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Related Experiment Video

Updated: Dec 7, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Developing the hydrological dependency structure between streamgage and reservoir networks.

Sudarshana Mukhopadhyay1, A Sankarasubramanian2, Chandramauli Awasthi2

  • 1Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA. sudarshana.besu@gmail.com.

Scientific Data
|October 2, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new tool to map river and infrastructure connections, crucial for managing water resources during extreme events. It helps understand how river conditions impact infrastructure like reservoirs and power plants.

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Area of Science:

  • Environmental Science
  • Hydrology
  • Geospatial Analysis

Background:

  • Reliable operation of critical infrastructure (reservoirs, power plants) relies on monitoring riverine conditions, especially during hydrologic extremes.
  • Assessing the interdependency between river networks and infrastructure is challenging due to limitations in conventional watershed analysis tools.
  • Existing methods lack the relative topographic information needed to map infrastructure along river networks.

Purpose of the Study:

  • To develop a generic geo-processing tool for mapping riverine conditions and infrastructure interdependencies.
  • To create a River and Infrastructure Connectivity Network (RICON) for the Colorado River Basin (CRB).
  • To develop an algorithm for analyzing cascading interdependencies to support infrastructure management.

Main Methods:

  • Systematic combination of geospatial data layers: National Hydrographic Dataset (NHDPlusV2), USGS streamgages, and National Inventory of Dams reservoirs.
  • Application of a geo-processing tool to analyze the upper and lower Colorado River Basin.
  • Development of an algorithm to model cascading interdependencies between river and infrastructure networks.

Main Results:

  • The developed tool successfully generated the River and Infrastructure Connectivity Network (RICON) for the CRB.
  • RICON provides a concise edge list illustrating interdependencies between reservoirs and streamgages along the river network.
  • The study presents a novel algorithm for quantifying cascading interdependencies.

Conclusions:

  • The RICON framework offers a systematic approach to understanding river-infrastructure relationships.
  • The developed tool and algorithm enhance the management and operational strategies for critical infrastructures within river basins.
  • This methodology is applicable to large watershed analyses, improving resilience to hydrologic extremes.