esselinov, V.V., et al., Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL), Department of Energy Technical Exchange Meeting, Performance Assessment Community of Practice, Hanford, April 13-14, 2010.
This document discusses using the MODFLOW groundwater model to evaluate the impact of artificial groundwater recharge in Abbid Sarbishe, Iran. A conceptual model of the study area was developed using hydrogeological data and discretized into a grid for use in MODFLOW. The model was calibrated and validated before using it to simulate different levels of artificial recharge. The results show that recharge has the greatest impact on piezometers closest to the recharge site, with water levels rising up to 2.25 meters. Western parts of the recharge site had a larger impact due to thinner unsaturated zones in the aquifer in that area.
This document provides an introduction and overview of groundwater modeling. It discusses why groundwater modeling is needed for effective groundwater management. It outlines the modeling process, including developing a conceptual model, selecting governing equations, model design, calibration, validation, and using the model for prediction. It describes different types of mathematical models, including analytical, finite difference, and finite element models. It emphasizes that a modeling protocol should establish the modeling purpose and ensure the conceptual model adequately represents the system behavior. The document stresses the importance of calibration, verification, and sensitivity analysis to evaluate a model's ability to reproduce measured conditions and the effects of uncertainty.
Data Requirements for Groundwater ModellingC. P. Kumar
Groundwater modeling requires data on the physical and hydrological framework of the aquifer. The physical framework data defines the aquifer geometry and properties, including topography, geology, aquifer thickness and boundaries. The hydrological framework data describes the flow in and out of the aquifer, such as water table elevations, recharge and discharge rates and areas. Collecting these types of data from existing sources and monitoring programs is the first step of any groundwater modeling study.
This document provides an overview of a presentation on MODFLOW given by Nisha Belbase and Prabin Banstola. It discusses the history and development of MODFLOW as a groundwater flow model developed by the USGS. It then describes key aspects of MODFLOW including its governing equations, inputs, outputs, versions, advantages, and disadvantages. Finally, it provides examples of MODFLOW being used for numerical modeling of groundwater in the Kathmandu Valley in Nepal.
Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
This document discusses using hydrological models like SWAT, MODFLOW, and SEAWAT to assess the impacts of climate change on water resources. It provides an overview of these models, including their inputs, outputs, capabilities, and examples of case studies applying the models. Specifically, SWAT is highlighted as it can be used at the watershed scale to model processes like precipitation, evapotranspiration, infiltration, surface runoff, and streamflow under different climate scenarios. The document emphasizes the importance of hydrological modeling and tools like MODFLOW for understanding and predicting hydrologic system responses to climate change.
Groundwater modeling has several purposes including understanding aquifer properties, characteristics, and response. It requires collecting hydrological, physical, and boundary condition data. Common groundwater modeling software includes MODFLOW and Sutra. The modeling process involves defining the problem, collecting data, choosing a code, running simulations, verifying results match field data through calibration, and using the model to inform management decisions.
This document discusses using the MODFLOW groundwater model to evaluate the impact of artificial groundwater recharge in Abbid Sarbishe, Iran. A conceptual model of the study area was developed using hydrogeological data and discretized into a grid for use in MODFLOW. The model was calibrated and validated before using it to simulate different levels of artificial recharge. The results show that recharge has the greatest impact on piezometers closest to the recharge site, with water levels rising up to 2.25 meters. Western parts of the recharge site had a larger impact due to thinner unsaturated zones in the aquifer in that area.
This document provides an introduction and overview of groundwater modeling. It discusses why groundwater modeling is needed for effective groundwater management. It outlines the modeling process, including developing a conceptual model, selecting governing equations, model design, calibration, validation, and using the model for prediction. It describes different types of mathematical models, including analytical, finite difference, and finite element models. It emphasizes that a modeling protocol should establish the modeling purpose and ensure the conceptual model adequately represents the system behavior. The document stresses the importance of calibration, verification, and sensitivity analysis to evaluate a model's ability to reproduce measured conditions and the effects of uncertainty.
Data Requirements for Groundwater ModellingC. P. Kumar
Groundwater modeling requires data on the physical and hydrological framework of the aquifer. The physical framework data defines the aquifer geometry and properties, including topography, geology, aquifer thickness and boundaries. The hydrological framework data describes the flow in and out of the aquifer, such as water table elevations, recharge and discharge rates and areas. Collecting these types of data from existing sources and monitoring programs is the first step of any groundwater modeling study.
This document provides an overview of a presentation on MODFLOW given by Nisha Belbase and Prabin Banstola. It discusses the history and development of MODFLOW as a groundwater flow model developed by the USGS. It then describes key aspects of MODFLOW including its governing equations, inputs, outputs, versions, advantages, and disadvantages. Finally, it provides examples of MODFLOW being used for numerical modeling of groundwater in the Kathmandu Valley in Nepal.
Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
This document discusses using hydrological models like SWAT, MODFLOW, and SEAWAT to assess the impacts of climate change on water resources. It provides an overview of these models, including their inputs, outputs, capabilities, and examples of case studies applying the models. Specifically, SWAT is highlighted as it can be used at the watershed scale to model processes like precipitation, evapotranspiration, infiltration, surface runoff, and streamflow under different climate scenarios. The document emphasizes the importance of hydrological modeling and tools like MODFLOW for understanding and predicting hydrologic system responses to climate change.
Groundwater modeling has several purposes including understanding aquifer properties, characteristics, and response. It requires collecting hydrological, physical, and boundary condition data. Common groundwater modeling software includes MODFLOW and Sutra. The modeling process involves defining the problem, collecting data, choosing a code, running simulations, verifying results match field data through calibration, and using the model to inform management decisions.
Flood Mapping via HEC-RAS Model and ArcGISLengthong KIM
This research was taken place along the lower Mekong river reach part in Cambodia. The purpose of the study is to evaluate the HEC-RAS performance whether it eligible for Cambodia flood studies or not.
Two Dimensional Flood Inundation Modelling In Urban Area Using WMS, HEC-RAS a...Amro Elfeki
This research presents a two-dimensional flood inundation modelling in urbanized areas when some features such as roads, buildings, and fences have great effect on flood propagation. Wadi Qows located in Jeddah City, Saudi Arabia was chosen as case study area because of the flood occurrence of 2009 causing lots of losses either economic or loss of life. The WMS and HEC-RAS program were used for a hydraulic simulation based on channel geometry built by incorporating urban features into DEM using GIS effectively. A resampling method of DEM 90 × 90 m become 10 × 10 m grid cell sizes was conducted to produce a higher resolution DEM suitable for urban flood inundation modelling. The results show that a higher resolution leads to increasing the average flood depth and decreasing the flood extent. Although the change of the grid cell sizes does not affect its elevation values, this approach is helpful to perform flood simulations in urban areas when high resolution DEM availability is limited. In addition, the integration of WMS, HEC-RAS and GIS are powerful tools for flood modelling in rural, mountainous and urban areas.
https://www.researchgate.net/publication/330004725_Two_Dimensional_Flood_Inundation_Modelling_in_Urban_Areas_Using_WMS_HEC-RAS_and_GIS_Case_Study_in_Jeddah_City_Saudi_Arabia_IEREK_Interdisciplinary_Series_for_Sustainable_Development
The document provides an overview of the update to the Northern Trinity/Woodbine Groundwater Availability Model (NTWO GAM) being conducted by Mullican & Associates for four groundwater conservation districts in Groundwater Management Area 8. Key points:
- The project aims to overhaul a critical modeling tool for the districts to aid in joint groundwater planning.
- It will address limitations in the existing NTWO GAM through expanding the calibration period to 2010, providing more accurate predictions at the county scale, and developing a new GAM compatible with the joint planning process.
- The work involves tasks such as conceptual model development, model construction, calibration, and documentation.
- Over 1,400 wells have been
Model for Prioritizing Catchments for Terrestrial Liming in NSCOGS Presentations
The document describes a model for prioritizing catchments for terrestrial liming in Nova Scotia to aid in mitigating freshwater acidification threatening Atlantic salmon populations. The model provides a complete workflow including catchment delineation, criteria analysis and ranking, weighting, and suitability scoring. It aims to identify the best catchments for liming through an easy-to-use interface and comprehensive user guide. Suggested improvements include further analysis of watershed delineation methods using different digital elevation models.
Classification either on quality or type based for groundwater can offer great advantages especially in regional groundwater management. It provides a short, quick processing, interpretation for a lot of complete hydro-chemical data sets and concise presentation of the results. There is a demonstrable need for a quality assurance, with the advanced usage of world's largest fresh water storage i.e Ground water. Its getting depleted over the years and the quality of the same degrading with a rapid pace. Ground water Quality is assessed mainly by the chemical analysis of samples. The data obtained from the chemical analysis is key for the further classification, analysis, correlation etc. Graphical and Numerical interpretation of the data is the main source for Hydro-chemical studies. In this paper we test the performance of the many available graphical and statistical methodologies used to classify water samples including: Collins bar diagram, Stiff pattern diagram, Schoeller plot, Piper diagram, Durov's Double Triangular Diagram, Gibbs's Diagram, Stuyfzand Classification. This paper explains various models which classify, correlate etc., summarizing the water quality data. The basic graphs and diagrams in each category are explained by sample diagrams. In addition to the diagrams an overall characterization of hydro-chemical facies of the water can be carried out by using plots which represents a water type and hardness domain. The combination of graphical and statistical techniques provides a consistent and objective means to classify large numbers of samples while retaining the ease of classic graphical presentation.
This presentation discusses methods for evaluating the impact of highway runoff on sediment quality. It identifies common contaminants of concern (COCs) in highway stormwater runoff, including metals, polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs). Methods are described for calculating stormwater loading of COCs, determining sediment deposition zones, and using modeling to predict sediment COC concentrations from stormwater inputs. Comparisons can then be made between predicted sediment concentrations and cleanup or background standards.
