Zhang Hui, Zhao Shengnan, Shi Xiaohong, Zhang Jinda, Cui Zhimou, Wang Jingyi
Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China.
State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Inner Mongolia Agricultural University, Hohhot 010018, China.
Toxics. 2025 Apr 9;13(4):288. doi: 10.3390/toxics13040288.
To investigate the changes in heavy metal content in the sub glacial water during the freezing and thawing process of seasonally frozen lakes, the Wuliangsuhai Lake in northern China was taken as the research object. The ice thickness, water depth, and heavy metal content at different depths of the lake were measured during the freezing and thawing periods. Based on a large amount of measured lake heavy metal data, MATLAB 2022b software is used to model data fitting and optimization identification, and wavelet analysis and 24 h sliding average method are used for verification analysis to describe the variation process of heavy metal concentration in ice water with depth and time. The results show that during the freezing and thawing periods of lakes, the water level is constantly changing, but the heavy metal content in the water below the ice follows the same distribution with water depth. During the freezing process, the heavy metal content in the water increases with the increase in ice thickness. A new numerical model describing the spatiotemporal distribution of heavy metals under the ice during the freezing period of the lake was obtained through calculation. The overall trend of the simulated contour lines is consistent with the measured values and has a small error. This study provides a reference for predicting the changes in heavy metal content under the ice cover during the freezing period in cold and arid regions. The model can be used to simulate the content values of heavy metals at different depths and times.
为研究季节性冻土湖泊冻融过程中冰下水体重金属含量的变化情况,以中国北方的乌梁素海为研究对象。在湖泊的冻融期,测量了湖泊不同深度处的冰层厚度、水深及重金属含量。基于大量实测的湖泊重金属数据,利用MATLAB 2022b软件进行数据拟合和优化识别建模,并采用小波分析和24小时滑动平均法进行验证分析,以描述冰水体重金属浓度随深度和时间的变化过程。结果表明,在湖泊的冻融期,水位不断变化,但冰层以下水体中的重金属含量随水深呈相同分布。在冻结过程中,水体中的重金属含量随冰层厚度增加而增加。通过计算得到了描述湖泊冻结期冰层下重金属时空分布的新数值模型。模拟等值线的总体趋势与实测值一致,误差较小。该研究为预测寒冷干旱地区冻结期冰盖下重金属含量变化提供了参考。该模型可用于模拟不同深度和时间的重金属含量值。