Evaluating the performance of automated bay irrigation

被引:19
|
作者
Smith, R. J. [1 ]
Uddin, J. M. [1 ]
Gillies, M. H. [1 ]
Moller, P. [2 ]
Clurey, K. [2 ]
机构
[1] Univ So Queensland, Natl Ctr Engn Agr, Toowoomba, Qld 4350, Australia
[2] Rubicon Water, Wheeler St, Shepparton, Vic, Australia
关键词
TIME OPTIMIZATION SYSTEM; DRAINAGE; ALFALFA;
D O I
10.1007/s00271-016-0494-8
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Previous evaluations of bay (or border check) irrigation in northern Victoria have shown that higher irrigation flows offer very much improved (volumetric) application efficiencies, well above those currently achieved. However, having the correct irrigation duration (or time to cut-off) is critical in reaching those efficiencies. Automation of bay irrigation provides the needed precision in managing the shorter irrigation durations that result from the higher flows. Hence, the objective of the study was to demonstrate the application efficiencies achievable through the use of automated, high-flow bay irrigation. Nine existing automated farms were selected for the trial that together represent the range of soils, bay geometries, irrigation management, and crops typical of the region. A total of 46 irrigations across the various sites were evaluated. Analysis of each event included calibration of the surface irrigation hydraulic simulation model SISCO from the measured flow rate, advance and depth data, and simulation of each event using SISCO to give the required performance parameters. The results from the evaluations demonstrate that application efficiencies in excess of 90 % are indeed achievable and being achieved through correct and precise management of automated surface irrigation. The prime reason for lower efficiency on some farms was incorrect choice of irrigation duration, resulting in significant losses to tail-water run-off. For those farms, strategies to improve performance have been suggested.
引用
收藏
页码:175 / 185
页数:11
相关论文
共 50 条
  • [21] Evaluating the performance of Bayesian geostatistical prediction with physical barriers in the Chesapeake Bay
    Desjardins, M. R.
    Davis, B. J. K.
    Curriero, F. C.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (03)
  • [22] Evaluating the performance of Bayesian geostatistical prediction with physical barriers in the Chesapeake Bay
    M. R. Desjardins
    B. J. K. Davis
    F. C. Curriero
    Environmental Monitoring and Assessment, 2024, 196
  • [23] FLOW OF WATER DOWN AN IRRIGATION BAY
    JOBLING, GA
    JOURNAL OF THE AUSTRALIAN INSTITUTE OF AGRICULTURAL SCIENCE, 1968, 34 (02): : 100 - &
  • [24] IRRIGATION TRIAL WITH MORRO BAY WASTEWATER
    WILDMAN, WE
    BRANSON, RL
    RIBLE, JM
    CAWELTI, WE
    CALIFORNIA AGRICULTURE, 1977, 31 (05) : 36 - 37
  • [25] Evaluating the performance of small-scale irrigation schemes in subhumid Ethiopian highlands
    Belay, Agmasie M.
    Assefa, Tewodros T.
    Belay, Sisay A.
    Yimam, Abdu Y.
    IRRIGATION AND DRAINAGE, 2023, 72 (01) : 224 - 239
  • [26] Comparison of non-linear models used for evaluating irrigation system performance
    da Silva, Euzebio Medrado
    Furquim Werneck Lima, Jorge Enoch
    Rodrigues, Lineu Neiva
    de Azevedo, Juscelino Antonio
    PESQUISA AGROPECUARIA BRASILEIRA, 2006, 41 (06) : 1049 - 1052
  • [27] Evaluating Irrigation Efficiency with Performance Indicators: A Case Study of Citrus in the East of Spain
    Parra, Lorena
    Botella-Campos, Marta
    Puerto, Herminia
    Roig-Merino, Bernat
    Lloret, Jaime
    AGRONOMY-BASEL, 2020, 10 (09):
  • [28] Evaluating irrigation performance in a Mediterranean environmentII. Variability among crops and farmers
    I. J. Lorite
    L. Mateos
    E. Fereres
    Irrigation Science, 2004, 23 : 85 - 92
  • [29] Evaluating irrigation scheme performance in a tropical environment: The Guanacaste scheme, Costa Rica*
    Benavides, Juan
    Mateos, Luciano
    Garcia-Vila, Margarita
    Fereres, Elias
    IRRIGATION AND DRAINAGE, 2021, 70 (05) : 1331 - 1346
  • [30] A framework for evaluating island restoration performance: A case study from the Chesapeake Bay
    Davis, Jenny
    Whitfield, Paula
    Szimanski, Danielle
    Golden, Becky R.
    Whitbeck, Matt
    Gailani, Joe
    Herman, Brook
    Tritinger, Amanda
    Dillon, Sally C.
    King, Jeffrey
    INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 2022, 18 (01) : 42 - 48