A comparative study of urban heat island effects in two Belarusian cities from satellite and ground-based observations

This study is devoted to analysis of urban development effects on surface thermal characteristics for the case of Belarusian cities of Minsk and Mahilo&#365;. Both cities being situated on the same latitude (53.90 N) and not far from each other (~180 km distance), while also sharing a number of similar features typical for cities in Belarus (and in some other former Eastern Bloc countries as well), Minsk and Mahilo&#365; nevertheless differ significantly in terms of their population, size and structure. It is therefore of interest to perform urban climate studies for these two cities in parallel.First, we use geoinformation systems (QGIS), centralized city planning databases and Open Street Maps (OSM) vector data to implement description of Minsk and Mahilo&#365; urban territories in terms of functional zones, taking into account such features as buildings density and urban area category (industrial, residential, business, recreational and other types).Furthermore, we perform analysis of surface temperature fields for both cities from satellite data (Landsat-8) and ground-based observations, the latter including both regular meteorological stations (in urban as well as surrounding rural areas) and a volunteer network of weather and air quality sensors distributed in both cities as part of the AirMQ project [1]. We analyze observations for several months in the 2019-2021 period (depending on data availability), paying special attention to days with specific weather conditions (e.g. blocking anticyclones).Analysis demonstrates clear evidence of significant urban heat island effects in thermal regimes of both cities, with specific areas of increased temperature related to urban zoning, industrial and green areas, buildings heights and density. However, the selected method of surface urban heat island (SUHI) detection turns out to be somewhat limited for the purposes of studying the effects of blocking anticyclones on urban heat island phenomena development, thereby calling for application of atmospheric numerical modelling techniques.[1] AirMQ project, URL: https://airmq.by/

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Comparasion of NDBI and NDVI as Indicators of Surface Urban Heat Island Effect in Landsat 8 Imagery: A Case Study of Iasi

Present Environment and Sustainable Development ◽

10.1515/pesd-2017-0032 ◽

2017 ◽

Vol 11 (2) ◽

pp. 141-150 ◽

Cited By ~ 7

Author(s):

Paul Macarof ◽

Florian Statescu

Keyword(s):

Urban Heat Island ◽

Rural Areas ◽

Land Surface ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Landsat 8 ◽

Heat Island ◽

Sensing Technology ◽

Urban Heat ◽

Surface Urban Heat Island

Abstract This study compares the normalized difference built-up index (NDBI) and normalized difference vegetation index (NDVI) as indicators of surface urban heat island effects in Landsat-8 OLI imagery by investigating the relationships between the land surface temperature (LST), NDBI and NDVI. The urban heat island (UHI) represents the phenomenon of higher atmospheric and surface temperatures occurring in urban area or metropolitan area than in the surrounding rural areas due to urbanization. With the development of remote sensing technology, it has become an important approach to urban heat island research. Landsat data were used to estimate the LST, NDBI and NDVI from four seasons for Iasi municipality area. This paper indicates than there is a strong linear relationship between LST and NDBI, whereas the relationship between LST and NDVI varies by season. This paper suggests, NDBI is an accurate indicator of surface UHI effects and can be used as a complementary metric to the traditionally applied NDVI.

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Analisis Pengaruh Kerapatan Vegetasi Terhadap Suhu Permukaan dan Keterkaitannya Dengan Fenomena UHI

Media Komunikasi Geografi ◽

10.23887/mkg.v21i1.24429 ◽

2020 ◽

Vol 21 (1) ◽

pp. 99

Author(s):

Dewi Miska Indrawati ◽

Suharyadi Suharyadi ◽

Prima Widayani

Keyword(s):

Urban Heat Island ◽

Landsat 8 ◽

Heat Island ◽

Landsat 8 Oli ◽

Urban Heat ◽

Split Window Algorithm

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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The Impact of the Urban Heat Island during an Intense Heat Wave in Oklahoma City

Advances in Meteorology ◽

10.1155/2010/230365 ◽

2010 ◽

Vol 2010 ◽

pp. 1-10 ◽

Cited By ~ 78

Author(s):

Jeffrey B. Basara ◽

Heather G. Basara ◽

Bradley G. Illston ◽

Kenneth C. Crawford

Keyword(s):

Urban Heat Island ◽

Heat Wave ◽

Rural Areas ◽

Oklahoma City ◽

Apparent Temperature ◽

Heat Island ◽

Atmospheric Conditions ◽

Urban Heat ◽

The Impact ◽

Intense Heat

During late July and early August 2008, an intense heat wave occurred in Oklahoma City. To quantify the impact of the urban heat island (UHI) in Oklahoma City on observed and apparent temperature conditions during the heat wave event, this study used observations from 46 locations in and around Oklahoma City. The methodology utilized composite values of atmospheric conditions for three primary categories defined by population and general land use: rural, suburban, and urban. The results of the analyses demonstrated that a consistent UHI existed during the study period whereby the composite temperature values within the urban core were approximately C warmer during the day than the rural areas and over C warmer at night. Further, when the warmer temperatures were combined with ambient humidity conditions, the composite values consistently revealed even warmer heat-related variables within the urban environment as compared with the rural zone.

