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LOADEST

Subcategory: time-series modeling
Papers: 1 | Mentions: 1

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