Your search found 13 records
1 Annandale, J. G.; Stockle, C. O. 1994. Fluctuation of crop evapotranspiration coefficients with weather: A sensitivity analysis. Irrigation Science, 15(1):1-7.
(Location: IWMI-HQ Call no: PER Record No: H015382)
2 Annandale, J. G.; Mulla, D. J. 1995. Nitrate leaching losses from hills and furrows in irrigated potatoes. In Clean water - Clean environment - 21st century: Team agriculture - Working to protect water resources: Conference proceedings, March 5-8, 1995, Kansas City, Missouri. Volume II: Nutrients. St. Joseph, MI, USA: ASAE. pp.9-12.
Irrigation water ; Crop production ; Potatoes ; Nitrogen ; Leaching ; Computer models ; Irrigation systems ; Irrigation management ; Groundwater ; Water pollution / USA / Columbia Basin
(Location: IWMI-HQ Call no: 333.91 G000 CLE Record No: H018767)
3 Annandale, J. G.; Campbell, G. S. 1995. Modelling the soil water balance under microirrigation. In Lamm, F. R. (Ed.), Microirrigation for a changing world: Conserving resources/preserving the environment: Proceedings of the Fifth International Microirrigation Congress, Hyatt Regency Orlando, Orlando, Florida, April 2-6, 1995. St. Joseph, MI, USA: ASAE. pp.840-850.
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018951)
4 Annandale, J. G.; Benadé, N.; van der Westhuizen, A. J. 1996. The SWB (soil water balance) irrigation scheduling model. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.944-949.
Irrigation scheduling ; Simulation models ; Soil water ; Crop production ; Water use ; Evapotranspiration
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020685)
5 van der Westhuizen, A. J.; Annandale, J. G.; Benade, N. 1996. Encouraging irrigation scheduling: a cost-benefit approach. In International Commission on Irrigation and Drainage (ICID); FAO. Irrigation scheduling: from theory to practice. Proceedings of the ICID/FAO Workshop on Irrigation Scheduling, Rome, Italy, 12-13 September 1995. Rome, Italy: FAO. pp.251-256. (FAO Water Reports 8)
Irrigation scheduling ; Cost benefit analysis ; Decision support tools ; Computer software ; Soil water ; Water balance ; Simulation models ; Optimization ; Plant growth ; Tomatoes ; Water use ; Yields / South Africa
(Location: IWMI HQ Call no: 631.7.1 G000 FAO Record No: H021333)
6 Jovanovic, N. Z.; Annandale, J. G.; BenadT, N.; Rethman, N. F. G. 1999. SWB - A mechanistic water balance-soil salinity model for irrigation with lime-treated acid mine drainage. In ICID, 17th Congress on Irrigation and Drainage, Granada, Spain, 1999: Water for Agriculture in the Next Millennium - Transactions, Vol.1G, Special Session. New Delhi, India: ICID. pp.73-92.
Water balance ; Soil salinity ; Models ; Irrigation scheduling ; Drainage ; Irrigation water ; Water quality ; Crop yield / South Africa
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H025228)
7 Annandale, J. G.; Campbell, G. S.; Olivier, F. C.; Jovanovic, N. Z. 2000. Predicting crop water uptake under full and deficit irrigation: An example using pea (Pisum sativum L. cv. Puget) Irrigation Science, 19(2):65-72.
Evaporation ; Crop production ; Irrigation scheduling ; Water deficit ; Soil water ; Water balance ; Water use ; Simulation models ; Water loss ; Water stress ; Experiments / South Africa / Pretoria
(Location: IWMI-HQ Call no: PER Record No: H025702)
8 Jovanovic, N. Z.; Annandale, J. G.. 2000. Crop growth model parameters of 19 summer vegetable cultivars for use in mechanistic irrigation scheduling models. Water SA, 26(1):67-76.
Plant growth ; Vegetables ; Irrigation scheduling ; Computer models ; Soil water ; Water balance ; Measurement ; Crop yield ; Water requirements ; Estimation
(Location: IWMI-HQ Call no: P 5537 Record No: H027318)
9 Annandale, J. G.; Jovanovic N. Z.; BenadT, N.; Allen, R. G. 2002. Software for missing data error analysis of Penman-Monteith reference evapotranspiration. Irrigation Science, 21(2):57-67.
Crop production ; Water requirements ; Evapotranspiration ; Soil-water-plant relationships ; Measurement ; Computer techniques ; Statistical analysis ; Sensitivity analysis
(Location: IWMI-HQ Call no: PER Record No: H029775)
10 Thorburn, P. J.; Bristow, K. L.; Annandale, J. G.. 2003. Micro-irrigation: Advances in system design and management: Introduction. Irrigation Science, 22(3-4):105-106.
