Investigation and prediction of the changing trend of climate parameters on Discharge (Case Study: Godarkhosh Subbasin)
| Autor: | Morteza Gheisoori, Somayeh Soltani-Gerdefaramarzi, Mohsen Ghasemi |
|---|---|
| Jazyk: | perština |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | مخاطرات محیط طبیعی, Vol 7, Iss 17, Pp 137-154 (2018) |
| Druh dokumentu: | article |
| ISSN: | 2676-4377 2676-4385 |
| DOI: | 10.22111/jneh.2017.19571.1222 |
| Popis: | Predicting of the river discharge is one of the most important issues in the planning and management of water resources in terms of energy generation, water allocation and use of water resources. In this study, the trend of climate parameters such as temperature and precipitation and so discharge as a hydrologic parameter were investigated based on the Mann-Kendall test and then was modeled and predicted the discharge of monthly streamflow Godarkhosh in the period 1992-2012, using linear time series SARIMA. To investigate the static model, tests autocorrelation (ADF) and partial autocorrelation (PACF) were used. The results of the Mann-Kendall test indicated the temperature parameter has an increasing trend and precipitation and discharge parameters showed reduction trend at all stations of the studied area at 99% confidence level. Also, the result of time series model indicated that the time series data of river flow were non-static data that with the differencing method, the non-static data transformed into static data. Then different models were fitted into static series to estimate the river flow and finally, model ARIMA (1, 0, 0) (0, 1, 1) was selected as an appropriate model to predict discharge and the river flow was predicted for 4 years from 2013 to 2016. The results showed that the discharge has increased at the end of the period, in which the model estimated river flow as well based on rainfall data from Meteorological Organization in the 2015-2016 year. Therefore, application of time-series models in water resources management can be useful. |
| Databáze: | Directory of Open Access Journals |
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