Statistical Prediction of Changes in Water Resources Trends Based on Set Pair Analysis

• Published in: Water resources management Vol. 28; no. 6; pp. 1703 - 1711
• Main Authors: Feng, L. H, Sang, G. S, Hong, W. H
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer-Verlag 01.04.2014; Springer Netherlands; Springer; Springer Nature B.V
• Subjects: Atmospheric Sciences; Civil Engineering; Discharge; Drying; Earth and Environmental Science; Earth Sciences; Earth, ocean, space; Economic development; Environment; Exact sciences and technology; Forecasting techniques; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Hydrology; Hydrology. Hydrogeology; Hydrology/Water Resources; Mathematical analysis; Physical factors; prediction; Regression; Regression analysis; Rivers; Stations; Statistical methods; Statistical prediction; Studies; Time series; Trends; Water resources; Water resources management; Far East; Asia; Honshu; Osaka Japan; Japan; China; Connection degree; Set pair analysis; Change; Water resources; Prediction; water resources; discharge; water resource management; prediction; accuracy
• ISSN: 0920-4741; 1573-1650
• DOI: 10.1007/s11269-014-0581-7

Antecedent physical factors are used in calculations, which endowed set pair analysis with predictive abilities. Set pair analysis can make predictions based on calculations using antecedent physical factors. In this study, the fitted value [Formula: see text] based on set pair analysis agreed with the actual value of the average annual discharge grade at Yamadu Station, which showed that the prediction was valid. It’s predicted that the average annual discharge at Yamadu Station in 1975 was a dry year, i.e. y < 385 m³/s, while the actual average annual discharge at Yamadu Station in 1975 was 301 m³/s, which confirmed the prediction that it was a dry year. Three physical factors were not processed using set pair analysis so they could be compared with the calculated results. These factors were used directly to establish a regression equation for the average annual discharge grade and obtained a fitted value of [Formula: see text] for the average annual discharge grade at Yamadu Station during 1953–1974. It’s known that the prediction of the average annual discharge grade for 1966 using a regression equation derived from the data differed from the actual situation, thereby indicating that set pair analysis can be used to improve the accuracy of predictions.