Research Article
Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms
Table 6
Situations of excess water release 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 | 0.648 | 550.036 | 3,511.112 | 2.817 | 7.140 | σ | 0.045 | 33.939 | 825.296 | 0.534 | 1.939 |
| RC2 (CGA) | μ | 0.472 | 390.421 | 3,247.282 | 2.304 | 5.590 | σ | 0.051 | 39.386 | 808.863 | 0.461 | 1.843 |
| RC3 (CGA) | μ | 0.495 | 438.704 | 3,310.449 | 2.163 | 5.330 | σ | 0.050 | 36.914 | 785.299 | 0.410 | 1.596 |
| RC4 (CTSA) | μ | 0.482 | 400.120 | 3,197.957 | 2.296 | 5.380 | σ | 0.050 | 38.579 | 814.755 | 0.475 | 1.600 |
| RC5 (CTSA) | μ | 0.504 | 412.739 | 3,225.344 | 2.457 | 5.850 | σ | 0.051 | 37.803 | 801.793 | 0.525 | 1.866 |
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Note: μ = average, σ = standard deviation.
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