Evaluation of wet and dry event’s trend and instability based on the meteorological drought index
Autor: | Alaa Mohamd Shoukry, Showkat Gani, A. Al-Dousari, Elsayed Elsherbini Elashkar, Ijaz Hussain, Muhammad Haroon Shaukat, Muhammad Faisal, Muhammad Ismail |
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Rok vydání: | 2020 |
Předmět: |
Environmental Impacts
Index (economics) 010504 meteorology & atmospheric sciences Ensemble empirical mode decomposition 0208 environmental biotechnology Soil Science lcsh:Medicine 02 engineering and technology Atmospheric sciences 01 natural sciences Instability Computational Science General Biochemistry Genetics and Molecular Biology Agricultural Science Hilbert hung transformation 0105 earth and related environmental sciences Drought Severe weather General Neuroscience Statistics lcsh:R Multi resolution analysis General Medicine 020801 environmental engineering Water resources Standardized precipitation index Environmental science Wavelet transform Multi-resolution analysis General Agricultural and Biological Sciences |
Zdroj: | PeerJ, Vol 8, p e9729 (2020) PeerJ |
ISSN: | 2167-8359 |
Popis: | A temporal imbalance in the water availability, which is consistently below average or more than average rainfall, can lead to extremely dry or wet conditions. This impacts on agricultural yields, water resources and human activities. Weather instabilities and trends of wet/dry events have not yet been explored in Pakistan. In this study, we have two-fold objectives: (1) evaluate the weather instabilities, and (2) the trend of dry/wet events of selected stations of Pakistan. To observe weather instabilities, we used Mean Marginal Hilbert Spectrum (MMHS) and Continuous Wavelet Power Spectrum (CWPS) as meteorological series are mostly non-linear and non-stationary. We used Ensemble Empirical Mode Decomposition (EEMD) for the analysis of temporal characteristics of dry/wet events. We found that all stations are facing severe weather instabilities during the short period of 5 and 10 months using MMHS method and CWPS has shown the weather instabilities during 4 to 32 months of periodicity for all stations. Ultimately, the achieved short-term weather instabilities indicated by MMHS is consistent with CWPS. In summary, these findings might be useful for water resource management and policymakers. |
Databáze: | OpenAIRE |
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