Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh
This study attempts to investigate the climatic variability in the southwestern area of Bangladesh focusing on temperature and precipitation extremes. Long-term daily records of temperature and precipitation from six weather stations spread over the study area were analyzed. A total of 20 yearly ind...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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World Scientific Publishing Co. Pte Ltd.
2022-12-01
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| Series: | Chinese Journal of Urban and Environmental Studies |
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| Online Access: | https://www.worldscientific.com/doi/10.1142/S2345748122500233 |
| _version_ | 1797672144401858560 |
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| author | Tasnima SHIRIN Tithi SAHA Md. Hasibur RAHAMAN Md. Arif CHOWDHURY Ehsanul BARI Tusar Kumar DAS Mohammad Mahfuzur RAHMAN |
| author_facet | Tasnima SHIRIN Tithi SAHA Md. Hasibur RAHAMAN Md. Arif CHOWDHURY Ehsanul BARI Tusar Kumar DAS Mohammad Mahfuzur RAHMAN |
| author_sort | Tasnima SHIRIN |
| collection | DOAJ |
| description | This study attempts to investigate the climatic variability in the southwestern area of Bangladesh focusing on temperature and precipitation extremes. Long-term daily records of temperature and precipitation from six weather stations spread over the study area were analyzed. A total of 20 yearly indices were calculated and testified for the trends with the Mann–Kendal test and Sen’s estimator of slope at a 95% confidence interval. Moreover, one-way ANOVA and Tukey–Kramer post-hoc tests were applied to verify the spatial heterogeneity of the climatic indices among the meteorological stations. Findings revealed that Khulna is the worst affected area with significant changes in 12 climatic indices. Jessore and Faridpur followed Khulna with significant changes in 10 and 9 indices, respectively. Among the indices, significant changes in TN10p (frequencies of daily minimum temperature event that falls below the 10th percentile value), TX10p (frequencies of daily maximum temperature event that falls beyond the 10th percentile value), CSDI (cold spell duration indicator), and CDD (consecutive dry day) are the most common phenomenon in the studied region. Five out of six stations have been experiencing significant increasing trends for TN10p. That indicates an overall increase of extreme cold day frequencies in the area. Khulna station showed shreds of evidence of extreme cold temperature instances with a statistically significant fall in the minimum value of the yearly minimum temperatures (TNn). Besides, Khulna also experienced a statistically significant fall in the minimum value of the yearly maximum temperatures. Consistently, the area showed a significant trend of wider cold spells. Similarly, the extremely warm day frequencies have also been increasing significantly for the Khulna, Jessore, and Faridpur areas. Therefore, it is evident that the studied area has been experiencing temperature extremes. On the other hand, precipitation extremes are apparent for only Khulna and Jessore. Both these stations showed increasing trends in heavy precipitation events and wet spells (consecutive precipitation days). ANOVA outcome suggests that the study area has significant spatial heterogeneity in climatic indices. Precipitation indices show high spatial heterogeneity than those of temperature. Among the meteorological stations, Mongla and Ishwardi show the maximum departure than those of others. This study may help policy-makers, researchers, and academicians to take proper initiatives to reduce the impacts of changing climatic parameters in the coastal areas of Bangladesh. |
| first_indexed | 2024-03-11T21:25:53Z |
| format | Article |
| id | doaj.art-5ca5caade3204de2b6cc9a541fa096ff |
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| issn | 2345-7481 2345-752X |
| language | English |
| last_indexed | 2024-03-11T21:25:53Z |
| publishDate | 2022-12-01 |
| publisher | World Scientific Publishing Co. Pte Ltd. |
| record_format | Article |
| series | Chinese Journal of Urban and Environmental Studies |
| spelling | doaj.art-5ca5caade3204de2b6cc9a541fa096ff2023-09-28T03:55:36ZengWorld Scientific Publishing Co. Pte Ltd.Chinese Journal of Urban and Environmental Studies2345-74812345-752X2022-12-01100410.1142/S2345748122500233Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of BangladeshTasnima SHIRIN0Tithi SAHA1Md. Hasibur RAHAMAN2Md. Arif CHOWDHURY3Ehsanul BARI4Tusar Kumar DAS5Mohammad Mahfuzur RAHMAN6Department of Botany, Eden Mohila College, National University, Dhaka 1205, BangladeshDepartment of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, BangladeshDepartment of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, BangladeshDepartment of Climate and Disaster Management, Jashore University of Science and Technology, Jashore 7408, BangladeshDepartment of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, BangladeshDepartment of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, BangladeshDepartment of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, BangladeshThis study attempts to investigate the climatic variability in the southwestern area of Bangladesh focusing on temperature and precipitation extremes. Long-term daily records of temperature and precipitation from six weather stations spread over the study area were analyzed. A total of 20 yearly indices were calculated and testified for the trends with the Mann–Kendal test and Sen’s estimator of slope at a 95% confidence interval. Moreover, one-way ANOVA and Tukey–Kramer post-hoc tests were applied to verify the spatial heterogeneity of the climatic indices among the meteorological stations. Findings revealed that Khulna is the worst affected area with significant changes in 12 climatic indices. Jessore and Faridpur followed Khulna with significant changes in 10 and 9 indices, respectively. Among the indices, significant changes in TN10p (frequencies of daily minimum temperature event that falls below the 10th percentile value), TX10p (frequencies of daily maximum temperature event that falls beyond the 10th percentile value), CSDI (cold spell duration indicator), and CDD (consecutive dry day) are the most common phenomenon in the studied region. Five out of six stations have been experiencing significant increasing trends for TN10p. That indicates an overall increase of extreme cold day frequencies in the area. Khulna station showed shreds of evidence of extreme cold temperature instances with a statistically significant fall in the minimum value of the yearly minimum temperatures (TNn). Besides, Khulna also experienced a statistically significant fall in the minimum value of the yearly maximum temperatures. Consistently, the area showed a significant trend of wider cold spells. Similarly, the extremely warm day frequencies have also been increasing significantly for the Khulna, Jessore, and Faridpur areas. Therefore, it is evident that the studied area has been experiencing temperature extremes. On the other hand, precipitation extremes are apparent for only Khulna and Jessore. Both these stations showed increasing trends in heavy precipitation events and wet spells (consecutive precipitation days). ANOVA outcome suggests that the study area has significant spatial heterogeneity in climatic indices. Precipitation indices show high spatial heterogeneity than those of temperature. Among the meteorological stations, Mongla and Ishwardi show the maximum departure than those of others. This study may help policy-makers, researchers, and academicians to take proper initiatives to reduce the impacts of changing climatic parameters in the coastal areas of Bangladesh.https://www.worldscientific.com/doi/10.1142/S2345748122500233Climatic indicesclimate extremesclimate changeBangladeshtrend analysis |
| spellingShingle | Tasnima SHIRIN Tithi SAHA Md. Hasibur RAHAMAN Md. Arif CHOWDHURY Ehsanul BARI Tusar Kumar DAS Mohammad Mahfuzur RAHMAN Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh Chinese Journal of Urban and Environmental Studies Climatic indices climate extremes climate change Bangladesh trend analysis |
| title | Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh |
| title_full | Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh |
| title_fullStr | Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh |
| title_full_unstemmed | Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh |
| title_short | Trends and Spatial Heterogeneity of Climate Extremes in the Southwestern Region of Bangladesh |
| title_sort | trends and spatial heterogeneity of climate extremes in the southwestern region of bangladesh |
| topic | Climatic indices climate extremes climate change Bangladesh trend analysis |
| url | https://www.worldscientific.com/doi/10.1142/S2345748122500233 |
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