Allometric scaling of thermal infrared emitted from UK cities and its relation to urban form

Abdulrasheed, Mukhtar; MacKenzie, A. Rob; Whyatt, J. Duncan; Chapman, Lee

doi:10.1016/j.cacint.2020.100037

“…Similar to the law of relative growth observed in the development of organisms in nature, allometric phenomena involving various components of urban systems have been evinced by numerous studies [37]. For example, Abdulrasheed et al [38] investigated the quantitative scaling relationship between clear-sky upwelling energy and the population size in 35 cities in the United Kingdom (UK). The "economy of scale" implied by the allometry slope reflects the relationship between urban form and urban size and inspires planning responses.…”

Section: Introductionmentioning

confidence: 93%

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Liao

¹

,

Tang

²

,

Shao

³

2023

Remote Sensing

6

0

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Accurately estimating land-use demand is essential for urban models to predict the evolution of urban spatial morphology. Due to the uncertainties inherent in socioeconomic development, the accurate forecasting of urban land-use demand remains a daunting challenge. The present study proposes a modeling framework to determine the scaling relationship between the population and urban area and simulates the spatiotemporal dynamics of land use and land cover (LULC). An allometric scaling (AS) law and a Markov (MK) chain are used to predict variations in LULC. Random forest (RF) and cellular automata (CA) serve to calibrate the transition rules of change in LULC and realize its micro-spatial allocation (MKCARF-AS). Furthermore, this research uses several shared socioeconomic pathways (SSPs) as scenario storylines. The MKCARF-AS model is used to predict changes in LULC under various SSP scenarios in Jinjiang City, China, from 2020 to 2065. The results show that the figure of merit (FoM) and the urban FoM of the MKCARF-AS model improve by 3.72% and 4.06%, respectively, compared with the MKCAANN model during the 2005–2010 simulation period. For a 6.28% discrepancy between the predicted urban land-use demand and the actual urban land-use demand over the period 2005–2010, the urban FoM degrades by 21.42%. The growth of the permanent urban population and urban area in Jinjiang City follows an allometric scaling law with an exponent of 0.933 for the period 2005–2020, and the relative residual and R2 are 0.0076 and 0.9994, respectively. From 2020 to 2065, the urban land demand estimated by the Markov model is 19.4% greater than the urban area predicted under scenario SSP5. At the township scale, the different SSP scenarios produce significantly different spatial distributions of urban expansion rates. By coupling random forest and allometric scaling, the MKCARF-AS model substantially improves the simulation of urban land use.

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“…Stark contrast between urban and rural air temperature happens at nighttime reaching approximately 7 -12°C, whereas at daytime the difference ranges from 1°C to 3°C (Stanganelli & Soravia, 2012). As the consequence of heat absorption at daytime and heat release at night, material surface emits thermal infrared at night which results in the temperature rise (Abdulrasheed et al, 2020;Ahrens, 2009). In this study, we chose a rather homogenous terrain, characterized by morphological slope which ranges 0 -2%.…”

Section: Introductionmentioning

confidence: 99%

Study of Urban Heat Island in Yogyakarta City Using Local Climate Zone Approach

Rahmah,

Nurjani

2023

mijst

0

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Yogyakarta urban area has increased significantly for the past ten years and altered ecological features, such as inducing urban heat island (UHI). Our objectives are examining UHI characteristics in Yogyakarta urban with atmospheric variables which include air temperature and relative humidity and analyzing the UHI distribution using the LCZ method. This study uses the LCZ classification to spatially compare thermal characteristic and explain how land use and building geometry affect UHI. The system comprises 17 standard classes at the local scale, using quantitative approach which includes numerical data, such as aspect ratio, building heights, and street canyons to support the classification system. Three LCZ classes found in Yogyakarta urban area are LCZ 3, LCZ 5, and LCZ 6. The LCZ variables which affect temperature and relative humidity are building heights, width of street canyons, and land use. The biggest thermal difference is ΔLCZ3-LCZ5 and ΔLCZ3-LCZ6, which happened during 08.00 – 12.00 and 16.00 – 20.00. Small UHI magnitude (< 2K) is affected by small difference in morphology and fabric. Medium UHI magnitude (2 – 5K) is mostly caused by large difference in fabric and small difference in morphology. In the future, the LCZ should be widely applied for urban planning regarding climatic mitigation.

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“…Stark contrast between urban and rural air temperature happens at nighttime reaching approximately 7 -12°C, whereas at daytime the difference ranges from 1°C to 3°C (Stanganelli & Soravia, 2012). As the consequence of heat absorption at daytime and heat release at night, material surface emits thermal infrared at night which results in the temperature rise (Abdulrasheed et al, 2020;Ahrens, 2009). In this study, we chose a rather homogenous terrain, characterized by morphological slope which ranges 0 -2%.…”

Section: Introductionmentioning

confidence: 99%

Study of Urban Heat Island in Yogyakarta City Using Local Climate Zone Approach

Rahmah

¹

,

Nurjani

²

2023

mijst

0

View full text Add to dashboard Cite

Yogyakarta urban area has increased significantly for the past ten years and altered ecological features, such as inducing urban heat island (UHI). Our objectives are examining UHI characteristics in Yogyakarta urban with atmospheric variables which include air temperature and relative humidity and analyzing the UHI distribution using the LCZ method. This study uses the LCZ classification to spatially compare thermal characteristic and explain how land use and building geometry affect UHI. The system comprises 17 standard classes at the local scale, using quantitative approach which includes numerical data, such as aspect ratio, building heights, and street canyons to support the classification system. Three LCZ classes found in Yogyakarta urban area are LCZ 3, LCZ 5, and LCZ 6. The LCZ variables which affect temperature and relative humidity are building heights, width of street canyons, and land use. The biggest thermal difference is ΔLCZ3-LCZ5 and ΔLCZ3-LCZ6, which happened during 08.00 – 12.00 and 16.00 – 20.00. Small UHI magnitude (< 2K) is affected by small difference in morphology and fabric. Medium UHI magnitude (2 – 5K) is mostly caused by large difference in fabric and small difference in morphology. In the future, the LCZ should be widely applied for urban planning regarding climatic mitigation.

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Allometric scaling of thermal infrared emitted from UK cities and its relation to urban form

Cited by 7 publications

References 90 publications

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Study of Urban Heat Island in Yogyakarta City Using Local Climate Zone Approach

Study of Urban Heat Island in Yogyakarta City Using Local Climate Zone Approach

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