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 |