An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples

Oliveira, Ana; Lopes, António; Niza, Samuel; Soares, Amílcar

doi:10.1016/j.scitotenv.2021.150130

Cited by 37 publications

(17 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The "others" LCZ classification methods appear in 21%, corresponding to unique ways with an appearance in only one article each. It generally used approaches already adopted in software, such as the QGIS plugin, as the [13] study, the Copernicus LCZ generating tool seen in [43] research, and methods based on previous studies such as those of [44,45].…”

Section: Methods To Obtain the Local Climate Zonesmentioning

confidence: 99%

See 1 more Smart Citation

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Fernandes¹,

Nascimento²,

Freitas³

et al. 2022

Preprint

View full text Add to dashboard Cite

The Land Surface Temperature (LST) is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZ) classification system to discriminate those urban areas. Therefore, our study aims to do a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, it was found in the scientific literature 10,403 articles which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016. However, presenting an increasing trend. China was the country with more studies. Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, considering the current climatic changes, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST.

show abstract

Section: Methods To Obtain the Local Climate Zonesmentioning

confidence: 99%

“…Other spectral indices mostly used were the Normalized Difference Water Index (NDWI) and Normalized Difference Building (NDBI), which appeared in 14% of the studies. For example, [43] also used them with the NDVI as conditional arguments for pixel size reclassification and LST variables for the prediction model.…”

Section: Indexmentioning

confidence: 99%

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Fernandes¹,

Nascimento²,

Freitas³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Compared with the building type LCZ, the natural type LCZ had a lower surface temperature (except in winter). Taking summer as an example, the daytime surface temperature was LCZG(13) < LCZA/B (12) < LCZD(11) < LCZE (7), the nighttime surface temperature presented LCZD(13) < LCZA/B(12) < LCZG(11) < LCZE (7), which indicates that in the hot summer, the vegetation and water bodies have lower surface temperatures in both daytime and night-time, related studies have shown that vegetation and water bodies are important components of urban heat island mitigation in cities (66). Zhou et al (34) quantified diurnal and seasonal UHII of 32 major Chinese cities to analyze their spatial variability and influencing factors, and suggested that a variety of strategies are needed to effectively mitigate the UHI effect.…”

Section: Changes In Lst As a Function Of Lczmentioning

confidence: 99%

“…Previous studies have shown that the change of thermal environment will not only affect people's physiological condition, but also have serious psychological effects (10). Meanwhile, global heat wave events are increasing in frequency (11)(12)(13), and climate warming have also changed the urban thermal environment to some extent. Therefore, the spatial and temporal patterns and variability of the urban thermal environment must be explored to improve livability and public health in cities for global urban development (14)(15)(16).…”

Section: Introductionmentioning

confidence: 99%

Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective

Shi

Yang

Wang

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

High urban temperatures affect city livability and may be harmful for inhabitants. Analyzing spatial and temporal differences in surface temperature and the thermal impact of urban morphological heterogeneity can promote strategies to improve the insulation of the urban thermal environment. Therefore, we analyzed the diurnal variation of land surface temperature (LST) and seasonal differences in the Fifth Ring Road area of Beijing from the perspective of the Local Climate Zone (LCZ) using latest ECOSTRESS data. We used ECOSTRESS LST data with a resolution of 70 m to accurately interpret the effects of urban morphology on the local climate. The study area was dominated by the LCZ9 type (sparse low-rise buildings) and natural LCZ types, such as LCZA/B (woodland), LCZD (grassland), and LCZG (water body), mainly including park landscapes. There were significant differences in LST observed in different seasons as well as day and night. During daytime, LST was ranked as follows: summer > spring > autumn > winter. During night-time, it was ranked as follows: summer > autumn > spring > winter. All data indicated that the highest and lowest LST was observed in summer and winter, respectively. LST was consistent with LCZ in terms of spatial distribution. Overall, the LST of each LCZ during daytime was higher than that of night-time during different seasons (except winter), and the average LST of each LCZ during the diurnal period in summer was higher than that of other seasons. The LST of each LCZ during daytime in winter was lower than that of the corresponding night-time, which indicates that it is colder in the daytime during winter. The results presented herein can facilitate improved analysis of spatial and temporal differences in surface temperature in urban areas, leading to the development of strategies aimed at improving livability and public health in cities.

show abstract

“…To achieve this, traditionally weather stations have been adopted to gather meteorological data pertaining to urban heat. 18 For example, Oliveira, Lopes, Niza, & Soares 19 utilized air temperature data collected from a weather station to assist in investigating heat storage in various urban forms. Also, Bassani et al 20 adopted pairs of weather stations to calculate mean temperature difference data to investigate the UHI effect in the Italian city of Turin.…”

Section: Introductionmentioning

confidence: 99%

An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture

O’Malley

Kikumoto

2022

Japan Architectural Review

View full text Add to dashboard Cite

This study aimed to investigate urban forms susceptible to heightened heat intensities in the Tokyo Prefecture in Japan. Adopting Landsat 8 data at a pixel resolution of 100 m, local climate zones (LCZ) were identified. LCZs contain urban forms which are primarily defined by building compactness and height. Daytime spatial distribution of land surface temperatures (LST) was provided by MODIS 100 m resolution data from 2013 to 2021. Median LSTs for compact and super high‐rise, high‐rise, mid‐rise, and low‐rise LCZs were 34.4, 35.5, 37.3, and 38.1°C, respectively. Additionally, LSTs for open and super high‐rise, high‐rise, and mid‐rise LCZs were 37.4, 37.5, and 37.1°C, respectively. Therefore, this suggests lower‐rise and open LCZs are prone to increased urban heat intensities and higher‐rise and compact LCZs are an urban heat mitigation strategy. Open mid‐rise also offers heat reduction capabilities. Compact low‐rise and open mid‐rise spatial analysis also confirmed this trend with vegetation indices validating urban configuration as significantly influencing LSTs. Furthermore, due to LSTs constituting heat health risks, 11 municipalities comprised of predominantly compact low‐rise LCZs were identified as a priority for urban heat mitigation. Among these, Nakano, Nerima, and Suginami posed the greatest heat risks.

show abstract

An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples

Cited by 37 publications

References 65 publications

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective

An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture

Contact Info

Product

Resources

About