This document summarizes work using the Soil and Water Assessment Tool (SWAT) model to simulate the impacts of best management practices (BMPs) on nutrient loads in the Beargrass Creek Watershed in Kentucky. Key steps included delineating the watershed and streams from a digital elevation model, defining hydrologic response units based on soil and land use data, and calibrating the model using observed streamflow data. Preliminary results showed good agreement between observed and simulated streamflow. Next steps include improving the representation of tile drains, plant growth, soils, and calibrating nutrient loads to enable BMP scenario analysis. The goal is to identify effective BMP combinations while addressing challenges like routing runoff across the complex landscape.
Workshop on Storm Water Modeling ApproachesM. Damon Weiss
The attached presentation was prepared by Pennoni Associates and Michael Baker Corporation to the Pittsburgh Parks Conservancy and members of the Pennsylvania Environmental Council Green Infrastructure Network. The presentation discussed various watershed modeling techniques for regional, watershed and local projects, as well as an overview of the different tools that engineers use to create these models.
This document provides an outline for a student's undergraduate seminar presentation on assessing groundwater quality. The outline includes sections on introducing groundwater and the water cycle, reviewing relevant literature, stating the aims and objectives of assessing quality, sources of groundwater pollution, sampling methods, measures for assessment, graphical representation techniques, the importance of assessment, a case study, conclusions, and references. The case study examines a previous study on the hydrogeological assessment of groundwater resources in Abeokuta area, Nigeria.
This document describes a study that used a 2D hydrodynamic model (HEC-RAS) to simulate unsteady flow and map flood inundation along a 20 km reach of the Brazos River near Richmond, Texas. The study aimed to model flow conditions over time during a flooding event in June 2016 and map flood extent. A DEM and land cover data were used to develop the 2D model mesh and assign Manning's n values. The model results showed good correlation with observed water surface elevations. Maximum velocities, depths, and flooded areas were identified. The analysis provides useful insights into flood behavior that could inform flood management.
This document summarizes a presentation on improving reservoir simulation modeling with seismic attributes. It discusses how seismic interpretation provides information on stratigraphy, facies distribution, and reservoir properties through attributes. Seismic attributes can help with horizon and fault interpretation when seismic signals are poor. They are also used for facies and property modeling to distribute lithology and properties between wells and in un-drilled areas. Integrating seismic attributes into reservoir modeling can significantly improve dynamic models, simulations, and production forecasts.
The Development of a Catchment Management Modelling System for the Googong Re...GavanThomas
A scenario assessment model to assist the end-user in determining priorities for a series of agreed management prescriptions that can be enacted through controls on existing landuse
Cost (& Time) Optimization of Hydrogeological StudiesGidahatari Agua
Cost optimization has to identify the most common problems to the hydrogeological investigation as travel time and transport issues, seasonal restrictions, personal availability, protocols, etc. This post is focused on strategies and best practices for cost (& time) optimization, specially for hydrogeological investigation on mining projects.
The document discusses aquifer mapping projects being conducted in Gujarat, India. It outlines tasks for mapping aquifers in three pilot areas - Ahmedabad, Dasada, and Lodhika - which have different aquifer types. The goals are to identify and map aquifers, quantify groundwater resources, and propose management plans. Methods discussed include compiling existing data, generating new geological and geophysical data, assessing hydrology, and developing aquifer response models and management plans. Village-level groundwater budgets will also be prepared for selected areas.
Prof Graeme Dandy at the Landscape Science Cluster Seminar, May 2009pdalby
Professor Graeme Dandy from the University of Adelaide presenting on Optimisation of Water Management at the Landscape Science Cluster Seminar, May 2009
This document analyzes sediment quality in Hussainsagar Lake in Hyderabad, India using multivariate statistical techniques. Samples were collected from four inlet channels and analyzed for 12 chemical and heavy metal parameters. Factor analysis identified five factors that explained 71.05% of the total variance, grouping parameters according to common anthropogenic sources. Cluster analysis grouped the sampling stations into clusters based on their sediment quality characteristics, with one station showing higher pollution levels than the others. Principal component analysis was used to recognize patterns among the 14 parameters measured.
The document presents a design for a point-of-use system to remove uranium from groundwater for private well owners. It discusses the problem of high uranium levels found in wells in South Texas and the objectives of developing a low-cost, high-efficiency system. The engineering approach involves conceptualizing design alternatives and applying metrics to evaluate them based on objectives. Ion exchange and activated alumina are identified as potential methods and scored against the objectives, with ion exchange selected as the optimal design.
Modeling tools and Web based technologies can support water resources management by:
1) Applying numerical models to study groundwater, surface water, and marine water dynamics through case studies.
2) Addressing challenges in environmental science like complex multi-scale dynamics and data availability.
3) Developing information systems and simulations to analyze pressures, states, and impacts on the environment and identify critical areas.
