Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/57889
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tanrikulu, Ahmet | - |
dc.contributor.author | Guner, Ulker | - |
dc.contributor.author | Bahar, Ersin | - |
dc.date.accessioned | 2024-09-30T15:26:34Z | - |
dc.date.available | 2024-09-30T15:26:34Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 2073-4433 | - |
dc.identifier.uri | https://doi.org/10.3390/atmos15081001 | - |
dc.identifier.uri | https://hdl.handle.net/11499/57889 | - |
dc.description.abstract | This study analyzes drought conditions in the Aegean region using monthly precipitation data from nine stations between 1972 and 2020. The Standardized Precipitation Index (SPI) was calculated for 1-, 3-, 6-, 9-, and 12-month periods to evaluate drought conditions at different timescales and station-specific conditions. The results indicate that short-term droughts are more frequent but shorter in duration, while longer periods exhibit fewer but more prolonged droughts. The relative frequency of drought across all periods ranges between 9% and 27%. The & Idot;zmir and Denizli stations were highlighted due to their representation of coastal and inner regions, respectively. The findings show that coastal stations, like & Idot;zmir, experience more frequent wet years compared to inner stations like Denizli, which have more dry years. Time series linear autoregressive (AR) models, using SPI-12 data, were developed to represent long-term drought trends and forecasts. The best-fitting models were determined using AIC, AICC, FPE, and Var(e) criteria, with AR(2) generally being the most suitable, except for Denizli. This integrated analysis of SPI and AR models provides a robust basis for understanding regional precipitation regimes and predicting future droughts, aiding in the development of effective drought mitigation strategies and water resource management. Future research is anticipated to extend this analysis to encompass all of Turkey and explore various time series models' applicability. | en_US |
dc.description.sponsorship | Pamukkale University Research Fund Unit [PAU-BAP-2021FEBE043]; Pamukkale University | en_US |
dc.description.sponsorship | This research was funded by the Pamukkale University Research Fund Unit grant number PAU-BAP-2021FEBE043 and The APC was funded by author A.T. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Mdpi | en_US |
dc.relation.ispartof | Atmosphere | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | drought variability | en_US |
dc.subject | standardized precipitation index | en_US |
dc.subject | AR models | en_US |
dc.subject | Aegean Region | en_US |
dc.subject | Prediction | en_US |
dc.subject | Models | en_US |
dc.subject | Basin | en_US |
dc.title | The Assessment of Precipitation and Droughts in the Aegean Region Using Stochastic Time Series and Standardized Precipitation Index | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 8 | en_US |
dc.department | Pamukkale University | en_US |
dc.identifier.doi | 10.3390/atmos15081001 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 59302897700 | - |
dc.authorscopusid | 59302687100 | - |
dc.authorscopusid | 57217683240 | - |
dc.identifier.scopus | 2-s2.0-85202437928 | en_US |
dc.identifier.wos | WOS:001305044300001 | en_US |
dc.institutionauthor | … | - |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
The Assessment of Precipitation and Droughts.pdf | 13.84 MB | Adobe PDF | View/Open |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.