(Location: IWMI-HQ Call no: PER Record No: H033545)
11 Annandale, J. G.; Jovanovic, N. Z.; Campbell, G. S.; Du Sautoy, N.; Benadé, N. 2003. A two-dimensional water balance model for micro-irrigated hedgerow tree crops. Irrigation Science, 22(3-4):157-170.
Models ; Soil water ; Water balance ; Irrigation systems ; Crop production ; Irrigation efficiency / Africa
(Location: IWMI-HQ Call no: PER Record No: H033551)
12 Idowu, O. A.; Lorentz, S. A.; Annandale, J. G.; McCartney, Matthew P.; Jovanovic, N. Z. 2008. Assessment of the impact of irrigation with low-quality mine water on virgin and rehabilitated soils in the Upper Olifants Basin. Mine Water and the Environment, 27: 2-11.
Wastewater irrigation ; Water quality ; Water reuse ; Soil water ; Salinity ; Monitoring ; Models / South Africa / Upper Olifants Basin
(Location: IWMI HQ Call no: IWMI 631.7.5 G178 IDO Record No: H041084)
Low-quality mine water from collieries may be used in large quantities to irrigate agricultural crops on virgin (unmined) and rehabilitated soils in South Africa. Such a use could enhance crop production and allow environmentally sustainable mine water disposal. In this study, the volume and qualities of the runoff from two centre pivots irrigated with moderately saline mine water, as well as their soil water salinities, were monitored and used to determine water and salt balances, using the modified ACRU agrohydrological model, ACRU2000, and its salinity module, ACRUSalinity. At both sites, much of the water evaporated, while a significant part of the salt input either recipitated or remained with the water in the soil horizons. A higher percentage of drainage water (and salinity) were retained as ground water storage and a lower percentage of runoff occurred in the rehabilitated sandy loam soil, while a higher percentage of salts accompanied runoff in the virgin clayey soils. Simulated salt saturation values indicate that many crops could be successfully irrigated at 100% yield potential at either site. Electrical resistivity surveys were carried out at both sites. A general decrease in resistivities with depth in both the virgin and rehabilitated soils reflected the decreasing influence of the mine water used for irrigation with depth and the precipitation of salts in the soils close to the ground surface. The occurrence of a thicker, low- resistivity, near-surface layer near the exit of each pivot area indicates that the water and salt content of the subsurface increased in the direction that the surface and near-surface irrigation water flowed.
13 Idowu, O. A.; Lorentz, S. A.; Annandale, J. G.; Aken, M.; McCartney, Matthew; Thornton-Dibb, S. L. C.; Westhuizen, A. 2010. Comparative assessment of widespread irrigation with low quality mine-water in undisturbed and rehabilitated mine-lands in the upper Olifants using the ACRU2000 model. Water SA, 36(5):543-552.
Water quality ; Salinity ; Simulation models ; Wastewater irrigation ; Coal mined land ; Soil water balance ; Reservoirs / South Africa / Upper Olifants River Basin / Tweefontein Reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H043306)
http://www.ajol.info/index.php/wsa/article/viewFile/61988/50039
https://vlibrary.iwmi.org/pdf/H043306.pdf
https://vlibrary.iwmi.org/pdf/H043306.pdf
(0.81 MB) (833KB)
The ACRU agrohydrological model, in the form of ACRU2000 and its salinity module, ACRUSalinity, was employed in catchment-scale assessment of widespread irrigation with low quality mine-water in undisturbed (un-mined) and rehabilitated soils in the Upper Olifants basin of South Africa. The study area comprised a small catchment of 4.7 km2 located in a coal-mine environment, known as the Tweefontein Pan catchment. The catchment drained to a surface reservoir (Tweefontein Reservoir) of maximum capacity and surface area 4 000 Ml and 1.5 km2, respectively. The catchment was instrumented to measure hydrodynamic responses and simulated as a hydrological system. Consideration was given to runoff, groundwater storage, evapotranspiration, baseflow, interception, irrigation water supply and rainfall, thereby accounting for all the dominant hydrological components of the system. Three scenarios were simulated using the available records for 5 years (1999 to 2004). The first was a baseline scenario representing the prevailing condition in the study area and the other 2 scenarios represented widespread irrigation with the mine-water on undisturbed and rehabilitated soils. In simulating the widespread irrigation on rehabilitated soils, a distinction was made between a rehabilitated irrigated area before and after the re-establishment of the equilibrium water table. Comparison of the results from the simulated scenarios indicated that a greater undisturbed area (max of 160 ha) than rehabilitated area (max of 120 ha) could be irrigated with mine-water from the Tweefontein Reservoir. Irrigation on rehabilitated soils depleted the water in the reservoir more rapidly than irrigation on undisturbed soils, due to lower runoff and higher ingress to groundwater in rehabilitated areas.
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