Satellite-measured growth of the urban heat island of Houston, Texas

Streutker, David R.

doi:10.1016/s0034-4257(03)00007-5

Cited by 481 publications

(242 citation statements)

References 18 publications

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“…This, according to Givoni (1998) that some of the results of the study in the subtropical region, that UHII can reach 3 to 5°C during the day and 8 to 10°C at night. Similar to the findings Streutker (2003) in Houston, Texas (USA); and Svensson and Eliasson (2002) in the city of Gothenburg; and Zeng et al (2009) in Nanjing. This study uses satellite data, for the entire period of 13 years (1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999) he received an increase in temperature during the day reaches 0 to 8°C.…”

Section: Discussionsupporting

confidence: 84%

Analysis of The Heat Island Phenomenon in Makassar, South Sulawesi, Indonesia

Maru

Baharuddin

Umar

et al. 2015

American Journal of Applied Sciences

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Urban Heat Island phenomenon (UHI) is one of the city microclimate phenomenon that mostly hit many big cities in the World, including Makassar, Indonesia. Therefore, this study aimed to analyze the phenomenon of UHI and UHII in Makassar and the surrounding areas. The method used in this study is the analysis of primary data through measurements taken directly to the varied station locations. The measurements are determined by purposive sampling toward the variety of different land uses. The measurements were taken at 11:00 am until 1:00 pm Central Indonesian Time (WITA) and at night from 09.00 to 11.00 pm. The results showed that the mean temperature was 31.29°C during the day and 27.4°C at night. Spatially, the day time showed that the high temperatures (32 to 35°C) are generally located in the downtown areas which are crowded with buildings such as residential, offices and shops. Meanwhile, a lower temperature (29 to 31°C) is generally located in countrysides or outside the city in the form of green areas and open land. The results show that a fairly high temperature causes the comfort of the city the temperatures reduced. Therefore, handle UHI phenomenon needs to be done in an integrated and sustainable.

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Section: Discussionsupporting

confidence: 84%

Analysis of The Heat Island Phenomenon in Makassar, South Sulawesi, Indonesia

Maru

Baharuddin

Umar

et al. 2015

American Journal of Applied Sciences

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“…Apparently, the estimation of UHI intensity is sensitive to methodology. For different countries and regions, the land use change, especially urbanization, effect on the intensity of the UHI effect is estimated to be 0.11 C=year-0.91 C=year (Karl et al, 1988;Wang et al, 1990;Streutker, 2003). We do not assess the effect of UHI on temperature trend series warming as do many studies such as Kalnay and Cai (2003), Zhou et al (2004), Li et al (2004).…”

Section: Discussionmentioning

confidence: 99%

“…It can be assessed in several ways: measuring the UHI by comparing present to earlier pre-urban conditions (Lowry, 1977), measuring the UHI through the urban-torural temperature difference (Lowry, 1977;Karl et al, 1988); and measuring the UHI in terms of surface (or skin) temperature through the use of airborne or satellite remote sensing (Roth et al, 1989;Gallo and Tarpley, 1996;Streutker, 2003). The selection of the most appropriate method depends mainly on the observed data available.…”

Section: Introductionmentioning

confidence: 99%

Assessing the effect of land use/land cover change on the change of urban heat island intensity

Liu

Zhuang

et al. 2007

Theor. Appl. Climatol.

128

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SummaryDue to rapid economic development, China has experienced one of the greatest rates of change in land use=land cover during the last two decades. This change is mainly urban expansion and cultivated land reduction in urban growth regions, both of which play an important role in regional climate change. In this paper, the variation of the urban heat island (UHI) caused by urbanization has been evaluated with an analysis of land use change in China. First, meteorological observation stations were grouped by different land cover types (dry land, paddy field, forest, grassland, water field, urban, rural inhabitable area, industrial and mineral land, and waste land) throughout China. These stations were subdivided into urban and non-urban classes. Then, a new method was proposed to determine the UHI intensity from the difference between the observed and the interpolated air temperature of urban type weather stations. The results indicate that the trends of UHI intensity in different land use change regions are spatially correlated with regional land use and its change pattern. During 1991-2000, the estimated UHI intensity has increased by 0.11 C per decade in the spring and has fluctuated in other seasons throughout China resulting from land use change.

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“…Then, NDVI function in ENVI 4.7 software and eventually IsoData function along with unsupervised classification were employed (38)(39)(40). To determine building density in Yazd, Landsat heat infrared data of TM (Landsat), ETM+, and ASTER with respect to spatial power of 90, 60, and 120 to extract the ground level temperature and make a more accurate study of urban heat islands that develop in urban regions (41,42). Building density was determined by heat sensor using the Landsat archive (L8 OLI/TIRS) 8 sensor.…”

Section: The Utilized Mdco Samplermentioning

confidence: 99%

Investigation of chemical characteristics and spatiotemporal quantitative changes of dust fall using GIS and RS technologies; a case study, Yazd city, central plateau of Iran

Azimzadeh

Fallahzadeh

Ghaneian

et al. 2017

Environ Health Eng Manag

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Background: The phenomenon of dust is a serious environmental problem in dry and semi dry regions. It has a destructive effect for the residents of such regions. Over two-thirds of Iran is in areas of dry and semi-dry climate conditions. Methods: In this research, dust fall measurements were taken in 41 stations across Yazd city using a marble dust collector (MDCO) located in different parts of the city. Next, the chemical characteristics of dust were determined using the XRF method. Finally, levels of dust fall across the 4 seasons of the year and status of the constituent elements of dust were determined through ArcGIS software and the Kriging technique. The Raster calculator function was used to make determinations of the effects of dust fall at each of the stations over the course of the year. Remote sensing system, along with maps taken from Landsat and the band combination technique were processed using ENVI software to extract vegetation density and building density maps of the studied region. Results: Results showed that spring had the highest level of dust fall with a value of 200 g/cm 2 . In total, in 109 km 2 of the studied region had average dust fall of 110 g/m 2 that contributed to 12 057 tons of dust over Yazd city in 2015. The constituent elements of the dust fall according to decreasing amounts were as follows: Si>Ca>Al>C>Mg>Fe>K>Na>S>Ti>Cl>P>Mn>Sr>Zn. Conclusion: These results indicate accuracy of the Kriging technique for application in dust zoning. The factors of vegetation and green space were determined as effective on adsorbing dust. Increased building density and height of buildings also contributed to development of dust fall.

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Satellite-measured growth of the urban heat island of Houston, Texas

Cited by 481 publications

References 18 publications

Analysis of The Heat Island Phenomenon in Makassar, South Sulawesi, Indonesia

Analysis of The Heat Island Phenomenon in Makassar, South Sulawesi, Indonesia

Assessing the effect of land use/land cover change on the change of urban heat island intensity

Investigation of chemical characteristics and spatiotemporal quantitative changes of dust fall using GIS and RS technologies; a case study, Yazd city, central plateau of Iran

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