基于改进的投影寻踪-云模型的农业灌溉水质综合评价
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X824

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北京市属高校创新能力提升计划(PXM2014_014213_000033);北京市教委科技计划重点项目(KZ201510011011)


Comprehensive evaluation of agricultural irrigation water quality based on modified projection pursuit-cloud model
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    摘要:

    提出基于投影寻踪函数和云模型的水质综合评价模型,选取太湖流域20个样本盐度、氯化物、氨氮、溶解性固体4类具有代表性的农业灌溉水质监测数据,在综合其投影值及隶属度基础上,计算农业灌溉水质的等级区分粒度。结果表明,投影寻踪模型计算值平均绝对误差仅为0.125 2级,达到了较好的水质评价精确度,同时利用云模型计算各个监测指标得到的最大综合确定度所属级别与经验等级一致。

    Abstract:

    This paper proposed a comprehensive evaluation model of water quality based on projection pursuit function and cloud model, 4 representative water quality monitoring data of agricultural irrigation water collected from 20 samples in Taihu River Basin were selected, covering salinity, chloride, ammonia nitrogen and dissolved solids. On the basis of synthesizing their projection value and membership degree, the grade discrimination granularity of the agricultural irrigation water quality was calculated, the results show that the average absolute error of the calculated value of the projection pursuit model was only 0. 125 2, which means the accuracy of water quality evaluation has been achieved preferably. Meanwhile, the maximum comprehensive certainty degree of each monitoring index calculated by cloud model was consistent with the experience grade.

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于嘉骥,张慧妍,王小艺,等.基于改进的投影寻踪-云模型的农业灌溉水质综合评价[J].水资源保护,2017,33(6):142-146.(YU Jiaji, ZHANG Huiyan, WANG Xiaoyi, et al. Comprehensive evaluation of agricultural irrigation water quality based on modified projection pursuit-cloud model[J]. Water Resources Protection,2017,33(6):142-146.(in Chinese))

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  • 收稿日期:2017-01-06
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  • 在线发布日期: 2017-11-24
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