<b>High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023</b>

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 (COD_Mn; 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.本数据集涵盖2000年至2023年中国境内湖泊与水库的8项水质参数月度数据。该数据通过随机森林（Random Forest）模型模拟生成，综合考量了气候、土壤性质以及人为活动的影响。所涉及的水质参数包括：pH、溶解氧（Dissolved Oxygen，DO；mg/L）、总氮（Total Nitrogen，TN；mg/L）、总磷（Total Phosphorus，TP；mg/L）、高锰酸盐指数（COD_Mn；mg/L）、浊度（Turbidity，Tur；JTU）、电导率（Electrical Conductivity，EC；S/m）以及溶解性有机碳（Dissolved Organic Carbon，DOC；mg/L）。数据以CSV格式存储，按湖泊与水库分类编排，每个CSV文件均包含对应湖泊或水库的月度水质数据及相应坐标信息。