The Stone Team is currently involved in ten research projects across the western United States and abroad. Please take a look at our project overviews and feel free to contact us with questions or feedback.
Rio Chama Environmental Flows
The Rio Chama is the largest tributary to the Rio Grande and an important water source for New Mexico. Besides providing drinking and irrigation water, the Rio Chama also supports many other uses including hydropower, whitewater rafting, fishing, and riverine ecological systems. Current research efforts are examining the impacts of El Vado and Abiquiu Reservoir operations on the variety of water users on the river. The long-term goal of the research is to provide recommendations to management agencies on how to maximize overall benefits of reservoir operations.
Subtask 1 – A systems dynamic (SD) model is being developed to examine the impacts of new operation scenarios on the Rio Chama. The SD model includes ecological processes, such as riparian recruitment and geomorphological sediment transport, hydropower production, and whitewater rafting. A semi-stochastic modeling approach is being utilized to take advantage of long-term historical records and to determine statistical trends resulting from operational changes.
Subtask 2 – Anthropogenic variations in the natural flow regimes, especially from dams, have not only effected the flow of the rivers, but the functionality. There is less sediment transport and natural highs and lows are changed in both magnitude and timing, which change the dynamic movement of the river and habitat for native species.
Subtask 3 – The goal of this subtask is to relate brown trout habitat to sediment transport on the Rio Chama at the Archuleta and Cebolla sites, located between El Vado and Abiquiu Reservoirs. Both fine sediment samples and wolman pebble counts have been taken at each site. This data along with a hydraulic model will be be used to evaluate boundary shear stress and incipient motion for a range of flows within SRH-2D that meet brown trout habitat needs.
Gila River Wetlands Study
The state of New Mexico received an additional 14,000 AF/year of water on the Gila River, as an outcome of the Arizona Water Settlement Act. This research is focused on quantifying the impacts of various alternatives of withdrawing this water on the hydrology of riparian wetlands (1 natural and 1 artificial) in the Cliff-Gila valley. A network of piezometers and monitoring wells will be installed to gauge the connectivity between the river and the wetlands, with a hydrologic budget being the primary output for both sites. An extension of this work includes investigations into the ecology of the wetlands (i.e. algae, benthic macroinvertebrates, birds, flora, and water quality), to provide insight into how these communities may be impacted from the additional withdrawals.
- Students: Jeffrey Samson (PhD) and David Forster (MS)
- Sponsors: New Mexico Interstate Stream Commission, U.S. Bureau of Reclamation
- Partners: The Nature Conservancy
Geomorphic Reclamation of Mines: La Plata Mine
Geomorphic reclamation is a mine reclamation method in which constructed landscape features are designed to be similar to surrounding natural formations. This design approach creates reclaimed land that is more stable than traditional reclamation practices. With a grant from the Office of Surface Mining and the support of BHP Billiton, this research aims to investigate the effectiveness of geomorphic reclamation at La Plata Mine in northwest New Mexico in comparison with a natural system nearby. In addition to comparing reclaimed and natural systems using field measurements, the watershed models WEPP and SEDCAD are being used to determine the effectiveness of models in describing geomorphic reclamation processes as well as to simulate future watershed response to land cover change, climate change, and wildfire.
- Students: Colin Byrne (PhD), Shahed Rahman (MS), and Rachel Powell (MS)
- Sponsors: Office of Surface Mining, U.S. Department of the Interior
- Partners: Co-PI – Dr. John Stormont, UNM
Quantifying the Ecosystem Service of Floodwave Attenuation
Subtask 1 – 1D and 2D Floodwave Modeling: One-dimensional flood routing models are commonly used to address practical and theoretical questions associated with flood wave routing. However little research has been done to address these same questions using more sophisticated two-dimensional flood routing tools. This project will focus on developing both a 1-D (HEC-RAS) and 2-D (SRH-2D) flood routing models to determine the effects of riparian vegetation and channel modifications (river engineering) on the attenuation of a flood waves through a portion of the Gila River and its corresponding floodplain. The results of the two models will be compared to evaluate how accurately a one-dimensional model simulates flood routing through a system.
