| 生化处理模式下生猪养殖污水特征分析与水质评价 |
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| 引用本文： | 周昊,周素茵,邬心迪.生化处理模式下生猪养殖污水特征分析与水质评价[J].浙江农林大学学报,2022,39(1):146-152. |
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| 作者姓名： | 周昊 周素茵 邬心迪 |
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| 作者单位： | 1.浙江农林大学 数学与计算机科学学院，浙江 杭州 3113002.浙江农林大学 浙江省林业智能监测与信息技术研究重点实验室，浙江 杭州 3113003.浙江经贸职业技术学院，浙江 杭州 310018 |
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| 基金项目： | 浙江省公益技术应用研究计划项目(LGN19F010001) |
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| 摘 要： | 目的 研究生化处理模式下的生猪养殖污水特征，找到一种合理、快速的水质评价方法，为猪场及相关监管部门了解污水处理情况提供理论依据。 方法 以浙北一家规模猪场为采样点，于2018年秋至2020年秋对处理后的养殖污水进行随机采样。先采用SPSS软件对样本进行统计特征分析，然后利用逐步多元回归分析方法确定影响污水水质的关键指标，再结合水质指标之间的相关性建立生猪污水最小水质指数评价模型。 结果 ①水质呈现季节性变化特征，春、夏季节水质优于秋、冬季节，尤其是夏季水质最好；②基于电导率和化学需氧量2个关键指标建立的最小水质指数评价模型的决定系数为0.994，该模型的验证结果表明:通过其评价的水质结果与基于氨氮、化学需氧量、总氮、总磷和酸碱度共5个指标的评价结果一致程度可达90%以上。 结论 基于关键指标构建的最小水质指数模型具有准确性和合理性，可用于生化处理模式下生猪养殖污水水质的快速评价。图4表3参28
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| 关 键 词： | 生猪 污水 水质评价 水质指数 |
| 收稿时间： | 2021-02-08 |
Characteristics analysis and water quality assessment of swine breeding wastewater under biochemical treatment mode |
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| ZHOU Hao,ZHOU Suyin,WU Xindi.Characteristics analysis and water quality assessment of swine breeding wastewater under biochemical treatment mode[J].Journal of Zhejiang A&F University,2022,39(1):146-152. |
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| Authors: | ZHOU Hao ZHOU Suyin WU Xindi |
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| Institution: | 1.College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, Zhejiang, China2.Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, Zhejiang, China3.Zhejiang Institute of Economics and Trade, Hangzhou 310018, Zhejiang, China |
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| Abstract: | Objective This objective is to analyze the characteristics of swine breeding wastewater under biochemical treatment mode, and put forward a reasonable and rapid water quality assessment method, so as to provide a theoretical basis for swine farms and related regulatory authorities to understand the wastewater treatment situation. Method A large-scale swine farm in northern Zhejiang was taken as the sampling location, and the treated breeding wastewater was randomly sampled from fall 2018 to fall 2020. Firstly, SPSS software was used to analyze the statistical characteristics of the samples, and then the stepwise multiple regression analysis method was used to determine the key indexes affecting the wastewater quality. Thirdly, combined with the correlation among the water quality indexes, the assessment model of the minimum water quality index for swine wastewater was established. Result (1) The water quality will change in different seasons, it was better in spring and summer than that in fall and winter, and the water quality in summer was the best. (2) Based on the electrical conductivity and chemical oxygen demand, the assessment model of the minimum water quality index was established, its determination coefficient was 0.994. The verification results showed that the consistency of evaluation grades of water quality based on the minimum model and five indexes include ammonia nitrogen, chemical oxygen demand, total nitrogen, total phosphorus and pH can be more than 90%. Conclusion The minimum water quality index model based on key indexes can be used for rapid evaluation of swine breeding wastewater quality under biochemical treatment mode, meanwhile its accuracy and rationality can be ensured. Ch, 4 fig. 3 tab. 28 ref.] |
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