Research on long-term prediction of rainfall and runoff in Xinfengjiang River basin

J. Chen; W. Zhou; P. Wang

Research on long-term prediction of rainfall and runoff in Xinfengjiang River basin

J. Chen, W. Zhou, P. Wang

Research output: Contribution to journal › Article › peer-review

Abstract

Based on normalized periodic regression forecasting model, the monthly precipitation and runoff in Xinfengjiang River basin are analyzed, simulated and predicted. The fitting and predicting results are close to the observed ones, which proves that the model is feasible. The model also has a strong point that can ensure the confidence interval by proceeding the F-test on P_F, the maximum left-hand probability, with abundant serial information.

Original language	English
Pages (from-to)	104-107
Number of pages	4
Journal	Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni
Volume	40
Issue number	3
State	Published - May 2001
Externally published	Yes

Keywords

Normalized periodic regression forecasting
Rainfall variation
Runoff variation
Xinfengjiang River basin

Cite this

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title = "Research on long-term prediction of rainfall and runoff in Xinfengjiang River basin",

abstract = "Based on normalized periodic regression forecasting model, the monthly precipitation and runoff in Xinfengjiang River basin are analyzed, simulated and predicted. The fitting and predicting results are close to the observed ones, which proves that the model is feasible. The model also has a strong point that can ensure the confidence interval by proceeding the F-test on PF, the maximum left-hand probability, with abundant serial information.",

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author = "J. Chen and W. Zhou and P. Wang",

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T1 - Research on long-term prediction of rainfall and runoff in Xinfengjiang River basin

AU - Chen, J.

AU - Zhou, W.

AU - Wang, P.

PY - 2001/5

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N2 - Based on normalized periodic regression forecasting model, the monthly precipitation and runoff in Xinfengjiang River basin are analyzed, simulated and predicted. The fitting and predicting results are close to the observed ones, which proves that the model is feasible. The model also has a strong point that can ensure the confidence interval by proceeding the F-test on PF, the maximum left-hand probability, with abundant serial information.

AB - Based on normalized periodic regression forecasting model, the monthly precipitation and runoff in Xinfengjiang River basin are analyzed, simulated and predicted. The fitting and predicting results are close to the observed ones, which proves that the model is feasible. The model also has a strong point that can ensure the confidence interval by proceeding the F-test on PF, the maximum left-hand probability, with abundant serial information.

KW - Normalized periodic regression forecasting

KW - Rainfall variation

KW - Runoff variation

KW - Xinfengjiang River basin

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JO - Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni

JF - Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni

IS - 3

ER -

Research on long-term prediction of rainfall and runoff in Xinfengjiang River basin

Abstract

Keywords

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