Method for optimal spatial and temporal allocation of water in irrigation districts
PENG Shi-Zhang, WANG Ying, CHEN Yun, GAO Xiao-Li, ZHANG He-Xi
(1. State Key Laboratory of HydrologyWater Resources and Hydraulic Engineering, Hohai University, Nanjing, Jiangsu 210098, China; 2. College of Water Conservancy and Hydropower Engineering and Architecture, Yunnan Agricultural University, Kunming, Yunnan 650201, China; 3. CSIRO, Land and Water, Canberra 2601, Australia; 4.Guizhou Hydraulic Research Institute, Guiyang, Guizhou 550000, China)
Abstract:The optimization of allocation of water in irrigation districts is very important for improving irrigation water management and alleviating the pressure of irrigation water availability as well as maintaining agricultural sustainability. Therefore, a new method was proposed to optimize allocation of water in irrigation districts by combining the traditional optimization method, in which the model for optimal allocation of water among different crops is used, and the optimization model with a multiobjective function for canal scheduling as well as GIS. In this method, the spatial difference in crop, soil, meteorological station and canal network pattern and the temporal difference in water required by corps in various growth stages. Compared with the traditional optimization method, in the new method the number of optimization variables can be chosen flexibly according to the accuracy of optimization by an irrigation district manager. As a result of this, not only the optimization of allocation of water in irrigation districts was simplified but its results can be displayed in various ways. The decision support system for optimization allocation of water established here has a friendly interface and high computational efficiency; further, it is transplantable and universal. The results of a case study have shown that the water productivity, crop yield and irrigation net benefit are increased by 0.5 kg/m3, 24.3%, 16.8%, respectively, while the irrigation water volume is reduced by 29.6% after optimization. Additionally, a tendency that the limited water resources are allocated to highvalue crops was shown in the optimized allocation of water. This approach provides a new way for spatial and temporal allocation of water in irrigation districts.
[1]Wang Y, Chen Y, Peng S. A GIS framework for changing cropping pattern under different climate conditions and irrigation availability scenarios[J]. Water Resources Management, 2011, 25(13): 3073-3090.[2]张智韬, 刘俊民, 陈俊英,等. 基于RS、GIS和蚁群算法的多目标渠系配水优化[J]. 农业机械学报, 2010, 41(11):72-78.Zhang Zhitao, Liu Junmin, Chen Junying, et al. Water resources allocation of canal system based on multiobjective about RS, GIS and ant colony algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2010, 41(11):72-78. (in Chinese)[3]Cakr R, Ceb U. Yield, water use and yield response factor of fluecured tobacco under different levels of water supply at various growth stages [J]. Irrigation and Drainage, 2010, 59(4): 453-464.[4]Zhang Yi, Feng Liping. Cropirri: A decision support system for crop irrigation management [J]. IFIP Advances in Information and Communication Technology,2010,317:90-97.[5]Brown P D, Cochrane T A, Krom T D. Optimal onfarm irrigation scheduling with a seasonal water limit using simulated annealing [J]. Agricultural Water Management, 2010, 97(6): 892-900.[6]张佳. 基于Delphi的灌溉决策支持系统研究 [D].西安:西安理工大学水利水电学院,2010.[7]乔长录, 刘招, 茯苓. 基于COMGIS和Matlab的泾惠渠灌区灌溉决策支持系统 [J]. 干旱地区农业研究, 2010, 28(3): 31-36, 70.Qiao Changlu, Liu Zhao, Fu Ling. lrrigation decision support system based on COMGIS and Matlab for Jinghuiqu irrigation district[J]. Agricultural Research in the Arid Areas, 2010, 28(3): 31-36, 70. (in Chinese)[8]Chen Y, Yu J, Khan S. Spatial sensitivity analysis of multicriteria weights in GISbased land suitability evaluation [J]. Environmental Modeling and Software, 2010, 25(12): 1582-1591.[9]Gosling S N, Arnell N W. Simulating current global river runoff with a global hydrological model: Model revisions, validation, and sensitivity analysis [J]. Hydrological Processes, 2010, 25(7): 1129-1145.[10]Phumiphan N, Kangrang A, SaNgiamvibool W. An improvement of optimal allocation water for cultivating supper chilli[J]. Australian Journal of Basic and Applied Sciences, 2011, 5(11): 744-751.[11]Peng S, Wang Y, Khan S, et al. A simplified multiobjective genetic algorithm optimization model for canal scheduling [J]. Irrigation and Drainage, 2011, 61(3): 294-305.