The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes

This study examined the spatiotemporal variations in extreme values of relative humidity (RH), temperature, temperature-humidity index (THI) and the effect of climatic variables on THI in the northern parts of Iran from 1986 to 2016. The THI was generated for each of the 30 meteorological stations....

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Main Authors: Karim Solaimani, Sedigheh Bararkhanpour Ahmadi, Fatemeh Shokrian
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24000864
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author Karim Solaimani
Sedigheh Bararkhanpour Ahmadi
Fatemeh Shokrian
author_facet Karim Solaimani
Sedigheh Bararkhanpour Ahmadi
Fatemeh Shokrian
author_sort Karim Solaimani
collection DOAJ
description This study examined the spatiotemporal variations in extreme values of relative humidity (RH), temperature, temperature-humidity index (THI) and the effect of climatic variables on THI in the northern parts of Iran from 1986 to 2016. The THI was generated for each of the 30 meteorological stations. Previously, trend analysis was calculated in different seasons using quantile regression. For the most part, the results indicate a declining and rising trend in RH and temperature, respectively. The highest percentage of decreasing trend slopes was for maximum RH (≤-50 %), but for maximum temperature, the highest percentage of increasing slopes in summer and winter (≥30 %) was identified on the southern coast of the Caspian Sea. However, a decreasing trend (%≤-15) was detected for the maximum temperature in autumn. The highest increasing (decreasing) trend slope of THI (30 % and −30 %) was for low values of THI in spring and winter (autumn and winter). The minimum and maximum temperatures positively affected THI in all seasons, and the value of the effect coefficient was higher in the coastal areas. Also, high values of minimum RH in the spring, summer, autumn, and winter seasons had a positive (negative) effect in 73, 100, 33, and 0 % (26, 0, 66, and 100 %) of the stations, respectively. But the maximum RH had a positive (negative) effect on 80, 100, 33, and 6 % (20, 0, 66, and 93 %) of stations, respectively. The findings of this study are generally helpful in identifying changes in weather extremes and their effects on human health.
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spelling doaj.art-1ba304d0cf56415a81bb5ee2caa1d29a2024-01-23T04:15:28ZengElsevierEcological Indicators1470-160X2024-01-01158111629The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changesKarim Solaimani0Sedigheh Bararkhanpour Ahmadi1Fatemeh Shokrian2Environmental RS & GIS Research Institute, Department of Watershed Management, Sari Agricultural Sciences and Natural Resources University, Sari, Iran; Corresponding author.Agricultural Meteorology, Department of Water Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, IranAssistant Professor, Department of Watershed Management, Sari Agricultural Sciences & Natural Resources University, Sari, IranThis study examined the spatiotemporal variations in extreme values of relative humidity (RH), temperature, temperature-humidity index (THI) and the effect of climatic variables on THI in the northern parts of Iran from 1986 to 2016. The THI was generated for each of the 30 meteorological stations. Previously, trend analysis was calculated in different seasons using quantile regression. For the most part, the results indicate a declining and rising trend in RH and temperature, respectively. The highest percentage of decreasing trend slopes was for maximum RH (≤-50 %), but for maximum temperature, the highest percentage of increasing slopes in summer and winter (≥30 %) was identified on the southern coast of the Caspian Sea. However, a decreasing trend (%≤-15) was detected for the maximum temperature in autumn. The highest increasing (decreasing) trend slope of THI (30 % and −30 %) was for low values of THI in spring and winter (autumn and winter). The minimum and maximum temperatures positively affected THI in all seasons, and the value of the effect coefficient was higher in the coastal areas. Also, high values of minimum RH in the spring, summer, autumn, and winter seasons had a positive (negative) effect in 73, 100, 33, and 0 % (26, 0, 66, and 100 %) of the stations, respectively. But the maximum RH had a positive (negative) effect on 80, 100, 33, and 6 % (20, 0, 66, and 93 %) of stations, respectively. The findings of this study are generally helpful in identifying changes in weather extremes and their effects on human health.http://www.sciencedirect.com/science/article/pii/S1470160X24000864Temperature-humidity indexTrendClimatic parametersQuantile regressionIran
spellingShingle Karim Solaimani
Sedigheh Bararkhanpour Ahmadi
Fatemeh Shokrian
The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes
Ecological Indicators
Temperature-humidity index
Trend
Climatic parameters
Quantile regression
Iran
title The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes
title_full The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes
title_fullStr The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes
title_full_unstemmed The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes
title_short The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes
title_sort spatiotemporal trend changes of extreme temperature humidity variables and their impact on climatic comfort changes
topic Temperature-humidity index
Trend
Climatic parameters
Quantile regression
Iran
url http://www.sciencedirect.com/science/article/pii/S1470160X24000864
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