Flood Mapping via HEC-RAS Model and ArcGISLengthong KIM
This research was taken place along the lower Mekong river reach part in Cambodia. The purpose of the study is to evaluate the HEC-RAS performance whether it eligible for Cambodia flood studies or not.
Two Dimensional Flood Inundation Modelling In Urban Area Using WMS, HEC-RAS a...Amro Elfeki
This research presents a two-dimensional flood inundation modelling in urbanized areas when some features such as roads, buildings, and fences have great effect on flood propagation. Wadi Qows located in Jeddah City, Saudi Arabia was chosen as case study area because of the flood occurrence of 2009 causing lots of losses either economic or loss of life. The WMS and HEC-RAS program were used for a hydraulic simulation based on channel geometry built by incorporating urban features into DEM using GIS effectively. A resampling method of DEM 90 × 90 m become 10 × 10 m grid cell sizes was conducted to produce a higher resolution DEM suitable for urban flood inundation modelling. The results show that a higher resolution leads to increasing the average flood depth and decreasing the flood extent. Although the change of the grid cell sizes does not affect its elevation values, this approach is helpful to perform flood simulations in urban areas when high resolution DEM availability is limited. In addition, the integration of WMS, HEC-RAS and GIS are powerful tools for flood modelling in rural, mountainous and urban areas.
https://www.researchgate.net/publication/330004725_Two_Dimensional_Flood_Inundation_Modelling_in_Urban_Areas_Using_WMS_HEC-RAS_and_GIS_Case_Study_in_Jeddah_City_Saudi_Arabia_IEREK_Interdisciplinary_Series_for_Sustainable_Development
The document provides an overview of the update to the Northern Trinity/Woodbine Groundwater Availability Model (NTWO GAM) being conducted by Mullican & Associates for four groundwater conservation districts in Groundwater Management Area 8. Key points:
- The project aims to overhaul a critical modeling tool for the districts to aid in joint groundwater planning.
- It will address limitations in the existing NTWO GAM through expanding the calibration period to 2010, providing more accurate predictions at the county scale, and developing a new GAM compatible with the joint planning process.
- The work involves tasks such as conceptual model development, model construction, calibration, and documentation.
- Over 1,400 wells have been
Model for Prioritizing Catchments for Terrestrial Liming in NSCOGS Presentations
The document describes a model for prioritizing catchments for terrestrial liming in Nova Scotia to aid in mitigating freshwater acidification threatening Atlantic salmon populations. The model provides a complete workflow including catchment delineation, criteria analysis and ranking, weighting, and suitability scoring. It aims to identify the best catchments for liming through an easy-to-use interface and comprehensive user guide. Suggested improvements include further analysis of watershed delineation methods using different digital elevation models.
Classification either on quality or type based for groundwater can offer great advantages especially in regional groundwater management. It provides a short, quick processing, interpretation for a lot of complete hydro-chemical data sets and concise presentation of the results. There is a demonstrable need for a quality assurance, with the advanced usage of world's largest fresh water storage i.e Ground water. Its getting depleted over the years and the quality of the same degrading with a rapid pace. Ground water Quality is assessed mainly by the chemical analysis of samples. The data obtained from the chemical analysis is key for the further classification, analysis, correlation etc. Graphical and Numerical interpretation of the data is the main source for Hydro-chemical studies. In this paper we test the performance of the many available graphical and statistical methodologies used to classify water samples including: Collins bar diagram, Stiff pattern diagram, Schoeller plot, Piper diagram, Durov's Double Triangular Diagram, Gibbs's Diagram, Stuyfzand Classification. This paper explains various models which classify, correlate etc., summarizing the water quality data. The basic graphs and diagrams in each category are explained by sample diagrams. In addition to the diagrams an overall characterization of hydro-chemical facies of the water can be carried out by using plots which represents a water type and hardness domain. The combination of graphical and statistical techniques provides a consistent and objective means to classify large numbers of samples while retaining the ease of classic graphical presentation.
This presentation discusses methods for evaluating the impact of highway runoff on sediment quality. It identifies common contaminants of concern (COCs) in highway stormwater runoff, including metals, polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs). Methods are described for calculating stormwater loading of COCs, determining sediment deposition zones, and using modeling to predict sediment COC concentrations from stormwater inputs. Comparisons can then be made between predicted sediment concentrations and cleanup or background standards.
This document summarizes work using the Soil and Water Assessment Tool (SWAT) model to simulate the impacts of best management practices (BMPs) on nutrient loads in the Beargrass Creek Watershed in Kentucky. Key steps included delineating the watershed and streams from a digital elevation model, defining hydrologic response units based on soil and land use data, and calibrating the model using observed streamflow data. Preliminary results showed good agreement between observed and simulated streamflow. Next steps include improving the representation of tile drains, plant growth, soils, and calibrating nutrient loads to enable BMP scenario analysis. The goal is to identify effective BMP combinations while addressing challenges like routing runoff across the complex landscape.
