Influence of urbanization on winter surface temperatures in a topographically asymmetric Tropical City, Bhubaneswar, India

被引:3
|
作者
Nayak, Hara Prasad [1 ,2 ]
Nandini, Gopinath [1 ]
Vinoj, V. [1 ]
Landu, Kiranmayi [1 ]
Swain, Debadatta [1 ]
Mohanty, Uma Charan [3 ]
Niyogi, Dev [4 ,5 ]
机构
[1] Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Bhubaneswar, India
[2] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA
[3] Siksha O Anusandhan Deemed be Univ, Ctr Climate Smart Agr, Bhubaneswar, India
[4] Univ Texas Austin, Jackson Sch Geosci, Austin, TX USA
[5] Univ Texas Austin, Cockrell Sch Engn, Austin, TX USA
来源
COMPUTATIONAL URBAN SCIENCE | 2023年 / 3卷 / 01期
关键词
Winter surface temperature; Urbanization; Urban canopy model; Topography; URBAN HEAT-ISLAND; USE/LAND-COVER CHANGE; ANTHROPOGENIC HEAT; LONGWAVE RADIATION; ENERGY BUDGET; LOCAL CLIMATE; CANOPY MODEL; LAND-USE; IMPACT; SENSITIVITY;
D O I
10.1007/s43762-023-00112-y
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Urban areas experience significant alterations in their local surface energy balance due to changes in the thermal properties of impervious surfaces, albedo, land use, and land cover. In addition, the embedded influence of urbanization and heat-trapping in the urban canopy cause city temperature warmer compared to its surroundings peri-urban regions. However, the influence of urbanization on winter surface temperatures remains unclear. In this study, the urbanization influence on winter surface temperature in Bhubaneswar, a tropical two-tier city in India, is assessed using a high-resolution (4 km x 4 km) urban canopy model coupled with the Weather Research and Forecasting model. Numerical experiments are conducted with no urban coupling (CTL) and with coupling of a single-layer urban canopy model (UCM) for the winters of 2004 and 2015. The study suggests that both model simulations exhibit a similar warm bias in mean surface temperature (similar to 2.2 C-degrees), but UCM's surface temperature better agrees with the observations compared to CTL. The warm bias in both experiments is primarily contributed by a higher nighttime warm bias (similar to 3.2 C-degrees). The study reveals that urbanization contributes to similar to 0.4 C-degrees increase in surface temperature in 2015, especially in the eastern lowland regions of the city, while the impact is minimal in 2004. In the western region, the influence is nullified, possibly due to lower surface specific humidity affecting longwave radiation in a higher terrain setting. This study underscores the significance of terrain and local microclimate conditions in shaping winter urban surface temperatures, shedding light on the complex interplay between urbanization and climate.
引用
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页数:14
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