基于遥感的鄱阳湖丰水期悬浮泥沙数值模拟预测

发布时间：2018-04-24 08:37

本文选题：悬浮泥沙 + 数值模拟　；参考：《武汉大学学报(信息科学版)》2017年03期

【摘要】：悬浮泥沙是湖泊水体的重要水质要素之一,是湖泊水生态系统重要影响因子。利用遥感提取的鄱阳湖底质类型数据,对各类型底质区域上泥沙模型参数进行敏感性分析,基于2011年实测的不同底质区上泥沙浓度数据率定得到空间上不一致的泥沙模型参数,从而建立鄱阳湖丰水期二维悬浮泥沙输运模型。利用该模型模拟预测2013年丰水期悬浮泥沙输移过程,实测泥沙数据验证表明,模拟悬浮泥沙均方根误差为19.8mg/L,相关系数R~2为0.78,该模型能够较好地进行悬浮泥沙模拟预测。对比模型模拟和遥感反演的悬浮泥沙空间分布,两者具有较好的空间一致性,进一步表明该模型能够可靠地模拟预测鄱阳湖悬浮泥沙的时空动态变化。本研究充分利用遥感数据辅助建立鄱阳湖泥沙输移模型,为湖泊水环境动态变化监测提供有力的技术方法支撑,为进一步进行鄱阳湖水环境动态变化的数值模拟预测研究提供基础。
[Abstract]:Suspended sediment is one of the most important water quality factors in lake water and an important influence factor on lake water ecosystem. Using the sediment type data of Poyang Lake extracted by remote sensing, the sensitivity analysis of sediment model parameters on various sediment types is carried out. Based on the data rate of sediment concentration measured in different sediment areas in 2011, the spatial inconsistent sediment model parameters are obtained. Thus, a two-dimensional suspended sediment transport model of Poyang Lake is established. The model is used to simulate and predict the suspended sediment transport process in the high water season in 2013. The measured sediment data verify that the root-mean-square error of simulated suspended sediment is 19.8mg / L and the correlation coefficient is 0.78. The model can be used to simulate and predict suspended sediment. The spatial distribution of suspended sediment in Poyang Lake can be predicted reliably by comparing the spatial distribution of suspended sediment with that of remote sensing inversion, which shows that the model can simulate and predict the temporal and spatial dynamic changes of suspended sediment in Poyang Lake. This study makes full use of remote sensing data to establish sediment transport model of Poyang Lake, which provides powerful technical and methodological support for monitoring the dynamic changes of lake water environment. It provides a basis for further numerical simulation and prediction of the dynamic change of water environment in Poyang Lake.
【作者单位】：水利部中国科学院水工程生态研究所水利部水工程生态效应与生态修复重点实验室;武汉大学测绘遥感信息工程国家重点实验室;四川省应急测绘与防灾减灾工程技术研究中心;
【基金】：国家自然科学基金(41331174,41601043) 江西省重大生态安全问题监控协同创新中心专项项目(JXS-EW-08) 武汉大学测绘遥感信息工程国家重点实验室开放研究基金(15ZD04) 江西省重大水利科技竟争性项目(KT201504) 湖北省自然科学基金(2016CFB239)~~
【分类号】：P237;P332

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