Published November 28, 2025 | Version v2
Dataset Open

Data and Codes of Rethinking the Filling Process of Mega-dam Cascades

  • 1. ROR icon Singapore University of Technology and Design
  • 2. ROR icon The University of Tokyo
  • 3. ROR icon National University of Singapore

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