skip to:
content
Global Links
Site Map
Accessibility
Contact us
Department of Agriculture and Food Western Australia
Home
About Us
Publications
Education
Employment
Events
Contacts
Search DPIRD
Search WA Government
Logon
Library Catalogue
Full Record
Back to Search Results
Title:
SWAGSIM : a soil water and groundwater simulation model.
Author:
Prathapar, S. A.
;
Meyer, Wayne S., (Wayne Stewart)
;
Jain, S.
;
van der Lelij, A.
;
CSIRO Division of Water Resources - Griffith Laboratory.
Series:
Divisional report (CSIRO. Institute of Natural Resources and Environment. Division of Water Resources), 94/3
Description:
38 p. : ill. ; 30 cm.
Subject:
Soil water movement.
;
Groundwater flow.
;
Water table.
;
Murrumbidgee irrigation region (N.S.W.)
;
Mathematical models.
ISBN/ISSN:
0643056580. 1033-5579.
Type:
Journal
Item Availability
Item Availability
{ 2 } items found
Result
Links
Year
Volume
Part
Status
Location
Shelf No
1
1994
Missing
Journals-Series
05:556(94)
2
1994
On Shelf
Journals-Series
05:634.1(94)
Similar Items
Predicting flood-driven water table fluctuations in a semi-arid floodplain of the River Murray using a simple analytical model.
Farmers' newsletter - large area / IREC Farmers' newsletter Rice R&D edition
Managing saline seeps with siphons / compiled by Richard George.
Lucerne : a "salt of the earth" investment.
Proceedings of the XXV International Horticultural Congress, Brussels, Belgium, 2-7 August, 1998 Part 9 Computers and automation, electronic information in horticulture / editors, H. Challa ... [et al.]
Charecterising the temporal variability of the global carbon cycle.
Practical issues in developing a whole farm bio-economic model / by Vanessa A. McL. Stewart, David J. Pannell, Ross Kingwell and Nicole Free.
Economic assessment of a new grain legume for low rainfall environments / by Nicole A. Free, David J. Pannell and Greg G. Shea.
A numerical model of heat and water movement in furrow-sown water repellent sandy soils / Bangjie Yang, Paul S. Blackwell and David F. Nicholson.
Groundwater modelling to predict the impact of management scenarios for two dryland salinity catchments, S.A.