Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Non-negative Matrix Factorization (NMF) Demo for the AGU 2023 EMMA Workshop

Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI ( to determine if accessing this resource is possible.
Type: Resource
Storage: The size of this resource is 2.3 MB
Created: Dec 04, 2023 at 6:45 p.m.
Last updated: Dec 04, 2023 at 6:48 p.m.
Citation: See how to cite this resource
Content types: Geographic Feature Content 
Sharing Status: Discoverable
Views: 119
Downloads: 75
+1 Votes: Be the first one to 
Comments: No comments (yet)


River and groundwater geochemistry reflect the integrated results of natural and anthropogenic biogeochemical processes that generate and transport solutes from rocks and soil to rivers and aquifers. These solutes can be derived from multiple sources, such as the weathering of silicate, carbonate, and evaporite rocks, meteoric precipitation, and human pollution. Delineating the contribution of each source to measured solute chemistry is critical for understanding biogeochemical processes and for helping policymakers improve management strategies to safeguard water resources under a changing climate.

End Member Mixing Analysis (EMMA) refers to a group of methods that are increasingly used to identify solute sources and quantify their contributions to water chemistry. EMMA techniques include statistical methods, inverse models, and emerging tools based on machine learning such as non-negative matrix factorization (NMF). As the availability of large hydrogeochemistry datasets and computational resources improves, there is an increased need for the hydrogeochemistry community to become fluent in a variety of EMMA approaches. In this half-day workshop, we will teach how to apply EMMA techniques with genuine river and groundwater hydrogeochemistry datasets in R and MATLAB to solve Earth and environmental sciences problems.

Workshop attendees will use the CUAHSI JupyterHub and MATLAB online cloud computing environment to complete workshop activities. This computing environment will be pre-configured with all necessary software in order to maximize engagement in end member mixing analysis workflows. While attendees are required to bring a personal laptop, all software libraries and hardware requirements will be pre-configured for them to use, no software installation will be necessary.

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


  You do not have permission to see these content files. Please contact an Owner if you wish to obtain access.

Related Resources

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
AGU 2023 EMMA Workshop Tao Wen  Discoverable &  Shareable Open Access


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research) OAC-2209864

How to Cite

Wen, T. (2023). Non-negative Matrix Factorization (NMF) Demo for the AGU 2023 EMMA Workshop, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


There are currently no comments

New Comment