Aquaveo LLC

Provo, UT, United States

Aquaveo LLC

Provo, UT, United States
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Jones N.,Brigham Young University | Griffiths T.,Aquaveo LLC | Lemon A.,Aquaveo LLC
Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014 | Year: 2014

Virginia state law requires that all well permits in Virginia's Coastal Plain undergo a formal review process prior to approval. This process includes determining the impact of the prospective well on neighboring wells and on the drawdown of the potentiometric surface to ensure that it does not fall below critical levels established by regulation. Prospective wells resulting in negative impacts are either rejected or required to develop a mitigation plan. The impact of prospective wells has traditionally been modeled by VA-DEQ staff using a regional groundwater model. This process is labor intensive and involves multiple steps leading to potential error. In this paper we describe a GIS based system for automated well permitting in Virginia. The system involves the integration of a calibrated SEAWAT groundwater model into an ArcGIS geodatabase using the Simulation Feature dataset in the Arc Hydro Groundwater data model. The model is then used as a baseline for the analysis of candidate wells. Each candidate well is added to the model and the model is run to determine the impact of the well on drawdown and to compare the potentiometric surface to the critical water levels. The entire process is implemented using a series of connected, low level geoprocessing tools resulting in a simple automated process. The automation serves to reduce error, increase efficiency, and facilitate reproduction. The outputs include tables and GIS maps. The process, evaluation criteria, and products can be customized on an agency-by agency basis.


Swain N.R.,Aquaveo LLC | Christensen S.D.,U.S. Army | Snow A.D.,U.S. Army | Dolder H.,Aquaveo LLC | And 6 more authors.
Environmental Modelling and Software | Year: 2016

The interactive nature of web applications or “web apps” makes them a well-suited medium for conveying complex scientific concepts to lay audiences and creating decision support tools that harness cutting edge modeling techniques and promote the work of environmental scientists and engineers. Despite this potential, the technical expertise required to develop web apps represents a formidable barrier—even for scientists and engineers who are skilled programmers. This paper describes four hurdles that contribute to this barrier and introduces an approach to overcoming these hurdles. We present an open source implementation of this approach, a development and hosting environment for environmental web apps called Tethys Platform. Several case studies are provided that demonstrates how the approach, as implemented within Tethys Platform, successfully lowers the barrier to web app development in the environmental domain. © 2016 Elsevier Ltd


Jones N.L.,Brigham Young University | Wallace R.M.,U.S. Army | Jones R.,Aquaveo LLC | Butler C.,U.S. Army | Zundel A.,Aquaveo LLC
Journal of Hydroinformatics | Year: 2012

This paper describes an Application Programming Interface (API) for managing multi-dimensional data produced for water resource computational modeling that is being developed by the US Army Engineer Research and Development Center (ERDC), in conjunction with Brigham Young University. This API, along with a corresponding data standard, is being implemented within ERDC computational models to facilitate rapid data access, enhanced data compression and data sharing, and cross-platform independence. The API and data standard are known as the eXtensible Model Data Format (XMDF), and version 1.3 is available for free download. This API is designed to manage geometric data associated with grids, meshes, riverine and coastal cross sections, and both static and transient array-based datasets. The inclusion of coordinate system data makes it possible to share data between models developed in different coordinate systems. XMDF is used to store the data-intensive components of a modeling study in a compressed binary format that is platformindependent. It also provides a standardized file format that enhances modeling linking and data sharing between models. © IWA Publishing 2012.


Demirbilek Z.,U.S. Army | Zundel A.,Aquaveo Inc. | Panchang V.,Texas A&M University
Ports 2010: Building on the Past, Respecting the Future - Proceedings of the 12th Triannual International Conference | Year: 2010

Engineers involved in harbor engineering projects are confronted with a bewildering array of numerical models that can be used for simulating waves in harbors. As new models become available, the engineer is left wondering whether or not s/he should adopt them in favor of ones that are already used, and frequently has little by way of guidance on this question. This paper recommends a set of detailed benchmark tests (covering a wide range of physical conditions) that can help validate newer models and also assist the engineer in either selecting or not selecting a new model. © 2010 ASCE.


Jones N.L.,Brigham Young University | Smilowitz M.,Aquaveo LLC | Whitehead D.,City of Roseville
World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress | Year: 2011

The Sacramento Regional Model (SRM) encompasses an area of approximately 1,360 square miles (871,000 acres), overlying the North American and South American subbasins of the Sacramento Valley Groundwater Basin, and the Cosumnes subbasin of the San Joaquin Groundwater Basin. The SRM was developed on behalf of the City of Roseville to provide an analytical tool to support Aquifer Storage and Recovery Operations and modeling efforts that are being conducted to maintain the quality and ensure the long-term availability of groundwater to meet backup, emergency, and peak demands. The SRM is a multi-layer MODFLOW model that incorporates complex hydrogeology, including multiple aquifers and embedded ancestral stream channels. The model includes a sophisticated GIS-based water demand tool that utilizes a variety of spatial data including time-varying land use patterns, precipitation, and population projections. The SRM was developed in such a way that local-scale models can be easily extracted from the regional model to examine issues such as localized contaminant transport and aquifer storage and recovery. © 2011 ASCE.