- Student: Gena Slape (MS)
- Sponsors: The National Science Foundation
Subtask 2 – Evaluation of Vegetation Roughness Routines:
- Student: Harris Nassam (MS)
- Sponsors: The National Science Foundation
- Partners: The Desert Research Institute and USBOR
Riparian Vegetation Mapping and Modeling of the San Joaquin River Floodplain
Riparian vegetation plays an important role in flood attenuation in natural channels. Determining a Manning’s n value for hydraulic analysis can be a difficult and sometimes ambiguous task in this setting. This research focuses on the use of field measurements of vegetation parameters in conjunction with hydraulic computer modeling in order to determine a Manning’s n value for the floodplain. A field protocol has been developed for determining vegetation height, diameter, density, and leaf area index while a model is being developed for use in SRH-2D. This research is intended to develop a better understanding of open channel hydraulics and help map the floodplain more accurately.
- Student: Tyler Gillihan (MS)
- Sponsors: U.S. Bureau of Reclamation
- Partners: The Desert Research Institute and USBOR
Impacts of the Las Conchas Wildfire on the Hydrology of Peralta Canyon
We have entered into a cooperative assistance agreement with the Bureau of Land Management (BLM), to investigate the effects of the 2011 Las Conchas wildfire on the hydrology and sedimentology of Peralta canyon, which is located adjacent to Pueblo de Cochiti and Kasha-Katuwe Tent Rocks National Monument. Approximately fifty percent of the upper portion of the watershed has been effected by the wildfire — drastically changing peak flows seen in Peralta creek, impacting monument management, as well as jeopardizing downstream infrastructure in the monument and greatly increasing the flood risks seen by the Pueblo de Cochiti. This project was entered into with the larger picture goal of better understanding wildfire impacts on hydrology, as the frequency of wildfires in the southwest United States is increasing.
- Student: Robert Trujillo (MS) and Savannah Martinez (BS)
- Sponsor: U.S. Bureau of Land Management
Systematic Evaluation of Uncertainty in Integrated Climate Change Risk Assessments
With the coexistence of deterministic and stochastic simulations as applied to hydrological processes, it’s important and necessary to comprehensively and quantitatively describe the influence of uncertainty on the simulation process. Factors contributing to the uncertainty of predictions include parameter, model structure, and scenario uncertainty. The goal of this research is to explore the mechanisms for increasing the robustness of climate change impact studies by explicitly accounting for major forms of study uncertainty. We will also evaluate uncertainty in the study of wildfires in NM. This will be collaboration with LANL to build on the complementary expertise of this field.
- Student: Lijuan Jia (PhD)
- Sponsor: Los Alamos National Laboratory
Enhanced Dust Production Forecasts using Soil Moisture Models
The objective of this research is to demonstrate the use of a spatially explicit hydrologic model to improve descriptions of dust emissions in desert environments. Dust storms have steadily increased in frequency and severity in the southwestern United States as a result of land use practices and climate change. However, predicting dust events in both the short and long-term remains a challenge.
- Student: Lijuan Jia (PhD)
- Sponsor: New Mexico Space Grant (NASA)
- Partners: Co-PI, Dr. Karl Benedict
Consumptive Water Use in Energy Production
Energy production has long depended on water resources for not only the extraction and transportation of fossil fuels but also production of thermo electric and solar power. With Energy production having a large interdependency on a resource that is becoming a less abundant resource this relationship still does not have sufficient studies and data collected as to the consumption and withdrawal demands. This study will be investigating the best available information on this subject and validate if it is sufficient for future predictions and models that are currently being published about the Water-Energy Nexus.
- Student: Kent Steinhaus
- Partners: Sandia National Laboratory
Floodwave propagation and infiltration in desert regions: The Azraq Basin, Jordan
Providing a secure water future for Jordan in the face of rapid population growth and decreasing availability of water will require innovative progress in all aspects of water resource management, including the identification of underutilized resources. Ability to improve the efficiency of measures to deal with floodwaters, particularly in a low cost fashion, has the potential to rapidly advance this important development challenge for Jordan and the rest of the Middle East. This project will investigate holistic management of floodwaters in Jordan to better understand how this natural hazard can instead be viewed as a valuable natural resource.
