII.

show abstract

“…Other effective methods pay their attention on the difference between temperatures of land surface and impervious surface areas [11], by means of remote sensing observations.…”

Section: Urban Heat Island and Buildings Albedomentioning

confidence: 99%

A simple methodology for comparing cost-benefit of traditional, green and cool roofs

et al. 2019

View full text Add to dashboard Cite

Energy policy makers, architects and researchers, when designing new buildings or rehabilitating the existing ones, are engaged in the attempt of limiting the energy needs for climatization (NZEB buildings) and the environmental pressure exerted by buildings (EU Climate Action). The pursuit of this demanding assignment calls for innovative solutions in conceiving the building envelope and its energy systems. Recently, among the most effective tools for improving the energy and environmental performances of buildings, the technical interventions regarding the roofs are gaining a rising attention. Indeed, covers of buildings are responsible of a relevant part of their energy losses and, on the other hand, could contribute to increasing the UHI effect. In the paper, a simple methodology that compares the energy and environmental benefits of cool and green coverages with traditional ones is presented. The capability of limiting the UHI effect of these solutions is also analysed. The methodology is applied to four cities of the Sicilian Island, characterized by different building density and different microclimates. This in-field application shows the feasibility of the method to be used in different urban contexts, as a useful contribution to the design of new buildings or to the re-design of the existing ones.

show abstract

A new method to quantify surface urban heat island intensity

Cited by 241 publications

References 61 publications

Urban Areas and Urban–Rural Contrasts under Climate Change: What Does the EURO-CORDEX Ensemble Tell Us?—Investigating near Surface Humidity in Berlin and Its Surroundings

Urban Areas and Urban–Rural Contrasts under Climate Change: What Does the EURO-CORDEX Ensemble Tell Us?—Investigating near Surface Humidity in Berlin and Its Surroundings

Greening in Rural Areas Increases the Surface Urban Heat Island Intensity

A simple methodology for comparing cost-benefit of traditional, green and cool roofs

Contact Info

Product

Resources

About