Published November 28, 2025
| Version v2
Dataset
Open
Data and Codes of Rethinking the Filling Process of Mega-dam Cascades
Authors/Creators
Description
This is the data generated in the study "Rethinking the Filling Process of Mega-dam Cascades" and the codes for analyzing and visualizing the data.
| 1_of_values.xlsx | Objective function values of all solutions (i. e., filling strategies) tested in the optimization exercise |
| 2_pareto.xlsx | Objective function values of all pareto solutions |
| 2_pareto.py | The code for visualizing the trade-off between operating objectives of the pareto solutions |
| 3_seaborn.xlsx | Classification of the pareto solutions by the length of filing period |
| 3_seaborn.py | The code for visualizing the relation between the length of the filling period and operating objectives |
| 4_qcs_10.zip | Simulated discharge at Chiang Saen station using the optimal filling strategies, in which Xiaowan and Nuozhadu dams are filled in 4 and 3 years (X4-N3) |
| 4_qcs_13.zip | Simulated discharge at Chiang Saen station using the optimal filling strategies, in which Xiaowan and Nuozhadu dams are filled in 5 and 2 years (X5-N2) |
| 4_qcs_bl.zip | Simulated discharge at Chiang Saen station using historical filling strategy (the baseline) |
| 4_qcs_na.zip | Simulated natural discharge at Chiang Saen station (without dam operations) |
| 4_qcs.py | The code for analyzing and visualizing the comaprison of simulated discharge at Chiang Saen station using the alternative filing strategies (X4-N3 and X5-N2), the historical filing strategies (the baseline) and natural discharge (without dam operations) |
| 5_res_10.zip | The storage volume timeseries of Xiaowan and Nuozhadu dams when applying the optimal filling strategies in group X4-N3 |
| 5_res_13.zip | The storage volume timeseries of Xiaowan and Nuozhadu dams when applying the optimal filling strategies in group X5-N2 |
| 5_res_bl.zip | The storage volume timeseries of Xiaowan and Nuozhadu dams when applying the historical filling strategy (the baseline) |
| 5_afs.py | The code for visualizing the storage volume timeseries of Xiaowan and Nuozhadu dams when applying the alternative filing strategies (X4-N3 and X5-N2) over the base line |
| 6_mwg.zip | The data and codes for visualizing IBMWeatherGen output validation |
| 7_robust.zip | The data and codes for visualizing robustness analysis |
Files
4_qcs_10.zip
Files
(1.5 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:9554eeef446434f4441e24fbe9684749
|
847.2 kB | Download |
|
md5:6c00fba190d08a35f0a003832bd8d7b6
|
2.5 kB | Download |
|
md5:348c1d8e5f2c859c15ec781502117e87
|
41.1 kB | Download |
|
md5:9baf35996f64c3c0a4a6712fa0a69671
|
2.2 kB | Download |
|
md5:5f9538c8254de8655d4a73df3234c2af
|
58.2 kB | Download |
|
md5:05d2cd9759bed74a2e88518abf197fc2
|
13.4 kB | Download |
|
md5:10454fd7d86bd60e71f8d569fb429df3
|
6.0 MB | Preview Download |
|
md5:e6d89e172eba09b3d8e3749bd0c2e72b
|
3.1 MB | Preview Download |
|
md5:24ddf02a18bf7795873f76afcf049398
|
57.5 kB | Preview Download |
|
md5:4c8140ba01b18f247b9e3586b3a01e82
|
58.1 kB | Preview Download |
|
md5:26926ce193c256e5abd7c0ab82dbeb50
|
5.7 kB | Download |
|
md5:1976150d112c026c1002c637c4af7d11
|
17.5 MB | Preview Download |
|
md5:f1008264ea9d59a2dcf822cb78d439b2
|
8.9 MB | Preview Download |
|
md5:efb738654a4fe9e96ce9c68464539a65
|
167.0 kB | Preview Download |
|
md5:71b88eacac1496a6b308c7bc013426f0
|
130.1 MB | Preview Download |
|
md5:c5d594b5159be3283b5998c54911f3a3
|
1.3 GB | Preview Download |