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A REVIEW OF MATERIAL COVER FEATURES FOR MITIGATING URBAN HEAT ISLAND

International Journal on Livable Space ◽

10.25105/livas.v3i2.3196 ◽

2018 ◽

Vol 3 (2) ◽

pp. 71

Author(s):

Sri Novianthi Pratiwi

Keyword(s):

Urban Heat Island ◽

Thermal Characteristics ◽

Material Surface ◽

Heat Island ◽

Cool Roof ◽

Urban Heat ◽

Material Feature ◽

High Level ◽

Near Future ◽

Lower Capacity

AbstractUrban Heat Island (UHI) is related to the increase of urban compared to rural temperature as the result of global phenomenon. The increase of temperature is predicted to be intensified along with the extend of urban activity in the near future. Therefore, the discussion on UHI becomes significance. This paper discusses the result of literature studies on thermal characteristics of materials that potentially used to reduce Urban Heat Island, especially in utilizing pavement and roof cover. The result of the study concludes that the reduction of UHI is determined by: 1) the high-level albedo (the ratio between the reflected heat and the absorbed heat) of material that is influenced by the color and texture of its surface; 2) The high level thermal emittance of material; 3) The lower capacity of material to store the heat. 4) The capability thermal conductivity of material surface. Recommended pavements to reduce UHI are cool pavement, reflective pavement, porous pavers, permeable pavers, pervious pavement, water retaining pavement. Roof cover materials that reduce Urban Heat Island are Cool Roof and Green Roof. The design and toughness of materials should be considered to reduce UHI. Keywords: Urban Heat Island, material feature, thermal performance.

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Mitigating the Urban Heat Island Effect in Megacity Tehran

Advances in Meteorology ◽

10.1155/2014/547974 ◽

2014 ◽

Vol 2014 ◽

pp. 1-19 ◽

Cited By ~ 35

Author(s):

Sahar Sodoudi ◽

Parisa Shahmohamadi ◽

Ken Vollack ◽

Ulrich Cubasch ◽

A. I. Che-Ani

Keyword(s):

Urban Heat Island ◽

Rural Areas ◽

Heat Waves ◽

Mitigation Strategies ◽

Cooling Effect ◽

Heat Island ◽

Microscale Model ◽

Negative Effect ◽

Urban Heat ◽

Surrounding Areas

Cities demonstrate higher nocturnal temperatures than surrounding rural areas, which is called “urban heat island” (UHI) effect. Climate change projections also indicate increase in the frequency and intensity of heat waves, which will intensify the UHI effect. As megacity Tehran is affected by severe heatwaves in summer, this study investigates its UHI characteristics and suggests some feasible mitigation strategies in order to reduce the air temperature and save energy. Temperature monitoring in Tehran shows clear evidence of the occurrence of the UHI effect, with a peak in July, where the urban area is circa 6 K warmer than the surrounding areas. The mobile measurements show a park cool island of 6-7 K in 2 central parks, which is also confirmed by satellite images. The effectiveness of three UHI mitigation strategies high albedo material (HAM), greenery on the surface and on the roofs (VEG), and a combination of them (HYBRID) has been studied using simulation with the microscale model ENVI-met. All three strategies show higher cooling effect in the daytime. The average nocturnal cooling effect of VEG and HYBRID (0.92, 1.10 K) is much higher than HAM (0.16 K), although high-density trees show a negative effect on nocturnal cooling.

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Assessment of monthly variations of urban heat island in Delhi using Landsat 8 dataset

Remote Sensing Technologies and Applications in Urban Environments III ◽

10.1117/12.2324740 ◽

2018 ◽

Author(s):

Srishti Solanki ◽

J. K. Garg

Keyword(s):

Urban Heat Island ◽

Landsat 8 ◽

Heat Island ◽

Urban Heat ◽

Monthly Variations

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Greening in Rural Areas Increases the Surface Urban Heat Island Intensity

Geophysical Research Letters ◽

10.1029/2018gl081816 ◽

2019 ◽

Vol 46 (4) ◽

pp. 2204-2212 ◽

Cited By ~ 40

Author(s):

Rui Yao ◽

Lunche Wang ◽

Xin Huang ◽

Wei Gong ◽

Xiangao Xia

Keyword(s):

Urban Heat Island ◽

Rural Areas ◽

Urban Heat Island Intensity ◽

Heat Island ◽

Urban Heat ◽

Surface Urban Heat Island

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Utilization of thermal bands of Landsat 8 data and geographic information system for analysis of urban heat island in Baghdad governorate 2016

MATEC Web of Conferences ◽

10.1051/matecconf/201816203026 ◽

2018 ◽

Vol 162 ◽

pp. 03026 ◽

Cited By ~ 1

Author(s):

Alaa Khalaf

Keyword(s):

Information System ◽

Geographic Information System ◽

Urban Heat Island ◽

Water Body ◽

Geographic Information ◽

Landsat 8 ◽

Heat Island ◽

Green Area ◽

Bare Land ◽

Urban Heat

This study aimed to determine Urban Heat Island in Baghdad Governorate capital of Iraq by thermal bands of Landsat 8 images and Geographic Information System. Two cloud free Landsat 8 scenes covering the study area were selected for analysis. These scenes were located at path 168/37 and path 169/37. Images were acquired during daytime at 10:33 AM and it were dated August 19, 2016 and August 26, 2016, respectively. All images mentioned above were registered in Universal Transverse Mercator projection zone 38. Temperatures have been extracted from thermal bands 10 and 11 for each scene and then these results have been merged by mosaic process to produce one scene for band 10 and band 11. Finally, urban heat island has been extracted for study area by taking the average temperatures of band 10 and band 11. The final results shown that Baghdad Governorate contains four heat islands: water body, built-up area, green area, and bare land area. The Heat Island of bare land was highest, followed by green area, built-up area and water body. The highest summer daytime Heat Island was found on bare land (57°C), followed by green area (45 °C),built-up area (43 °C), and water body (37 °C).

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