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Published on: July 24, 2016
Protocol for extracting flow hydrograph shape metrics for use in time-series flood hydrology analysis
Amir Mohammad Arash1, Kirstie Fryirs1, Timothy J Ralph1
1School of Natural Sciences, Macquarie University, North Ryde, NSW, Australia.
This study introduces a Python workflow to analyze flow hydrograph shapes, classifying different flood types and calculating key metrics. This method enables consistent assessment of hydrological changes across large datasets.
Area of Science:
- Hydrology
- Environmental Science
- Geospatial Analysis
Background:
- Analyzing flow hydrographs is crucial for understanding hydrological changes at various scales.
- Manual analysis of numerous hydrographs is time-consuming and limits comprehensive assessment.
- A standardized protocol is needed for consistent derivation and validation of hydrograph metrics.
Purpose of the Study:
- To present Python workflows for extracting and analyzing flow hydrographs from public gauging station records.
- To classify hydrographs based on morphologically-defined flow and flood types.
- To calculate diverse at-a-station and downstream hydrograph shape metrics.
Main Methods:
- Utilized Python for automated hydrograph extraction from open-access gauging station data.
- Implemented a classification system for in-channel fresh, high flow, and overbank flood types.
- Calculated metrics such as kurtosis, skewness, peak stage, and various attenuation and celerity indices, incorporating GIS data.
Main Results:
- Developed a flexible workflow for quantifying hydrograph shape metrics from diverse temporal resolutions.
- Demonstrated the workflow's application using 117 gauging stations in coastal New South Wales, Australia.
- Generated a dataset of quantified metrics for tracking hydrological changes and characterizing regional hydrology.
Conclusions:
- The Python workflow provides a consistent and efficient method for analyzing large hydrograph datasets.
- The calculated metrics facilitate the tracking of flow and flood dynamics over time and across regions.
- This protocol serves as a valuable tool for change detection in hydrology and identifying areas for further modeling.
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