Hydrological Drought Forecasting Using Time Series

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ALIJANI REZVAN; VAFAKHAH MEHDI

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Journal: DESERT ECOSYSTEM ENGINEERING JOURNAL Year:2018 | Volume:7 | Issue:20 Page(s): 0-0

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Information Journal Paper

Title

Hydrological Drought Forecasting Using Time Series

Author(s)

ALIJANI REZVAN | VAFAKHAH MEHDI | Issue Writer Certificate

Keywords

Hydrologic droughtQ2

SARIMA modelQ1

StationaryQ1

AutocorrelationQ1

Standardized streamflow indexQ1

Abstract

Introduction: Hydrologic drought in the sense of deficient river flow is defined as the periods that river flow does not meet the needs of planned programs for system management. Drought is generally considered as periods with insignificant precipitation, soil moisture and water resources for sustaining and supplying the socioeconomic activities of a region. Thus, it is difficult to give a universal definition of drought. The most well-known classification of droughts is based on the nature of the water deficit: (a) the meteorological drought, (b) the hydrological drought, (c) the agricultural drought, (d) the socio-economic drought. Perhaps the most widely used model is the ARIMA model for predicting drought. The two general forms of ARIMA models are non-seasonal ARIMA (p, d, q) and multiplicative seasonal ARIMA (p, d, q)×(P, D, Q) in which p and q are non-seasonal autoregressive and moving average, P and Q are seasonal autoregressive and moving average parameters, respectively. The other two parameters, d and D, are required differencing used to make the series Stationary. The differencing operator that is usually used in the case of non-Stationary time series. The aim of the study is to predict hydrological drought using time series analysis in the small forest watershed. . . .

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APA: Copy

ALIJANI, REZVAN, & VAFAKHAH, MEHDI. (2018). Hydrological Drought Forecasting Using Time Series. DESERT ECOSYSTEM ENGINEERING JOURNAL, 7(20 ), 0-0. SID. https://sid.ir/paper/397507/en

Vancouver: Copy

ALIJANI REZVAN, VAFAKHAH MEHDI. Hydrological Drought Forecasting Using Time Series. DESERT ECOSYSTEM ENGINEERING JOURNAL[Internet]. 2018;7(20 ):0-0. Available from: https://sid.ir/paper/397507/en

IEEE: Copy

REZVAN ALIJANI, and MEHDI VAFAKHAH, “Hydrological Drought Forecasting Using Time Series,” DESERT ECOSYSTEM ENGINEERING JOURNAL, vol. 7, no. 20 , pp. 0–0, 2018, [Online]. Available: https://sid.ir/paper/397507/en

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