基于加权灰色关联模型在灌水方案优选中的应用
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摘要
采用加权灰色关联综合评价模型,对于不同灌水下限下夏玉米的耗水量、产量及其构成因素的灌水方式进行优选。结果表明:全生育期夏玉米耗水量随灌水下限的增加而增加;当灌水控制下限到70%田间持水量时灰色关联度最大(0.843,0.844),其产量和水分利用率最高。加权灰色关联模型评价结果与试验区试验结果相吻合。因此,加权灰色关联模型可应用于灌水方案优选的研究中,并为该地区夏玉米生产提供科学的理论指导。
In this paper, the weighted grey relational comprehensive evaluation model was used to optimize the irrigation method of summer maize with different irrigation lower limit. The results showe that the water consumption of summer maize increased with the increase of the lower limit of irrigation water control; when the lower limit of irrigation water control reached 70% of the field water holding capacity, the grey correlation degree in the evaluation was the largest(0.843,0.844), and the yield and water utilization rate of summer maize were the highest. The evaluation results of the weighted grey relational comprehensive evaluation model were consistent with the field test results. Therefore, the weighted grey relational model can be applied to the study of optimal irrigation scheme and provide scientific theoretical guidance for summer maize production in this region.
In this paper, the weighted grey relational comprehensive evaluation model was used to optimize the irrigation method of summer maize with different irrigation lower limit. The results showe that the water consumption of summer maize increased with the increase of the lower limit of irrigation water control; when the lower limit of irrigation water control reached 70% of the field water holding capacity, the grey correlation degree in the evaluation was the largest(0.843,0.844), and the yield and water utilization rate of summer maize were the highest. The evaluation results of the weighted grey relational comprehensive evaluation model were consistent with the field test results. Therefore, the weighted grey relational model can be applied to the study of optimal irrigation scheme and provide scientific theoretical guidance for summer maize production in this region.
引文
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[2] 马建琴,陈哲.非充分灌溉条件下作物需水量预测[J].人民珠江,2017,38(12):58-61.
[3] 张振伟,马建琴.基于日需水量的作物非充分实时灌溉预报模型及应用[J].水电能源科学,2014,32(4):167-170.
[4] 马建琴,刘蕾,张振伟,等.农业水资源实时灌溉理论与综合管理系统[M].北京:中国水利水电出版社,2013.
[5] HAN D,CURRELL M J,CAO G.Deep challenges for China's war on water pollution[J].Environmental Pollution,2016,218:1222-1233.
[6] 米国全,袁丽萍,龚元石,等.不同水氮供应对日光温室番茄土壤酶活性及生物环境影响的研究[J].农业工程学报,2005,21(7):124-127.
[7] 汪顺生,刘东鑫,孟鹏涛,等.不同种植模式冬小麦产量与耗水量的模糊综合评判[J].农业工程学报,2015,32(1):161-166.
[8] GEAR R D,CAMPBELL M D,DRANSFIELD A S.Irrigation Scheduling with Neutron Probe[J].Journal of the Irrigation and Drainage Division,1977,103(3):291-298.
[9] MORENO G,SUNDING D L.Joint Estimation of Technology Adoption and Land Allocation with Implications for the Design of Conservation Policy [J].American Journal of Agricultural Economics,2005,87(4):1009-1019.
[10] 邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002.
[11] 赵旭,李毅.新疆地区参考作物腾发量的灰色模型预测[J].农业工程学报,2009,25(10):50-56.
[12] 杨奇勇,杨劲松.基于GIS和改进灰色关联模型的土壤肥力评价[J].农业工程学报,2010,26(4):100-105.
[13] 马建琴,何胜,郝秀平.作物实时灌溉预报中有效降雨量的计算方法[J].人民黄河,2015,37(5):138-142.
[14] 牛东晓.基于关联分析的多因素电力负荷预测灰色模型群研究[J].华北电力大学学报,2006(3):90-92.