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مروری بر روشهای مختلف تعیین پارامترهای معادلات نفوذ با رویکرد معکوس در آبیاری جویچه‌ای | ||
| تحقیقات آب و خاک ایران | ||
| مقاله 5، دوره 50، شماره 9، بهمن 1398، صفحه 2155-2170 اصل مقاله (902.73 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2019.277469.668144 | ||
| نویسندگان | ||
| مینا رحیمی1؛ پیام کمالی2؛ وحید رضاوردی نژاد* 3؛ حامد ابراهیمیان4 | ||
| 1دانشجوی دکتری، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران | ||
| 2دانشجوی دکتری، گروه مهندسی آبیاری و زهکشی، پردیس ابوریحان دانشگاه تهران، تهران، ایران | ||
| 3گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران | ||
| 4گروه مهندسی آبیاری و آبادانی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، تهران، ایران | ||
| چکیده | ||
| به منظور افزایش بازده سامانههای آبیاری سطحی، لازم است که ضرایب معادلات نفوذ با دقت بالایی تخمین زده شوند. مدلسازی معکوس از روشهای دقیق در برآورد ضرایب معادلات نفوذ میباشد. در این تحقیق، در مرحله اول عملکرد معادلات مختلف نفوذ شامل خانواده نفوذ NRCS، کاستیاکف، کاستیاکف اصلاح شده، کاستیاکف اصلاح شده شاخهای، خانواده شدت نفوذ-زمان و زمان مشخص ارزیابی و مقایسه شدند. سپس بهترین معادله نفوذ بطوریکه که بتواند فازهای پیشروی، پسروی و رواناب را با کمترین خطا برآورد کند تعیین گردید. با مقایسه معادلات مختلف نفوذ، روش کاستیاکف اصلاح شده با متوسط درصد خطای 14/2، 99/2 و 95/2 به ترتیب در فازهای پیشروی، پسروی و رواناب، به عنوان معادله نفوذ با بهترین عملکرد تعیین شد. در مرحله دوم براساس معادله نفوذ بهینه (کاستیاکف اصلاح شده)، سه نرمافزار متداول در برآورد معکوس پارامترهای معادله نفوذ شامل: WinSRFR، IPARM و SIPAR-ID با استفاده از دادههای میدانی چهار جویچه آبیاری تحت کشت ذرت واقع در مزرعه پژوهشی پردیس کشاورزی و منابع طبیعی دانشگاه تهران در سال 1393، مورد مقایسه قرار گرفتند. نتایج نشان داد که مدل IPARM با متوسط درصد خطای40/2، 87/5 و 11/2 به ترتیب در فازهای پیشروی، پسروی و رواناب عملکرد نسبتاً مشابهی با نرمافزار WinSRFR داشت؛ اما فاز پسروی را با خطای تقریباً دو برابری نسبت به آن برآورد نمود. مدل SIPAR-ID نیز عملکرد ضعیف با بیشترین نوسانات در مقادیر ضرایب را نشان داد. | ||
| کلیدواژه‌ها | ||
| آبیاری سطحی؛ پارامترهای نفوذ؛ جویچه؛ مدلسازی معکوس | ||
| عنوان مقاله [English] | ||
| A Review on Different Methods for Determining Parameters of Infiltration Equations with Inverse Approach in Furrow Irrigation | ||
| نویسندگان [English] | ||
| Mina Rahimi1؛ Payam Kamali2؛ Vahid Rezaverdinejad3؛ Hamed Ebrahimian4 | ||
| 1Ph.D. Student, Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran | ||
| 2. Ph.D. Student, Department of Irrigation and Drainage Engineering, Aboureihan Campus, University of Tehran, Tehran, Iran | ||
| 3Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran | ||
| 4Dept. of Irrigation Eng., Campus of Agriculture and Natural Resources, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| In order to increase the efficiency of surface irrigation systems, it is necessary to estimate the coefficients of infiltration equations with high precision. Inverse modeling is a precise method for estimating the coefficients of infiltration equations. In this research in the first step, the performance of different infiltration equations including NRCS intake families, Kostiakov, modified Kostiakov, modified Kostiakov Branch Functions, Time-Rated Intake Family and Characteristic time were evaluated and compared. Then the best infiltration equation was determined so that it could estimate the advance, recession and runoff phases with the least error. By comparing different infiltration equations, the modified Kostiakov method with a mean percentage error of 2.14, 2.99 and 2.95 was determined as the best-performance infiltration equation in advance, recession and runoff phases, respectively. In the second step, based on the optimal infiltration equation (modified Kostiakov), three commonly used software for inverse estimation of infiltration equation parameters including: WinSRFR, IPARM and SIPAR-ID were compared using field data of four furrow irrigation under corn cultivation located at the research farm of agriculture and natural resources campus of university of Tehran in 2014. The results showed that the IPARM model with mean percentage errors of 2.40, 5.87, and 2.11, respectively, in advance, recession and runoff phases had a similar performance with the WinSRFR software, but it estimated the recession phase with an error of almost two times as compared to WinSRFR. The SIPAR-ID model in estimating the infiltration equation coefficients had poor performance with the highest volatility in the coefficients values. | ||
| کلیدواژه‌ها [English] | ||
| Surface irrigation, Infiltration parameters, inverse modeling | ||
| مراجع | ||
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