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Articles by Chavalit Chaleeraktrakoon
Total Records ( 3 ) for Chavalit Chaleeraktrakoon
  Anongrit Kangrang and Chavalit Chaleeraktrakoon
  Rule curves are fundamental guidelines for operating a reservoir system. The objective of this paper was to find a suitable objective function and to propose a smoothing function constraint for searching the optimal rule curves by using genetic algorithms connected simulation model. The results show that an average water shortage was the optimal objective function for searching the optimal rule curves. It can represent the situations of water deficit and excess release. The results also indicate that a moving average applied to be the constraint of searching can reduce the variation of the upper and lower rule curves. Further, the developed model has been applied to determine the optimal rule curves of the Bhumibol and Sirikit Reservoirs (the Chao Phraya River Basin, Thailand). It was shown that the model gives the rule curves which are more mitigate the situations of water deficit and excess release than the existing rule curves. It was also concluded that the genetic algorithms connected simulation with the smoothing constraint more effective than it without constraint.
  Anongrit Kangrang , Anujit Phumphan and Chavalit Chaleeraktrakoon
  This study proposes an allocation LP model that can take into account heterogeneity of land area. The divided scenario into several sub-areas based on suitable soil type for each crops was used to represent the heterogeneous character in term of water requirement and crop yield. The proposed model was applied to find the dry-season (January-May) crop pattern of the Nong Wei Irrigation Project which located in the Northeast Region of Thailand. The records of seasonal flow, requested areas, crop water requirements, evaporation and effective rainfalls of the project were used for this illustrative application. Results showed that the proposed LP model gave the optimum crop pattern with net seasonal profit which corresponding seasonal available water and required area. It provided the highest profit as compare to the existing LP model that considering homogeneous project. The obtained patterns of considering heterogeneity corresponded to the available land areas of the suitable soil type.
  Anongrit Kangrang and Chavalit Chaleeraktrakoon
  This study proposes a fuzzy sets approach for estimating irrigation efficiency of limited water resource area. Genetic algorithm technique was applied to calibrate membership function condition of fuzzy sets model. The proposed model considered the total available water resource and the farmer participation of water resource management as the input variables. The approach model was applied to determine the irrigation efficiency of the Nong Wei Irrigation Project (in the Northeast region of Thailand). Results showed that the fuzzy sets model can be used to estimate the irrigation efficiencies, given the total available water resources and the farmer participation. Furthermore, the results indicated that the farmer participation in water resource management can be calculated via the proportion of seasonal required-area and the overall land area of the irrigation project.
 
 
 
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