NEXT DATA SCIENCE NIGHT ONLINE: NOV 23

5.15 p.m.  -   Data Science Night Welcoming

5.30 p.m. -  Presentation of Prof. William M. Miller - Northwestern University, Professor of Chemical and Biological Engineering, , McCormick School of Engineering, Northwestern University. Director of the Center for Engineering Sustainability and Resilience, Senior Fellow of Northwestern-Argonne Institute of Science and Engineering.

                               Distributed High-Frequency Sensing for Assessing Urban Green Infrastructure and Predicting Floodings  (The Nature Conservancy)
Zoom link to join the webinar: 

https://northwestern.zoom.us/j/91393180255?pwd=RWN5d3JGakt5VXVadThsZmhoTDU3dz09
Meeting ID: 913 9318 0255
Password: DSN2020

6.00 p.m -  Hacking session on Gather Town
Link to join Gather.  You will need to use a Chrome or Firefox window. A password is necessary to join and will be provided at the end of the webinar.
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Abstract:

Distributed High-Frequency Sensing for Assessing Urban Green Infrastructure and Predicting Flooding
Prof. William Miller, Chemical and Biological Engineering, Northwestern University
 
Cities worldwide are exploring green infrastructure (GI; rain gardens, green roofs, natural areas) to absorb stormwater and prevent flooding. GI is vital in cities with aging combined sewer systems, where heavy rainfall often leads to sewage discharges. Chronic stormwater-related flooding causes economic losses; degrades natural systems; and decreases the productivity, health, and psychosocial wellbeing of individuals, especially in underserved communities. There is an urgent need to quantify GI benefits. Engineers, data scientists, and social scientists at Northwestern and Argonne are conducting research at two sites with very different GI. The “greener” site is Gensburg-Markham Prairie (GMP), a high-quality tallgrass prairie in Markham, IL managed by Northeastern Illinois University and The Nature Conservancy. Data from a network of groundwater, surface water, and soil moisture sensors provides information on water storage and transport across GMP as a function of precipitation history, season, and time. This data is being used to develop hydrologic models to predict GMP water storage and release dynamics to understand GMP’s impact for mitigating flooding in surrounding neighborhoods. Research in Chatham, the Chicago neighborhood with the most flood insurance claims in 2007-2011, focuses on the physical and community impacts of installing GI, such as rain gardens and dry wells, in urban neighborhoods. 


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