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This document is the user manual of codes designed for the hydrograph separation method reported in Mei & Anagnostou (2015. A Hydrograph Separation Method Based on Information from Rainfall and Runoff Records).

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Hydro_Seper

This repository contains the Matlab program for the Characteristic Point Method (CPM) and some other codes related to the topic of hydrograph separation and properties. CPM is a method for automatic separation of hydrograph and extraction of flood events from long-term time series reported in Mei & Anagnostou (2015, A Hydrograph Separation Method Based on Information from Rainfall and Runoff Records). A user manual of the program and demonstration of implementation are also provided.

Details of CPM:

  1. The "Demo_data.mat" contains inputs of the CPM program and the "Results.mat" contains results produced by the program.
  2. The "Demo.m" file is an example of how to run the CPM program.
  3. The "RCK", "FRCK.m", "CPM.m", "CPM_FE.m", "CPM_peak.m", and "CPM_RE.m" are components of the CPM program.
  4. The "CPM User Manual_MMMYYYY.pdf" is the user manual of the program.
  5. Please see the user manual for instructions on how to set up the CPM program. The user manual also contains the instructions for running the Demo code.
  6. The program may subject to update ocassionally. Please check for the new version on our website.

Other related Matlab codes:

  1. The "hydro_pro.m" file is a code for calculation of the rainfall-runoff event properties.
  2. The "UKIH.m" file is a code to implement the United Kindom Institute of Hydrology (UKIH) baseflow separation method by Gustard et al. (1992, Low Flow Estimation in the United Kingdom).
  3. The "RDF.m" file is a code to implement the recursive digital filter (RDF) baseflow separation method by Eckhardt (2005, How to construct recursive digital filters for baseflow separation).

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This document is the user manual of codes designed for the hydrograph separation method reported in Mei & Anagnostou (2015. A Hydrograph Separation Method Based on Information from Rainfall and Runoff Records).

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