TY - JOUR
T1 - A farm-scale, bio-economic model for assessing investments in recycled water for irrigation
AU - Brennan, L
AU - Lisson, S
AU - Poulton, P L
AU - Carberry, P
AU - Bristow, Keith
AU - Khan, Shahbaz
N1 - Imported on 12 Apr 2017 - DigiTool details were: Journal title (773t) = Crop and Pasture Science. ISSNs: 1836-0947;
PY - 2008
Y1 - 2008
N2 - Demand for water in Australia is increasing along with growing pressure to maximise the efficiency of irrigation water use and seek additional and alternative irrigation supplies. The scarcity of water supplies coupled with the need for urban communities to dispose of large quantities of treated recycled water from sewage treatment plants has led to increasing interest from urban and rural communities in the reticulation of this water for irrigating adjacent crop-production areas. Proposals to use recycled water inevitably lead to a complex range of issues that need to be addressed, including:* costs and benefits of supplying an additional source of water to current or new cropping systems;* optimum irrigation design and management, particularly where there are multiple sources of irrigation water;* management of overflow from on-farm water storages; and* environmental implications with regard to salinity, runoff, drainage, nitrate leaching, and environmental flows.Simulation models can capture many of the key factors and processes influencing irrigated crop production systems, and can play a useful role in exploring these issues. In this paper, we have described an approach that couples agricultural production system and economic models in a way that enables analysis of the likely benefits and risks of investing in recycled water, although the analysis is equally relevant to any assessment of the value of an additional source of irrigation water, particularly saline water. The approach has been illustrated with a case study of a mixed-crop farm in the Darling Downs region of Queensland, Australia, in which the farm-scale crop production, economic, and environmental implications of investing in recycled water were considered.
AB - Demand for water in Australia is increasing along with growing pressure to maximise the efficiency of irrigation water use and seek additional and alternative irrigation supplies. The scarcity of water supplies coupled with the need for urban communities to dispose of large quantities of treated recycled water from sewage treatment plants has led to increasing interest from urban and rural communities in the reticulation of this water for irrigating adjacent crop-production areas. Proposals to use recycled water inevitably lead to a complex range of issues that need to be addressed, including:* costs and benefits of supplying an additional source of water to current or new cropping systems;* optimum irrigation design and management, particularly where there are multiple sources of irrigation water;* management of overflow from on-farm water storages; and* environmental implications with regard to salinity, runoff, drainage, nitrate leaching, and environmental flows.Simulation models can capture many of the key factors and processes influencing irrigated crop production systems, and can play a useful role in exploring these issues. In this paper, we have described an approach that couples agricultural production system and economic models in a way that enables analysis of the likely benefits and risks of investing in recycled water, although the analysis is equally relevant to any assessment of the value of an additional source of irrigation water, particularly saline water. The approach has been illustrated with a case study of a mixed-crop farm in the Darling Downs region of Queensland, Australia, in which the farm-scale crop production, economic, and environmental implications of investing in recycled water were considered.
KW - APSIM
KW - Irrigated cotton
KW - On-farm water storage
U2 - 10.1071/AR06316
DO - 10.1071/AR06316
M3 - Article
SN - 0004-9409
VL - 59
SP - 1035
EP - 1048
JO - Crop and Pasture Science
JF - Crop and Pasture Science
IS - 11
ER -