Testing of Soil Moisture Prediction Model for Army Land Managers
Publication: Journal of Irrigation and Drainage Engineering
Volume 117, Issue 4
Abstract
The ARC/INFO geographic information system (GIS) has been combined with the ARX spatial expert system and the SMSP soil moisture‐soil strength model to give the managers of a major Australian army training base the ability to predict damage from exercises. Soil types on the base, their wetness indices, and moisture status are biophysical inputs to the damage prediction model. ARX is used to predict the soil types and wetness indices. These results and antecedent rainfall are then used by SMSP to predict soil moisture and soil strength. ARC/INFO is used to store and map the results. In this paper, we test the accuracy of the soil type and soil moisture predictions. Field trials demonstrated that the soil type predictions are acceptable, but that SMSP is unable to accurately predict soil moistures at individual sites, although predictions over transects of 1.5 km are acceptable.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Burrough, P. A. (1989). “Matching spatial databases and quantitative models in land resource assessment.” Soil Use Mgmt., 5(1), 3–8.
2.
Coppock, T. (1989). “Editorial.” Int. J. Geogr. Info. Systems, 3(2), 99–101.
3.
Cuddy, S. M., Laut, P., Davis, J. R., Whigham, P. A., Goodspeed, M. J., and Duell, T. (1989). “Modelling the environmental effects of training on a major Australian army base.” Math. Comput. Simul., 32(2), 83–88.
4.
Davis, J. R., and Clark, J. L. (1989). “A selective bibliography of expert systems in natural resource management.” AI Appl. Natural Resour. Mgmt., 3(3), 1–18.
5.
Davis, J. R., Grant, I. W., and Whigham, P. A. (1988). “Representing and applying knowledge about spatial processes in environmental management.” AI Appl. Natural Resour. Mgmt., 2(4), 17–25.
6.
Dean, T. C., Robinson, J. H., and Bullock, C. D. (1987). “Digital mobility—Terrain data base development and mobility evaluations in the Puckapunyal and Batchelor areas of Australia.” Technical Report GL‐87‐11, Waterways Experiment Station, U.S. Army Corps of Engineers, Vicksburg, Miss.
7.
Gunn, R. H. (1980). “Soils.” Natural Resources of the Puckapunyal Training Area, Victoria: Technical Memorandum 80/8, A. P. Spate, ed., CSIRO Division of Land Use Research, Canberra, Australia.
8.
Keig, G., and McAlpine, J. R. (1974). “WATBAL: A computer system for the estimation and analysis of soil moisture regimes from simple climatic data.” 2d Ed., Technical Memorandum 74/4, CSIRO Division of Land Use Research, Canberra, Australia.
9.
Puckapunyal Training Area land management plan, November 1989. (1989). Director‐General, Accommodation and Works, Department of Defence, Canberra, Australia.
10.
Robinson, V., ed. (1989). AI Appl. Natural Resour. Mgmt., 3(4), 1–43.
11.
Rush, E. S., and Kennedy J. G. (1982). “Updated soil moisture—soil strength prediction methodology.” Report, U.S. Army Engineer Waterways Experiment Station, Vicksburg, Miss.
12.
Spate, A. P. (1980). “Natural resources of the Puckapunyal Training Area, Victoria.” Technical Memorandum 80/8, CSIRO Division of Land Use Research, Canberra, Australia.
13.
Whigham, P. A., and Davis, J. R. (1989). “Modelling with an integrated GIS/expert system.” Proc., 9th Annual ESRI User Conf., Environmental Systems Research Inst., Redlands, Calif.
Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 117 • Issue 4 • July 1991
Pages: 476 - 489
Copyright
Copyright © 1991 ASCE.
History
Published online: Jul 1, 1991
Published in print: Jul 1991
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.