You are browsing the archive for larryohanlon, Author at Water Underground.
April 14, 2020
Listen to this global playlist of songs that are currently getting us through these times. Hopefully they will help you too!
October 3, 2019
With the climate strikes happening all over the world, I sometimes wish I had a crystal ball that would allow me to look into the future. Or even better, a crystal ball that could show me different scenarios of what will happen if we change, or not. Well, I do not have a crystal ball, but I do have a global scale hydrological model.
September 25, 2019
Here in New South Wales (NSW) in southeastern Australia, a long-running drought continues. The government’s water minister Melinda Pavey noted recently that “This drought is more severe than NSW has ever experienced” and some of the worst in living memory.
September 10, 2019
Shedding light on the invisible: addressing potential groundwater contamination by plastic microfibers
Until recently, the topic of plastic pollution was relatively unknown to the general public, although the problem was already under everyone’s very eyes. Indeed, plastic pollution has become one of the most debated issues over the last few years, in some cases even overshadowing the concerns about climate change, and with particular concern about the effects of microplastic (i.e. plastic particles smaller than 5 mm in length) in the natural environment.
July 8, 2019
When it comes to protecting the water resources that sustain society and the natural environment, it is perhaps unsurprising that groundwater is the part of water cycle that most folks tend to ignore.
June 27, 2019
Upcoming Chapman conference “Quest for Sustainability of Heavily Stressed Aquifers at Regional to Global Scales”
Abstracts are due soon (July 10th) for the upcoming Chapman conference on groundwater sustainability on Oct 21-24, 2019 in Valencia Spain.
June 25, 2019
Use programming languages to interact with, analyze, and visualize data is an increasingly important skill for hydrogeologists to have. Coding-based science makes it easier to process and visualize large amounts of data and increase the reproducibility of your work, both for yourself and others.