Selected Publications

Phosphorus and fine sediment pollution are primary causes of water quality degradation. Streambank erosion is a potentially significant source of fine sediment and particulate phosphorus to watersheds, but it remains difficult to quantify the magnitude of this loading. A new, easily applied, watershed scale model was used to simulate the potential for future phosphorus and sediment loading from channel erosion in two watersheds: Big Dry Creek, Colorado and Lick Creek, North Carolina.
In Journal of Environmental Management, 2019

Excessive river erosion and sedimentation threatens critical infrastructure, degrades aquatic habitat, and impairs water quality. Tools for predicting the magnitude of erosion, sedimentation, and channel evolution processes are needed for effective mitigation and management. We present a new numerical model that simulates coupled river bed and bank erosion at the watershed scale.
In Journal of Hydrology, 2018

Nutrient pollution is a pervasive water quality problem. Stream restoration has been proposed as a novel approach to reduce loading and increase nutrient processing within streams. We summarize evidence from the literature on the efficacy of stream restoration for reducing nutrient loading and increasing nutrient removal in stream ecosystems. We also analyze published data on streambank phosphorus concentrations and riparian and stream denitrification rates to improve understanding of the potential benefits of stream restoration for phosphorus retention and nitrogen removal. Finally, we discuss the role of stream restoration in nutrient management and provide recommendations for practice and future research.
Critical Reviews in Environmental Science and Technology, 2017

Recent Publications

. Targeted hydrologic model calibration to improve prediction of ecologically-relevant flow metrics. In Journal of Hydrology, 2019.

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. Quantifying pollutant loading from channel sources: Watershed-scale application of the River Erosion Model. In Journal of Environmental Management, 2019.

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. Parsimonious sediment transport equations based on Bagnold's stream power approach. Earth Surface Processes and Landforms, 2018.

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. What role does stream restoration play in nutrient management?. Critical Reviews in Environmental Science and Technology, 2017.

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. Uncertainty and sensitivity in a bank stability model: Implications for estimating phosphorus loading. In Earth Surface Processes and Landforms, 2017.

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Projects

Coastal Armoring, Sea Level Rise, and Salt Marsh Migration

Examining how armoring of coastal properties will influence salt marsh migration and survival as sea levels rise.

Coordinating satellites to improve flood forecasting

Exploring how to coordinate multiple satellites to increase the frequency of data received during potential flood events and how this more frequent data could improve flood forecasting and warning.

River Erosion Model

A model for simulating watershed-scale channel change and pollutant loading.

Recent Posts

More Posts

This blog post was written while I was a fellow at the Institute for the Built Environment (IBE) at Colorado State University. The original post can be found here. Many people consider rivers in urban areas to be dirty, dangerous, and polluted. Unfortunately, they aren’t always wrong. Urban rivers are convenient dumping grounds for waste, and can flood, threatening homes and businesses. However, it doesn’t have to be this way.

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This blog post was written while I was a part of the CSU School of Global Environmental Sustainability (SOGES) Sustainability Leadership Fellows Program. Original posting here. I grew up on an urban river – the White River that flows through Indianapolis. Indiana isn’t a state known for its natural beauty, and not without reason. We have no mountains or oceans, and just a sliver of a Great Lake. Like many places in the Midwest, we are more defined by our farm fields than our natural features.

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This fall, one hurricane after another battered the U.S. – Harvey in Texas, Irma in Florida, and Maria in Puerto Rico. In addition to the damage from wind and storm surge, heavy rainfall from these storms caused significant flooding. Photographs provided stark visuals of just how extensive this flooding was, but it is also important to quantify their impact. Last year, Dr. Brooke Anderson and I developed an R package – countyfloods – to analyze flood magnitude using data from stream gages maintained by the US Geological Survey (USGS)1.

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Skills

R

Modeling

GIS