Environmental Engineering Reference
In-Depth Information
Harding, S. (1976)
Can Theories Be Refuted? Essays on the Duhem-
Quine Thesis
. Reidel, Dordrecht.
Harte, J. (1985)
Consider a Spherical Cow. A Course in Environ-
mental Problem Solving
. William Kaufmann Inc., Los Altos,
CA.
Haykin, S. (1999)
Neural Networks. A Comprehensive Foundation
,
2nd edn, Prentice Hall, Upper Saddle River, NJ.
Henebry, G.M. (1995) Spatial model error analysis using autocor-
relation indices.
Ecological Modelling
,
82
, 75-91.
Hofstadter, D.R. (1979)
Godel, Escher, Bach: An Eternal Golden
Braid
, Penguin Books, Harmondsworth.
Imai T., Sakayama, T. and Kanemori, T. (1987) Use of ground-
probing radar and resistivity surveys for archaeological investi-
gations.
Geophysics
,
52
, 137-50.
Kirkby, M.J., Naden, P.S., Burt, T.P. and Butcher, D.P. (1992)
Computer Simulation in Physical Geography
. John Wiley & Sons,
Chichester.
Klemes, V. (1983) Conceptualization and scale in hydrology.
Journal of Hydrology
,
65
, 1-23.
Klemes, V. (1997) Of carts and horses in hydrological modelling.
Journal of Hydrologic Engineering
,
1
,43-9.
Klepper, O. (1997) Multivariate aspects of model uncertainty
analysis: tools for sensitivity analysis and calibration.
Ecological
Modelling
,
101
, 1-13.
Lane, S.N. and Richards, K.S. (2001) The 'validation ' of hydrody-
namic models: some critical perspectives, in
Model Validation:
Perspectives in Hydrological Science
(eds M.G. Anderson and
P.D. Bates), John Wiley & Sons, Chichester, pp. 413-38.
Lark, R.M. (2001) Some tools for parsimonious modelling and
interpretation of within-field variation of soil and crop systems.
Soil and Tillage Research
,
58
, 99-111.
Madsen,
Morton, A. and Su arez, M. (2001) Kinds of models, in
Model Val-
idation: Perspectives in Hydrological Science
(eds M.G. Anderson
and P.D. Bates), John Wiley & Sons, Ltd, Chichester, pp. 11-21.
Mulligan, M. (1996) Modelling the complexity of landscape
response to climatic variability in semi arid environments,
in
Advances in Hillslope Processes
(eds M.G. Anderson and S.M.
Brooks), John Wiley & Sons, Ltd, Chichester, pp. 1099-149.
Mulligan, M. (1998) Hydrology in a varying as well as changing
environment, in
Hydrology in a Changing Environment. Volume
II
(eds H.S. Wheater and C. Kirby), John Wiley & Sons, Ltd,
Chichester, pp. 591-604.
Mulligan, M. and Wainwright, J. (2012)
Building Environmental
Models: A Primer on Simplifying Complexity
, John Wiley & Sons,
Ltd, Chichester.
Musters, P.A.D. and Bouten, W. (2000) A method for identifying
optimum strategies of measuring soil water contents for cali-
brating a root water uptake model.
Journal of Hydrology
,
227
,
273-86.
Nicollin, F. and Kofman, W. (1994) Ground-penetrating radar
sounding of a temperate glacier - modelling of a multilayered
medium.
Geophysical Prospecting
,
42
, 715-34.
Oreskes, N. and Berlitz, K. (2001) Philosophical issues in model
assessment, in
Model Validation: Perspectives in Hydrological
Science
(eds M.G. Anderson and P.D. Bates), John Wiley &
Sons, Ltd, Chichester, pp. 23-41.
Oreskes, N., Shrader-Frechette, K. and Bellitz, K. (1994) Verifica-
tion, validation and confirmation of numerical models in the
Earth sciences.
Science
,
263
, 641-6.
Ozelkan, E.C. and Duckstein, L. (2001) Fuzzy-conceptual rainfall-
runoff models.
Journal of Hydrology
,
253
, 41-68.
Parsons, A.J., J. Wainwright, Abrahams, A.D. and Simanton, J.R.
(1997) Distributed dynamic modelling of interrill overland flow.
Hydrological Processes
,
11
, 1833-59.
Parysow, P., Gertner, G. and Westervelt, J. (2000) Efficient approx-
imation for building error budgets for process models.
Ecological
Modelling
,
135
, 111-25.
Ratto, M., Tarantola, S. and Saltelli, A. (2001) Sensitivity analysis
in model calibration: GSA-GLUE approach.
Computer Physics
Communications
.
136
, 212-24.
Rayner, S. and Malone, E.L. (1998)
Human Choice and Climate
Change. Volume 1
. Batelle Press, Columbus, OH.
Refsgaard, J.C. and Storm, B. (1996) Construction, calibration
and validation of hydrological models, in
Distributed Hydro-
logical Modelling
(eds M.B. Abbott and J.C. Refsgaard), Reidel,
Dordrecht, pp. 41-5.
Ruddiman, W.F. (2007)
Earth's Climate: Past and Future
,2nd
edition, W.H. Freeman, New York.
RykielJr, E.J. (1996) Testing ecological models: the meaning of
validation.
Ecological Modelling
,
90
, 229-44.
Saltelli, A., Chan, K. and Scott, M. (2000)
Sensitivity Analysis
,John
Wiley & Sons, Ltd, Chichester.
Schaetzen, W.B.F. de, Walters, G.A. and Savic, D.A. (2000) Optimal
sampling design for model calibration using shortest path,
genetic and entropy algorithms.
Urban Water
,
2
, 141-52.
Seibert, J., Uhlenbrook, S., Leibundgut, C. and Halldin, S. (2000)
Multiscale calibration and validation of a concenptual rainfall
runoff model.
Physics and Chemistry of the Earth B
,
25
, 59-64.
H.
(2000)
Automatic
calibration
of
a
conceptual
rainfall-runoff
model
using
multiple
objectives.
Journal of
Hydrology
,
235
, 276-88.
Madsen, H. (2003) Parameter estimation in distributed hydro-
logical catchment modelling using automatic calibration with
multiple objectives.
Advances in Water Resources
,
26
, 205-16.
May, W. and Roeckner, E. (2001) A time-slice experiment with the
ECHAM 4 AGCM at high resolution: the impact of horizontal
resolution on annual mean climate change.
Climate Dynamics
,
17
, 407-20.
Mellett, J.S. (1995) Ground-penetrating radar applications in engi-
neering, environmental management and geology.
Journal of
Applied Geophysics
,
33
, 157-66.
Michaelides, K. and Wainwright, J. (2002) Modelling the effects of
hillslope-channel coupling on catchment hydrological response.
Earth Surface Processes and Landforms
,
27
, 1441-58.
Mode, N.A., Conquest, L.L. and Marker, D.A. (1999) Ranked set
sampling for ecological research: accounting for the total costs
of sampling.
Environmetrics
10
, 179-94.
Mode, N.A., L.L. Conquest and Marker, D.A. (2002) Incorporating
prior knowledge in environmental sampling: ranked set sam-
pling and other double sampling procedures.
Environmetrics
,
13
, 513-21.
Monte, L., Hakanson, L., Bergstrom, U.
et al
. (1996) Uncertainty
analysis and validation of environmental models: the empirically
based uncertainty analysis.
Ecological Modelling
,
91
, 139-52.
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