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3 changes: 3 additions & 0 deletions .gitignore
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__pycache__
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22 changes: 22 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2020 Nazmul Ahasan
Copyright (c) 2024 Duy Nguyen

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
210 changes: 210 additions & 0 deletions README.md
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# HydTANK

![PyPI - Version](https://img.shields.io/pypi/v/hydtank)

Python implementation of the Tank Hydrological model by Sugawara and Funiyuki (1956), based on the original code
from [tank-model](https://github.com/nzahasan/tank-model) by [nzahasan](https://github.com/nzahasan).

## Installation

```bash
pip install hydtank
```

## Getting Started

### 1. Prepare the Dataset

The dataset must include the following columns: Date, Precipitation, Evapotranspiration, and Discharge. Additionally,
ensure that:

- The time intervals between dates are consistent (e.g., 24 hours) for accurate model performance.

Example dataset:

| Date | Discharge | Precipitation | Evapotranspiration |
|------------|-----------|---------------|--------------------|
| 10/9/2016 | 0.25694 | 0 | 2.79 |
| 10/10/2016 | 0.25812 | 0 | 3.46 |
| 10/11/2016 | 0.30983 | 0 | 3.65 |
| 10/12/2016 | 0.31422 | 0 | 3.46 |
| 10/13/2016 | 0.30866 | 0 | 5.64 |
| 10/14/2016 | 0.30868 | 0 | 3.24 |
| 10/15/2016 | 0.31299 | 0 | 3.41 |
| ... | ... | ... | ... |

### 2. Prepare the HEC-HMS Basin File

In addition to the dataset, ensure you have the required HEC-HMS basin file. This file contains the hydrological and
geographical configuration needed for the TANK model.

### 3. Initialize the Model

#### 3.1 Directly from a dataset file and a basin file:

```python
from hydtank import build_hydtank

with open('data.csv') as file1, open('NuiLe_GiaUi.basin') as file2:
tank = build_hydtank(
dataset_content=file1.read(),
basin_content=file2.read(),
interval=24.0,
start=None,
end=None
)
```

#### 3.2 From a `Dataset` and a basin file:

```python
import pandas as pd
from hydtank import build_hydtank_from_dataset, Dataset, TIME_SERIES, PRECIPITATION, EVAPOTRANSPIRATION, DISCHARGE

df = pd.read_csv('data.csv')

_dataset = Dataset(
time_series=df[TIME_SERIES].tolist(),
precipitation=df[PRECIPITATION].tolist(),
evapotranspiration=df[EVAPOTRANSPIRATION].tolist(),
discharge=df[DISCHARGE].tolist(),
)

tank = build_hydtank_from_dataset(
basin_content=open('NuiLe_GiaUi.basin').read(),
_dataset=_dataset,
interval=24.0,
start=None,
end=None
)
```

#### 3.3 From an existing model:

```python
from hydtank import build_hydtank, HydTANK

with open('data.csv') as file1, open('NuiLe_GiaUi.basin') as file2:
tank = build_hydtank(
file1.read(),
file2.read()
)

# Avoid using the original model directly!
# Always make a copy before creating a new model
tank_copy = tank.copy()

tank2 = HydTANK(
tank_copy.dataset,
tank_copy.basin_defs,
tank_copy.root_node,
tank_copy.interval,
tank_copy.start,
tank_copy.end
)
```

### 4. Retrieve `BasinDef` Information by Name

```python
from hydtank.bsd_junction import Junction
from hydtank.bsd_reach import Reach
from hydtank.bsd_sink import Sink
from hydtank.bsd_subbasin import Subbasin

...

try:
nui_le: Subbasin = tank.get_basin_def_by_name('NuiLe')
giaui_local: Subbasin = tank.get_basin_def_by_name('GiaUi_Local')
reach1: Reach = tank.get_basin_def_by_name('Reach1')
junction1: Junction = tank.get_basin_def_by_name('Junction1')
sink: Sink = tank.get_basin_def_by_name('Sink1')
except ValueError:
# BasinDef not found
pass
```

### 5. Plotting

```python
tank.plot_basin_network().save('GiaUi_NuiLe_Basin_Network.png')
tank.plot_headwater_q().save('GiaUi_NuiLe_Headwater.png')
tank.plot_q().save('GiaUi_NuiLe_Qsim.png')
tank.plot_subbasin(nui_le).save('GiaUi_NuiLe_NuiLe_Subbasin.png')
tank.plot_subbasin(giaui_local).save('GiaUi_NuiLe_GiaUiLocal_Subbasin.png')
```

