Overview of Systematic Monitoring Networks for Surface Water Quality in the Amazon River Basin

Area of Science:

• Environmental Science
• Hydrology
• Water Resource Management

Background:

• Systematic water quality monitoring is vital for managing the Amazon River basin's critical role in biodiversity and climate regulation.
• Effective decision-making relies on comprehensive, historical time-series data for water resources.

Purpose of the Study:

• To evaluate the current landscape of systematic water quality monitoring networks within the Amazon River basin.
• Identify existing networks, their operational characteristics, and data availability.

Main Methods:

• Identification and analysis of five major water quality monitoring networks: National Hydrometeorological Network (RHN), Surface Water Quality Monitoring Network (RNQA), Hidrosat, Amazon Water, Air, and Soil Quality Monitoring Program (ProQAS/AM), and the So Hybam Observatory.
• Assessment of network age, spatial distribution, measured parameters, temporal frequency, and data limitations.

Main Results:

• The RHN offers broad spatial coverage but limited parameters and temporal gaps. Hidrosat uses satellite data for sediment estimation.
• ProQAS/AM focuses on Manaus with Water Quality Index data. RNQA includes microbiological data but has spatial concentration issues.
• The So Hybam Observatory monitors transboundary rivers with geochemical data but has restricted temporal frequency.

Conclusions:

• Each monitoring network in the Amazon possesses distinct characteristics and faces data gaps, necessitating expansion and standardization.
• Integrating these diverse datasets is essential for advanced temporal analysis and water body classification, supporting robust water resource management.
• The study highlights the need for system integration and sampling efficiency, serving as a key resource for unifying regional water quality information.