2019-2020年期间长江下游沿海沿江水文气象数据集

为了建立多因素作用下沿海沿江潮位预报，收集了沿线南京、江阴等站潮位数据、河口潮差数据河口风速数据、气压数据、大通流量数据、典型台风数据、覆盖模型范围的水下地形数据，对原始进行存在重复值、错误值及缺失值，需要进行数据的清洗和缺补。数据填补主要采用回归填补的方法，利用相关关系较好的邻近站...

To establish tidal level forecasting along coastal and riverine areas under multiple influencing factors, tidal level data from stations including Nanjing, Jiangyin and others, estuarine tidal range data, estuarine wind speed data, atmospheric pressure data, Datong runoff data, typical typhoon data, and underwater topographic data covering the model domain were collected. The raw data contains duplicate, erroneous and missing values, so data cleaning and imputation are required. Regression imputation is mainly adopted for data imputation, leveraging adjacent stations with strong correlation...

搜集汇总

背景与挑战

背景概述

该数据集为2019至2020年期间长江下游沿海沿江区域的水文气象观测数据，包含潮位、流量、风速、气压、台风及地形等多源信息，数据经过清洗和回归填补处理，旨在为多因素作用下的潮位预报研究提供高质量数据支撑。