### 6. Reconfigure Parameters for a `BasinDef`

```python
from hydtank.parameters import SubbasinParameters, ReachParameters

...

params = reach1.parameters.copy()
params.k = 0.9235288521736096
tank.reconfig_parameters(reach1.name, params)
tank.reconfig_parameters(reach1.name, ReachParameters())

tank.reconfig_parameters(nui_le.name, SubbasinParameters())
```

### 7. Auto-Optimize Parameters for `Subbasin` and `Reach`

#### 7.1 Optimize Specific `Subbasin` and `Reach`

```python
tank.optimize([nui_le, reach1, giaui_local])
```

#### 7.2 Optimize All

**Note:** This process can take significant time as it involves optimizing parameters for all `Subbasin` and `Reach`
elements in the model.

```python
tank.optimize_all()
```

### 8. Export Calculation Results as a `pandas.DataFrame`

```python
r_df = tank.to_dataframe()
```

### 9. Set a New `Dataset`

```python
df = pd.read_csv('new_data.csv')

_dataset = Dataset(
time_series=df[TIME_SERIES].tolist(),
precipitation=df[PRECIPITATION].tolist(),
evapotranspiration=df[EVAPOTRANSPIRATION].tolist(),
discharge=df[DISCHARGE].tolist(),
)

tank.reset_dataset(_dataset, interval=24.0)
```

### 10. Configure Time Range

```python
from datetime import datetime

...

tank.set_timeseries_range(start=datetime(...), end=datetime(...))
```

## License

This library is released under the MIT License.

## Contact

For any questions or issues, please open an issue on [GitHub](https://github.com/duynguyen02/HydTANK/issues) or email us
at [[email protected]](mailto:[email protected]).

---
40 changes: 40 additions & 0 deletions example/1_Basin_Usage.py
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from hydtank import build_hydtank
from hydtank.bsd_junction import Junction
from hydtank.bsd_reach import Reach
from hydtank.bsd_sink import Sink
from hydtank.bsd_subbasin import Subbasin
from hydtank.parameters import SubbasinParameters, ReachParameters

with open('data.csv') as file1, open('NuiLe_GiaUi.basin') as file2:
tank = build_hydtank(
file1.read(),
file2.read()
)

nui_le: Subbasin = tank.get_basin_def_by_name('NuiLe')
giaui_local: Subbasin = tank.get_basin_def_by_name('GiaUi_Local')
reach1: Reach = tank.get_basin_def_by_name('Reach1')
junction1: Junction = tank.get_basin_def_by_name('Junction1')
sink: Sink = tank.get_basin_def_by_name('Sink1')

tank.optimize([nui_le, reach1, giaui_local])

tank.plot_basin_network().save('GiaUi_NuiLe_Basin_Network.png')
tank.plot_headwater_q().save('GiaUi_NuiLe_Headwater.png')
tank.plot_q().save('GiaUi_NuiLe_Qsim.png')
tank.plot_subbasin(nui_le).save('GiaUi_NuiLe_NuiLe_Subbasin.png')
tank.plot_subbasin(giaui_local).save('GiaUi_NuiLe_GiaUiLocal_Subbasin.png')

print(reach1.parameters)
print(nui_le.parameters)
print(giaui_local.parameters)
print(nui_le.stats)

params = reach1.parameters.copy()
params.k = 0.9235288521736096
tank.reconfig_parameters(reach1.name, params)
tank.reconfig_parameters(reach1.name, ReachParameters())

tank.reconfig_parameters(nui_le.name, SubbasinParameters())

tank.to_dataframe().to_csv('GiaUi_NuiLe_TANK.csv', index=False)
22 changes: 22 additions & 0 deletions example/2_Using_Dataset.py
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import pandas as pd

from hydtank import build_hydtank_from_dataset, Dataset, TIME_SERIES, PRECIPITATION, EVAPOTRANSPIRATION, DISCHARGE

df = pd.read_csv('data.csv')

_dataset = Dataset(
time_series=df[TIME_SERIES].tolist(),
precipitation=df[PRECIPITATION].tolist(),
evapotranspiration=df[EVAPOTRANSPIRATION].tolist(),
discharge=df[DISCHARGE].tolist(),
)

tank = build_hydtank_from_dataset(
open('NuiLe_GiaUi.basin').read(),
_dataset
)

tank2 = tank.copy()

print(tank == tank2)
print(tank.get_basin_def_by_name('NuiLe') == tank2.get_basin_def_by_name('NuiLe'))
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