About my PyVIN research
California has developed a vast water infrastructure network of reservoirs, aqueducts, and pipelines over the past 100 years to mitigate the trifecta of scarcity (Most populous state in the US, arid climate, and high agricultural production), now reaching roughly 700 miles from Shasta Lake in the north to the sunny beaches of San Diego in southern California.
The CALVIN model was developed by a team of researchers led by Professor Jay Lund and Professor Richard Howitt to gain insight into this complex water network. More information about the CALVIN model can be found on the CALVIN website.
PyVIN implements the CALVIN network structure with the Python language to create an open source hydro-economic modeling platform utilizing state of the art solvers. My work has been increasing the capabilities of PyVIN, including features to study how climate variability will impact water deliveries statewide and distilling model results to identify systemwide improvements to better prepare California for future droughts.
CALVIN Water Network
The Center for Watershed Sciences has developed a handy CALVIN network map which visualizes the entire network and results. For those unfamiliar with California’s extensive water system, this map will help contextualize the size and complexity of the PyVIN model.
EWRI Presentation
I will be presenting my poster at EWRI on Wednesday May 24th from 10:30am-12pm. Come swing by and ask questions!
Important Github Repositories
PyVIN repository
CALVIN data
Data export tool
PyVIN Webtool
Downloading the CALVIN data from Github can be a laborious process, so I am developing a webtool where users can fill out a form (example shown below) and submit to an Amazon Web Services virtual machine I manage and it will generate the data file without the need for the user to clone the CALVIN repositories to their desktop or download NodeJS.