Persistence of Rainfall Time Series: Kırşehir Case Study
نویسندگان
چکیده
This study examines the persistence and long-term correlation of monthly seasonal rainfall time series Kırşehir for period 1960-2019, with widely used Hurst exponent Detrended Fluctuation Analysis (DFA) analyses. Both DFA analyses could be to detect memory that can assessed as a reference predictability. To support results Augmented Dickey Fuller Mann-Kendall tests also applied series. Within various series, evidence was identified. According H values simple R/S corrected methods, 10 out 12 months winter, spring (only R/S), summer R/S) autumn season according scaling 4 winter seasons exhibit long term correlation. On other hand, when compared only four two concluded consistent both results.
منابع مشابه
Application of Geostatistics in Time Series: Mashhad Annual Rainfall
There are numerous methods for data fillingin hydrology. Most, however, are based oncorrelations with nearby stations in a generalscheme of regionalization. These methods,though robust, fail to function when andwhere all the near stations are missed-datatoo. The Mashhad synoptic station has annualrainfall data over a 50 year period from 1951to 2000 and historic rainfall data from 1893 to1940, j...
متن کاملRainfall-runoff process modeling using time series transfer function
Extended Abstract 1- Introduction Nowadays, forecasting and modeling the rainfall-runoff process is essential for planning and managing water resources. Rainfall-Runoff hydrologic models provide simplified characterizations of the real-world system. A wide range of rainfall-runoff models is currently used by researchers and experts. These models are mainly developed and applied for simulation...
متن کاملStochastic Monthly Rainfall Time Series Analysis, Modeling and Forecasting ( A cas study: Ardebilcity
Rainfall is the main source of the available water for human. Predicting the amount of the future rainfall is useful for informed policies, planning and decision making that will help potentially make optimal and sustainable use of available water resources. The main aim of this study was to investigate the trend and forecast monthly rainfall of selected synoptic station in Ardabil province usi...
متن کاملComparative Study Among Different Time Series Models for Monthly Rainfall Forecasting in Shiraz Synoptic Station, Iran
In this research, monthly rainfall of Shiraz synoptic station from March 1971 to February 2016 was studied using different time series models by ITSM Software. Results showed that the ARMA (1,12) model based on Hannan-Rissanen method was the best model which fitted to the data. Then, to assess the verification and accuracy of the model, the monthly rainfall for 60 months (from March 2011 to Feb...
متن کاملTime Series Analysis of Forecasting Indian Rainfall
This paper presents a study of neural network model for prediction of Indian rainfall. The purpose of this paper is to evaluate the applicability of ANN. In this paper the performance of different networks have been evaluated and tested.The multilayered artificial neural network with learning by backpropagation algorithm is used .The paper implements weather prediction by building training and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Uluslararas? mühendislik ara?t?rma ve geli?tirme dergisi
سال: 2022
ISSN: ['1308-5506', '1308-5514']
DOI: https://doi.org/10.29137/umagd.868317