Detecting Trends in the Annual Maximum Discharges in the Vah River Basin, Slovakia

Jeneiová, Katarína; Kohnová, Silvia; Sabo, Miroslav

doi:10.2478/aslh-2014-0010

Cited by 13 publications

(10 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The H 0 hypothesis of the Mann-Kendall test assumes a lack of a monotonic trend for the data, while the alternative H 1 claims its existence. The S statistics of the Mann-Kendall was based on the following formula [33][34][35][36][37][38]:…”

Section: Analysis Of Trends In the Observed Seriesmentioning

confidence: 99%

Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland

et al. 2019

View full text Add to dashboard Cite

The aim of this study was to determine the best probability distributions for calculating the maximum annual daily precipitation with the specific probability of exceedance (Pmaxp%). The novelty of this study lies in using the peak-weighted root mean square error (PWRMSE), the root mean square error (RMSE), and the coefficient of determination (R2) for assessing the fit of empirical and theoretical distributions. The input data included maximum daily precipitation records collected in the years 1971–2014 at 51 rainfall stations from the Upper Vistula Basin, Southern Poland. The value of Pmaxp% was determined based on the following probability distributions of random variables: Pearson’s type III (PIII), Weibull’s (W), log-normal, generalized extreme value (GEV), and Gumbel’s (G). Our outcomes showed a lack of significant trends in the observation series of the investigated random variables for a majority of the rainfall stations in the Upper Vistula Basin. We found that the peak-weighted root mean square error (PWRMSE) method, a commonly used metric for quality assessment of rainfall-runoff models, is useful for identifying the statistical distributions of the best fit. In fact, our findings demonstrated the consistency of this approach with the RMSE goodness-of-fit metrics. We also identified the GEV distribution as recommended for calculating the maximum daily precipitation with the specific probability of exceedance in the catchments of the Upper Vistula Basin.

show abstract

Section: Analysis Of Trends In the Observed Seriesmentioning

confidence: 99%

Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Assessment of the trends observed for the quality indicators was carried out on a monthly scale using the nonparametric Mann-Kendall test [30][31][32][33]. The test is commonly employed to detect monotonic trends in a series of environmental, climate, or hydrological data.…”

Section: Significance Verification Of the Trend For The Highest Dailymentioning

confidence: 99%

Trends, Variability, and Seasonality of Maximum Annual Daily Precipitation in the Upper Vistula Basin, Poland

2018

View full text Add to dashboard Cite

The aim of this study was to detect trends in maximum annual daily precipitation in the Upper Vistula Basin. We analyzed data from 51 weather stations between 1971 and 2014. Then we used the Mann–Kendall test to detect monotonical trends of the precipitation for three significance levels: 1, 5, and 10%. Our analysis of weather conditions helped us describe the mechanism behind the formation of maximum annual daily precipitation. To analyze precipitation seasonality, we also used Colwell indices. Our study identified a significant trend of the highest daily precipitation for the assumed significance levels (0.01, 0.05, 0.1) for 22% of the investigated weather stations at different elevations. The significant trends found were positive and an increase in precipitation is expected. From 1971 to 2014, the maximum daily total precipitation most often occurred in the summer half-year, i.e., from May until September. These months included a total of 88% of days with the highest daily precipitation. The predictability index for the highest total precipitation within the area was high and exceeded 5%. It was markedly affected by the coefficient of constancy (C) and to a lesser degree by the seasonality index (M). Our analysis demonstrated a convergence of the Colwell indices and frequency of cyclonic situation and, therefore, confirmed their usability in the analysis of precipitation seasonality.

show abstract

“…Observing and noticing the changes in a longer hydrological time series is important for the scientific and practical research (Liang & Liu, 2014), especially for the needs of solving the water management problems, designing the objects of the water management, water use etc. When we are using the time series data in a hydrological analysis, it is important to fulfill three assumptions: homogeneity, stationary and independency of the time series (Jeneiova et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Trends of mean annual river discharges in the Zapadna Morava river basin

Langović

Manojlović

Cvorovic³

2017

B SERBIAN GEOGRAPHIC

View full text Add to dashboard Cite

Zapadna Morava River basin covers a surface of 15850 km2, which is approximately 18% of the territory of the Republic of Serbia. In its basin, 38 active surface stations are registered. The goal of this paper is the trend analysis of the mean annual river discharges in the Zapadna Morava River basin and their noticing in a longer series of time, as well as determining their intensity. Fifty years period of time (1965 - 2014) is taken for a time series. Because there is no empirical data for mean annual discharge values for all stations for the given period, the number of the hydrological stations, which are processed in this paper, is reduced to 21. Mann-Kendall test has been used for noticing the trend, Sen test has been used for estimating the curves inclinations of the linear trend, while Pettitt?s test has been used for determining the turning point of change. Also, classification of the years by water richness has been performed in this paper in order to determine wet and dry periods. For the needs of identification of medium watery, wet and dry years, the combined method has been used on the data examples from representative stations in the basin. Based on the processed data and the obtained results, it has been established that the most rivers in the basin of the Zapadna Morava River have a slightly decreasing trend of the flow values, whereby the change of the trend is not significant. On the most rivers, the change period has begun in the early eighties of the past century. On a large number of profiles, the watery period was appearing in the beginning of eighties, while the dry season is characteristic for the period from 1990 to 1994.

show abstract

Detecting Trends in the Annual Maximum Discharges in the Vah River Basin, Slovakia

Cited by 13 publications

References 23 publications

Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland

Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland

Trends, Variability, and Seasonality of Maximum Annual Daily Precipitation in the Upper Vistula Basin, Poland

Trends of mean annual river discharges in the Zapadna Morava river basin

Contact Info

Product

Resources

About