A knowledge-based model of watershed assessment for sediment

Environmental Modelling and Software

Volumn 19, Issue 4, 2004, Pages 423-433

  Dai, J J ^a   Lorenzato, S ^b   Rocke, D M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA DEPARTMENT OF WATER RESOURCES   (United States)

Author keywords

California; Decision support; Environmental modeling; GIS; Water pollution

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; ECOSYSTEMS; EXPERT SYSTEMS; INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; PROBLEM SOLVING; SEDIMENTS; WATERSHEDS;

ECOSYSTEM MANAGEMENT DECISION SUPPORT (EMDS) SUPPORT; REGULATORY DECISIONS;

ENVIRONMENTAL IMPACT;

DECISION SUPPORT SYSTEM; GIS; KNOWLEDGE BASED SYSTEM; SEDIMENT POLLUTION; WATER POLLUTION;

CALIFORNIA; NORTH AMERICA; UNITED STATES;

EID: 1442266623     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-8152(03)00158-0     Document Type: Article

References (62)

1. Banai-Kashani R. A new analytical method for site suitability analysis: the hierarchical process. Environmental Management. 13:1989;685-693.
2. Beechie T.J., Sibley T.H. Relationships between channel characteristics, woody debris, and fish habitat in northwestern Washington streams. Transactions of the American Fisheries Society. 126:1997;217-229.
3. Bilby R., Ward W. Changes in characteristics and function of woody debris with increasing size of streams in western Washington. Transactions of the American Fisheries Society. 118:1989;368-378.
4. Booty W.G., Lam D.C.L., Wong I.W.S., Siconolfi P. Design and implementation of an environmental decision support system. Environmental Modelling and Software. 16:2001;453-458.
5. Burns J.W. Spawning bed sedimentation studies in north California streams. California Fish and Game. 56:1970;253-279.
6. Cederholm C.J., Reid L.M., Salo E.O. Cumulative effects of logging road sediment on salmonid populations in the Clearwater River, Jefferson County, Washington. Proceedings of the Conference on Salmon Spawning Gravel: A Renewable Resource in the Pacific Northwest:1981;38-74 Washington State University, Washington Water Research Center. Report 39.
7. Chapman D.W. Critical review of variables used to define effects of fines in reds of large salmonids. Transactions of the American Fisheries Society. 117:1988;1-25.
8. Chen K., Blong R., Jacobson C. MCE-RISK: integrating multicriteria evaluation and GIS for risk decision-making in natural hazards. Environmental Modelling and Software. 16:2001;387-397.
9. Dai J.J., Rocke D.M. A GIS-based approach to spatial allocation of area source solvent emissions. Environmental Modelling and Software. 15:2000;293-302.
10. Dai, J.J., Rocke, D.M., 2001. A Knowledge Base for Watershed Assessment for Sediment (WAS). Technical Report, CIPIC, University of California, Davis, CA.
11. Davidson D.A., Theocharopoulos S.P., Bloksma R.J. A land evaluation project in Greece using GIS and based on Boolean and fuzzy set methodologies. International Journal of Geographical Information Systems. 8:1994;369-384.
12. Dietrich W.E., Real de Asua R., Coyle J., Orr B., Trso M. A validation study of the shallow slope stability model, SHALSTAB. Forested Lands of Northern California. 1998;. Prepared for Louisiana-Pacific Corporation, Calpella, CA.
13. Fetherston K.L., Naiman R.J., Bilby R.E. Large woody debris, physical process, and riparian forest development in montane river networks of the Pacific Northwest. Geomorphology. 13:1995;133-144.
14. Flanagan S.A., Furniss M.J., Ledwith T.S., Love M.A., Moore K., Ory J. Methods for Inventory and Environmental Risk Assessment of Road Drainage Crossings. Water/Road Interaction Technology Series. 1998;USDA Forest Service, Technology and Development Program.
15. Flosi G., Downie S., Hopelain J., Bird M., Coey R., Collins B. California Salmonid Stream Habitat Restoration Manual. 1998;California Department of Fish and Game, Inland Fisheries Division, Sacramento, CA.
