Research Article
Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms
Table 5
Situations of water shortage of the systems using synthetic inflow from historic data.
| | Rule curves | Frequency (times/year) | Magnitude (MCM/year) | Duration (year) | | Average | Maximum | Average | Maximum |
| | RC1 (existing) | μ | 0.889 | 532.169 | 1,482.370 | 9.573 | 19.780 | | σ | 0.037 | 25.134 | 144.076 | 3.414 | 6.538 |
| | RC2 (CGA) | μ | 0.883 | 381.586 | 1,465.750 | 9.248 | 20.190 | | σ | 0.039 | 29.268 | 180.698 | 3.424 | 7.595 |
| | RC3 (CGA) | μ | 0.918 | 427.853 | 1,431.100 | 12.542 | 24.320 | | σ | 0.032 | 27.612 | 188.318 | 5.252 | 8.507 |
| | RC4 (CTSA) | μ | 0.728 | 391.612 | 1,453.790 | 4.776 | 11.000 | | σ | 0.051 | 28.749 | 177.480 | 1.348 | 4.306 |
| | RC5 (CTSA) | μ | 0.911 | 404.437 | 1,442.930 | 11.918 | 23.690 | | σ | 0.034 | 28.146 | 179.992 | 5.266 | 8.304 |
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Note: μ = average, σ = standard deviation.
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