Integrating parametric uncertainty and modeling results into an advisory system for watershed management

Advances in Environmental Research

Volumn 5, Issue 4, 2001, Pages 445-451

  Dorner, Sarah ^a   Swayne, David A ^a   Rudra, R P ^a   Pal, Chris ^a   Newald, Chris ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Erosion; Graphical probability models; Sediment yield; Watershed modeling

Indexed keywords

EID: 0037609342     PISSN: 10930191     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1093-0191(01)00096-X     Document Type: Article

References (19)

1. Batchelor C., Cain J. Application of belief networks to water management studies. Agric. Water Manage. 40:1999;51-57.
2. Dickinson W.T., Rudra R.P., GAMES: the Guelph model for evaluating effects of agricultural management systems on erosion and sedimentation. User's Manual, Version 3.01. School of Engineering Technical Report, 126-86, p. 76.
3. Dickinson W.T., Rudra R.P., Wall G.J. Targetting remedial measures to control non-point-source pollution. Water Resour. Bull. 26:(3):1990;499-507.
4. Dickinson W.T., Rudra R.P., Wall G.J. Identification of soil erosion and fluvial sedimentation problems. Hydrol. Process. 1:1987;111-124.
5. Dickinson, W.T., Rudra R.P, Clark D.J. 1986. A delivery ratio approach for seasonal transport of sediment.
6. Dickinson, W.T., Pall R., 1982. Identification and control of soil erosion and fluvial sedimentation in agricultural areas of the Canadian Great Lakes basin. A final report to Supply and Services Canada, Contract No. 23SU.01525-1-0433 Serial 0S081-00223.
7. Dorner S.M., Pal C., Ongley E., Swayne D.A. Case libraries and information theoretic case matching for soil and water resources management. Denzer R., Swayne D.A., Purvis M., Schimak G. Environmental Software Systems: Environmental Information and Decision Support. 1999;42-45 Kluwer Academic Publishers.
8. Gu, Y., Peiris, D.R., Crawford, J.W., McNicol, J.W., Marshall, B., Jefferies, R.A., 1994. An application of belief networks to future crop production. IEEE, 305-309.
9. Haan C.T., Storm D.E., Al-Issa T., Prabhu S., Sabbagh G.J., Edwards D.R. Effect of parameter distributions on uncertainty analysis of hydrologic models. Trans. ASAE. 41:(1):1998;65-70.
10. Heckerman, D., Horvitz D.E., Nathwani B. 1990. Toward normative expert systems: the pathfinder project. Technical Report KSL-90-08, Stanford University.
11. Lauritzen S.L., Spiegelhalter D.J. Local computations with probabilities on graphical structures and their applications to expert systems. J. R. Statis. Soc. 50:1988;157-224.
12. Parson S.C., Hamlett J.M., Robillard P.D., Foster M.A. Determining the decision making risk from AGNPS simulations. Trans. ASAE. 41:(6):1998;1679-1689.
13. Pearl J. Fusion, propagation and structuring in belief networks. Artif. Intelligence. 29:1986;241-288.
14. Pearl J. Evidential reasoning using stochastic simulation of causal models. Artif. Intelligence. 32:1987;245-257.
15. Rudra R.P., Dickinson W.T., Clark D.J., Wall G.J. GAMES: a screening model of soil erosion and fluvial sedimentation in agricultural watersheds. Can. Water Resour. J. 11:(4):1986;58-71.
16. Varis O., Kuikka S. Joint use of multiple environmental assessment models by a Bayesian meta-model: the Baltic salmon case. Ecol. Modeling. 102:1997;341-351.
17. Varis O. A belief network approach to optimization and parameter estimation: application to resource and environmental management. Artif. Intelligence. 101:1998;135-163.
18. Warwick J.J. Use of first-order uncertainty analysis to optimize successful stream water quality simulation. J. Am. Water Resour. Assoc. 33:(6):1997;1173-1185.
19. Wischmeier W.H., Smith D.D. Predicting rainfall erosion loss: a guide to conservation planning. Agriculture Handbook No. 537. 1978;USDA-ARS, Washington D.C.