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| 008 | 060130s2005 th uu|m rtt 0| a1eng d | ||
| 035 | _a.b11979574 | ||
| 099 | 9 | _aAIT Thesis no.WM-04-20 | |
| 100 | 0 | _aNguyen Thi Van | |
| 245 | 1 | 0 | _aApplication of genetic algorithm for water allocation in Song Chu irrigation system, Vietnam |
| 260 |
_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2005 |
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| 300 | _a77, 19, 25, 32 leaves | ||
| 490 | 1 |
_aThesis ; _vno. WM-04-20 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology | ||
| 502 | _aThesis (M.Eng.) - Asian Institute of Technology, 2005 | ||
| 520 | _aAn optimization program has been applied to the irrigation management planning in an operation irrigation system in order to allocate water to achieve the better water use efficiency. Genetic Algorithm was used as optimization technique to find optimal irrigation scheduling. Water was allocated from main canal to secondary canal. The program was written on visual C++ version 6.0 computer language and run in a Pentium III, CPU 801 MHz, RAM 248 MB computer. The objective function of this model is minimum total water supply. It is satisfy two constraints which are soil moisture content and canal system capacity constraints. The results were gained since the program was run many times. The optimal result was chosen which is the lowest water supply. Song Chu irrigation system of Thanh Hoa province, Vietnam is chosen as the study area. The system is divided to two sub-systems. They are north system and south system. However, they taken water for irrigation from same headwork that is Nhu Phuc sluice. The program was applied for two systems separately. Total water supplies at headwork giving by genetic algorithm were compared with actual water supplies which were results of previous studies. The comparison proved that the optimal water supplies by GA are much lower than actual one. The study also compare about economy and irrigation efficiency between optimal and actual value. The study indicates that the optimal irrigation scheduling does not only save water resource but also avoid water stress situation for the system. Meanwhile, it brings high net benefit to farmers in the system. | ||
| 650 | 0 | _aGenetic algorithms | |
| 650 | 0 |
_aIrrigation water _zVietnam |
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| 650 | 0 |
_aWater-supply _zVietnam |
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| 700 | 0 |
_aTawatchai Tingsanchali, _eChairperson |
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| 700 | 1 |
_aClemente, Roberto S., _eExamination Committee |
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| 700 | 1 |
_aDutta, Dushmanta, _eExamination committee |
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| 700 | 0 |
_aManukid Parnichkun, _eExamination Committee |
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| 710 | 2 |
_aWAterSPS, MARD - DANIDA, Vietnam, _eScholarship donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. WM-04-20 |
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| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B10605 |
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