7123

455 دكتري

دكتري

خاك شناسي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي

1391

دوازده،106ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

مجيد افيوني، محمدعلي حاج عباسي

فريبرز عباسي، حسين نظام آبادي پور، فريد شيخ الاسلام

1/8/91

حسن طباطبائي، جهانگير عابدي كوپائي، نوراله ميرغفاري

مهندسي كشاورزي

ID455 دكتري

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

102 Modeling of Nitrate Leaching from a Potato Field under Tape Irrigation using HYDRUS 2D and Soft Computing Techniques Hosein Shekofteh Email address hoseinshekofteh@yahoo com September 26 2012 Department of Soil Science Isfahan University of Technology Isfahan 84156 83111 Iran Supervisor Majid Afyuni Email address afyuni@cc iut ac ir Supervisor Mohammad Ali Hajabbasi Email address hajabbas@cc iut ac ir Advisor Fariborz Abbasi Advisor Hossein Nazamabadi pour Advisor Farid Sheikholeslam Department Graduate Program Coordinator Ahmad Raiasi Department of Soil Science College of Agriculture Isfahan University of technology Isfahan Iran Agricultural Engineering research Institute Karaj Iran Department of Electrical Engineering Shahid Bahounar University of Kerman Kerman Iran Department of Electrical Engineering Isfahan University of Technology Isfahan Iran Abstract Conventional application of nitrogen fertilizers via irrigation is likely to be responsible for the increased nitrate in groundwater of the irrigated agricultures Thus appropriating water and nutrient management is necessary to minimize groundwater pollution and to maximize nutrient use s efficiency as well as crop production To fulfill these requirements drip fertigation is an important alternative Designing and operation of drip fertigation system requires understanding of nutrient leaching behavior in cases of shallow rooted crops such as potatoes which cannot extract nutrient from lower soil depth In first part of the present studies HYDRUS 2D package was applied to model and simulate nitrate leaching from tape irrigation for varying emitter discharge rates and various amounts of fertilizer doses In the second part of the present study the capability of Mamdani fuzzy inference system MFIS and an adaptive network based fuzzy inference system ANFIS were investigated with regard to prediction of nitrate leaching obtained from HYDRUS simulation The correlation coefficient normalized root mean square error and relative mean absolute eroror percentage between the data obtained by HYDRUS 2D and the estimated values using ANFIS and MFIS modeles were 0 99 0 023 0 66 0 99 0 086 and 2 38 respectively ANFIS model was more accurate than the MFIS model Key Words Nitrate leaching HYDRUS 2D ANFIS Fuzzy inference system Genetic algorithms Potato

مجيد افيوني، محمدعلي حاج عباسي

فريبرز عباسي، حسين نظام آبادي پور، فريد شيخ الاسلام

حسن طباطبائي، جهانگير عابدي كوپائي، نوراله ميرغفاري