%0 Generic
%A Zhao, Yubo
%D 2025
%T Dataset of Monitoring Water Quality Parameters Using Multi-source Data-driven Machine Learning Models
%U 
%R 10.4121/d866419b-60fe-4fff-b2e3-104e2cc37381.v1
%K water quality
%K Real-time Monitoring
%K surface water
%K Urban rivers
%K Machine Learning
%X <p>The data is sourced from China&#x27;s National Surface Water Quality Automatic Monitoring Real time Data Release System（ https://earthengine.google.com/ ）The data range is the water quality data of 74 monitoring stations in the Yangtze River Basin of Hubei Province, Hunan Province, China (longitude 110 ° -115 °, Latitude 28 ° -31.6 °), data types include water temperature, PH， Dissolved oxygen, chemical oxygen demand, total phosphorus, total nitrogen, ammonia nitrogen, turbidity, conductivity. The data collection time is February 13th, 2024.</p>
%I 4TU.ResearchData