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Can River Sediments Sequester Nutrient Pollution?

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Can River Sediments Sequester Nutrient Pollution?

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Amazon
Area: 5888268 km2
Countries:
Brazil; Peru; Suriname; France; Colombia; Guyana; Bolivia; Venezuela; Ecuador
Cities:
Santa Cruz; Manaus; La Paz
PFAF ID:
HydroBasin Level:
Baseline Water Stress:
Water Quality Stress:
Sanitation Access Stress:
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Quick Info

Countries: United States of America
Regions: Mississippi River
Project SDGs:
Includes Sustainable Development Goals from the project and its locations.
Water Quality (SDG 6.3)
Integrated Water Resource Management (SDG 6.5)
Protect and Restore Ecosystems (SDG 6.6)
Progress to Date: Field work is currently in progress to collect data for analysis. Research; data collection and analysis
Services Needed: No services needed/offered
Desired Partners: Business
Government
NGO / Civil Society
UN Entity
Financial Institution
Language: English
Start & End Dates: Jan. 2020  »  Ongoing
Project Website: slu.edu/water
Contextual Condition(s): PHYSICAL: Ecosystem vulnerability or degradation, DATA: Limited data access and/or availability to understand river basin conditions
Additional Benefits: Better / more data on river basin conditions
Beneficiaries: Ecosystems
Project Source: User
Profile Completion: 77%

Project Overview

This project will enhance our understanding of the role that river sediments play in controlling downstream nutrient loading, eutrophication, and hypoxia and will help provide the foundation to enable future monitoring of sediment-related nutrient fluxes through ground-based remote sensing cameras. The Mississippi River makes an ideal study site because it features intensive agricultural land use, drains ~40% of the contiguous United States, and has delivered excessive nutri…

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This project will enhance our understanding of the role that river sediments play in controlling downstream nutrient loading, eutrophication, and hypoxia and will help provide the foundation to enable future monitoring of sediment-related nutrient fluxes through ground-based remote sensing cameras. The Mississippi River makes an ideal study site because it features intensive agricultural land use, drains ~40% of the contiguous United States, and has delivered excessive nutrient loads to the Gulf of Mexico that have led to eutrophic conditions. Our study will explore the potential for suspended and riverbed sediments to sequester excess nutrients from agriculture that enter rivers and may ultimately be delivered to the global ocean. We will correlate our sediment chemical data with depth modeling and remote sensing. Depth modeling will help identify the particle sizes which transport nutrients and where they are transported in the water column. These efforts could be relevant to mechanical (flow turbulence) influences on nutrient and sediment attachment. Thus, there is potential to “engineer” rivers (i.e., increase or decrease turbulent characteristics) to either reduce or increase the amount of nutrients that attach to sediments. Our remote sensing work will allow us to determine the overall input of nutrients in the suspended load to the ocean across space and time. Our study will be the first to explore the link between problems with nutrient loading and long-term sediment transport trends in the Mississippi River, allowing us to better estimate nutrient loads to the Gulf of Mexico. These efforts will inform ongoing management strategies to mitigate problems with marine dead zones.

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Basin and/or Contextual Conditions: PHYSICAL: Ecosystem vulnerability or degradation, DATA: Limited data access and/or availability to understand river basin conditions
Project Benefits: Better / more data on river basin conditions
Indirect or Direct Beneficiaries: Ecosystems

Partner Organizations


The Water Access, Technology, Environment and Resources (WATER) Institute is an interdisciplinary research Institute launched at Saint Louis University in June 2020 with the mission of advancing water innovation to serve humanity. The Institute brings together world-class researchers to solve … Learn More

Amanda Cox
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Liz Hasenmueller
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Rachel Rimmerman
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