Jones N.L.,Brigham Young University | Lemon A.M.,Aquaveo LLC | Kennard M.J.,Aquaveo LLC
Groundwater | Year: 2014

We present a methodology for storing the bulkier portions of a set of MODFLOW input and output files in a compressed binary format using the HDF5 library. This approach results in compression ratios of up to 99% with no significant time penalty. The highly compressed format is particularly beneficial when dealing with large regional models or Monte Carlo simulations. The strategy is focused on the list- and array-based portions of the input files including the cell property and recharge arrays, and is compatible with models containing parameters, including pilot points. The utilities are based on a modified version of the MODFLOW code and are, therefore, compatible with any standard MODFLOW simulation. We present used cases and instructions on how to use the utilities. © 2013, National Ground Water Association.


Nelson E.J.,Brigham Young University | McCarthy J.E.,Aquaveo LLC | Paudel M.,Aquaveo LLC | Perez F.,Instituto Nacional Of Recursos Hidricos Indrhi
River Flow 2012 - Proceedings of the International Conference on Fluvial Hydraulics | Year: 2012

Watershed sedimentation is a difficult process to simulate with numerical models. The various forms of the Universal Soil Loss Equations have been used to provide estimates for a wide range of watershed and climactic conditions. However the USLE equations are empirically derived and difficult to use for estimating sediment loads from spatially diverse watersheds. This makes them of limited value for evaluating different land use scenarios that impact watershed erosion, especially when spatial location of the land use change is a critical factor. The GSSHA model developed by the USArmy Corps of Engineers is a spatially distributed hydrodynamic model capable of including many different processes, including sediment erosion and deposition. Preliminary results of an ongoing comparison of the GSSHA model with the traditional USLE empirical models show that the GSSHA model produces reasonable results and that because of the way in which the physical processes are formulated it has promise for use in evaluating changes that might associated with urban development and other similar deforestation practices. © 2012 Taylor & Francis Group.


Jones N.L.,Brigham Young University | Strassberg G.,Aquaveo LLC | Lemon A.,Aquaveo LLC
World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010 | Year: 2010

In this paper we describe a GIS-based system for automated well permitting. The system involves the integration of a calibrated MODFLOW groundwater model into an ArcGIS geodatabase using the Simulation feature dataset in the Arc Hydro Groundwater data model. The model is then used as a baseline for the analysis of candidate wells. Each candidate well is added to the model and the model is run to determine the impact of the well on streamflow, drawdown, etc. The entire process is implemented using a series of connected, low-level geoprocessing tools resulting in a simple automated process. The automation serves to reduce error and increase efficiency. The outputs include tables and GIS maps. The process, evaluation criteria, and products can be customized on an agency-by-agency basis. We illustrate the process using case studies from Virginia and Florida. © 2010 ASCE.


Alford A.K.,University of Michigan | Lyzenga D.,University of Michigan | Beck R.F.,University of Michigan | Nwogu O.,University of Michigan | And 2 more authors.
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE | Year: 2015

The University of Michigan is leading a team that includes subcontractors Ohio State University, Aquaveo, LLC, and Woods Hole Oceanographic Institute to design, implement, and test an Environmental and Ship Motion Forecasting (ESMF) system. The system has application to many challenges associated with offshore operations, including skin-to-skin transfer of cargo/personnel and extreme wave/response prediction. Briefly, the system uses a modified commercial-off-the-shelf (COTS) Doppler marine radar to determine the wave field surrounding the vessel; nonlinear wave theory to propagate the wave surface forward in time; and seakeeping theory to predict future vessel motions. A major challenge is that all computations must be done in real time. This paper will briefly describe the system and show an example application of predicting extreme waves and motions for a floating offshore type platform. © 2015 by ASME.


PubMed | Aquaveo LLC
Type: Journal Article | Journal: Ground water | Year: 2014

We present a methodology for storing the bulkier portions of a set of MODFLOW input and output files in a compressed binary format using the HDF5 library. This approach results in compression ratios of up to 99% with no significant time penalty. The highly compressed format is particularly beneficial when dealing with large regional models or Monte Carlo simulations. The strategy is focused on the list- and array-based portions of the input files including the cell property and recharge arrays, and is compatible with models containing parameters, including pilot points. The utilities are based on a modified version of the MODFLOW code and are, therefore, compatible with any standard MODFLOW simulation. We present used cases and instructions on how to use the utilities.

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