tank-model 3.0.0b3

Python implementation of Tank Hydrologic Model, a conceptual rainfall-runoff model proposed by Sugawara and Funiyuki (1956)

Tank Hydrologic Model

Python implementation of Tank Hydrologic Model, a conceptual rainfall-runoff model proposed by Sugawara and Funiyuki (1956)

Installation

Tank-Model can be installed as a python package using the following commands

$ pip install https://github.com/nzahasan/tank-model/zipball/master

after successful installation tank_cmd.py should be available which can be used for setting up new project, optimizing the project and computation.

# get help text command line utility
$ tank_cmd.py --help

# get help text of subcommand
$ tank_cmd.py new-project --help

Setting up a new model:

New project can be created using the following command. This command creates a folder in working directory with a json formatted project definition inside it.

$ tank_cmd.py new-project project_name

A sample project definition looks like this

{
  "interval": 24.0,
  "basin": "sample_project.basin.json",
  "precipitation": "sample_project.pr.csv",
  "evapotranspiration": "sample_project.et.csv",
  "discharge": "sample_project.q.csv",
  "result": "sample_project.result.csv",
  "statistics": "sample_project.stats.json",
  "start": "2020-01-01T00:00:00",
  "end": "2020-12-31T00:00:00"
}

here interval is the time step of simulation in hours. The other attributes are file locations; precipitation, evapotranspiration and discharge are CSV files containing time-series data. These files should be formatted according to the file format mentioned here file-format-spec.md

start and end are optional and restrict compute, optimize and plot-result to the given date range (format %Y-%m-%dT%H:%M:%S, matching the time-series files). If omitted, the full period available in the input files is simulated; either one can be given on its own, in which case the other side of the range is left unbounded.

precipitation & evapotranspiration serve as input data for the model simulation and resulting output is stored in the result file following the time-series CSV format mentioned earlier. Data in the discharge is used for model calibration. And performance matrices are stored in the statistics file.

Converting HEC-HMS basin to tank model basin

$ tank_cmd.py hms2tank -bf hechms_basin_file -of output_tank_basin_file_path

Computing tank model

$ tank_cmd.py compute -pf project_name.project.json

Automatic optimization of tank model

$ tank_cmd.py optimize -pf project_name.project.json

Known Limitions

• Currently there is no way to optimize for multiple root node

References:

1. Paik K., Kim J. H., Kim H. S., Lee D. R. (2005) A conceptual rainfall-runoff model considering seasonal variation.
2. Aguilar C., Polo M. J. (2011) Generating reference evapotranspiration surfaces from the Hargreaves equation at watershed scale.
3. Taib A. T. M., Tahir W., Ramli S., Mohtar I. S. A. (2022) Hydro-Meteorological Flood Forecasting Using Tank Model With Satellite-Based Rainfall Input For Kemaman River Catchment.
4. D. N. Moriasi, J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, T. L. Veith (2007) Model Evaluation Guidelines For Systematic Quantification Of Accuracy In Watershed Simulations.