توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Ant Colony Optimization Model For Estimation Of Suspended Load (Gorgan River –Iran)
اطلاعات انتشار: هشتمین سمینار بین المللی مهندسی رودخانه، سال
تعداد صفحات: ۸
Suspended sediment rate estimation in rivers is very important for water resources projects. Since continues measurement is very expensive and can not be conducted for all river gauge stations, many sediment transport equations have been developed to determine its rate. However, sediment transport equations do not agree with each other and require many detailed data. Ant colony optimization (ACO) are now being used more frequently to solve optimization problems rather than those for which they were originally developed. The main purpose of this study is to application of ACO to identify the relation between sediment load and streamflow discharge for Nodeh station at Gorgan river in Iran. Numerical data are presented to compare ACO with sediment rating curve (SRC). The ACO model is found to be much better than the SRC model. The results also indicate that the ACO model may provide better performance than the SRC in the estimation of suspended sediment load.<\div>

۲Determining the Best Input Combination and Size of Data Length for Daily Evapotranspiration Modelling
اطلاعات انتشار: اولین کنفرانس بین المللی مدلسازی گیاه، آب، خاک و هوا، سال
تعداد صفحات: ۱۱
Evapotranspiration, is a major part of the hydrologic cycle and plays an important role in water resource development and management, especially in the arid and semi–arid climatic regions such as Iran where water resources are limited. Evapotranspiration can be measured directly by lysimeter, or estimated by the empirical formulas. Using lysimeter is expensive and time consuming; also empirical formulas are unsuitable for all variations of time and place. It is difficult to obtain an accurate formula for ETO estimation that is suitable to encompass all environments, because evapotranspiration is an incidental, nonlinear, complex and unsteady process. Soft computing models are able to handle noisy data from a dynamic and nonlinear system such as evapotranspiration. But, they do not have the ability of pre–processing before model development. In this study, the Gamma Test (GT) technique is applied to find the best input combination and number of sufficient data points for evapotranspiration modelling under arid conditions. It has been found that the minimum required variables to construct a good nonlinear model under arid conditions are the minimum and maximum air temperature and wind speed data.<\div>
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