The widely-used hydrological procedures for calculating events with T-year return periods from data that follow a Gumbel distribution assume that the data sequence from which the Gumbel distribution is fitted remains stationary in time. If non-stationarity is suspected, whether as a consequence of changes in land-use practices or climate, it is common practice to test the significance of trend ...

Rainfall erosivity is commonly used to estimate the probability of soil erosion caused by rainfall. The accurate detection temporal changes in rainfall and identification abrupt trends are important for understanding physical causes variation. In this study, a framework introduced identify time series as follows: (i) significance variation assessed based on Hurst coefficient divided into three ...

thunderstorms are climatical phenomena, which sometimes can cause irreparable damage to the ecology. in this study to identify any trends in the frequency of days with thunderstorms in iran, long-term statistics of 33 synoptic stations, from the beginning until 2005 was used. at first by applying nonparametric man-kendall and sen’s estimator methods on four seasonal time series, and one annua...

This study was carried out to analyse the trend analysis of long-term annual and seasonal rainfall pattern in Telangana state, India. For this monthly data state from January 1982 December 2021 collected NASA power website (https://power.Iarc.nasa.gov). The linear regression line non-parametric tests, such as Mann-Kendall test, Modified-Mann Kendall test Innovative were used understand present ...

abstract recent global warming has led to a change in the global hydrological cycle and an increase in extreme events such as flood and drought at the global and continental scales. however, at the regional scale, the magnitude of warming and the resulting changes in water resources are different from one region to another. unlike air temperature whose increase is evident throughout the world, ...

The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and Sen’s slope estimator approach on past pollutants statistics from air quality index station of Varanasi, India. Further, using autoregressive integrated moving average model, future values of air pollutant levels are predicted. Carbon monoxide, nitrogen dioxide, sulphur dioxide, particu...