Artificial neural network simulation for prediction of suspended sediment concentration in the River Ramganga, Ganges Basin, India-中国期刊网

摘要 Therelationbetweenthewaterdischarge(Q)andsuspendedsedimentconcentration(SSC)oftheRiverRamgangaatBareilly,UttarPradesh,intheHimalayas,hasbeenmodeledusingArtificialNeuralNetworks(ANNs).Thecurrentstudyvalidatesthepracticalcapabilityandusefulnessofthistoolforsimulatingcomplexnonlinear,realworld,riversystemprocessesintheHimalayanscenario.ThemodelingapproachisbasedonthetimeseriesdatacollectedfromJanuarytoDecember(2008-2010)forQandSSC.ThreeANNs(T1-T3)withdifferentnetworkconfigurationshavebeendevelopedandtrainedusingtheLevenbergMarquardtBackPropagationAlgorithmintheMatlabroutines.Networkswereoptimizedusingtheenumerationtechnique,and,finally,thebestnetworkisusedtopredicttheSSCvaluesfortheyear2011.ThevaluesthusobtainedthroughtheANNmodelarecomparedwiththeobservedvaluesofSSC.Thecoefficientofdetermination(R2),fortheoptimalnetworkwasfoundtobe0.99.ThestudynotonlyprovidesinsightintoANNmodelingintheHimalayanriverscenario,butitalsofocusesontheimportanceofunderstandingariverbasinandthefactorsthataffecttheSSC,beforeattemptingtomodelit.Despitethetemporalvariationsinthestudyarea,itispossibletomodelandsuccessfullypredicttheSSCvalueswithverysimplisticANNmodels.

1Nibedita Bisoyi;Harish Gupta;Narayan Prasad Padhy;Govind Joseph Chakrapani. Prediction of daily sediment discharge using a back propagation neural network training algorithm: A case study of the Narmada River, India.地球物理学,2019-02.
2Pi-Chih HSU;Ching-Nuo CHEN;Chang-Tai TASI. Real-time prediction of the peak suspended sediment concentration and sediment yield of the Lao-Nung River during storms.地球物理学,2011-02.
3YANG Yunping;DENG Jinyun;ZHANG Mingjin;LI Yitian;LIU Wanli. The synchronicity and difference in the change of suspended sediment concentration in the Yangtze River Estuary.自然地理学,2015-04.
4. ON THE VERTICAL DISTRIBUTION OF SUSPENDED SEDIMENT CONCENTRATION.地球物理学,1991-03.
5徐越兰;黄俊;王克鸿. Prediction of mechanical property of E4303 electrode using artificial neural network.焊接,2004-02.
6Mustapha Boutahri Said El Yamani Samir Zeriouh Abdenabi Bouzid Ahmed Roukhe. Fingerprint Identification by Artificial Neural Network.物理,2014-06.
7Lu, Jinfa. VARIATION OF SEDIMENT YIELD AS RIVER BASIN AREA IN THE MIDDLE YELLOW RIVER BASIN.地球物理学,1999-02.
8Srinivasu Gangi Setti;R.N.Rao. Artificial neural network approach for prediction of stress-strain curve of near b titanium alloy.金属材料,2014-03.
9Juliana Aparecida Anochi;Haroldo Fraga de Campos Velho. Climate Precipitation Prediction by Neural Network.基础数学,2015-05.
10Yin-Sung HSU;Chi-ma WEI;Yuan-Chi TING;Shih-Yi YUAN;Chia-Ling CHANG;Kao-Chung CHANG. Capacitive sensing technique for silt suspended sediment concentration monitoring.地球物理学,2010-02.

Artificial neural network simulation for prediction of suspended sediment concentration in the River Ramganga, Ganges Basin, India

来源期刊

相关推荐

同分类资源更多

相关关键词

Artificial neural network simulation for prediction of suspended sediment concentration in the River Ramganga, Ganges Basin, India

来源期刊

相关推荐

同分类资源 更多

相关关键词

同分类资源更多