全球湖泊营养状态指数（TSI）数据集（2003-2023年）

本数据集主要内容为2003—2023年全球湖泊TSI的年度估算结果。建设目的在于系统揭示全球湖泊水质营养状态的时空演变规律，并为湖泊水环境监测、富营养化治理及可持续管理提供科学支撑。数据服务对象主要为水环境与生态学研究人员、湖泊管理部门以及相关政策制定者。时间范围覆盖近二十年，空间范围涵盖全球大于10km2的湖泊。学科范围涉及环境科学、水文学、生态学和地理信息科学。该数据集包含使用机器学习方法得到的2003–2023年间全球14,189个面积大于10平方公里湖泊的营养状态指数（TSI）估算时间序列，包括湖泊的ID、名称、经纬度等属性信息和2003-2023年全球湖泊TSI的估算值。
数据量14,189条湖泊逐年观测记录，类型为属性表格数据，全球湖泊TSI估算时序.xlsx。

This dataset primarily comprises annual estimated values of the Trophic State Index (TSI) for global lakes spanning from 2003 to 2023. It was developed to systematically reveal the spatio-temporal evolution patterns of the trophic status of global lake water quality, and to provide scientific support for lake water environment monitoring, eutrophication control and sustainable management. The target users of this dataset mainly include researchers in aquatic environment and ecology, lake management departments, and relevant policy makers. Covering a time span of nearly two decades, the dataset includes all global lakes with an area larger than 10 km², involving disciplines such as environmental science, hydrology, ecology and geographic information science. This dataset contains estimated TSI time series for 14,189 such global lakes from 2003 to 2023, which were generated using machine learning methods. It includes attribute information including lake ID, name, latitude and longitude, as well as the annual estimated TSI values of these lakes from 2003 to 2023. The dataset consists of 14,189 annual lake observation records in the form of attribute tabular data, stored in the file Global Lake TSI Estimated Time Series.xlsx.

搜集汇总

背景与挑战

背景概述

该数据集包含2003-2023年全球14,189个面积大于10平方公里的湖泊的营养状态指数（TSI）估算时间序列，数据来源于HydroLAKES数据库和MODIS卫星遥感产品反演，采用机器学习方法建立TSI遥感反演模型。数据集旨在为水环境与生态学研究人员、湖泊管理部门及政策制定者提供科学支撑。