scholarly journals Characterization of the urban heat island at Toronto: Revisiting the choice of rural sites using a measure of day-to-day variation

Urban Climate ◽  
2018 ◽  
Vol 25 ◽  
pp. 187-195 ◽  
Author(s):  
Conor I. Anderson ◽  
William A. Gough ◽  
Tanzina Mohsin
Author(s):  
Hildreth Jadira Villamil-Almeida ◽  
Kevin Andrés Blanco-Mantilla ◽  
Oscar Yazit Salah-García ◽  
Carlos Eduardo García Sánchez

One of the meteorological effects in cities is the increase in local temperature, which is known as urban heat island (UHI). The objective of this study was to detect and quantify the possible UHI in the city of Bucaramanga, Colombia. For this purpose, a real-time temperature measurement network was installed, composed of seven nodes, used to obtain temperature values every minute. Six of the nodes were located in different positions in the city, and the remaining one was used to give the reference measurement. The data collected were processed for elimination of outliers, management of missing data and noise filtering. Analysis of the data allowed detecting differences in the diurnal and nocturnal UHI intensity trends. It was concluded that the UHI intensity during the day varies depending on the Local Climate Zone that represents the location, while the UHI intensity value at night is quite uniform across the city, with a mean value of 1.0 °C. It was also possible to conclude that the magnitude of the daytime UHI is lower in the dry season.


Urban Climate ◽  
2020 ◽  
Vol 32 ◽  
pp. 100615 ◽  
Author(s):  
Arissa Sary Umezaki ◽  
Flavia Noronha Dutra Ribeiro ◽  
Amauri Pereira de Oliveira ◽  
Jacyra Soares ◽  
Regina Maura de Miranda

2020 ◽  
Author(s):  
Annkatrin Burgstall ◽  
Ana Casanueva ◽  
Elke Hertig ◽  
Erich Fischer ◽  
Reto Knutti ◽  
...  

<p>An increasing fraction of people living in urban areas and the expected increase in long lasting heat waves highlight the important role of urban climates in terms of future climate change impacts, especially with relation to the heat-health sector. Due to the urban heat island (UHI) effect and its (generally) increased intensity particularly during nighttime, people living in urban areas happen to be more affected by heat-related discomfort and health risks than those in non-urban regions. In this contribution, temperatures of both rural and urban sites (station couples) in Switzerland and Southern Germany are analyzed, using (i) observed as well as (ii) bias-corrected and downscaled climate model data for daily minimum (tmin) and daily maximum temperature (tmax) to account for the UHI in future climates. As meteorological data are often restricted to locations of long-term measurements at rural sites only, they need to be transferred to urban sites first. For this purpose, the well-established quantile mapping technique (QM) is tested in a two-step manner. The resulting products are urban time series at daily resolution for tmin and tmax. By analyzing the temperature differences of the observed climate at rural sites and their respective urban counterparts and by assuming a stationary relationship between both, we can represent the UHI in future climates, which is quantified in terms of heat indices based on tmin and tmax (tropical nights, summer days, hot days).</p><p>The QM performance is evaluated using long-term weather station data of a Zurich station couple in a comprehensive cross-validation framework. Results reveal a promising performance in the present-day climate, given very low biases in the validation.</p><p>Applying the proposed method to the employed station couples, projections indicate distinct urban-rural temperature differences (UHI) during nighttime (considering the frequency of tropical nights based on tmin) compared to weak differences during the day (considering the frequency of summer days and hot days based on tmax). Moreover, scenarios suggest the frequency of all indices to dramatically rise at the urban site by the end of the century under a strong emission scenario (RCP8.5): compared to the rural site, the number of tropical nights almost doubles while the number of summer days reveals about 15% more days at the urban site when focusing on the station couple in Zurich and the late scenario period. The lack of nighttime relief, indicated by tmin not falling below 20°C (i.e. a tropical night), is especially problematic in terms of human health and makes the study of the urban climate in general and the UHI effect in particular indispensable.</p>


2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Ana-Teresa Celada-Murillo ◽  
Susana Carreón-Sierra ◽  
Alejandro Salcido ◽  
Telma Castro ◽  
Oscar Peralta ◽  
...  

A characterization of local wind events in Mexico City, which occurred during MILAGRO campaign, was carried out within the framework of a lattice wind modeling approach at a meso-β scale. Mexico City was modeled as a 2D lattice domain with a given number of identical cells. Local wind conditions at any cell were described by a state variable defined by the spatial averages of wind attributes such as speed, direction, divergence, and vorticity. Full and partial densities of wind states were discussed under different conditions using two simple lattice wind models. We focus on the results obtained with the 1-cell lattice wind model and provide brief comments about preliminary results obtained with the 4-cell model. The 1-cell model allowed identifying the main patterns of the wind circulation in Mexico City throughout the study period (anabatic and katabatic winds, winds induced by the urban heat island, and winds with high possibilities for exchanging pollutants between Mexico City and the neighboring settlements, among others). The model showed that Mexico City wind divergence and vorticity disclose superposed oscillations whose most important periods were 24 and 12 hours, suggesting strong connections with the diurnal cycle of incoming solar radiation and the urban heat island.


2020 ◽  
Vol 21 (1) ◽  
pp. 99
Author(s):  
Dewi Miska Indrawati ◽  
Suharyadi Suharyadi ◽  
Prima Widayani

Kota Mataram adalahpusat dan ibukota dari provinsi Nusa Tenggara Barat yang tentunya menjadi pusat semua aktivitas masyarakat disekitar daerah tersebut sehingga menyebabkan peningkatan urbanisasi. Semakin meningkatnya peningkatan urbanisasi yan terjadi di perkotaan akan menyebabkan perubahan penutup lahan, dari awalnya daerah bervegetasi berubah menjadi lahan terbangun. Oleh karena itu, akan memicu peningkatan suhu dan menyebabkan adanya fenomena UHI dikota Mataram.Tujuan dari penelitian ini untuk mengetahui hubungan kerapatan vegetasi dengan kondisi suhu permukaan yang ada diwilayah penelitian dan memetakan fenomena UHI di Kota Mataram. Citra Landsat 8 OLI tahun 2018 yang digunakan terlebih dahulu dikoreksi radiometrik dan geometrik. Metode untuk memperoleh data kerapatan vegetasi menggunakan transformasi NDVI, LST menggunakan metode Split Window Algorithm (SWA) dan identifikasi fenomena urban heat island. Hasil penelitian yang diperoleh menunjukkan kerapatan vegetasi mempunyai korelasi dengan nilai LST. Hasil korelasi dari analisis pearson yang didapatkan antara kerapatan vegetasi terhadap suhu permukaan menghasilkan nilai -0,744. Fenomena UHIterjadi di pusat Kota Mataram dapat dilihat dengan adanya nilai UHI yaitu 0-100C. Semakin besar nilai UHI, semakin tinggi perbedaan LSTnya.


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