Trend detection in hydrological time series by segment regression with application to Shiyang River Basin

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 2, 2010, Pages 221-233

  Shao, Quanxi ^a   Li, Zhanling ^a,b   Xu, Zongxue ^b  

^a CSIRO   (Australia)

^b Beijing Normal University   (China)

Author keywords

Change point; Segmented regression; Shiyang River; Trend analysis

Indexed keywords

ABRUPT CHANGE; ABRUPT CHANGE DETECTION; AKAIKE'S INFORMATION CRITERIONS; CHANGE-POINTS; CLIMATE VARIABLES; CONSTRAINTS METHOD; HYDROLOGICAL TIME-SERIES; MEAN ANNUAL PRECIPITATION; MODEL SELECTION; RIVER BASINS; RUNOFF COEFFICIENTS; SEGMENTED REGRESSION; SEGMENTED REGRESSIONS; TREND ANALYSIS; TREND DETECTION;

CATCHMENTS; REGRESSION ANALYSIS; RIVERS; TIME SERIES; WATERSHEDS;

RUNOFF;

CATCHMENT; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); REGRESSION ANALYSIS; RUNOFF; TEMPERATURE; TIME SERIES; TREND ANALYSIS;

CHINA; GANSU; SHIYANG BASIN;

EID: 77955054936     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-009-0312-4     Document Type: Article

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