摘要
根据武汉市2009-2011年的养殖鱼塘溶解氧数据和对应的气象要素,通过多元逐步回归分析构建鱼塘的溶解氧含量预报预测模型,并在武汉和荆州进行了验证。结果表明:一般鱼塘溶解氧在5-9月期间较低,低值一般出现在清晨6-7时,且较低值出现与天气相关,即闷热型天气突降大雨易导致溶解氧值降低。溶解氧量预报预测模型R2均在0.7以上,拟合效果良好。
Based on the dissolved oxygen data in fish pond and meteorological element of Wuhan city during the period from 2009 to 2011, this study built a model of predicting dissolved oxygen concentration in fish pond, by means of matlab and multiple stepwise regression analysis. And it was verified by experiments in Wuhan and Jingzhou. Results showed that the dissolved oxygen was the lowest during May to September. The low value generally appeared from 6 am to 7am, and it was related to the muggy weather with bursting and heavy rain. The R2 of the forecast model were all above 0. 7, and the fitting effects were well.
出处
《淡水渔业》
CSCD
北大核心
2013年第5期89-92,共4页
Freshwater Fisheries
基金
公益性(气象)行业专项(201006029)
水产养殖气象保障关键技术
关键词
溶解氧
鱼塘
多元逐步回归
预测模型
dissolved oxygen
pond
multiple stepwise regression analysis
predicting model
