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Articles by Anujit Phumphan
Total Records ( 3 ) for Anujit Phumphan
  Anongrit Kangrang , Anujit Phumphan and Witsanukorn Chaiyapoom
  Rule curves are basic monthly guidelines for long term reservoir operation. Generally, the optimal rule curves are searched by reservoir simulation model and optimization techniques. A traditional reservoir simulation does not consider the risk of reservoir operation caused by natural uncertainty from inflow. A stochastic simulation model embedded genetic algorithm model is developed for searching the optimal rule curves in this study. Synthetic inflows are used in the developed model for assessing the risk reservoir operation. Single and multi-reservoir systems are applied to assess the efficiency of the proposed technique. The developed model has been applied to determine the optimal rule curves of the Bhumibol and Sirikit Reservoirs (the Chao Phraya River Basin, Thailand) for multi-reservoir system and the Ubolratana Reservoir (the Chi River Basin, Thailand) for single system. The optimal rule curves of each system were used to assess by a Monte Carlo simulation. The results show that the situations of water shortage and excess release of the obtained rule curves are not significantly different from the situation of the curves searching by tradition simulation. It can be concluded that the stochastic simulation model embedded genetic algorithm provided the optimal rule curves as considering the risk of reservoir operation. Furthermore, the proposed model is applicable for both single and multi-reservoir systems.
  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 , Anujit Phumphan , Sahalaph Homwuttiwong and Sudarat Compliew
  This study proposed a fuzzy sets model for computing ETo using only a few basic hydrological parameters including temperature, humidity and wind speed. Genetic algorithm technique was applied to calibrate membership function condition of fuzzy sets model. The proposed model was applied to determine the ETo of 5 Meteorological Stations in Thailand. The daily data of the stations were used in the study. Results showed that the fuzzy-GAs model can be used to calculate the ETo, given only the basic hydrological parameters; temperature, humidity and wind speed. The obtained ETo of the proposed model closed to the ETo of the accepted Penman-Monteith equation. Furthermore, the results presented that the Genetic algorithm calibration provided the optimal condition of membership function.
 
 
 
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