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EEWR Brown Bag Seminar with Tom Postma and Dazhi Xi, Graduate Students

Speaker: Tom Postma and Dazhi Xi, Graduate Students
Series: EEWR Brown Bag Seminars
Location: Engineering Quad E225
Date/Time: Friday, April 5, 2019, 12:00:00 p.m. - 01:00:00 p.m.

Abstract:

Tom Postma: CO2 storage in basalts: how reactive rocks can provide storage security

Tom Postma The effectiveness of carbon capture and storage (CCS) as a climate change mitigation tool stands or falls with storage security: can we be sure the CO2 will stay where we put it? Of all trapping mechanisms identified, the one known as mineral trapping, in which CO2 is chemically converted into solid carbonate rock, is the most secure. Unfortunately, in most conventional reservoirs, this process happens on a timescale of tens to hundreds of thousands of years, far too long for practical applications. Recently, it was discovered that basalt (a rock made of solidified lava) has the potential to facilitate mineral trapping on much more manageable time scales (5-10 years), due to specific CO2-water-rock interactions. My current research focuses on field-scale modelling of this process. In my presentation, I will explore some of the questions we want answers to, the challenges we face when modelling geochemistry, and give an update on the current status of the research.

Dazhi Xi: Tropical Cyclone Rainfall Model and Risk Assessment

Dazhi Xi Tropical cyclones (TCs) are major natural disasters that affect numerous countries across the world. Over the past two centuries, the deaths of 1.9 million people are attributed by hazards related to TCs. Extreme rainfall associated with TCs has gradually attracting concerns of the public, as Hurricane Harvey 2017 and Hurricane Florence 2018 produced record-breaking rainfall and unprecedent damage. This research attempts to understand the hazard related to TC rainfall by applying a simplified dynamic TC rainfall model (TCRM) and a statistical TC rainfall model. Analysis on past TC events has been performed to understand the limitation of current TCRM, as well as to guide the improvement of the model. A statistical model of TC rainfall is built and compared with observation and TCRM. The models are applied to TC rainfall climatology analysis in Houston, and the effects of urbanization and TC-front interaction to TC rainfall characteristics have been discussed.