Nonlinear regression modeling of nutrient loads in streams: A Bayesian approach

A Bayesian nonlinear regression modeling method is introduced and compared with the least squares method for modeling nutrient loads in stream networks. The objective of the study is to better model spatial correlation in river basin hydrology and land use for improving the model as a forecasting to...

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Veröffentlicht in:	Water resources research 2005-07, Vol.41 (7), p.n/a
Hauptverfasser:	Qian, S.S, Reckhow, K.H, Zhai, J, McMahon, G
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian statistics Bayesian theory eutrophication hydrologic models hydrology land use least squares MCMC pollution load rivers SPARROW surface water water quality watershed modeling
Online-Zugang:	Volltext
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