Input data for flood severity modeling in Norfolk, VA

This is tabular input data originally used in two data-driven models (Poisson regression and Random Forest) for predicting flood severity. The inputs to the model (or predictor variables) are environmental conditions such as cumulative rainfall, high and low tides, etc. The outputs (or target variable) of the model is the number of flood reports per storm event. This data was used in work that is described in the following paper published in the Journal of Hydrology: https://doi.org/10.1016/j.jhydrol.2018.01.044.

本数据集源于表格型输入数据，最初用于构建两种数据驱动型模型（泊松回归和随机森林），以预测洪水严重程度。模型输入（或预测变量）包括累积降雨量、高低潮位等环境条件。模型输出（或目标变量）为每次风暴事件中的洪水报告数量。该数据集应用于以下发表于《水文杂志》的论文中所述的研究工作：https://doi.org/10.1016/j.jhydrol.2018.01.044。