A Machine Learning-Based System for Predicting Peak Flowrates of Nebraska Streams
项目名称: A Machine Learning-Based System for Predicting Peak Flowrates of Nebraska Streams
摘要: In this proposed research, the research team will model peak flowrates in Nebraska streams using new high-resolution datasets and a suite of machine learning algorithms. The team will use data from remote sensing and in-situ sources and study a wide range of predictors. The output would be a state-of-the-art system to estimate peak flowrates, which will be used in flood modeling. The team will build the system in such a way that it can be updated easily in light of new data.
状态: Active
资金: 194158
资助组织: Office of the Assistant Secretary for Research and Technology
执行机构: University of Nebraska-Lincoln
开始时间: 20210501
预计完成日期: 20220630
主题领域: Data and Information Technology;Environment;Planning and Forecasting
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