survey of integrated and non-integrated formulae on suspended sediment load; case study: soolegan river, north karoon basin, iran

نویسندگان

n sedaei

a kavian

چکیده

predictions of suspended sediment load for soolegan river, iran using selected empirical equ-ations were made based on 355 data sets. data include flow discharges from 3.11 m3/s to 43.81 m3/s, flow velocities from 0.22 m/s to 1.03 m/s, and flow depths from 0.5 to 1.03 m. equations of einstein (1950), bagnold (1966), toufalleti (1968), brooks (1963), chang-simons-richardson(1965),lane-kalinske (1941) are used in the evaluations. selection was made based on the purpose of this paper, illustrating the performance of six suspended sedi-ment formulas in soolegan river; the integrated formulae were also evaluated. graphical comparisons of the calculated and measured transport rates are shown. the accuracy and re-liability of these formulas are verified. results of the evaluations showed that brooks had the best estimations while the same results for integrated formulae showed that lane –kalinske and bagnold estimated the suspended sediment discharges better than integrated and non-integrated ones.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Survey of Integrated and Non-Integrated Formulae on Suspended Sediment Load; Case Study: Soolegan River, North Karoon Basin, Iran

Predictions of suspended sediment load for Soolegan River, Iran using selected empirical equ-ations were made based on 355 data sets. Data include flow discharges from 3.11 m3/s to 43.81 m3/s, flow velocities from 0.22 m/s to 1.03 m/s, and flow depths from 0.5 to 1.03 m. Equations of Einstein (1950), Bagnold (1966), Toufalleti (1968), Brooks (1963), Chang-Simons-Richardson(1965),Lane-Kalinske (...

متن کامل

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...

متن کامل

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

Estimation of the suspended sediment load in rivers with different hydrological methods (case study: Siahrood river in Mazandaran)

In a watershed, sediment arises due to the erosion and some factors such as pastures destruction,change users, no reasonable cultivation. That causes problems such as sedimentation in reservoirs andreduces their useful volume, reducing water quality in agricultural consumption; reduce the efficiencyof hydraulic structures and some other environmental problems. Changes in sediment load in a rive...

متن کامل

Applying Artificial Neural Network Algorithms to Estimate Suspended Sediment Load (Case Study: Kasilian Catchment, Iran)

Estimate of sediment load is required in a wide spectrum of water resources engineering problems. The nonlinear nature of suspended sediment load series necessitates the utilization of nonlinear methods to simulate the suspended sediment load. In this study Artificial Neural Networks (ANNs) are employed to estimate daily suspended sediment load. Two different ANN algorithms, Multi Layer Perce...

متن کامل

Modeling of streamflow- suspended sediment load relationship by adaptive neuro-fuzzy and artificial neural network approaches (Case study: Dalaki River, Iran)

Modeling of stream flow–suspended sediment relationship is one of the most studied topics in hydrology due to itsessential application to water resources management. Recently, artificial intelligence has gained much popularity owing toits application in calibrating the nonlinear relationships inherent in the stream flow–suspended sediment relationship. Thisstudy made us of adaptive neuro-fuzzy ...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
journal of water sciences research

ISSN 2251-7405

دوره 4

شماره 1 2012

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023