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ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China
Chang Juan1; Wang Genxu2; Mao Tianxu2; Sun Xiangyang2
Corresponding AuthorChang Juan
2017
Source PublicationADVANCES IN METEOROLOGY
ISSN1687-9309
PagesDOI: 10.1155/2017/9451802
SubtypeArticle
AbstractPrecisely quantitative assessments of stream flow response to climatic change and permafrost thawing are highly challenging and urgent in cold regions. However, due to the notably harsh environmental conditions, there is little field monitoring data of runoff in permafrost regions, which has limited the development of physically based models in these regions. To identify the impacts of climate change in the runoff process in the Three-River Headwater Region (TRHR) on the Qinghai-Tibet Plateau, two artificial neural network (ANN) models, one with three input variables (previous runoff, air temperature, and precipitation) and another with two input variables (air temperature and precipitation only), were developed to simulate and predict the runoff variation in the TRHR. The results show that the three-input variable ANN model has a superior real-time prediction capability and performs well in the simulation and forecasting of the runoff variation in the TRHR. Under the different scenarios conditions, the forecasting results of ANN model indicated that climate change has a great effect on the runoff processes in the TRHR. The results of this study are of practical significance for water resources management and the evaluation of the impacts of climatic change on the hydrological regime in long-term considerations.
KeywordArtificial Neural-networks 3-river Headwaters Region Support Vector Machines Yangtze-river Hydrological Regime Water Flow Prediction Impacts Glacier
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1155/2017/9451802
WOS Subject ExtendedMeteorology & Atmospheric Sciences
Indexed BySCI
WOS KeywordARTIFICIAL NEURAL-NETWORKS ; 3-RIVER HEADWATERS REGION ; SUPPORT VECTOR MACHINES ; YANGTZE-RIVER ; HYDROLOGICAL REGIME ; WATER ; FLOW ; PREDICTION ; IMPACTS ; GLACIER
Language英语
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000406205200001
Funding OrganizationNatural Science Foundation of China(91547203 ; Fundamental Research Funds for the Central Universities(LZUJBKY-2016-171) ; National Basic Research Program of China (973)(2013CBA01807) ; 41671015)
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/18905
Collection山地表生过程与生态调控重点实验室
Affiliation1.Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Gansu, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Chang Juan,Wang Genxu,Mao Tianxu,et al. ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China[J]. ADVANCES IN METEOROLOGY,2017:DOI: 10.1155/2017/9451802.
APA Chang Juan,Wang Genxu,Mao Tianxu,&Sun Xiangyang.(2017).ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China.ADVANCES IN METEOROLOGY,DOI: 10.1155/2017/9451802.
MLA Chang Juan,et al."ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China".ADVANCES IN METEOROLOGY (2017):DOI: 10.1155/2017/9451802.
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