Workshop on Storm Water Modeling ApproachesM. Damon Weiss
The attached presentation was prepared by Pennoni Associates and Michael Baker Corporation to the Pittsburgh Parks Conservancy and members of the Pennsylvania Environmental Council Green Infrastructure Network. The presentation discussed various watershed modeling techniques for regional, watershed and local projects, as well as an overview of the different tools that engineers use to create these models.
This document provides an outline for a student's undergraduate seminar presentation on assessing groundwater quality. The outline includes sections on introducing groundwater and the water cycle, reviewing relevant literature, stating the aims and objectives of assessing quality, sources of groundwater pollution, sampling methods, measures for assessment, graphical representation techniques, the importance of assessment, a case study, conclusions, and references. The case study examines a previous study on the hydrogeological assessment of groundwater resources in Abeokuta area, Nigeria.
This document describes a study that used a 2D hydrodynamic model (HEC-RAS) to simulate unsteady flow and map flood inundation along a 20 km reach of the Brazos River near Richmond, Texas. The study aimed to model flow conditions over time during a flooding event in June 2016 and map flood extent. A DEM and land cover data were used to develop the 2D model mesh and assign Manning's n values. The model results showed good correlation with observed water surface elevations. Maximum velocities, depths, and flooded areas were identified. The analysis provides useful insights into flood behavior that could inform flood management.
This document summarizes a presentation on improving reservoir simulation modeling with seismic attributes. It discusses how seismic interpretation provides information on stratigraphy, facies distribution, and reservoir properties through attributes. Seismic attributes can help with horizon and fault interpretation when seismic signals are poor. They are also used for facies and property modeling to distribute lithology and properties between wells and in un-drilled areas. Integrating seismic attributes into reservoir modeling can significantly improve dynamic models, simulations, and production forecasts.
The Development of a Catchment Management Modelling System for the Googong Re...GavanThomas
A scenario assessment model to assist the end-user in determining priorities for a series of agreed management prescriptions that can be enacted through controls on existing landuse
Cost (& Time) Optimization of Hydrogeological StudiesGidahatari Agua
Cost optimization has to identify the most common problems to the hydrogeological investigation as travel time and transport issues, seasonal restrictions, personal availability, protocols, etc. This post is focused on strategies and best practices for cost (& time) optimization, specially for hydrogeological investigation on mining projects.
The document discusses aquifer mapping projects being conducted in Gujarat, India. It outlines tasks for mapping aquifers in three pilot areas - Ahmedabad, Dasada, and Lodhika - which have different aquifer types. The goals are to identify and map aquifers, quantify groundwater resources, and propose management plans. Methods discussed include compiling existing data, generating new geological and geophysical data, assessing hydrology, and developing aquifer response models and management plans. Village-level groundwater budgets will also be prepared for selected areas.
Prof Graeme Dandy at the Landscape Science Cluster Seminar, May 2009pdalby
Professor Graeme Dandy from the University of Adelaide presenting on Optimisation of Water Management at the Landscape Science Cluster Seminar, May 2009
This document analyzes sediment quality in Hussainsagar Lake in Hyderabad, India using multivariate statistical techniques. Samples were collected from four inlet channels and analyzed for 12 chemical and heavy metal parameters. Factor analysis identified five factors that explained 71.05% of the total variance, grouping parameters according to common anthropogenic sources. Cluster analysis grouped the sampling stations into clusters based on their sediment quality characteristics, with one station showing higher pollution levels than the others. Principal component analysis was used to recognize patterns among the 14 parameters measured.
The document presents a design for a point-of-use system to remove uranium from groundwater for private well owners. It discusses the problem of high uranium levels found in wells in South Texas and the objectives of developing a low-cost, high-efficiency system. The engineering approach involves conceptualizing design alternatives and applying metrics to evaluate them based on objectives. Ion exchange and activated alumina are identified as potential methods and scored against the objectives, with ion exchange selected as the optimal design.
Modeling tools and Web based technologies can support water resources management by:
1) Applying numerical models to study groundwater, surface water, and marine water dynamics through case studies.
2) Addressing challenges in environmental science like complex multi-scale dynamics and data availability.
3) Developing information systems and simulations to analyze pressures, states, and impacts on the environment and identify critical areas.
The document summarizes a monitoring and modeling plan to evaluate the effectiveness of green infrastructure stormwater best management practices (BMPs) installed along a streetscape project in Chicago. The plan includes monitoring rainfall, flows, water quality, and soil conditions at multiple locations before and after construction. Data will be used to model BMP performance and assess impacts of expanded BMP implementation across the city.
This document discusses extending the Rangeland Hydrology and Erosion Model (RHEM) from hillslopes to watershed and large areas using the KINEROS2 and AGWA hydrology models. It provides an overview of KINEROS2 and AGWA capabilities for modeling hydrology, erosion, and sediment transport at various scales. It also discusses challenges in obtaining RHEM parameters over large areas and potential approaches using data from the National Resources Inventory, ecological site descriptions, remote sensing, and regression relationships. The document concludes with next steps around improving parameterization and integrating state and transition models and remote sensing data.
