Science Service System

Summary of Proposal HYD0120

TitleMapping and Modelling of Hydrological Parameters in the Lower Murrumbidgee Catchment of Australia
Investigator Hafeez, Mohsin - Commonwealth Scientific and Industrial Research Organization (CSIRO), CSIRO Land and Water
Team Members
Dr. Hafeez, Mohsin - Commonwealth Scientific and Industrial Research Organization (CSIRO), Land and Water
SummaryThe objectives are to measure various hydrological parameters in the Lower Murrumbidgee Catchment i.e., 1)-to establish up-to-date land cover and land use classification during different phases in growing seasons; 2)- to estimate and map groundwater recharge based on different land use and land cover classes; and 3)- to produce a spatio-temporal mapping of distributed soil moisture and the validation of surface remotely sensed soil moisture using data obtained in an intensive ground based soil moisture measurements. It is expected that the results will facilitate in developing an innovative tools for recharge mapping, soil moisture availability, and distribution within the catchment. The final products derived will be further assimilated in the surface-groundwater interaction models developed within the Smart Irrigation Project (SIP). Specifically, the data will be used to update hydrological variables in spatial water use efficiency algorithm that will play a vital role in managing water resources in MDB. The study is purely an academic and the finding of the study will be used for scientific purposes. Methods: The experimental test sites are located in Murrumbidgee Irrigation Area “MIA” (230,000 ha) and Coleambally Irrigation Area “CIA” (79,000 ha) in Lower Murrumbidgee Catchment (UNESCO HELP reference basin) where we have been collecting rich hydrological datasets since 2000. The proposed project activities will be complimented by the SIP which is a large and long-term research project funded by the CSIRO Water for a Healthy Country Flagship (WfHC), which is expected to run through 2008. We will use object oriented image analysis through eCognition software for land use classification from multi-temporal TerraSAR-X satellite datasets (ScanSAR products) during the growing season. The sampling test sites are located in MIA (230,000 ha) and CIA (79,000 ha). The results of land use classes will be further validated by the sample data derived from the results of organized extensive ground-truthing campaign. An accurate land use maps derived from TerraSAR-X will be used to evaluate the effect of land use and landuse change on groundwater recharge using data from CIA and MIA. Estimates of vertical recharge will be obtained by using one-dimensional water balance model called APSIM. APSIM simulations will be carried out for all landuses derived from TerraSAR-X over CIA and MIA. The results will be used to represent the recharge matrix for the mix landuse in surface groundwater interaction model. Different scenarios will be developed and a relationship between land use settings and groundwater recharge will be developed for the assessment of future land use changes on the quantity and quality of groundwater in the CIA and MIA. Soil moisture will also be mapped using TerraSAR-X. The main ‘observed’ parameters used to measure soil moisture will therefore be: biomass, surface temperature, and brightness temperature. The in situ measurements are located in irrigation areas of CIA and MIA and it will give an idea of the soil moisture distribution along different irrigated areas. The results from land surface temperature (LST) scaling and soil moisture observations are used to establish a regional LST based soil moisture relationship. In combination with derived biomass and vegetation water, as well as ground measurements of soil moisture a remotely sensed soil moisture monitoring system will be derived. Funding Sources: Associated committed funds available include the following: Water for Healthy Country Project (2004-2008) Smart Irrigation in Murray (3.0 Million Australian $) CRC Irrigation Future Project (2004- 2007) Irrigation System Harmonisation in Murray Darling Basin (300K$/year) Deliverables: 1- Accurate and up-to-date maps of land use classes for CIA and MIA. 2- Spatially distributed maps of recharge for different land uses. 3- Spatio-temporal maps of soil moisture on monthly basis for CIA and MIA

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