Fall 2021 Series: Digital Hydroconnectivity Archive


2021 CUAHSI Cyberseminar Series: Digital Hydroconnectivity

All recordings in this series are available on our YouTube site.

When: Tuesdays, November 2 - 30, 2021

Time: 1:00 - 2:00 ET

Join us for CUAHSI Cyberseminar Series on Digital Hydroconnectivity to discuss the recent advances in geospatial data-driven approaches for developing hydrologic dependency of infrastructure systems. The series will provide an overview of methods, new research, and databases on accessible water data initiatives.


Week 1: November 2 - Open linked water sensor metadata

Session description: Integrating data from multiple sources is a challenging task across all scientific disciplines, including hydrology. Here, we present a framework that water data providers can use to publish site-level metadata on the internet in a way such that production of knowledge graphs that link together hydrologically or otherwise related hydrologic and hydrometric features can be automated. We introduce a persistent identifier registry (https://geoconnex.us) for environmental features and monitoring locations, and a demonstration set of reference web content about environmental features including, but not limited to, watershed boundaries, aquifers, known monitoring locations, administrative geographies, and water-related infrastructure locations that data-publishing organizations can link to.


Kyle Onda, Duke University



Week 2: November 9 - Developing river basin-scale connectivity between streamgages and reservoir networks

Session description: Developing the cascading interdependency between the riverine conditions and infrastructures for a large watershed is challenging, as conventional tools (e.g., watershed delineation) do not provide the relative topographic information on infrastructures along the river network. Here, we present a generic geo-processing tool that systematically combines three geospatial layers: topographic information from the National Hydrographic Dataset (NHDPlusV2), streamgages from the USGS National Water Information System, and reservoirs from the National Inventory of Dams, to develop the interdependency between reservoirs and streamgages. We discuss the implications, challenges and ongoing research in developing river-basin scale connectivity between infrastructure and riverine networks to support their management and operation.


Sudarshana Mukhopadhyay, Cornell University



Week 3: November 16 - Mainstem rivers and persistent hydrographic addressing in the context of linked open data

Session description: Nearly 400 years after the first quantitative hydrological studies, the familiar and intuitive properties of hydrologic landscape mechanics have resulted in a general vagueness about how hydrologic features are described, referenced, and understood. In the computer age, where knowledge must be expressed explicitly for machine interpretation and learning, this vagueness limits the integration and long-term compilation of knowledge (i.e., progress) in hydrographic, hydrologic, hydrodynamic, or hydrometric sciences (collectively hydroscience). This seminar will present a recent advance in surface hydrologic features: the mainstems data model and reference features. The data model is rooted in the rigorous data model formalisms of the ISO and OGC, but is also familiar, and based on the long legacy of hydrographic data developed by the USGS and EPA in RF1, the NHD, and the NHDPlus.


David Blodgett, USGS



Week 4: November 23 - Continental Scale Feature Level Flood Forecasts

Session description: Coming Soon


Mike Johnson, Lynker Technologies, NOAA-Affiliate



Week 5: November 30 - Digital Hydrological Connectivity and Critical Infrastructure Management: Progress and Opportunities

Session description: Developing a national database of hydrologic dependency of critical infrastucture provides useful information to support emergency management and to reduce the vunerability associated with cascading failures. Currently, no such national database exists. This panel discussion will call upon the importance of developing such a national database and will also highlight the progress and potential opportunties that can support safe and reliable operation of critical infrastructure.


Sankar Arumugam, North Carolina State University

Ximing Cai, University of Illinois Urbana-Champaign

Stacey Archfield, USGS


Jerad Bales, CUAHSI