Data Sets for Flood Project

These files contain the key data sets used in the predictive flood detection project by Lawrence Mdegela. A total of 6 files are included:

regionA.csv, regionB.csv, regionC.csv:These files provide hydrometeorological parameters derived from satellite estimates. They served as the main predictors during model development, including variables such as rainfall, temperature, relative humidity, and soil moisture.

levelmain.csv:This file contains historical river level data covering the period from 1979 to 2019. It was the primary target variable for both univariate and multivariate time series forecasting models.

KikuletwaTPC.csv:Historical river level data from manual stations, used for validating the sensor data collected at Kikavu Bridge.

kikavu_cleaned.csv:This file represents version 3 of the cleaned sensor data collected at Kikavu Bridge, shared as part of the project. The data underwent quality control and preprocessing to ensure its reliability for analysis.

Together, these data sets form the foundation of various components in the project, including model development, validation, and sensor-based real-time monitoring.

本文件集合包含Lawrence Mdegela开展的洪水预测检测项目所使用的核心数据集，共计6个文件：

regionA.csv、regionB.csv、regionC.csv：此类文件包含通过卫星反演得到的水文气象参数，作为模型开发阶段的核心预测因子，涵盖降雨量、气温、相对湿度与土壤湿度等变量。

levelmain.csv：该文件包含1979年至2019年的历史河流水位数据，作为单变量与多变量时间序列预测模型的核心目标变量。

KikuletwaTPC.csv：该文件包含来自人工监测站点的历史河流水位数据，用于验证基卡武桥（Kikavu Bridge）处采集的传感器数据。

kikavu_cleaned.csv：该文件为基卡武桥（Kikavu Bridge）采集的经清洗后的传感器数据的V3版本，作为项目共享数据发布。该数据已完成质量控制与预处理流程，以保障其用于分析的可靠性。

上述数据集共同构成了本项目各环节的基础，涵盖模型开发、模型验证以及基于传感器的实时监测等模块。