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根据芬兰Valken-Kotinen湖2011年1—4月冰下溶解氧现场观测数据,经对这些数据进行统计分析,绘制出该湖冰下不同时刻溶解氧含量垂直分布图形,通过大量的数据拟合与优化辨识计算,得到了描述该结冰湖冰下溶解氧时空分布规律的一个新的正态分布数值模型。该数值模型中溶解氧含量的变化由深度和冰封持续时间来确定,与文献中的小波分析法和高斯拟合时间序列法的分析结果作比较,该数值模型计算出的冰下溶解氧含量值与实测值吻合效果更好,所绘制出的溶解氧含量曲面和等值线图形更光滑,最后讨论了进一步改进该模型需要考虑的一些因素。该研究结果可推广应用到其它寒区冰封湖泊或水产养殖池塘等水体环境的溶解氧问题研究中。
According to the field observation data of dissolved oxygen in ice from January to April 2011 in Valken-Kotinen Lake, Finland, the data were statistically analyzed and the vertical distribution of dissolved oxygen content at different time under the lake ice was drawn. Through a large amount of data fitting and A new normal distribution numerical model describing the spatiotemporal distribution of dissolved oxygen under icing lake ice was obtained. The change of dissolved oxygen content in this numerical model was determined by the depth and the duration of ice-seal, compared with the results of wavelet analysis and Gaussian fitting time series in the literature. The calculated dissolved oxygen content under ice The values agree well with the measured values, and the dissolved oxygen content curves and contour plots drawn are smoother. Finally, some factors to be considered in further improving the model are discussed. The results of this study can be applied to the study of dissolved oxygen in water environment such as ice fields in other cold regions or aquaculture ponds.