Analysis and Modeling of Time-Correlated Characteristics of Rainfall-Runoff Similarity in the Upstream Red River Basin | Zendy

Xiuli Sang | Zendy; Jianxin Xu | Zendy; Kun Zhang | Zendy; Wang Hua | Zendy

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Analysis and Modeling of Time-Correlated Characteristics of Rainfall-Runoff Similarity in the Upstream Red River Basin

Author(s) -

Xiuli Sang,

Jianxin Xu,

Kun Zhang,

Wang Hua

Publication year - 2012

Publication title -

advances in meteorology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.482

H-Index - 32

eISSN - 1687-9317

pISSN - 1687-9309

DOI - 10.1155/2012/579764

Subject(s) - surface runoff , similarity (geometry) , thresholding , upstream (networking) , runoff model , euclidean distance , structural basin , drainage basin , environmental science , hydrology (agriculture) , mathematics , geography , cartography , geology , ecology , computer science , image (mathematics) , geomorphology , artificial intelligence , geotechnical engineering , geometry , biology , computer network

We constructed a similarity model (based on Euclidean distance between rainfall and runoff) to study time-correlated characteristics of rainfall-runoff similar patterns in the upstream Red River Basin and presented a detailed evaluation of the time correlation of rainfall-runoff similarity. The rainfall-runoff similarity was used to determine the optimum similarity. The results showed that a time-correlated model was found to be capable of predicting the rainfall-runoff similarity in the upstream Red River Basin in a satisfactory way. Both noised and denoised time series by thresholding the wavelet coefficients were applied to verify the accuracy of model. And the corresponding optimum similar sets obtained as the equation solution conditions showed an interesting and stable trend. On the whole, the annual mean similarity presented a gradually rising trend, for quantitatively estimating comprehensive influence of climate change and of human activities on rainfall-runoff similarity

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