Hydrological drought analysis of Yeşilırmak Basin of Turkey by streamflow drought index (SDI) and innovative trend analysis (ITA)

Yüce, Mehmet; DEGER, İbrahim Halil; Eşit, Musa

doi:10.1007/s00704-023-04545-7

Cited by 10 publications

(4 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As proposed by Şen (2012), ITA has been utilized due to its simplicity and efficiency (Elouissi et al 2021;Yuce et al 2023). In addition to this, ITA enables researchers to investigate trends graphically.…”

Section: Innovative Trend Analysis (Ita)mentioning

confidence: 99%

“…Droughts are complex events (Shiau and Modarres 2009), the least understood disasters (Kao and Govindaraju 2010), recurrent events with more harmful effects (Ullah et al 2023), slow evolution process that takes place with long duration and common impact (Ahmadi and Moradkhani 2019;Sun et al 2023), most serious and extensive natural catastrophe (Zhou et al 2023). Besides its properties drought has been classified into four groups meteorological, agricultural, hydrological, and socio-economic (Kheyruri et al 2023;Deger et al 2023;Yang et al 2023;Yuce et al 2023;Niaz et al 2023). Meteorological droughts describe precipitation deficits that are significantly below average levels (Akturk et al 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The method has been employed by several researchers (Ashraf et al 2023;Suhana et al 2023;Dufera et al 2023;Thi et al 2023) in the detection of trends. Innovative trend analysis (ITA) which has been developed and assessed by Şen (2012) and Şen (2017) is the method employed by many researchers (Alam et al 2023;Achite et al 2023;Yuce et al 2023;Soylu Pekpostalci et al 2023) for detecting the behavior of different drought types. Besides it has been stated by Ahmed et al (2022) that ITA is utilized for analyzing the trends of many river basins of the world.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Meteorological drought monitoring in Kızılırmak Basin, Türkiye

Robleh,

Yuce,

Esit

et al. 2024

Environ Earth Sci

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Innovative Trend Analysis (Ita)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Meteorological drought monitoring in Kızılırmak Basin, Türkiye

Robleh,

Yuce,

Esit

et al. 2024

Environ Earth Sci

Self Cite

View full text Add to dashboard Cite

show abstract

“…[38] used the Standardized Streamflow Drought and the Standardized Precipitation Index together in the Aegean region; Ref. [39] investigated hydrological drought in the Yeşilırmak basin using the Standardized Streamflow Drought Index and Innovative Trend Analysis methods; Ref. [40] determined the response of hydrological drought to meteorological drought in the Eastern Mediterranean Basin of Turkey; Ref.…”

Section: Introductionmentioning

confidence: 99%

Developing Regional Hydrological Drought Risk Models through Ordinary and Principal Component Regression Using Low-Flow Indexes in Susurluk Basin, Turkey

Gürler,

Anli,

Polat

2024

Water

View full text Add to dashboard Cite

Susurluk Basin is among the basins that may be most affected by drought risk due to its agricultural, economic, and natural resources. In this study, regional hydrological drought risk models were developed for water supply systems in the Susurluk Basin, Turkey. Twenty-four flow observation sites with 25 years or more of data showing natural flow characteristics as much as possible were converted into daily flow data with Q7, Q15, Q30, and Q60 low-flow indexes. Regionalization was carried out by two-stage multivariate cluster and principal component analysis using the basins’ physical and hydrological characteristics and low-flow statistics, and two homogeneous regions were obtained due to the discordancy, heterogeneity, and goodness of fit tests, which are L-moment approaches. Regional models were performed with ordinary and principal component regression techniques using the physical and hydrological characteristics of the watersheds and regional low-flow frequency analysis. The cross-validation procedure results for ungauged basins show that ordinary regression models are more effective in the lowland first region. In contrast, principal component regression models are more suitable for the mountainous second region. This study’s findings, which are a first for the Susurluk Basin, will have important results in terms of agricultural water management in the region and will help the water authority in water allocation. To investigate whether human impact and climate change impact the prediction of hydrological drought, we recommend seasonal non-stationary frequency analysis with the addition of useful empirical hydrological drought indexes.

show abstract

Hydrological Drought and Trend Analysis in Kızılırmak, Yeşilırmak and Sakarya Basins

Kartal,

Emiroglu

2024

Pure Appl. Geophys.

View full text Add to dashboard Cite

Hydrological drought analysis of Yeşilırmak Basin of Turkey by streamflow drought index (SDI) and innovative trend analysis (ITA)

Cited by 10 publications

References 56 publications

Meteorological drought monitoring in Kızılırmak Basin, Türkiye

Meteorological drought monitoring in Kızılırmak Basin, Türkiye

Developing Regional Hydrological Drought Risk Models through Ordinary and Principal Component Regression Using Low-Flow Indexes in Susurluk Basin, Turkey

Hydrological Drought and Trend Analysis in Kızılırmak, Yeşilırmak and Sakarya Basins

Contact Info

Product

Resources

About