Decrease of saline lakes, which comprise 44% of all available lake water, is a major
concern. It additionally accelerates the desertification process of the region. Thus, various …

研究建立了基于时间序列分解的神经网络模型, 能对降雨时间序列挖掘并预测. ① 以桓台县1979-
2018 年的480 组月降雨数据为例, 将降雨时间序列分解为趋势项, 周期项, 突变项与随机项. ② …

Sustainable management of precious groundwater resources is vital to growth, especially in
arid areas which they heavily depend on. In this study, monthly groundwater level time …

Quantification of the dependence characteristics in hydrological time series is essential for
understanding hydrological variability and for managing water resources. However, how …

Augmented Dickey-Fuller (ADF) and Kwaitowski-Phillips-Schmidt-Shin (KPSS) test are the
most employed tests to test stationarity. Because of the different null hypothesis of these two …

A study was undertaken to develop and apply Thomas-Fiering (TF) model for generation of
synthetic streamflow of Jakham river, Rajasthan. Streamflow data of 40 years (June, 1975 to …

This study assesses the rainfall-runoff time series data using a transform function approach.
Modelling rainfall-runoff data is crucial in the hydrology and water resource management …

In the present study, the accuracy of the climate research unit (CRU) precipitation data was
assessed as an alternative source instead of in situ data for monitoring the drought in the …

Correction coefficient value is one of the important parameters and fundamental keys for
estimating a modeled runoff of various regions. In this study, rainfall–runoff relationship is …

The effect of rainfall on groundwater level fluctuation was analysed using autoregressive
moving average exogeneous (ARMAX) transfer function noise (TFN) modelling approach on …