一种基于植物形态特征的河道曼宁糙率系数预测方法
本申请涉及一种基于植物形态特征的河道曼宁糙率系数预测方法。所述方法包括:采集目标河道的物理属性数据及植被形态特征参数数据;基于物理属性数据通过预设河道模型数据库检索匹配得到河道模型参数,并构建河道基础模型;解析形态特征参数对曼宁糙率系数的影响规律,建立对应影响关系;根据该关系优化调整基础模型,形成预测模型;利用该模型进行预测,输出曼宁糙率系数结果。采用本方法能够有效整合植物形态因素,提升预测准确性与实用性,解决传统方法中忽略植被影响的局限性。
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