- Sponsor: National Academy of Science, Partnerships for Enhanced Engagement in Research (PEER)
- Partners: Dr. Mo’ayyad Shawaqfah, Al al-Bayt University
Riparian vegetation plays important role in flood wave attenuation by providing resistance to the flow. It has great influence during high flows. Accurate representation of hydraulic roughness due to vegetation is integral for precise estimation of flooding. Hydraulic roughness of vegetation is determined in relation to vegetation characteristics like height, density and Leaf Area Index. This research focuses on utilizing LiDAR data to characterize the vegetation and determining hydraulic roughness. Two-dimensional hydrodynamic model is implemented for determining hydraulic roughness for the reach of Middle Rio Grande, New Mexico and San Joaquin River, California.
Bayesian network modeling approach assessing vegetation recruitment and recovery in wild-fire impacted watersheds (Lauren Jaramillo)
Over the past two decades, increased wildfire frequency, severity, and burned area has led to some of the most sever wildfires on record. Decision-making and planning for natural resource management is complex especially for fire impacted watersheds because of the vital importance of water resources, exorbitant cost of fire management and restoration, and the risks of the wildland-urban interface (WUI). Loss of vegetation due to wildfire, post-fire flooding, and debris flows can lead to further degradation of the watershed and increased vulnerability to erosion and debris flow. Land managers are charged with taking measures to mitigate degradation of the watershed effectively and efficiently with limited time, money, and data. Resilience Engineering (RE) is useful for understanding crucial system dynamics for resilient decision-making and system adaptation or recovery after these disturbances. The objective of this work is to develop a quantitative and modular RE model using a Bayesian network (BN) approach, which allows for the utilization of small and incomplete datasets, incorporation of expert knowledge, and to explicitly account for uncertainty in the system. Our work expands across an array of western sites including the impact of the Nuns Fire in Sonoma Creek Watershed, Kashe-Katuwe Tent Rocks National Monument in the fire-impacted Peralta Canyon Watershed, NM, and the Upper Gila Basin in southern NM. The BN-RE model can provide local decision-makers insights to guide risk management, watershed restoration activities, and future development projects.
Gerhard Schoener’s Research
My research focuses on rainfall-runoff processes in dryland catchments, particularly the impact of impervious surfaces, antecedent moisture conditions, and the role of ephemeral channels. My goal is to develop better tools for predicting runoff, managing stormwater in urbanizing catchments, and protecting vital ecosystem services provided by ephemeral stream systems.
The figure below is from a recent study that compared measured runoff (grey) with simulated flow (black) assuming dry and wet antecedent conditions.
Ryan W. Webb’s Research
My interests focus on representing the snowpack as layered porous media as it relates to hydrological processes. This research involves fluid mechanics, unsaturated physics of complex porous media, thermodynamics, and vadose zone hydrology. I have conducted investigations using combined approaches of in situ field observations, remote sensing, numerical modeling, geophysics, and applied tracer experiments. Additional interests include watershed and hillslope hydrology, hydrologic impacts of land cover changes, remote sensing of the environment, and water resources in developing countries.
Post-Wildfire Geomorphic Stream Response Since 1996 in Twelve New Mexican Watershedsn (Aljaz Praznik and Kyle Shour’s Research)
The severity, size, and frequency of wildfires has increased dramatically in New Mexico and across the American West over the past several decades. The severe nature of these fires has resulted in catastrophic consequences for downstream communities and ecosystems. In this research, we examined the geomorphic response of several streams in New Mexico after a wildfire, by analyzing changes in morphometric parameters using historical aerial photography sequences and by field reconnaissance on first through fourth order streams. We visited four sites in New Mexico that were burned by a wildfire between 1996 and 2013 and performed a reconnaissance on each location.