https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42755 35%). Good correlations were obtained (R values 0.49–0.93, all with p value < 0.05). Higher R values were found for wetter conditions (above ~20%). The wetness indices were also found to relate to pipe-wall maximum pitting corrosion rates (mm/yr) when soil classifications were taken into account, with separate trends for clay, silty clay, sandy clay and sand. Some outliers were detected. These were all associated with pipes for which there is evidence of poor workmanship or quality during installation. In total, 25 catchments from inner city to coastal and lakeside suburbs as well as semi-rural regions were assessed. Results show the potential for terrain indices to indicate relative soil wetness in urban areas and thus potential for pipe failure. This is the first study of its kind. This also may assist water authorities to improve life prediction, management and replacement schedules for water supply pipelines and other underground assets.]]> Wed 28 Sep 2022 14:04:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40177 K_c) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two reference evapotranspiration (ET_o) products to find actual evapotranspiration as AET = ET_o x K_c, providing six ET_o-K_c combinations. Results indicate this study method can effectively assess irrigation water use over a range of catchment sizes from ~6000 to ~600,000 ha, although issues arise when regions have a designated low allocation volume for that season (less than40%). Comparisons with the Standardised Precipitation Index (SPI) and Evaporative Stress Index (ESI) show that the proposed method is robust to the rapid onset and short-term droughts, However, its performance was poor during the long term droughts with low water allocation years. The study results during these years has been predominately attributed to water stress in certain crops being undetected, agricultural managers skipping annual crop commodities as well as stock and domestic water use making up larger portions of total water use. This is a limitation of this approach, although when only comparing results in years with greater than 40% allocations, the results improved significantly showing it can monitor water use effectively. When adequate water is available, this approach is able to accurately predict irrigation water use for the sites examined.]]> Wed 28 Feb 2024 14:57:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55181 Wed 24 Apr 2024 09:41:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45920 Wed 22 Mar 2023 17:37:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48743 Wed 06 Mar 2024 14:30:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52771 Tue 14 Nov 2023 14:59:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44358 Tue 11 Oct 2022 19:49:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35017 c) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two gridded reference evapotranspiration (ET_o) products to estimate actual evapotranspiration, providing six K_c - ET_o combinations which are then compared to actual/recorded irrigation volumes from test sites. The method was tested over an almond farm, two vineyards and a cotton field; in addition to Goulburn-Murray Water’s (GMW) individual farm scale sites with unknown crops, all located within Australia. The developed approach provided estimated irrigation volumes that closely matched measured data for almond and cotton farms, while vineyards returned less accurate results due to localised management techniques that do not agree with land management assumptions made. The results from GMW showed some indication of the irrigation water use, although more details of the site being assessed needs to be available (i.e. crop type and extent). This study demonstrates the ability of certain remote sensing K_c relationships for sensing irrigation water use and shows the potential applications of the developed approach in monitoring irrigation over paddock scale environments.]]> Mon 26 Jun 2023 14:59:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44818 Mon 24 Oct 2022 09:38:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40789 Mon 18 Jul 2022 16:14:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49251 Mon 08 May 2023 10:42:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35122 Fri 21 Jun 2019 10:54:17 AEST ]]>