River Studies & Computational Modeling | News

Xiaofeng Liu's model will be tested on the Columbia River in the Pacific Northwest. Credit: Tian Zhou

Flowing towards cleaner rivers

Posted on December 12, 2017

What does a river researcher look like? The question may conjure images of people in leaning over the sides of boats to gather water samples or standing in swirling currents with large nets to catch debris, chest-high waders almost entirely submerged.

You’re probably not picturing someone sitting at a computer, writing code and devising complex algorithms. Yet this is how Xiaofeng Liu, an assistant professor of civil and environmental engineering at Penn State and an Institute for CyberScience (ICS) co-hire, studies rivers: by modeling them computationally.

Liu is an expert in creating computer models of fluids, and he applies his skills to predicting how water—and materials suspended or dissolved in water—flow in rivers. This work has major implications for environmental studies.

“We’re currently working on a project to quantify how much carbon dioxide (CO₂) rivers emit into the atmosphere,” said Liu. “This is critical for calculating our global carbon budget and understanding climate change.”

Rivers that breathe

Recent research at Yale University, published in the journal Nature, has found that rivers contribute significant amounts of CO₂ to the atmosphere—up to a quarter as much CO₂ as is emitted by fossil fuel burning and land use change. This is an astonishing amount, given the relatively little land area that rivers occupy.

To better understand this phenomenon, scientists need a better way of quantifying how much CO₂ rivers actually produce.

In collaboration with University of Texas at Austin (UT) and the Pacific Northwest National Laboratory (PNNL), Liu’s lab is currently working on this problem by creating a model that can simulate the movement of carbon from river water into the sediment of the river’s banks and bed, and vice versa. This movement is important because most riverine CO₂ is created when carbon seeps into river sediment and fuels CO₂-producing chemical reactions.

Carbon flows through rivers and into sediment through many natural processes. Rivers often carry organic materials, such as debris from plants, that can decompose and emit CO₂.

Though some models of riverine carbon flow exist, Liu’s model is the first to account for the fact that water passes both into and out of river sediment.

“Most models simulate the movement of water-borne entities into the sediment, but not the other way around,” said Liu. “In fact, it’s a two-way street, because water seeps into the sediment as well as flows out of it. To make a truly accurate model, you have to simulate this dynamic movement.”

The complex algorithms Liu uses to create this model require massive computational power. Liu relies on computer cores provided by ICS-ACI, Penn State’s high-performance research cloud.

Liu’s partner at UT will run physical experiments in a 5-meter flume, an artificial water channel meant to emulate the behavior of a river section. These experiments will provide data Liu needs to refine his model.

Once the model is calibrated at a small scale, Liu’s PNNL partners will test it at a much larger scale—a two-kilometer stretch of the Columbia River in the Pacific Northwest.

The scaled-up model will allow researchers to better understand the impact of rivers on global carbon emissions.

“The problem we’re tackling requires a team of experts with diverse skillsets,” said Liu. “It’s exciting to be providing the computational modeling expertise to this collaboration.”

Liu hopes that his model will be used not just to quantify carbon emissions from rivers, but also to understand the spread of riverine pollutants.

“The model is very flexible,” said Liu. “We’re using it to simulate carbon, but with a few changes it can model many contaminants in the river.”

This project is funded by the Department of Energy (DoE), which runs PNNL. Liu believes the DoE will eventually use the model in efforts to clean up pollution in the Columbia River, parts of which are contaminated with nuclear waste.

A winding journey

Though Liu’s work will be used to protect the environment, he did not begin his career as an environmental researcher. Instead, as an undergraduate, he studied building hydroelectric dams.

But in grad school, he shifted his focus to how dams and other human-made systems affect the environment, earning a master’s degree in environmental science.

“Engineers at that time built dams without thinking too much about the environmental impacts,” said Liu. “But gradually, society realized that these dams were causing unintended consequences in rivers. As awareness grew, I became more interested in the effects of dams and the negative impact they can create.”

Liu’s journey then took another turn. After earning his first master’s degree, he pursued another master’s in applied mathematics.

“Most of our computational models are based on solving differential equations,” said Liu. “I knew I wanted to use these models to understand the dynamics of rivers, but I needed to have a deep understanding of the equations first.”

Studying mathematics gave Liu the expertise he needed to pursue his Ph.D. in civil engineering. His doctoral studies focused on the computational modeling of fluids.

Liu’s skills are finding many uses. Besides developing models for the carbon respiration project, he has also worked on topics ranging from investigating water pollution caused by hydraulic fracturing (fracking) to helping remediate hazards from underwater unexploded munitions. He is even working on a project to help fish more easily navigate the Susquehanna River.

“There are many important and interesting questions out there that I’d like to answer,” said Liu. “One big problem is the issue of scale. We can make good models of what happens in a river in a small space. But how can we make the model accurate when simulating many miles of river, without becoming so complex that it’s too computationally intensive to run?

“Time scale is tricky, too. Current models can tell us what might happen over a couple hours or days. But we also need to predict things that could occur decades into the future. Bridging these scales is a major challenge.”

Though these challenges are daunting, Liu is eager to take them on. He’s motivated by a sense of how critical preserving our waterways is to society.

“This profession is old but has perpetual importance to civilization,” said Liu. “Without water, where would we be?”

ICDS News

Flowing towards cleaner rivers

Rivers that breathe

A winding journey

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