Precision in Practice: Building a 3D Dam Model for Safety and Flow Analysis

By Niklas Anderson, GISP, Geospatial Project Manager,
and Pete Haug, PE , Water Resources Manager
In a recent showcase of technical collaboration, our water resources, survey, and aerial mapping teams joined forces to deliver a high-resolution 3D model of Kingsley Dam. This model served as the foundation for a comprehensive water flow analysis and structural safety assessment, providing our client with actionable insights into the dam’s performance and resilience.

About the Expert:
Niklas Anderson, GISP, is a geospatial project manager with a strong background in aerial mapping, engineering applications, and geospatial data integration. With a focus on innovation and accuracy, Nik leads cross-functional teams in delivering high-resolution spatial products that support engineering, environmental, and infrastructure projects.

About the Expert:
Pete Haug, PE, is a seasoned engineer and manager of Ayres’ Water Resources group. Pete has extensive experience in hydrologic and hydraulic modeling, dam safety evaluations, and infrastructure resilience planning. He brings a practical, data-driven approach to solving complex water resource challenges and is passionate about integrating emerging technologies to improve dam safety decisions.
Integrating Advanced Data Collection Technologies
To capture the full complexity of Kingsley Dam and its surrounding environment outside Ogallala, Nebraska, our teams employed a multiplatform data acquisition strategy:
- Multibeam sonar: Our Water Resources group conducted bathymetric mapping of the reservoir and downstream channels using narrow beam (high accuracy) multibeam sonar. This technology provides detailed underwater topography and structure scanning, essential for understanding seepage path entry points, potential landslide locations, and the condition of underwater riprap.
- Terrestrial laser scanning: High-resolution terrestrial scanning was used to survey the dam face, spillways, and adjacent infrastructure. This ground-based data delivered millimeter-level accuracy in modeling structural features.
- UAS lidar: Our Geospatial division deployed drone-mounted lidar systems to capture topographic data across the broader watershed. This allowed us to model terrain, vegetation, and drainage patterns with exceptional detail and efficiency.
From Point Cloud to Engineering Model
The integrated LAS point cloud data was used to generate a Revit model of the dam and surrounding features. This model provided a precise, scalable digital representation of the structure, which was then used by our Water Resources engineers to conduct detailed hydraulic analyses. The Revit environment allowed for seamless integration of structural and hydrologic data, enabling simulations that were visually intuitive and technically robust.
From Data to Insight: Water Flow and Safety Analysis
Using the Revit-based model, our engineers simulated a range of hydrologic and hydraulic scenarios to evaluate:
- Flow behavior during high-precipitation events
- Potential overtopping or erosion risks
- Structural response under varying load conditions
The result was a robust, data-driven assessment of the dam’s current condition and future performance under stress.
Visualizing the Results: LAS Fly-Through Video
To help stakeholders fully appreciate the scope and integration of the data, our team also produced a fly-through video of the LAS point cloud. This immersive visualization showcases the seamless integration of sonar, terrestrial, and aerial datasets, bringing the 3D model to life and enhancing communication of technical findings to technical and nontechnical audiences.
Delivering Value Through Collaboration
This project exemplifies the power of interdisciplinary teamwork. By combining cutting-edge geospatial technologies with deep engineering expertise, we delivered a product that not only met technical requirements but also empowered our client to make informed, proactive decisions about dam safety and maintenance.
We’re proud of the innovation and precision that went into this project—and even more excited about the possibilities it opens for future infrastructure assessments.

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