High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023

The dataset includes monthly data of eight water quality parameters for lakes and reservoirs in China from 2000 to 2023. The data were simulated using random forest models, taking into account the impacts of climate, soil properties, and anthropogenic activities. These water quality parameters are pH, dissolved oxygen (DO; mg/L), total nitrogen (TN; mg/L), total phosphorus (TP; mg/L), permanganate index (CODMn; mg/L), turbidity (Tur; JTU), electrical conductivity (EC; S/m) and dissolved organic carbon (DOC; mg/L). The data is stored in CSV format, sorted by lake and reservoir, and each CSV file contains monthly water quality data for the lake or reservoir and corresponding coordinates.

该数据集包含2000至2023年中国湖泊与水库的八项水质参数月度数据。数据采用随机森林模型（random forest models）模拟生成，同时考虑了气候、土壤特性及人为活动的影响。这些水质参数包括pH值、溶解氧（DO；mg/L）、总氮（TN；mg/L）、总磷（TP；mg/L）、高锰酸盐指数（CODMn；mg/L）、浊度（Tur；JTU）、电导率（EC；S/m）及溶解性有机碳（DOC；mg/L）。数据以CSV格式存储，按湖泊与水库分类排序；每个CSV文件包含对应湖泊或水库的月度水质数据及坐标信息。