Publications by authors named "Qinru Shi"
Article Synopsis
- - Proposed hydropower dams in the Amazon Basin need careful consideration of environmental trade-offs, as the ecosystem services provided by this diverse area can be affected differently depending on dam placements.
- - Multiobjective optimization is utilized to find a balance that minimizes negative impacts on essential aspects like river flow, fish diversity, and greenhouse gas emissions while still achieving energy production targets.
- - Uncoordinated dam construction has led to lost ecosystem benefits, highlighting the need for collaborative approaches among Amazonian countries to better manage hydropower development across the entire region.
Article Synopsis
- Hundreds of dams have been proposed in the Amazon basin, presenting a considerable opportunity for renewable hydropower, but with potential high greenhouse gas (GHG) emissions.
- The carbon intensity of proposed hydropower projects varies significantly, with upland dams showing comparable emissions to solar and wind energy, while some lowland dams may produce more GHGs than fossil fuels.
- A multi-objective optimization framework indicates that effective, low-carbon hydropower development in the Amazon requires careful site selection for dams, focusing on higher elevations and smaller streams, alongside consideration of GHG emissions and social-ecological impacts.
A universal need in understanding complex networks is the identification of individual information channels and their mutual interactions under different conditions. In neuroscience, our premier example, networks made up of billions of nodes dynamically interact to bring about thought and action. Granger causality is a powerful tool for identifying linear interactions, but handling nonlinear interactions remains an unmet challenge.
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