Presented by Charlotte MacAlister, Birhanu Zemadim, Teklu Erkossa, Amare Haileslassie, Dan Fuka, Tammo Steenhuis, Solomon Seyoum, Holger Hoff, Kinde Getnet, and Nancy Johnson to the Nile Basin Development ChallengeScience and Reflection Workshop, Addis Ababa, 4-6 May 2011
This presentation demonstrates how geospatial tools like high resolution digital elevation models and GIS techniques can be used to identify critical nutrient source areas and target agricultural best management practices. It describes a project in the Grand River watershed that developed a DEM and used terrain analysis and the RUSLE model to map priority areas for gully and sheet erosion. These maps can help extension programs better target outreach and financial incentives to farmers in high risk locations. Initial results show this approach increased requests for technical assistance and requests for mapping in new areas. Future applications include identifying priority subwatersheds and connecting issues to appropriate BMPs.
The document describes developing a custom GIS application to examine the impact of raster datasets on flood and low streamflow regional regression models. The objectives are to 1) develop a custom GIS application, 2) examine the impact of DEM horizontal resolution, 3) examine new raster datasets, and 4) identify important watershed characteristics. The methods involve automating GIS processes to derive watershed boundaries and characteristics from soil, climate, hydrology, and remote sensing raster datasets at various resolutions for regional regression modeling.
2018 National Tanks Conference & Exposition: HRSC Data VisualizationAntea Group
Two of our High-Resolution Site Characterization (HRSC) Data Visualization posters featured at the 2018 NTC Conference in Louisville, KY.
1. Using Data Management and 3-Dimensional Data Visualization to Generate More Complete Conceptual Site Models and Streamline Site Closure
2. High-Resolution Site Characterization (HRSC) and 3-Dimensional Data Visualization for a Fractured Rock Site: A Path to Streamlined Closure
Coupling Monitoring Networks and Regional Scale Flow Models for the Managemen...joaoambiente
This document discusses coupling groundwater monitoring networks with regional scale flow models to manage groundwater resources in the Almádena-Odeáxere Aquifer in Portugal. A conceptual model of the aquifer was developed considering its geometry, water budget, boundary conditions, and hydraulic parameters. An initial model simulation using homogeneous parameters did not match observed data. Additional monitoring data allowed dividing the aquifer into zones and calibrating the model parameters, improving the fit between measured and simulated values. The calibrated model provides a basis for evaluating the aquifer's behavior under different scenarios and improving groundwater management.
Modeling CO2 injection into saline aquifers, Gonzalo Zambrano, University of ...Global CCS Institute
The document summarizes research on carbon capture and storage (CCS) being conducted by Dr. Rick Chalaturnyk and his research team at the University of Alberta. Some of the major areas of research include well integrity, reservoir geomechanics processes, risk assessment, and reservoir surveillance. The document provides details on several CCS-related research projects and field tests being carried out to evaluate CO2 injection and storage at sites such as Weyburn and Penn West. Numerical modeling is a key part of the research to simulate CO2 injection and predict fluid movement, trapping mechanisms, and reservoir responses over time.
Birr - Identifying Critical Portions of the LandscapeJose A. Hernandez
Terrain attributes derived from digital elevation models can be used to identify critical source areas for water quality protection. A study calculated terrain attributes like slope, curvature, and stream power index for two pilot watersheds in Minnesota. Field surveys showed higher values of attributes like specific catchment area and stream power index corresponded to locations of gullies and other erosion features. The results indicate terrain analysis can efficiently identify priority areas for conservation practices to reduce sediment and nutrient runoff.
This document summarizes a study that improved ecohydrological simulations in central Iowa watersheds by incorporating more accurate tile drainage and fertilizer application rate data into the SWAT model. The updated models showed better representation of streamflows, crop yields, and water balances compared to default models. Refining inputs like tile drainage maps and fertilizer rates improved model performance at over half of monitoring stations. The results highlight the importance of selecting accurate management data to realistically simulate baseline hydrologic and water quality conditions.
Scale-dependency and Sensitivity of Hydrological Estimations to Land Use and ...Beniamino Murgante
Scale-dependency and Sensitivity of Hydrological Estimations to Land Use and Topography for a Coastal Watershed in Mississippi - Vladimir J. Alarcon and Charles G. O’Hara
Flooding areas of Ofanto river using advanced topographic and hydraulic appro...Lia Romano
The Apulia Basin Authority is carrying out an advanced study to define flooding areas of the Ofanto River in southern Italy using modern technologies. Airborne laser scanning was used to create high-resolution digital terrain and surface models. A mixed 1D/2D hydraulic model was developed and roughness values were estimated using land use data from the laser scans. Simulation results showed peak flows exceeding channel capacity and inundation of agricultural and urban areas, highlighting the need for improved flood management.
This document describes a study that used cryospheric-hydrological models to evaluate the impacts of climate change on glaciers, runoff, and water availability in two Himalayan river basins. The models were set up and calibrated for the basins, then driven by downscaled climate projections from the CORDEX regional climate models. The results show declines in glacier volume and increases in air temperature and precipitation by 2100. Runoff is projected to initially increase but then decline in both basins. Water availability per person is projected to decrease in both basins due to the combined effects of climate change and population growth.
