Trend, Independence, Stationarity, and Homogeneity Tests on Maximum Rainfall Series of Standard Durations Recorded in Turkey

Haktanır, Tefaruk; Çıtakoğlu, Hatice

doi:10.1061/(asce)he.1943-5584.0000973

Cited by 87 publications

(28 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, innovative trend analysis method have been successfully applied in water resources (Sen, 2012(Sen, , 2014Haktanir and Citakoglu, 2014;Kisi and Ay, 2014;Ay and Kisi, 2015). Sen proposed a new innovative trend analysis (ITA) technique in 2012 (Sen, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…He reported that commonly used MK and Spearman's rho tests have some restrictive assumptions, such as independent structure of the time series, normality of the distribution, and length of data. Haktanir and Citakoglu (2014) applied ITA method to data of 14 standard duration annual maximum rainfall series. Kisi and Ay (2014) investigated trends of some water quality parameters such as pH, T, EC, Na + , K + , CO 3 2À , HCO 3 À , Cl À , SO 4 À2 , B +3 and Q recorded at five different stations by ITA and MK.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An innovative method for trend analysis of monthly pan evaporations

Kisi

2015

Journal of Hydrology

125

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An innovative method for trend analysis of monthly pan evaporations

Kisi

2015

Journal of Hydrology

125

View full text Add to dashboard Cite

“…A serious problem in detecting and evaluating trends in hydrological data is the effect of serial dependence [61][62][63][64][65][66][67]. If an autocorrelation exists in a time series, the MK test tends to reject the null According to the Slovak Hydrometeorological Institute (SHMI), average annual rainfalls of less than 600 mm may occur in Slovakia.…”

Section: Discussionmentioning

confidence: 99%

“…It is also widely used in environmental science because it is simple, robust, and can cope with missing values and values below a detection limit. A serious problem in detecting and evaluating trends in hydrological data is the effect of serial dependence [61][62][63][64][65][66][67]. If an autocorrelation exists in a time series, the MK test tends to reject the null hypothesis of no trend more often than the specified level of significance [68].…”

Section: Discussionmentioning

confidence: 99%

Precipitation Trends over Slovakia in the Period 1981–2013

Zeleňáková

Vido

Portela

et al. 2017

Water

View full text Add to dashboard Cite

Abstract:The objective of this paper was to analyze the temporal and spatial trends in annual and seasonal precipitation in Slovakia utilizing 487 gauging station data collected statewide in the period from 1981 to 2013. The nonparametric Mann-Kendall (MK) statistical test, which has been widely used to assess the significance of trends in hydrological time series, was applied to detect the significant trends. The Theil-Sen (TS) approach was applied to quantify the trend magnitude, and the Sequential Mann-Kendall (SQMK) test was used to detect abrupt temporal trend shifts. In general, precipitation data in the study area have not changed during the last 33 years, and there are no big gaps. However, predominantly increasing trends in precipitation time series were found at most of the gauging stations in Slovakia. The results corroborate previous climatic studies in the area of central Europe. In Slovakia, there is evidence of different rain distribution from the monthly point of view. Decreasing trends were detected in December in the northern part of Slovakia, while the central and southern parts revealed increasing trends. Most of the stations showed increasing summer precipitation trends, especially in July. It is expected that the findings of this comprehensive study of precipitation trends over Slovakia will produce more insights for the understanding of the regional hydrological behavior in Slovakia over the last several decades.

show abstract

“…Therefore, there is no obstacle in the application of this method to any kind of time series for trend identification. The advantages of this method are highlighted by many researchers (Sonali and Nagesh Kumar, ; Timbadiya et al ., ; Markus et al ., ; Şen, ; Saplioglu et al ., ; Kisi and Ay, ; Ay and Kisi, ; Mishra and Coulibaly, ; Haktanir and Citakoglu, ). It is also possible that the trend in time series can be displayed clearly as monotonic or nonmonotonic via this method (Şen, ).…”

Section: Introductionmentioning

confidence: 99%

Climate change and frequency–intensity–duration (FID) curves for Florya station, Istanbul

Güçlü

Şişman

Yeleğen

2016

J Flood Risk Management

View full text Add to dashboard Cite

In recent decades, according to Intergovernmental Panel on Climate Change reports, the impact of climate change on hydro‐meteorological events has increased substantially. This point is obvious in many rainfall–runoff time series as a negative or positive trend. In this paper, first of all such trend possibilities are searched graphically according to Şen's 1:1 (45°) straight‐line method, which has been proposed instead of the classical methods including Mann–Kendall, Spearman's rho and linear regression approaches. Additionally, these trends are quantified by using frequency–intensity–duration (FID) curves, instead of intensity–duration–frequency (IDF) curves obtained from a set of single storm rainfall records. The FID curves provide practical, easy and clear representation of rainfall intensity variation through fitted exponential curves with coefficient of determination that is almost equal to 1 (R2 ≈ 1). FID curves are drawn on semilogarithmic paper with rainfall intensity estimations from the convenient Gamma probability distribution functions (PDFs) or cumulative distribution functions (CDFs). In this study 46‐year rainfall records are used from Florya station, which is located in Istanbul, Turkey. The comparisons generally indicated that a negative trend is valid at this station, and accordingly, representative FID curves are obtained on ordinary and semilogarithmic papers for this station.

show abstract

Trend, Independence, Stationarity, and Homogeneity Tests on Maximum Rainfall Series of Standard Durations Recorded in Turkey

Cited by 87 publications

References 22 publications

An innovative method for trend analysis of monthly pan evaporations

An innovative method for trend analysis of monthly pan evaporations

Precipitation Trends over Slovakia in the Period 1981–2013

Climate change and frequency–intensity–duration (FID) curves for Florya station, Istanbul

Contact Info

Product

Resources

About