five

Hampton Roads Environmental Time Series Data

收藏
DataONE2022-04-15 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:76a5bd854d07dcbcc51333d8b99822d081c5e03ed4797a1461dce2bf11f4306c
下载链接
链接失效反馈
官方服务:
资源简介:
This is raw environmental time series data stored in a sqlite database with a data schema loosely based off of ODM1.1. This scheme is shown in the data model figure included in the resource. The geographical location of these data is in the Hampton Roads region in South East Virginia. The variables of the time series are rainfall, tide, wind, and water table elevations. These data were processed and used as input for data-driven modeling for street flood severity prediction. The processing and modeling are described in this Journal of Hydrology Paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.

本数据集为原始环境时序数据,存储于SQLite数据库中,其数据模式(data schema)大致基于ODM1.1。该数据模式的具体形式可见于配套资源中的数据模型示意图。本数据集的采集区域为美国弗吉尼亚州东南部的汉普顿锚地(Hampton Roads)。该时序数据涵盖的变量包括降雨量、潮汐、风速及地下水位高程。经预处理后,该数据集被用作数据驱动建模的输入数据,用于开展街道内涝严重程度预测任务。相关数据预处理与建模流程的细节已发表于《水文学杂志(Journal of Hydrology)》的一篇论文中,其DOI链接为:https://doi.org/10.1016/j.jhydrol.2018.01.044.
创建时间:
2022-04-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作