Wavelet Transform Decomposition of Gilgit River Streamflow Signal and Experiment Results
Description
Dataset is associated with research journals. It includes two main data files and two descriptive files. Main Wavelet based Input for ANN modeling: 1; Dataset: (Include decomposition, year, month and 10-daily) 2; Data file Description: (Include details and description of each column) Experiment Results 1; Experiment Results (Include predicted values of streamflow) 2; Experiment file Descriptions (Include details and description of columns)
Files
Steps to reproduce
Dataset represents Inputs of Discrete Daubechies wavelet transformation of Gilgit river, Pakistan up to 2nd degree and predicted values by ANN-Wavelet modeling. This dataset is for research purposes. We intended to forecast streamflow on interval of (0.33, 0.66, 1, 2, 4 & 8) months. Firstly, Discrete Daubechies wavelet transformation was applied on Gilgit river, Pakistan up to 2nd degree. Further data was organized in such a manner that it accounts for the aforementioned lags. Resultant dataset for further use as input to ANN modeling. This dataset is given in the file "Dataset". Secondly, the simulated outputs of the ANN model against different forecasting intervals are given in the file "Experiment results".