Meteorological drought monitoring in Kızılırmak Basin, Türkiye
| dc.contributor.author | Robleh, Hamza Barkad | |
| dc.contributor.author | Yuce, Mehmet Ishak | |
| dc.contributor.author | Esit, Musa | |
| dc.contributor.author | Deger, Ibrahim Halil | |
| dc.date.accessioned | 2024-05-06T06:08:52Z | |
| dc.date.available | 2024-05-06T06:08:52Z | |
| dc.date.issued | May 2024 | en_US |
| dc.department | HKÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
| dc.description.abstract | Drought, a major phenomenon impacting water resources, viability, sustainability, and the economy, has been one of the most important hydrological concerns. In the literature, it has been classified into four groups that are meteorological, agricultural, hydrological, and socio-economic. Meteorological drought expresses the precipitation deficits when they are significantly below those recorded normal times. In this study, using the Standard Precipitation Index (SPI) and mean monthly precipitation records of 17 stations which have been obtained from the General Directorate of Meteorology of Türkiye, a drought monitoring analysis has been conducted for Kızılırmak Basin, which is the second largest water basin of the country and water source of many provinces allowing for the time scales of 1, 3, 6, 9, 12, and 24 months considering the cases of “dry” (SPI ≤ − 1.5) and “wet” (SPI ≥ 1.5). To detect the possible trends in two categories of Severe and Extreme Drought, SED (SPI ≤ − 1.5), and Severe and Extreme Wet, SEW (SPI ≥ 1.5) of all time scales, a developed form of innovative trend analysis (ITA) is performed by adding two vertical lines. In addition, a traditional the Mann–Kendall test is applied to the SPI series. The findings indicate that dry occurrences tend to outnumber wet occurrences across various time scales. Analysis reveals that a significant majority of results across all time scales exhibit a consistent trend (89%), with a notable increase in the SEW category (62.74%) and a decrease in the SED category (60.78%). Mann–Kendall analysis demonstrates that 67% of the observed trends show a decrease, while 33% show an increase across all time scales. © The Author(s) 2024. | en_US |
| dc.identifier.citation | Robleh H.B., Yuce M.I., Esit M. & Deger I.H. (2024). Meteorological drought monitoring in Kızılırmak Basin, Türkiye. Environmental Earth Sciences. ( 83, 9.). https://doi.org/10.1007/s12665-024-11550-0. | en_US |
| dc.identifier.doi | 10.1007/s12665-024-11550-0 | |
| dc.identifier.issn | 18666280 | |
| dc.identifier.issue | 9 | en_US |
| dc.identifier.orcid | 0000-0001-6360-3923 | en_US |
| dc.identifier.scopus | 2-s2.0-85190680402 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://doi.org/10.1007/s12665-024-11550-0 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11782/4268 | |
| dc.identifier.volume | 83 | en_US |
| dc.identifier.wos | WOS:001205104600001 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
| dc.relation.ispartof | Environmental Earth Sciences | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Drought | en_US |
| dc.subject | ITA | en_US |
| dc.subject | Kızılırmak | en_US |
| dc.subject | Mann–Kendall | en_US |
| dc.subject | SPI | en_US |
| dc.subject | Türkiye | en_US |
| dc.title | Meteorological drought monitoring in Kızılırmak Basin, Türkiye | |
| dc.type | Article |










