Multilevel approach for optimizing land and water resources and irrigation deliveries for tertiary units in large irrigation schemes. II: Application

被引:26
|
作者
Gorantiwar, SD [1 ]
Smout, IK [1 ]
机构
[1] Univ Loughborough, Water Engn & Dev Ctr, Loughborough LE11 3TU, Leics, England
关键词
optimization; water resources; irrigation practices; arid lands;
D O I
10.1061/(ASCE)0733-9437(2005)131:3(264)
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The resource allocation model, area and water allocation model, incorporates the concept of deficit irrigation through a variable depth irrigation approach, VDI. It uses this to allocate land and water resources optimally to different crops in a heterogeneous irrigation scheme with limited water under rotational water supply. This model was applied to a medium irrigation scheme in India as a case study, to obtain the land and water allocation plans. These optimal allocation plans were compared to those obtained by using the model with the existing approach (full irrigation with a fixed irrigation interval of 21 days in Rabi and 14 days in the summer season). The allocation plans were obtained taking into account the different parameters that were included in the model, such as crops and cropping pattern, soils, irrigation interval, initial reservoir storage volumes, efficiencies, and the outlet and canal capacities. The total net benefits were compared for the two cases of fixed cropping distribution and free cropping distribution and a sensitivity analysis was conducted on other parameters. Summaries of the allocation plans with the VDI approach are presented for the two cases. The total net benefits obtained with the VDI approach introduced in the model were found to be 22% higher than those obtained with the existing approach. The results of this study are thus indicative of the benefits of deficit irrigation and its application within irrigation schemes that have limited water supply.
引用
收藏
页码:264 / 272
页数:9
相关论文
共 8 条
  • [1] Multilevel approach for optimizing land and water resources and irrigation deliveries for tertiary units in large irrigation schemes. I: Method
    Smout, IK
    Gorantiwar, SD
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2005, 131 (03) : 254 - 263
  • [2] Performance-based optimization of land and water resources within irrigation schemes. II: Application
    Smout, Ian K.
    Gorantiwar, Sunil D.
    Vairavamoorthy, K.
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2006, 132 (04) : 341 - 348
  • [3] MODELING IRRIGATION DELIVERIES FOR TERTIARY UNITS IN LARGE IRRIGATION SYSTEMS
    KEMACHANDRA, RAD
    MURTY, VVN
    AGRICULTURAL WATER MANAGEMENT, 1992, 21 (03) : 197 - 214
  • [4] Performance-based optimization of land and water resources within irrigation schemes. I: Method
    Gorantiwar, Sunil D.
    Smout, K.
    Vairavamoorthy, K.
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2006, 132 (04) : 332 - 340
  • [5] Capturing spatial variability of factors affecting the water allocation plans—a geo-informatics approach for large irrigation schemes
    Muhammad Mohsin Waqas
    Muhammad Waseem
    Sikandar Ali
    Jan W. Hopman
    Usman Khalid Awan
    Syed Hamid Hussain Shah
    Adnan Noor Shah
    Environmental Science and Pollution Research, 2022, 29 : 81418 - 81429
  • [6] Application of large scale system model based on particle swarm optimization to optimal allocation of water resources in irrigation areas
    Chen, Xiaonan
    Duan, Chunqing
    Qiu, Lin
    Huang, Qiang
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2008, 24 (03): : 103 - 106
  • [7] Capturing spatial variability of factors affecting the water allocation plans-a geo-informatics approach for large irrigation schemes
    Waqas, Muhammad Mohsin
    Waseem, Muhammad
    Ali, Sikandar
    Hopman, Jan W.
    Awan, Usman Khalid
    Shah, Syed Hamid Hussain
    Shah, Adnan Noor
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (54) : 81418 - 81429
  • [8] Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach
    Belaqziz, Salwa
    Khabba, Said
    Kharrou, Mohamed Hakim
    Bouras, El Houssaine
    Er-Raki, Salah
    Chehbouni, Abdelghani
    REMOTE SENSING, 2021, 13 (18)