改进灰色模式识别模型评价洱海雨季灌排沟渠水质
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国家重点研发计划项目(2017YFD0800103);948项目(2016-X53);农业部财政项目(22110402001006);云南省农业环境污染控制与修复工程实验室开放基金资助(2017HC015)


Water quality evaluation of Erhai drainage ditch based on improved grey-mode identification model
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    摘要:

    为揭示洱海流域农田生产与农村生活单元交替分布对灌排沟渠水质的综合影响及污染物贡献率,选取流域典型灌排沟渠不同断面进行连续取样观测,在分析化学需氧量(chemical oxygen demand,COD)、总氮(total nitrogen,TN)、总磷(total phosphorus,TP)及铵态氮(ammonium nitrogen,NH4+-N)浓度变化特征基础上,采用"中心化"灰色模式识别模型和综合平均污染指数对沟渠农田入口-农田出口-村落出口-农田出口-村落出口-农田出口断面水质进行综合评价。结果表明:沟渠断面TP和总可溶磷(total dissolved phosphate,TDP)浓度沿水流方向持续增加,TN和硝态氮(nitrate nitrogen,NO3--N)浓度先增加随后稳定,沟渠农田出口段NH4+-N和COD浓度分别削减13.43%~57.88%和2.88%~19.33%,而流经村落段浓度相应增加。灰色模式识别模型分析发现沿水流方向沟渠断面水质类别分别为Ⅲ类、Ⅱ类、Ⅳ类、Ⅳ类、Ⅴ类和Ⅴ类,综合平均污染指数法表明沟渠中TN和COD是水体主要污染因子,而NO3--N是水体TN的最主要形态。该研究可揭示洱海流域氮磷污染来源与贡献,为明确面源污染防治的主要污染因子提供科技支撑。

    Abstract:

    this study investigated the comprehensive impacts of alternate distribution of farmland production and rural living units on the water quality of irrigation and drainage channels and the contribution rate of pollutants in the Erhai Basin. Different sections of typical irrigation and drainage ditches in the farmland of the Erhai Basin were selected for continuous sampling observation. Chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), NH4+-N, NO3--N, total dissolved phosphorus (TDP), and particle phosphorus (PP) concentrations of runoff in different sections of the ditch were measured for water quality evaluation. The "centralization" method was used as dimensionless treatment method of data in the gray pattern recognition model. At the same time, the correlation coefficient formula based on the point-to-interval distance was introduced into the model, and the absolute difference in the model calculation was newly defined as intervals. The comprehensive average pollution index was used to calculate the proportion and weight of pollutant pollution in the runoff water quality of the ditch, and it combined the 2 models to objectively and accurately comprehensively evaluate the changes in the water quality categories of different sections of the typical irrigation and drainage ditch in the farmland. The results showed that the TP and TDP concentrations in the runoff from different sections of the typical irrigation and drainage ditch in the farming area of the watershed were continuous increased along the direction of the ditch flow. The TN and NO3--N concentrations in the runoff form different sections of the ditch showed a pattern of increasing first and then stabilizing. The NH4+-N and COD concentrations in the runoff from the monitoring section of different farmland outlet sections in a typical irrigation and drainage ditch were reduced by 13.4%-57.9% and 2.9%-19.3%. The concentration in the runoff from irrigation and drainage ditches flowing through the monitoring sections of different village sections was increased by 22.85%-39.63% and 17.10%-42.01%, respectively. The water quality of runoff from the different sections of the ditch along the direction of the water flow were classified as III, II, IV, IV, V, and V. The calculation of water quality pollutants of the ditch by the comprehensive average pollution index method showed that TN and COD in the ditch of the basin were the main factors causing water pollution. The NO3--N was a main form of TN in water body. This study can reveal the sources and contributions of nitrogen and phosphorus pollution in the Erhai Basin. By comparing 4 water quality evaluation methods of traditional gray correlation evaluation method, single factor evaluation method, comprehensive pollution index method and Nemerow pollution index method, we foud that improved water quality evaluation methods could objectively and accurately evaluate water quality. The improved water quality evaluation method is suitable for water quality evaluation of farmland irrigation and drainage ditches, and provides technological support for clarifying the main pollution factors of non-point source pollution control.

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谢坤,罗元,冯弋洋,吴凡,王贵云,张克强,沈仕洲,王风.改进灰色模式识别模型评价洱海雨季灌排沟渠水质[J].农业工程学报,2019,35(23):234-241. DOI:10.11975/j. issn.1002-6819.2019.23.029

Xie Kun, Luo Yuan, Feng Yiyang, Wu Fang, Wang Guiyun, Zhang Keqiang, Shen Shizhou, Wang Feng. Water quality evaluation of Erhai drainage ditch based on improved grey-mode identification model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2019,35(23):234-241. DOI:10.11975/j. issn.1002-6819.2019.23.029

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  • 收稿日期:2019-02-19
  • 最后修改日期:2019-09-10
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  • 在线发布日期: 2019-12-16
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