کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6776043 513527 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computational study of urban heat island of Putrajaya, Malaysia
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Computational study of urban heat island of Putrajaya, Malaysia
چکیده انگلیسی
The administrative capital of Malaysia, Putrajaya, is one of those cities built on the garden-city concept, however, few studies have been devoted to confirm the validity of the concept. Numerical mesoscale Weather Research and Forecasting (WRF) Model was coupled with Noah land surface model and a single layer urban canopy model (UCM) to investigate the existence and distribution of UHI, and the behaviour of urban canopy layer (2-m) temperature of Putrajaya city. Suitability of the model WRF employed in studying UHI phenomenon in the tropical city of Putrajaya, Malaysia was determined. Precincts in Putrajaya city were classified into local climate zones (LCZs) and the contribution of urban fabrics on the spatial and temporal variations of UHI was also investigated. Results of the model were verified with in situ studies of the area, and observational data from Alam Sekitar Malaysia Sdn Bhd (ASMA). Comparison with ASMA observational and in situ data reveals a satisfactory performance of the model. UHI intensity of Putrajaya exhibits a diurnal profile; increasing during the night to a peak value and then diminishing in the morning with a negligible value during mid-day. During the night hours, the UHII ranges from 1.9 °C to 3.1 °C in some of the precincts (LCZs) considered. Overall, average daily intensity of 0.79 °C heating was noted in Putrajaya for the study duration. The overall effect of urbanized LCZs heating of Putrajaya was normalized by the total amount of area reserved for vegetation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sustainable Cities and Society - Volume 19, December 2015, Pages 359-372
نویسندگان
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