comparison of two rainfall – runoff models for simulation of stream flow (case study: doiraj river basin in ilam province, iran)

Authors

حیدر ابراهیمی

دانشجوی دکتری رشته علوم و مهندسی آبخیزداری، دانشگاه کاشان، ایران علیرضا مقدم نیا

دانشیار گروه احیای مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران، ایران حاجی کریمی

دانشیار گروه مرتع و آبخیزداری، دانشکده کشاورزی، دانشگاه ایلام، ایران

abstract

the runoff simulation in a watershed provides insight on the processes affecting runoff generation and the stream flow characteristics like spatial and temporal variability of stream flow. this insight helps managers and planners in informed decision-makings on water resources management and planning. the objective of this study is to compare the performances of the complex swat model and the simple ihacres model for simulating runoff in the doiraj river basin, ilam province. for this purpose, swat model due to having many parameters affecting stream flow and the use of gis, and ihacres model due to the low and easy access data requirements, are very practical. in this study, the data over a period from 1994 to 2004 and the statistical criteria of r2, br2, and ns were used to evaluate performances of ihacres and swat models. for ihacres model, values of r2, br2 and ns were estimated equal to 0.34, 0.112 and 0.33, respectively for calibration period and values of 0.47, 0.235 and 0.43, respectively for validation period. in addition, for swat model, the coefficients were estimated equal to 0.41, 0.314 and 0.12 respectively, for calibration period and values of 0.68, 0.632 and 0.56, respectively for validation period. final results of this study showed higher performance of swat model relative to ihacres model for simulating daily runoff in doiraj river basin and can be used to simulate runoff in the watersheds with limited data and similar natural conditions.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

technical and legal parameters for determination of river boundary,( case study haraz river)

چکیده با توسعه شهر نشینی و دخل و تصرف غیر مجاز در حریم رودخانه ها خسارات زیادی به رودخانه و محیط زیست اطراف آن وارده می شود. در حال حاضر بر اساس آئین نامه اصلاح شده بستر و حریم رودخانه ها، حریم کمی رودخانه که بلافاصله پس از بستر قرار می گیرد از 1 تا20 متر از منتهی الیه طرفین بستر رودخانه تعیین، که مقدار دقیق آن در هر بازه از رودخانه مشخص نیست. در کشورهای دیگر روشهای متفاوتی من جمله: درصد ریسک...

15 صفحه اول

a study on thermodynamic models for simulation of 1,3 butadiene purification columns

attempts have been made to study the thermodynamic behavior of 1,3 butadiene purification columns with the aim of retrofitting those columns to more energy efficient separation schemes. 1,3 butadiene is purified in two columns in series through being separated from methyl acetylene and 1,2 butadiene in the first and second column respectively. comparisons have been made among different therm...

Application of Machine Learning Approaches in Rainfall-Runoff Modeling (Case Study: Zayandeh_Rood Basin in Iran)

Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...

full text

the application of multivariate probit models for conditional claim-types (the case study of iranian car insurance industry)

هدف اصلی نرخ گذاری بیمه ای تعیین نرخ عادلانه و منطقی از دیدگاه بیمه گر و بیمه گذار است. تعین نرخ یکی از مهم ترین مسایلی است که شرکتهای بیمه با آن روبرو هستند، زیرا تعیین نرخ اصلی ترین عامل در رقابت بین شرکتها است. برای تعیین حق بیمه ابتدا می باید مقدار مورد انتظار ادعای خسارت برای هر قرارداد بیمه را برآورد کرد. روش عمومی مدل سازی خسارتهای عملیاتی در نظر گرفتن تواتر و شدت خسارتها می باشد. اگر شر...

15 صفحه اول

Comparison and evaluation of intelligent models for river suspended sediment estimation (case study: Kakareza River, Iran)

Sediment transport constantly influences river and civil structures and the lack ofinformation about its exact amount makes management efforts less effective. Hence,achieving a proper procedure to estimate the sediment load in rivers is important. We usedsupport vector machine model to estimate the sediments of the Kakareza River in LorestanProvince and the results were compared with those obta...

full text

My Resources

Save resource for easier access later


Journal title:
مرتع و آبخیزداری

جلد ۶۹، شماره ۳، صفحات ۵۲۹-۵۴۱

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023