This document describes a study that used cryospheric-hydrological models to evaluate the impacts of climate change on glaciers, runoff, and water availability in two Himalayan river basins. The models were set up and calibrated for the basins, then driven by downscaled climate projections from the CORDEX regional climate models. The results show declines in glacier volume and increases in air temperature and precipitation by 2100. Runoff is projected to initially increase but then decline in both basins. Water availability per person is projected to decrease in both basins due to the combined effects of climate change and population growth.
The document summarizes a presentation on geoinformatics in hydrology and water resources. It discusses watershed analysis using GRASS GIS, including delineating watershed boundaries and factors that influence the analysis. It also covers groundwater modeling in GRASS, including defining initial conditions, parameters for modeling flow and solute transport, and a case study applying the techniques. Remote sensing and field data can be used to generate accurate modeling inputs. The presentation provides an overview of conducting watershed and groundwater analyses using open-source GIS tools in GRASS.
The document provides an outline for a presentation on the SWAT (Soil and Water Assessment Tool) hydrological model. It begins with an introduction to hydrological modeling and the development and utilities of the SWAT model. It describes the data requirements, model framework, and step-by-step procedure to run the model. A case study applying the SWAT model to the Simly Dam watershed in Pakistan is summarized. The limitations and future developments of the SWAT model are briefly discussed, followed by references.
2016 conservation track: automated river classification using gis delineated ...GIS in the Rockies
The document describes an automated GIS tool called RESonate that is used to classify river systems into functional process zones (FPZs) based on hydrogeomorphic characteristics. The tool extracts over a dozen variables like elevation, slope, and width from geospatial datasets. It then uses these variables to generate sample points and calculate additional metrics. Statistical analysis is applied to cluster sample segments into distinct FPZ classes. The tool was tested on the Carson River where it identified 5 FPZ classes. The goal of the tool is to provide a consistent classification method that can enhance compatibility between river analyses and improve communication among scientists.
Similar to Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL) (20)
Physics-Informed Machine Learning Methods for Data Analytics and Model Diagno...Velimir (monty) Vesselinov
This document summarizes research on physics-informed machine learning methods for data and model analysis. Key points include:
1) The methods couple data and model analytics to extract common hidden features using techniques like nonnegative tensor factorization.
2) Physics constraints are incorporated to identify important processes in datasets and model outputs.
3) The methods have been applied to analyze climate model outputs from Europe to identify dominant patterns in air temperature and water tables over time.
Velimir V Vesselinov (monty) 2019
Unsupervised machine learning methods for feature extraction
New Mexico Big Data & Analytics Summit, http://nmbdas.com, Albuquerque, February 2019.
http://tensors.lanl.gov
LA-UR-19-21450
Novel Machine Learning Methods for Extraction of Features Characterizing Comp...Velimir (monty) Vesselinov
1) Unsupervised machine learning methods like non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) are used to extract hidden features from datasets without prior information or training.
2) NMF/NTF decompose datasets into core tensors and factor matrices to identify dominant patterns and compress large datasets for analysis.
3) The document provides an example of using NTF to analyze simulations of reactive mixing, extracting the main time/space features representing physical processes from over 200GB of model output data.
Novel Machine Learning Methods for Extraction of Features Characterizing Data...Velimir (monty) Vesselinov
Vesselinov, V.V., Novel Machine Learning Methods for Extraction of Features Characterizing Datasets and Models, AGU Fall meeting, Washington D.C., 2018.
Data and Model-Driven Decision Support for Environmental Management of a Chro...Velimir (monty) Vesselinov
Vesselinov, V.V., Katzman, D., Broxton, D., Birdsell, K., Reneau, S., Vaniman, D., Longmire, P., Fabryka-Martin, J., Heikoop, J., Ding, M., Hickmott, D., Jacobs, E., Goering, T., Harp, D., Mishra, P., Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory (LANL), Waste Management Symposium 2013, Session 109: ER Challenges: Alternative Approaches for Achieving End State, Phoenix, AZ, February 28, 2013.
GNI: Coupling Model Analysis Tools and High-Performance Subsurface Flow and T...Velimir (monty) Vesselinov
Vesselinov, V.V., et al., AGNI: Coupling Model Analysis Tools and High-Performance Subsurface Flow and Transport Simulators for Risk and Performance Assessments, XIX International Conference on Computational Methods in Water Resources (CMWR 2012), University of Illinois at Urbana-Champaign, June 17-22, 2012.
Tomographic inverse estimation of aquifer properties based on pressure varia...Velimir (monty) Vesselinov
Vesselinov, V.V., Harp, D., Koch, R., Birdsell, K., Katzman, K., Tomographic inverse estimation of aquifer properties based on pressure variations caused by transient water-supply pumping, <em>AGU Meeting</em>, San Francisco, CA, December 15-19, 2008.
