Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach
Climate change and recurrent extreme climatic events have intensified the vulnerability of water-stressed regions like Tunisia to droughts, severely impact agriculture, the economy, and society. This study analyzes hydro-meteorological drought patterns using the Gravity Recovery and Climate Experime...
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Elsevier
2025-03-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225000573 |
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| author | Olfa Terwayet Bayouli Wanchang Zhang Houssem Terwayet Bayouli Zhijie Zhang Qianying Ma |
| author_facet | Olfa Terwayet Bayouli Wanchang Zhang Houssem Terwayet Bayouli Zhijie Zhang Qianying Ma |
| author_sort | Olfa Terwayet Bayouli |
| collection | DOAJ |
| description | Climate change and recurrent extreme climatic events have intensified the vulnerability of water-stressed regions like Tunisia to droughts, severely impact agriculture, the economy, and society. This study analyzes hydro-meteorological drought patterns using the Gravity Recovery and Climate Experiment (GRACE) satellite-derived Groundwater Drought Index (GGDI), alongside traditional indices, including Standardized Precipitation Index (SPI), Standardized Precipitation-Evapotranspiration Index (SPEI), and Standardized Runoff Index (SRI). A stochastic analysis of monthly SPEI-GGDI values was conducted using a first-order Markov chain model, to investigate regional drought hazards formation, persistence, and evolution. Pearson’s correlation coefficient and wavelet coherence were applied to evaluate interactions among indices and their teleconnections with large-scale climate patterns. Results reveal persistent droughts, with extreme events exhibiting high stability and low recovery probabilities. The most severe groundwater drought occurred in 2014–2015, averaging a GGDI value of −1.36, while 2002–2003 was the driest based on SPEI, SPI, and SRI, averaging −1.9. Correlation analysis highlights complex interactions between meteorological and hydrological droughts, with GDDI-identified droughts exhibit greater severity in frequency, intensity, and duration, indicating significant anthropogenic influence. El Niño-Southern Oscillation (ENSO) significantly influenced drought evolution, with intense negative phases exacerbating severity. This study highlights the potential of GRACE satellite data for integrated drought monitoring and provides novel insights for developing sustainable drought management strategies in Tunisia. |
| format | Article |
| id | doaj-art-75b64effc40b4f99a835a20dc2e3b9e4 |
| institution | OA Journals |
| issn | 1569-8432 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-75b64effc40b4f99a835a20dc2e3b9e42025-08-20T01:57:36ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322025-03-0113710441010.1016/j.jag.2025.104410Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approachOlfa Terwayet Bayouli0Wanchang Zhang1Houssem Terwayet Bayouli2Zhijie Zhang3Qianying Ma4Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaNational Agronomic Institute of Tunisia (INAT), Tunis 1082, TunisiaDepartment of Environment and Society, Quinney College of Natural Resources, Utah State University, Logan, UT 84322, USA; Corresponding author.School of Earth Sciences and Geomatics Engineering, Taiyuan University of Technology, Shanxi 030024, ChinaClimate change and recurrent extreme climatic events have intensified the vulnerability of water-stressed regions like Tunisia to droughts, severely impact agriculture, the economy, and society. This study analyzes hydro-meteorological drought patterns using the Gravity Recovery and Climate Experiment (GRACE) satellite-derived Groundwater Drought Index (GGDI), alongside traditional indices, including Standardized Precipitation Index (SPI), Standardized Precipitation-Evapotranspiration Index (SPEI), and Standardized Runoff Index (SRI). A stochastic analysis of monthly SPEI-GGDI values was conducted using a first-order Markov chain model, to investigate regional drought hazards formation, persistence, and evolution. Pearson’s correlation coefficient and wavelet coherence were applied to evaluate interactions among indices and their teleconnections with large-scale climate patterns. Results reveal persistent droughts, with extreme events exhibiting high stability and low recovery probabilities. The most severe groundwater drought occurred in 2014–2015, averaging a GGDI value of −1.36, while 2002–2003 was the driest based on SPEI, SPI, and SRI, averaging −1.9. Correlation analysis highlights complex interactions between meteorological and hydrological droughts, with GDDI-identified droughts exhibit greater severity in frequency, intensity, and duration, indicating significant anthropogenic influence. El Niño-Southern Oscillation (ENSO) significantly influenced drought evolution, with intense negative phases exacerbating severity. This study highlights the potential of GRACE satellite data for integrated drought monitoring and provides novel insights for developing sustainable drought management strategies in Tunisia.http://www.sciencedirect.com/science/article/pii/S1569843225000573DroughtTeleconnectionsWavelet CoherenceGRACE gravity satelliteTunisia |
| spellingShingle | Olfa Terwayet Bayouli Wanchang Zhang Houssem Terwayet Bayouli Zhijie Zhang Qianying Ma Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach International Journal of Applied Earth Observations and Geoinformation Drought Teleconnections Wavelet Coherence GRACE gravity satellite Tunisia |
| title | Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach |
| title_full | Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach |
| title_fullStr | Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach |
| title_full_unstemmed | Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach |
| title_short | Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach |
| title_sort | grace based assessment of hydrometeorological droughts and their possible teleconnection mechanisms using wavelet based quantitative approach |
| topic | Drought Teleconnections Wavelet Coherence GRACE gravity satellite Tunisia |
| url | http://www.sciencedirect.com/science/article/pii/S1569843225000573 |
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