Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia
As a semi-arid Mediterranean country, Tunisia is affected by the impacts of climate change, particularly the coastal regions like the Cap-Bon. Irregular rainfall, rising temperatures and the recurrence of extreme events are all indicators that affect ecosystems and populations and make them more vul...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/19/10593 |
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| author | Basma Latrech Samir Yacoubi Taoufik Hermassi Adel Slatni Fathia Jarray Laurent Pouget |
| author_facet | Basma Latrech Samir Yacoubi Taoufik Hermassi Adel Slatni Fathia Jarray Laurent Pouget |
| author_sort | Basma Latrech |
| collection | DOAJ |
| description | As a semi-arid Mediterranean country, Tunisia is affected by the impacts of climate change, particularly the coastal regions like the Cap-Bon. Irregular rainfall, rising temperatures and the recurrence of extreme events are all indicators that affect ecosystems and populations and make them more vulnerable to the influence of climatic variables. Therefore, an analysis of the trends of climate variables can contribute to facilitating the development of effective adaptation strategies. In this matter, this study was conducted to assess the homogeneity and trends of minimum and maximum air temperature (Tmin and Tmax) and precipitation (P) in the Cap-Bon region. Daily data were collected from the meteorological station of Nabeul for the period of 1982–2020. Pettitt and SNHT tests for homogeneity were applied to identify the breakpoints in multi-time scales of Tmax, Tmin and P data series. The Mann–Kendall (MK) test was used to detect the change in the time-series trend. A modified Mann–Kendall (mMK) test was used to remove the autocorrelation effect from the data series. Both the MK and mMK tests were used at the 5% significant level. The magnitude of the climatic trend was estimated using the non-parametric Sen’s slope estimator. Contrary to Tmin and P, the results of the homogeneity tests revealed the existence of significant breakpoints in the annual, seasonal and monthly Tmax time series. For most cases, the breakpoint occurred around the year 2000. For Tmin, significant breakpoints were recorded in March and April, while a significant shift in the P time series was detected in December. The Mann–Kendall results show a significant warming trend in annual Tmax, with magnitudes equal to 0.065 and 0.045 °C/year before and after the breakpoint, respectively. Nevertheless, non-significant tendencies were observed in the annual Tmin and P time series. On the monthly time scale, Tmax exhibited a significant upward trend in June and August, before the observed breakpoints, with Sen’s slope values equal to 0.065 and 0.045 °C/year, respectively. Regarding the Tmin data, a significant positive trend was observed in July at a rate of 0.033 °C/year. |
| first_indexed | 2024-03-10T21:49:37Z |
| format | Article |
| id | doaj.art-767c87206e9842c4ab0fc93564d4e66b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T21:49:37Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-767c87206e9842c4ab0fc93564d4e66b2023-11-19T14:01:32ZengMDPI AGApplied Sciences2076-34172023-09-0113191059310.3390/app131910593Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of TunisiaBasma Latrech0Samir Yacoubi1Taoufik Hermassi2Adel Slatni3Fathia Jarray4Laurent Pouget5National Research Institute for Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BPN 10, Ariana 2080, TunisiaNational Research Institute for Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BPN 10, Ariana 2080, TunisiaNational Research Institute for Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BPN 10, Ariana 2080, TunisiaNational Research Institute for Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BPN 10, Ariana 2080, TunisiaNational Research Institute for Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BPN 10, Ariana 2080, TunisiaCETAQUA, Ctra. d’Esplugues, 75, Cornellà de Llobregat, 08940 Barcelona, SpainAs a semi-arid Mediterranean country, Tunisia is affected by the impacts of climate change, particularly the coastal regions like the Cap-Bon. Irregular rainfall, rising temperatures and the recurrence of extreme events are all indicators that affect ecosystems and populations and make them more vulnerable to the influence of climatic variables. Therefore, an analysis of the trends of climate variables can contribute to facilitating the development of effective adaptation strategies. In this matter, this study was conducted to assess the homogeneity and trends of minimum and maximum air temperature (Tmin and Tmax) and precipitation (P) in the Cap-Bon region. Daily data were collected from the meteorological station of Nabeul for the period of 1982–2020. Pettitt and SNHT tests for homogeneity were applied to identify the breakpoints in multi-time scales of Tmax, Tmin and P data series. The Mann–Kendall (MK) test was used to detect the change in the time-series trend. A modified Mann–Kendall (mMK) test was used to remove the autocorrelation effect from the data series. Both the MK and mMK tests were used at the 5% significant level. The magnitude of the climatic trend was estimated using the non-parametric Sen’s slope estimator. Contrary to Tmin and P, the results of the homogeneity tests revealed the existence of significant breakpoints in the annual, seasonal and monthly Tmax time series. For most cases, the breakpoint occurred around the year 2000. For Tmin, significant breakpoints were recorded in March and April, while a significant shift in the P time series was detected in December. The Mann–Kendall results show a significant warming trend in annual Tmax, with magnitudes equal to 0.065 and 0.045 °C/year before and after the breakpoint, respectively. Nevertheless, non-significant tendencies were observed in the annual Tmin and P time series. On the monthly time scale, Tmax exhibited a significant upward trend in June and August, before the observed breakpoints, with Sen’s slope values equal to 0.065 and 0.045 °C/year, respectively. Regarding the Tmin data, a significant positive trend was observed in July at a rate of 0.033 °C/year.https://www.mdpi.com/2076-3417/13/19/10593homogeneity teststrend analysisSen’s slope estimatorclimatic variablesserial correlation |
| spellingShingle | Basma Latrech Samir Yacoubi Taoufik Hermassi Adel Slatni Fathia Jarray Laurent Pouget Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia Applied Sciences homogeneity tests trend analysis Sen’s slope estimator climatic variables serial correlation |
| title | Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia |
| title_full | Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia |
| title_fullStr | Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia |
| title_full_unstemmed | Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia |
| title_short | Homogeneity and Trend Analysis of Climatic Variables in Cap-Bon Region of Tunisia |
| title_sort | homogeneity and trend analysis of climatic variables in cap bon region of tunisia |
| topic | homogeneity tests trend analysis Sen’s slope estimator climatic variables serial correlation |
| url | https://www.mdpi.com/2076-3417/13/19/10593 |
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