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Hydrological time series analysis and modelling using statistical tests and linear time series models (case study: West Azerbaijan province of Iran)

机译:利用统计检验和线性时间序列模型进行水文时间序列分析和建模(案例研究:伊朗西部阿塞拜疆省)

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摘要

In this paper, the time series of hydrological processes analysed using ADF, KPSS, Mann-Kendall tests and linear time series models on monthly scale in the West Azerbaijan province of Iran. Significant decreasing trend in precipitation and stream flow discharge were observed. Also, non-stationarity in precipitation was observed in four studied basins. Decreasing stream flow discharge partially can be a result of trends in precipitation and evaporation. The population growth, land use changes and increase in water withdrawal are other reasons to blame. The results of linear time series modelling indicates that ARMA models for modelling stream flow only appears when precipitation or evaporation models have a MA component. On the other hand, when precipitation and evaporation models only have AR component, stream flow models are also follow autoregressive models and moving average components vanish. Moreover, in climatically homogenous basins, the same models were best-fitted for different hydrologic processes.
机译:本文使用伊朗西部阿塞拜疆省的月度尺度,使用ADF,KPSS,Mann-Kendall检验和线性时间序列模型分析了水文过程的时间序列。观察到降水和水流流量的显着下降趋势。此外,在四个研究盆地中观察到降水的非平稳性。流量减少的部分原因可能是降水和蒸发趋势的结果。人口增长,土地用途的变化和取水量的增加是其他原因。线性时间序列建模的结果表明,仅当降水或蒸发模型具有MA分量时,才会出现用于建模流的ARMA模型。另一方面,当降水和蒸发模型仅具有AR分量时,流模型也遵循自回归模型,并且移动平均分量消失。此外,在气候均匀的盆地中,相同的模型最适合于不同的水文过程。

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