On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures
The changing climate has introduced new and unique challenges and threats to humans and their environment. Urban dwellers in particular have suffered from increased levels of heat stress, and the situation is predicted to continue to worsen in the future. Attention toward urban climate change adapta...
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MDPI AG
2021-02-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/13/4/640 |
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author | Sadroddin Alavipanah Dagmar Haase Mohsen Makki Mir Muhammad Nizamani Salman Qureshi |
author_facet | Sadroddin Alavipanah Dagmar Haase Mohsen Makki Mir Muhammad Nizamani Salman Qureshi |
author_sort | Sadroddin Alavipanah |
collection | DOAJ |
description | The changing climate has introduced new and unique challenges and threats to humans and their environment. Urban dwellers in particular have suffered from increased levels of heat stress, and the situation is predicted to continue to worsen in the future. Attention toward urban climate change adaptation has increased more than ever before, but previous studies have focused on indoor and outdoor temperature patterns separately. The objective of this research is to assess the indoor and outdoor temperature patterns of different urban settlements. Remote sensing data, together with air temperature data collected with temperature data loggers, were used to analyze land surface temperature (outdoor temperature) and air temperature (indoor temperature). A hot and cold spot analysis was performed to identify the statistically significant clusters of high and low temperature data. The results showed a distinct temperature pattern across different residential units. Districts with dense urban settlements show a warmer outdoor temperature than do more sparsely developed districts. Dense urban settlements show cooler indoor temperatures during the day and night, while newly built districts show cooler outdoor temperatures during the warm season. Understanding indoor and outdoor temperature patterns simultaneously could help to better identify districts that are vulnerable to heat stress in each city. Recognizing vulnerable districts could minimize the impact of heat stress on inhabitants. |
first_indexed | 2024-03-09T04:48:31Z |
format | Article |
id | doaj.art-0f08bb883b474b25848e7fc38d9c8779 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T04:48:31Z |
publishDate | 2021-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-0f08bb883b474b25848e7fc38d9c87792023-12-03T13:12:18ZengMDPI AGRemote Sensing2072-42922021-02-0113464010.3390/rs13040640On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor TemperaturesSadroddin Alavipanah0Dagmar Haase1Mohsen Makki2Mir Muhammad Nizamani3Salman Qureshi4Institute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, GermanyInstitute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, GermanyInstitute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, GermanyHainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, School of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, ChinaInstitute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, GermanyThe changing climate has introduced new and unique challenges and threats to humans and their environment. Urban dwellers in particular have suffered from increased levels of heat stress, and the situation is predicted to continue to worsen in the future. Attention toward urban climate change adaptation has increased more than ever before, but previous studies have focused on indoor and outdoor temperature patterns separately. The objective of this research is to assess the indoor and outdoor temperature patterns of different urban settlements. Remote sensing data, together with air temperature data collected with temperature data loggers, were used to analyze land surface temperature (outdoor temperature) and air temperature (indoor temperature). A hot and cold spot analysis was performed to identify the statistically significant clusters of high and low temperature data. The results showed a distinct temperature pattern across different residential units. Districts with dense urban settlements show a warmer outdoor temperature than do more sparsely developed districts. Dense urban settlements show cooler indoor temperatures during the day and night, while newly built districts show cooler outdoor temperatures during the warm season. Understanding indoor and outdoor temperature patterns simultaneously could help to better identify districts that are vulnerable to heat stress in each city. Recognizing vulnerable districts could minimize the impact of heat stress on inhabitants.https://www.mdpi.com/2072-4292/13/4/640urban ecologyurban ecosystemstemperature data loggerspatial analysishot spot and cold spotmicroclimate |
spellingShingle | Sadroddin Alavipanah Dagmar Haase Mohsen Makki Mir Muhammad Nizamani Salman Qureshi On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures Remote Sensing urban ecology urban ecosystems temperature data logger spatial analysis hot spot and cold spot microclimate |
title | On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures |
title_full | On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures |
title_fullStr | On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures |
title_full_unstemmed | On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures |
title_short | On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures |
title_sort | on the spatial patterns of urban thermal conditions using indoor and outdoor temperatures |
topic | urban ecology urban ecosystems temperature data logger spatial analysis hot spot and cold spot microclimate |
url | https://www.mdpi.com/2072-4292/13/4/640 |
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