Environmental Engineering Reference
In-Depth Information
Lawton, J. (2001) Understanding and prediction in ecology.
Institute of Environmental and Natural Sciences. Lancaster
University, Distinguished Scientist Lecture.
Lees, M. J, Taylor, J., Chotai, A., et al . (1996). Design and imple-
mentation of a Proportional-Integral-Plus (PIP) control system
for temperature, humidity and carbon dioxide in a glasshouse.
Acta Horticulturae , 406 , 115-23.
Lees, M., Young, P.C., Beven, K. J., Ferguson, S. and Burns, J.
(1994) An adaptive flood warning system for the River Nith
at Dumfries, in River Flood Hydraulics (eds W.R. White and
J. Watts), Institute of Hydrology, Wallingford.
Li, G., Azarm, S., Farhang-Mehr, A. and Diaz, A.R. (2006) Approxi-
mation of multiresponse deterministic engineering simulations:
a dependent metamodeling approach. Strucural and Multidisci-
plinary Optimization 31 , 260-9.
Ljung, L. (1999). System Identification: Theory for the User ,2nd
edn, Prentice Hall, Upper Saddle River.
Montague, B. (ed. and trans.) (1854) Francis Bacon: The Works ,
Parry and Macmillan, Philadelphia, PA.
Norton, J.P. (1986) An Introduction to Identification ,Academic
Press, London.
Oakley, J. E. and O'Hagan, A. (2004). Probabilistic sensitivity
analysis of complex models: a Bayesian approach. Journal of the
Royal Statistical Society, Series B , 66 , 751-69.
Oreskes, N., Shrader-Frechette, K. and Belitz, K. (1994) Verifica-
tion, validation, and confirmation of numerical models in the
earth sciences. Science , 263 , 641-6.
Parkinson, S.D. and Young, P.C. (1998) Uncertainty and sensitivity
in global carbon cycle modelling. Climate Research , 9 , 157-174.
Popper, K. (1959) The Logic of Scientific Discovery , Hutchinson,
London.
Price, L., Bacon, M.A., Young, P.C. and Davies, W.J. (2001) High
resolution analysis of tomato leaf elongation: the application of
novel time-series analysis techniques. Journal of Experimental
Botany , 52 , 1925-32.
Price, L., Young, P.C., Berckmans, D., et al . (1999) Data-based
mechanistic modelling and control of mass and energy transfer
in agricultural buildings. Annual Reviews in Control , 23 , 71-82.
Romanowicz, R.J., Young, P.C., and Beven, K.J. (2006). Data
assimilation and adaptive forecasting of water levels in the River
Severn catchment. Water Resources Research , 42 (W06407),
doi:10.1029/2005WR004373.
Saltelli, A., Chan, K. and Scott, E.M. (2000) Sensitivity Analysis ,
John Wiley & Sons, Ltd, Chichester.
Silvert, W. (1993) Top-down modelling in ecology, in Concise Ency-
clopedia of Environmental Systems (ed. P.C. Young), Pergamon
Press, Oxford, p. 605.
Sivapalan, M. and Young, P.C. (2005) Downward approach to
hydrological model development. In Encyclopedia of Hydrologi-
cal Sciences (ed. M.G. Anderson), volume 3, part II, John Wiley
& Sons, Inc., Hoboken NJ, pp. 2081-98.
Spear, R.C. and Hornberger, G.M. (1980) Eutrophication in Peel
Inlet - II: identification of critical uncertainties via generalised
sensitivity analysis. Water Research , 14 ,43-9.
Storlie, C.B. and Helton, J.C. (2007) Multiple predictor smooth-
ing methods for sensitivity analysis: description of techniques.
Reliability Engineering and System Safety , 93 , 28-54.
Taylor, C.J., Young, P.C., Chotai, A., and Whittaker, J. (1998)
Nonminimal state space approach to multivariable ramp meter-
ing control of motorway bottlenecks. IEEE Proceedings - Control
Theory and Applications , 145 , 568-74.
Thiemann, M., Trosset, M., Gupta, H and Sorooshian, S. (2001)
Bayesian recursive parameter estimation for hydrologic models.
Water Resources Research , 37 , 2521-35.
Wallis, S.G., Young, P.C. and Beven, K.J. (1989) Experimental
investigation of the Aggregated Dead Zone (ADZ) model for
longitudinal solute transport in stream channels. Proceedings
of the Institute of Civil Engineers, Part 2, 87 , 1-22.
Whitehead, P.G. and Young, P.C. (1975) A dynamic-stochastic
model for water quality in part of the Bedford-Ouse River
system, in Computer Simulation of Water Resources Sys-
tems (ed. G.C. Vansteenkiste), North Holland, Amsterdam,
pp. 417-38.
Ye, W., Bates, B.C., Viney, N.R. et al . (1997) Performance of
conceptual rainfall-runoff models in low-yielding ephemeral
catchments. Water Resources Research , 33 , 153-66.
Young, P.C. (1974) Recursive approaches to time-series analysis.
Bulletin of the Institute of Mathematics and its Applications , 10 ,
209-24.
Young, P.C. (1978) A general theory of modelling for badly defined
dynamic systems, in Modeling, Identification and Control in
Environmental Systems (ed. G.C. Vansteenkiste), North Holland,
Amsterdam, pp. 103-35.
Young, P.C. (1983) The validity and credibility of models for badly
defined systems, in Uncertainty and Forecasting of Water Quality
(eds M.B. Beck and G. van Straten), Springer-Verlag, Berlin,
pp. 69-100.
Young, P.C. (1984) Recursive Estimation and Time-Series Analysis ,
Springer-Verlag, Berlin.
Young, P.C. (1992) Parallel processes in hydrology and water
quality: a unified time series approach. Journal of the Institute of
Water and Environment Management , 6 , 598-612.
Young, P.C. (1993a) Time variable and state dependent modelling
of nonstationary and nonlinear time series, in Developments
in Time Series Analysis (ed. T. Subba Rao), Chapman & Hall,
London, pp. 374-413.
Young, P.C. (ed.) (1993b) Concise Encyclopaedia of Environmental
Systems , Pergamon Press, Oxford.
Young, P.C. (1998) Data-based mechanistic modelling of envi-
ronmental,
ecological,
economic
and
engineering
systems.
Environmental Modelling and Software , 13 , 105-22.
Young, P.C. (1999a) Data-based mechanistic modelling, general-
ized sensitivity and dominant mode analysis. Computer Physics
Communications , 115 , 1-17.
Young, P.C. (1999b) Nonstationary time series analysis and fore-
casting. Progress in Environmental Science , 1 , 3-48.
Young, P. C. (2000) Stochastic, dynamic modelling and signal
processing: time variable and state dependent parameter estima-
tion, in Nonstationary and Nonlinear Signal Processing (eds W.J.
Fitzgerald, A. Walden, R. Smith and P.C. Young), Cambridge
University Press, Cambridge, pp. 74-114.
Young, P.C. (2001a) The identification and estimation of nonlinear
stochastic systems, in Nonlinear Dynamics and Statistics (ed. A.I.
Mees), Birkhauser, Boston, pp. 127-66.
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