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LOADEST
Local Knowledge Graph (12 entities)
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Knowledge graph centered on LOADEST with 12 nodes and 26 connections. Top connected: elevational gradients, Significant stream chemistry response to temperatu, TOC analysis, concentration-discharge relationship, shale weathering.
Description
Machine learning approach using USGS LOADEST software to develop concentration time-series models by combining discharge and concentration data. Used to extrapolate long-term trends and fill data gaps.
Typical Equipment
- LOADEST software
Output Measurements
- predicted solute concentrations
- temporal trends
- load estimates
