Spatiotemporal Prediction of Increasing Winter Perceived Temperature across a Sub-Tropical City for Sustainable Planning and Climate Change Mitigation

Abstract

Climate variability has been documented as being key to influencing human wellbeing across cities as it is linked to mortality and illness due to changes in the perceived weather cycle. Many studies have investigated the impact of summer temperature on human health and have proposed mitigation strategies for summer heat waves. However, sub-tropical cities are still experiencing winter temperature variations. Increasing winter perceived temperature through the decades may soon affect city wellbeing, due to a larger temperature change between normal winter days and extreme cold events, which may cause higher health risk due to lack of adaptation and self-preparedness. Therefore, winter perceived temperature should also be considered and integrated in urban sustainable planning. This study has integrated the increasing winter perceived temperature as a factor for developing spatiotemporal protocols for mitigating the adverse impact of climate change. Land surface temperature (LST) derived from satellite images and building data extracted from aerial photographs were used to simulate the adjusted wind chill equivalent temperature (AWCET) particularly for sub-tropical scenarios between 1990 and 2010 of the Kowloon Peninsula, Hong Kong. Compared with perceived temperature based on the representative station located at the headquarters of the Hong Kong Observatory, the temperature of half the study area in the Kowloon Peninsula has raised by 1.5 °C. The areas with less green space and less public open space in 2010 show higher relative temperatures. Socioeconomically deprived areas (e.g., areas with lower median monthly income) may suffer more from this scenario, but not all types of socioeconomic disparities are associated with poor sustainable planning. Based on our results and the “no-one left behind” guideline from the United Nations, climate change mitigation should be conducted by targeting socioeconomic neighborhoods more than just aging communities.

Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data

“…A major goal of thermal remote sensing is the estimation of the true (kinetic) surface temperature due to its usefulness in diverse applications such as modeling energy balance [1][2][3][4][5][6] , vegetation conditions 7,8 , environmental stressors effects, and climate change [9][10][11] . The importance of thermal remote sensing in agriculture has been demonstrated at scales from global to regional and from farm to sub-plant, the latter scale being addressed by infrared temperature sensors 12 and microbolometer cameras 13,14 .…”

The associations between social, built and geophysical environment and age-specific dementia mortality among older adults in a high-density Asian city

“…Furthermore, as Hong Kong is a city with high-density living and a compact environment [34,51], it is expected that "population stress" has been occurring due to the local population growing faster than the available land [14]. Based on the perspective of human ecology, this population growth can also influence the change of urban form and natural environment [16].…”

The associations between social, built and geophysical environment and age-specific dementia mortality in a high-density Asian city

“…Furthermore, as Hong Kong is a city with high-density living and a compact environment (Ho et al, 2019b;Peng et al, 2017), it is expected that "population stress" has been occurring due to the local population growing faster than the available land (Chi & Ho, 2018). Based on the perspective of human ecology, this population growth can also in uence the change of urban form and natural environment (Clement et al, 2015).…”