Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach

Estimation of suspended sediment load of rivers due to its impact on designing and management of water structures is an important factor in water engineering, hydraulic and environment. Several attempts have been made up to now by the researchers  to exact determine the suspended sediment load, for...

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Main Authors: Samad Imamgholizadeh, Razieh Karimi Demneh, Khalil Azhdari
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2016-12-01
Series:جغرافیا و توسعه
Subjects:
Online Access:https://gdij.usb.ac.ir/article_2925_331e6a2aa9a66305fac10dc7df2a2a42.pdf
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author Samad Imamgholizadeh
Razieh Karimi Demneh
Khalil Azhdari
author_facet Samad Imamgholizadeh
Razieh Karimi Demneh
Khalil Azhdari
author_sort Samad Imamgholizadeh
collection DOAJ
description Estimation of suspended sediment load of rivers due to its impact on designing and management of water structures is an important factor in water engineering, hydraulic and environment. Several attempts have been made up to now by the researchers  to exact determine the suspended sediment load, for example, the establishment of  relation between sediment discharge and flow discharge can be referred. The problem of this conventional method is its uncertainty. So, a number of researchers have been attempted to estimate the suspended sediment load by using intelligence methods and evolutionary algorithms. In the present research, Gene Expression Programming (GEP) was used to predict the suspended sediment load of Jelogir and Payepol stations located at the upstream of Karkheh reservoir dam. The results have been compared with sediment rating curve and FAO methods results. So, daily stream flow, suspended sediment discharge and rain height corresponding from 1986-2012 were collected and used. For this, two scenarios were defined for GEP performing. The first one has been performed by using daily stream flow and suspended sediment discharge data. The second one used the rain height information of catchment, too. The results showed that the second scenario was more accurate rather than the first one. The comparison results of test period indicated that the GEP has decreased the root mean square error (RMSE) and mean absolute error (MAE) around 91% and 94% for Jelogir station and 60% and 71% for Payepol station in relation to USBR results. Also, the results of test period denoted that GEP has decreased the RMSE and MAE around 92% and 96% for Jelogir station and 85% and 95% for Payepol station compared by FAO results
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spelling doaj.art-e15c164a898945ec987531d33a3066b62023-06-13T20:19:41ZfasUniversity of Sistan and Baluchestanجغرافیا و توسعه1735-07352676-77912016-12-01144512114010.22111/gdij.2016.29252925Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming ApproachSamad Imamgholizadeh0Razieh Karimi Demneh1Khalil Azhdari2دانشیار گروه آب و خاک دانشکده کشاورزی، دانشگاه صنعتی شاهرود، سمناندانش‌آموخته کارشناسی ‌ارشد سازه‌های آبی، دانشگاه صنعتی شاهرود، سمناندانشیار گروه آب و خاک دانشکده کشاورزی، دانشگاه صنعتی شاهرود، سمنانEstimation of suspended sediment load of rivers due to its impact on designing and management of water structures is an important factor in water engineering, hydraulic and environment. Several attempts have been made up to now by the researchers  to exact determine the suspended sediment load, for example, the establishment of  relation between sediment discharge and flow discharge can be referred. The problem of this conventional method is its uncertainty. So, a number of researchers have been attempted to estimate the suspended sediment load by using intelligence methods and evolutionary algorithms. In the present research, Gene Expression Programming (GEP) was used to predict the suspended sediment load of Jelogir and Payepol stations located at the upstream of Karkheh reservoir dam. The results have been compared with sediment rating curve and FAO methods results. So, daily stream flow, suspended sediment discharge and rain height corresponding from 1986-2012 were collected and used. For this, two scenarios were defined for GEP performing. The first one has been performed by using daily stream flow and suspended sediment discharge data. The second one used the rain height information of catchment, too. The results showed that the second scenario was more accurate rather than the first one. The comparison results of test period indicated that the GEP has decreased the root mean square error (RMSE) and mean absolute error (MAE) around 91% and 94% for Jelogir station and 60% and 71% for Payepol station in relation to USBR results. Also, the results of test period denoted that GEP has decreased the RMSE and MAE around 92% and 96% for Jelogir station and 85% and 95% for Payepol station compared by FAO resultshttps://gdij.usb.ac.ir/article_2925_331e6a2aa9a66305fac10dc7df2a2a42.pdfpayepol stationjelogir stationsuspended sediment loadgene expression programmingkarkheh river
spellingShingle Samad Imamgholizadeh
Razieh Karimi Demneh
Khalil Azhdari
Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach
جغرافیا و توسعه
payepol station
jelogir station
suspended sediment load
gene expression programming
karkheh river
title Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach
title_full Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach
title_fullStr Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach
title_full_unstemmed Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach
title_short Comparison of Conventional Methods for Estimation of Suspended Sediment Load of Karkheh River by Gene Expression Programming Approach
title_sort comparison of conventional methods for estimation of suspended sediment load of karkheh river by gene expression programming approach
topic payepol station
jelogir station
suspended sediment load
gene expression programming
karkheh river
url https://gdij.usb.ac.ir/article_2925_331e6a2aa9a66305fac10dc7df2a2a42.pdf
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AT raziehkarimidemneh comparisonofconventionalmethodsforestimationofsuspendedsedimentloadofkarkhehriverbygeneexpressionprogrammingapproach
AT khalilazhdari comparisonofconventionalmethodsforestimationofsuspendedsedimentloadofkarkhehriverbygeneexpressionprogrammingapproach