16. Hall G.B., Wang F., Subaryono J. Comparison of Boolean and fuzzy classification methods in land suitability analysis by using geographical information systems. Environment and Planning A. 24:1992;497-516.
17. Holland J.M. Using fuzzy logic to evaluate environmental threats. Sensors. 11:1994;57-61.
18. Jiang H., Eastman J.R. Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Science. 14:2000;173-184.
19. Kaufmann A. Introduction to the theory of fuzzy subsets. Fundamental Theoretical Elements. vol. 1:1975;Academic Press, New York.
20. Keithley C. Evaluating Stream and Watershed Conditions in Northern California. 2000;California Department of Fish and Games, Sacramento, CA.
21. Klamt, R.B., 2001a. Personal communications with the staff of the North Coast Regional Water Quality Control Board (NCRWQCB), Santa Rosa, CA.
22. Klamt, R.B., 2001b. Methods Manual for Water Quality Data Gathering and Analysis for the North Coast Watershed Assessment Program. North Coast Regional Water Quality Control Board, 5550 Skylane Boulevard, Suit A, Santa Rosa, CA 95403.
23. Knopp, C., 1993. Testing Indices for Cold Water Fish Habitat. Final Report for the North Coast Regional Water Quality Control Board, Santa Rosa, CA.
24. Kollias V.J., Kalivas D.P. The enhancement of a commercial geographical information system (ARC-INFO) with fuzzy processing capabilities for the evaluation of land resources. Computers and Electronics in Agriculture. 20:1998;79-95.
25. KRIS Noyo. The Klamath Resources Information System (KRIS) for the Noyo River Watershed in Mendocino County, California. 2000;Institute for Fisheries Resources, San Francisco, CA.
26. Kuncheva L.I., Wrench J., Jain L.C., Al-Zaidan A.S. A fuzzy model of heavy metal loadings in Liverpool bay. Environmental Modelling and Software. 15:2000;161-167.
27. Leland, D., 2001. Personal communications with the staff of the North Coast Regional Water Quality Control Board (NCRWQCB), Santa Rosa, CA.
28. Lewis J. Evaluating the impacts of logging activities on erosion and suspended sediment transport in the Caspar Creek watersheds. Proceedings of the Conference on Coastal Watersheds: The Caspar Creek Story, May 6, 1998:1998;. USDA Forest Service Gen. Technical Report PSW-GTR-168.
29. Lisle T.E. Sediment transport and resulting deposition in spawning gravels, north coastal California. Water Resources Research. 25:1989;1303-1319.
30. Lisle T.E., Hilton S. The volume of fine sediment in pools: an index of sediment supply in gravel-bed streams. Water Resources Bulletin. 28:1992;371-383.
31. Lisle T.E., Lewis J. Effects of sediment transport on survival of salmonid embryos in a natural stream: a simulation approach. Canadian Journal of Fisheries and Aquatic Sciences. 49:1992;2337-2344.
32. Mangelsdorf, A., Lundborg, H., 1997. Garcia River Watershed Water Quality Attainment Strategy for Sediment. Prepared for the North Coast Regional Water Quality Control Board, 5550 Skylane Boulevard, Santa Rosa, CA 95403.
33. Mays M.D., Bogardi I., Bardossy A. Fuzzy logic and risk-based soil interpretations. Geoderma. 77:1997;299-303.
34. McBratney A.B., Odeh I.O.A. Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma. 77:1997;85-89.
35. McHarg I. Design with Nature. 1969;Natural History Press, New York.
36. Newcombe C.P., MacDonald D.D. Effects of suspended sediments on aquatic ecosystems. North American Journal of Fisheries Management. 11:1991;73-82.
37. NCRWQCB. Water Quality Control Plan for the North Coast Region. 1994;North Coast Regional Water Resources Control Board (NCRWQCB), Santa Rosa, CA.
38. NCWAP. North Coast Watershed Assessment Program Methods Manual (draft). 2001;North Coast Watershed Assessment Program (NCWAP), Sacramento, CA.
39. NMFS. Biological Opinion and Conference Opinion on Implementation of Land and Resource Management Plans and Land Use Planning Documents. 1997;National Marine Fisheries Service (NMFS), Southwest Region, 501 West Ocean Blvd, Long Beach, CA.
