Environmental Engineering Reference
In-Depth Information
Young, P.C. (2003) Top-down and data-based mechanis-
tic modelling of rainfall-flow dynamics at the catch-
ment scale. Hydrological Processes, 17, 2195-2217.
Young, P.C. (2006) Data-based mechanistic modelling
and river flow forecasting. In: Proceedings 14th IF AC
Symposium on System Identification, Newcastle,
NSW, pp. 756-761.
Young, P.C. (2008) The refined instrumental variable
method: unified estimation of discrete and continu-
ous-time transfer function models. Journal Europ ยด en
des Syst
Environmental Research and Risk Assessment,
doi: 10.1007/s00477-008-0271-1 (published online
15 October 2008).
Young, P.C., Castelletti, A. and Pianosi, F. (2007) The
data-based mechanistic approach in hydrological
modelling. In: Castelletti, A. and Sessa, R.S. (eds)
Topics on System Analysis and Integrated Water
Resource Management.
Elsevier, Amsterdam,
pp. 27-48.
Young, P.C., Chotai, A. and Beven, K.J. (2004) Data-
based mechanistic modelling and the simplification
of environmental systems. In: Wainwright, J. and
Mullgan, M. (eds) Environmental Modelling: Finding
Simplicity in Complexity. Wiley, Chichester, pp.
371-388.
Young, P.C., Leedal, D. and Beven, K.J. (2009) Reduced
order emulation of distributed hydraulic models.
In: Proceedings 15th IF AC Symposium on System
Identification SYSID09, St Malo, France,
emes Automatises, 42, 149-179.
Young, P.C. and Beven, K.J. (1994) Data-based mecha-
nistic (DBM) modelling and the rainfall-flow nonlin-
earity. Environmetrics, 5, 335-363.
Young, P.C. and Jakeman, A.J. (1979) Refined instrumen-
tal variable methods of time-series analysis: Part I,
SISO systems. International Journal of Control, 29,
1-30.
Young, P.C. and Lees, M.J. (1993) The active mixing
volume: a new concept in modelling environmental
systems. In: Barnett, V. and Turkman, K. (eds) Statis-
tics for the Environment. John Wiley, Chichester, pp.
3-43.
Young, P.C. and Pedregal, D.J. (1999) Recursive and
en-bloc approaches to signal extraction. Journal of
Applied Statistics, 26, 103-128.
Young, P.C. and Ratto, M. (2008) A unified approach to
environmental
pp.
1762-1767.
Young, P.C., McKenna, P. and Bruun, J. (2001) Identifi-
cation of nonlinear stochastic systems by state depen-
dent parameter estimation. International Journal of
Control, 74, 1837-1857.
Young, P.C., Romanowicz, R.J. and Beven, K.J. (2006)
Updating Algorithms in Flood Forecasting. Technical
Report UR5, Flood Risk Management Research
Consortium (www.floodrisk.org.uk).
systems modeling.
Stochastic
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