This project will identify the drivers of thermal pollution within the Chicago River and examine the role of green space at the buffer and catchment scale in reducing water temperature. Specifically, this will include the calculation of daily thermal loads from potential sources of thermal pollution to identify the drivers of water temperature in the Chicago River. Thermal loads will be calculated for wastewater discharges, inflow from Lake Michigan, stormwater runoff, combined sewer overflows (CSOs) and cooling water discharges using data provided by the Metropolitan Water Reclamation District of Greater Chicago (MWRD) and modeling outputs from the Minnesota Urban Heat Export Tool (MINUHET). In addition, statistical analysis will be completed to determine if there is a significant correlation between landscape metrics within the buffer zone or the catchment area and the thermal loads for surface runoff. Landscape metrics will include percent green space, number of patches and patch density at the buffer and catchment scales and will be determined using FRAGSTATS to analyze land cover data.

• Determine how Lake Michigan microbial communities compare between near- to offshore sites and sites experiencing different nutrient inputs
• Evaluate which organisms are breaking down and assimilating various dissolved organic matter sources
• Determine how the response to a dissolved organic matter pulse is transmitted through the community over time

• Determine the impacts of invasive Asian carps on native fishes and aquatic food webs

• Examine the effects of nanotitanium dioxide on microbial communities in streams

This project proposes a computational framework to efficiently simulate the flood-infrastructure interaction mechanism, assess the impact and risk of flood on the infrastructure in the southern Lake Michigan region and provide recommendations on the selection of rational infrastructure types suitable for the flooding area. The goal of the proposed research is to mitigate potential losses, improve the current post disaster reconstruction strategy and therefore enhance the flood resilience of the infrastructure and coastal communities in the Great Lake region. Key outcomes include an extensive literature review on the flood hazard data and infrastructure damage data in the southern Lake Michigan region, and a computational framework that integrates the fluid-structure interaction model and flood risk assessment model.