شماره مدرك :
8307
شماره راهنما :
7705
پديد آورنده :
انتشاري نجف آبادي، سجاد
عنوان :

بهره برداري تلفيقي از منابع آب سطحي و زيرزميني با استفاده از روش الگوريتم مورچه

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
آب
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده عمران
سال دفاع :
1392
صفحه شمار :
دوازده،80ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
حميدرضا صفوي
توصيفگر ها :
مديريت منابع آب , شبيه سازي , شبكه عصبي مصنوعي , بهينه سازي , دشت نجف آباد
تاريخ نمايه سازي :
1/10/92
استاد داور :
آزاده احمدي، سعيد سلطاني كوپايي
دانشكده :
مهندسي عمران
كد ايرانداك :
ID7705
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Conjunctive Use of Surface Water and Groundwater Using Ant system Optimization Sajad Enteshari Najafabadi s enteshari@cv iut ac ir Data of Submission 17 September 2013 Department of Civil Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Hamid Reza Safavihasafavi@cc iut ac irAbstract Today the water demand and surface water shortage has increasing conjunctive useis known as an approach to overcome on problems Toward this usingsimulation optimization models is a powerful technique to optimize the Operation ofsurface and groundwater systems Simulation models are able to simulate systemresponses to applied management policies Optimization models determine the bestmanagement policies among the set of possible management policies In this research artificial neural network as a simulation model and Ant algorithm as an optimizationmodel are used to determine optimal operating policies in Najafabad Plain Zayandeh Rud Sub Basin Knowing of existence of three modern irrigation network in the studyarea the management model is run for three agricultural area Nekouh Abad Rast Nekouh Abad Chap and Khamiran 240 rows of data from the 20 years data are used fortraining artificial neural networks The ANN models concluded that there are able toestimate water table levels in agricultural areas under monthly water management policy Then by combining these models with Ant optimization algorithm model Optimumwater policies for reducing water shortages are obtained the results shows waterresources shortage for agricultural needs in the study area so water demand shouldreduce to achieve sustainable development Also Determination the allocation of surfacewater and groundwater in drought and wet periods for each area is the results of thisthesis Keywords Water resource management Conjunctive use Simulation Artificial neuralnetwork ANN Optimization Ant system Najafabad plain Groundwater
استاد راهنما :
حميدرضا صفوي
استاد داور :
آزاده احمدي، سعيد سلطاني كوپايي
لينک به اين مدرک :

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