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Regression Analysis of Nonlinear Catchment Systems
Author(s) -
Bidwell V. J.
Publication year - 1971
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr007i005p01118
Subject(s) - streamflow , nonlinear system , drainage basin , regression , hydrology (agriculture) , mathematics , regression analysis , nonlinear regression , stepwise regression , convolution (computer science) , environmental science , statistics , computer science , geology , geography , geotechnical engineering , artificial neural network , physics , cartography , quantum mechanics , machine learning
The catchment is considered as a nonlinear system with rainfall input and streamflow output. The system is analyzed by using a discrete form of the nonlinear convolution integrals in conjunction with stepwise multiple regression to obtain a prediction equation from the available rainfall and streamflow records. Experimental results for two rural catchments show that the analytical techniques employed have practical application in the continuous simulation of complex catchment behavior.