Mentor
Annette Hilton - Bren School of Environmental Science and Management
Advisor
Scott Jasechko - Bren School of Environmental Science and Management
How to Analyze Groundwater & Be a Good Data Scientist
Interns
Maggie Hua - Biochemistry and Microbiology
Arnav Kumar - Computer Science
Kai Lam - Chemistry
Mahsun Mirmohammadsadeghi - Physiology
Project Description
The goal of this project is to introduce students to water data science &analysis by developing coding skills in R/RStudio.The subject matter of our analysis will be groundwater! Groundwater is contained in rocks underneath Earth's surface; aquifers are areas where lots of groundwater exists underneath the surface.Aquifers all over the world are used by humans for drinking water and agriculture, and in California, groundwater provides 40% of all water used in the state. Most of the groundwater in California comes from the Central Valley, which is one of the most important aquifers in the entire United States. Once the Central Valley had lots of groundwater, but over time groundwater has declined. How do we know? What can we do? In this project we will develop fundamental skills in data science: how to work with data reproducibly through coding, how to quickly analyze and visualize data, and how to interpret the results. Let's examine California groundwater levels over the past century and see what they can tell us! The skills you will build in this project will help you in your future research endeavors, no matter if they are water related or not.
Project Files