40. Pereira J.M.C., Duckstein L. A multiple criteria decision-making approach to GIS-based land suitability evaluation. International Journal of Geographical Information Systems. 7:1993;407-424.
41. PWA, 1998. Sediment Source Investigation for the Lower Eel River (draft). Prepared by Pacific Watershed Associates (PWA) for the US Environmental Protection Agency, San Francisco, CA.
42. Reynolds, K.M., 1999. EMDS Users Guide (version 2.0): Knowledge-Based Decision Support for Ecological Assessment. General Technical Report PNW-GTR 470. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR. http://www.fsl.orst.edu/emds/.
43. Reynolds K., Saunders M., Foster M., Olson R., Schmoldt D., Latham D., Miller B., Steffenson J. A knowledge-based information management system for watershed analysis in the Pacific Northwest US. AI Applications. 10:1996;9-22.
44. Reynolds K.M., Jensen M., Andreasen J., Goodman I. Knowledge-based assessment of watershed condition. Computers and Electronics in Agriculture. 27:2000;315-333.
45. Rocke, D.M., Dai, J.J., 2002. A Knowledge-Based Decision Support System for Watershed Assessment for Sediment. Final report prepared for the California State Water Resources Control Board, Sacramento, CA.
46. Rosgen D. Applied River Morphology. 1996;Wildland Hydrology, Pagosa Springs, CO.
47. Ruffolo J. TMDLs: The Revolution in Water Quality Regulation. 1999;CRB-99-005, California Research Bureau, 900 N Street, Sacramento, CA 94237.
48. Salski A., Sperlbaum C. Fuzzy logic approach to modeling in ecosystem research. Lecture Notes in Computer Science. XX:1991;520-527.
49. Schmoldt D.L., Rauscher H.M. Building Knowledge-Based Systems for Natural Resource Management. 1996;Chapman and Hall, New York.
50. Smith P.N. Environmental project evaluation: a fuzzy logic based method. International Journal of System Science. 28:1997;467-474.
51. Stoms D.M., McDonald J.M., Davis F. Fuzzy assessment of land suitability for scientific research reserves. Environmental Management. 29:2002;545-558.
52. Stone N.D., Coulson R.N., Frisbie R.E., Loh D.K. Expert systems in entomology: three approaches to problem solving. Bulletin of Entomology Society of America. 32:1986;161-166.
53. Tappel P.D., Bjornn T.C. A new method of relating size of spawning gravel to salmonid embryo survival. North American Journal of Fisheries Management. 3:1983;123-135.
54. USEPA, 1999. Noyo River Total Maximum Daily Load for Sediment. US Environmental Protection Agency (USEPA). http://www.epa.gov/region09/water/tmdl.
55. Van Ranst E.H., Tang H., Groenemans R., Sinthurahat S. Application of fuzzy logic to land suitability for rubber production in peninsular Thailand. Geoderma. 70:1996;1-9.
56. Waters T.F. Sediment in streams: sources, biological effects, and control. American Fisheries Society Monograph. 7:1995.
57. Walters J.R., Nielsen N.R. Crafting Knowledge-Based Systems. 1988;Wiley, New York.
58. Weaver, W.E., Hagans, D.K., 1994. Handbook for Forest and Ranch Roads: A Guide for Planning, Designing, Constructing, Reconstructing, Maintaining and Closing Wild-land Roads. Prepared for the Mendocino County Resources Conservation District, Ukiah, CA in cooperation with the California Department of Forestry and Fire Protection and the USDA Soil Conservation Service.
59. White W.R. Sedimentation problems in river basins. Studies and Reports in Hydrology. 1982;Project 5.3 of the International Hydrological Program, UNESCO.
60. Zadeh L.A. Fuzzy sets. Information and Control. 8:1965;338-353.
61. Zadeh L.A. Probability measures of fuzzy events. Journal of Mathematical Analysis and Application. 23:1968;421-427.
62. Zadeh L.A. A theory of approximate reasoning. Hayes E., Michie D., Mikulich L.I. Machine Intelligence 9. 1979;Hatsted Press, New York.