30 Sep 2022

White Sands Missile Range Thurgood Canyon Watershed: Analysis of Range Road 7 for Development of Best Management Practices and Recommendations

Abstract: Thurgood Canyon, located on White Sands Missile Range (WSMR), contains an alluvial fan that is bisected by a primary installation road and is in the proximity of sensitive fish habitats. This project was initiated to determine if and how sensitive fish habitats at the base of the fan are impacted by the existing drainage infrastructure and to assess the condition and sustainability of the existing transportation infrastructure. Findings show that the current drainage infrastructure maintains flow energy and sediment carrying capacity further down the fan than would occur in its absence. However, frequent to moderately rare (small to medium) flood events dissipate over 2 km from sensitive habitat, and overland flow and sediment do not reach the base of the fan. Controlled flow diversion is recommended upstream of the road to mitigate infrastructure or habitat impacts during very rare (very large) flood events. A comprehensive operation and management approach is presented to achieve sustainable transportation infrastructure and reduce the likelihood of impacts to the sensitive habitat.

12 May 2021

Automated Characterization of Ridge-Swale Patterns Along the Mississippi River

Abstract: The orientation of constructed levee embankments relative to alluvial swales is a useful measure for identifying regions susceptible to backward erosion piping (BEP). This research was conducted to create an automated, efficient process to classify patterns and orientations of swales within the Lower Mississippi Valley (LMV) to support levee risk assessments. Two machine learning algorithms are used to train the classification models: a convolutional neural network and a U-net. The resulting workflow can identify linear topographic features but is unable to reliably differentiate swales from other features, such as the levee structure and riverbanks. Further tuning of training data or manual identification of regions of interest could yield significantly better results. The workflow also provides an orientation to each linear feature to support subsequent analyses of position relative to levee alignments. While the individual models fall short of immediate applicability, the procedure provides a feasible, automated scheme to assist in swale classification and characterization within mature alluvial valley systems similar to LMV.