103. Vesselinov, V.V., Uncertainties in Transient Capture-Zone Estimates, CMWR 2006 XVI International Conference on Computational Methods in Water Resources, Copenhagen, Denmark, 18-22 June 2006.
Model-driven decision support for monitoring network design based on analysis...Velimir (monty) Vesselinov
Vesselinov, V.V., Harp, D., Katzman, D., Model-driven decision support for monitoring network design based on analysis of data and model uncertainties: methods and applications, H32F: Uncertainty Quantification and Parameter Estimation: Impacts on Risk and Decision Making, AGU Fall meeting, San Francisco, December 3-7, 2012, LA-UR-13-20189, (invited).
Decision Analyses Related to a Chromium Plume at Los Alamos National LaboratoryVelimir (monty) Vesselinov
Vesselinov, V.V., O'Malley, D., Katzman, D., Model-Assisted Decision Analyses Related to a Chromium Plume at Los Alamos National Laboratory, Waste Management Symposium, Phoenix, AZ, 2015.
Decision Support for Environmental Management of a Chromium Plume at Los Alam...Velimir (monty) Vesselinov
Vesselinov, V.V., Katzman, D., Broxton, D., Birdsell, K., Reneau, S., Vaniman, D., Longmire, P., Fabryka-Martin, J., Heikoop, J., Ding, M., Hickmott, D., Jacobs, E., Goering, T., Harp, D., Mishra, P., Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory (LANL), Waste Management Symposium 2013, Session 109: ER Challenges: Alternative Approaches for Achieving End State, Phoenix, AZ, February 28, 2013.
Reduced Order Models for Decision Analysis and Upscaling of Aquifer Heterogen...Velimir (monty) Vesselinov
Vesselinov, V.V., O'Malley, D., Alexandrov, B., Moore, B., Reduced Order Models for Decision Analysis and Upscaling of Aquifer Heterogeneity, AGU Fall Meeting, San Francisco, CA, 2016, (invited).
ZEM: Integrated Framework for Real-Time Data and Model Analyses for Robust En...Velimir (monty) Vesselinov
Vesselinov, V.V., O'Malley, D., Katzman, D., ZEM: Integrated Framework for Real-Time Data and Model Analyses for Robust Environmental Management Decision Making, Waste Management Symposium, Phoenix, AZ, 2016.
Vesselinov, V.V., O'Malley, D., Katzman, D., Decision Analyses for Groundwater Remediation, Waste Management Symposium, Phoenix, AZ, 2017.
la ur-17-21909
Vesselinov 2018 Novel machine learning methods for extraction of features cha...Velimir (monty) Vesselinov
Vesselinov, V.V., Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models, Recent Advances in Machine Learning and Computational Methods for Geoscience, Institute for Mathematics and its Applications, University of Minnesota, 2018.
LA UR-18-30987
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL)
1. Environmental Management
Modeling Activities at Los Alamos
National Laboratory (LANL)
Velimir V Vesselinov1, Danny Katzman2, Kay Birdsell1
David Broxton1, Phil Stauffer1, Dylan Harp1, Terry Miller1
1 Computational Earth Sciences (EES-16) , Earth and Environmental Sciences (EES),
2 Environmental Programs,
Los Alamos National Laboratory, Los Alamos, NM
Department of Energy Technical Exchange Meeting
Performance Assessment Community of Practice
Hanford, April 13-14, 2010
LA-UR 10-02613
2. Summary
Importance of groundwater at Los Alamos
Regional hydrogeology
Contaminant sources and Material Disposal Areas
History of groundwater-related Work at LANL
General facility monitoring (1949-1998; 12 wells)
Hydrogeologic Work Plan (1998-2005; 25 wells)
Provided framework for characterization of facility-scale
hydrogeology (Synthesis report, 2005)
Consent Order (since 2005; > 20 wells)
Site specific investigations targeted toward decision making
Modeling activities related to Environmental
Management
7. Groundwater at LANL
Groundwater is key to
environmental management and
selection of remedial alternatives
Interconnected hydrogeologic
zones:
Alluvial groundwater (canyon
bottoms)
Perched-intermediate
groundwater
Regional groundwater
(complex basin-scale aquifer
used for water supply of ~200,000
residents)
Discharges to Rio Grande
(major downstream community of
Albuquerque 600,000 residents)
Surface Water
Important characteristics:
Thick vadose zone with perching
horizons (flow is not strictly vertical)
Low infiltration under mesas, higher
transient infiltration under canyons
Highly heterogeneous media
including interfingered fractured and
porous units
Water-supply wells located close to
contaminant sources
8. Consent Order
Compliance Order on Consent between
LANL and New Mexico Environment
Department (NMED):
Regulatory framework for
Environmental Management and
Corrective Actions
Requires completion by 2015
Groundwater is key to selection of
remedial alternatives (concentrations
anywhere in the aquifer should be
below MCL’s)
Highlights:
Initially NMED and stakeholders had
major issues with application of models
for Environmental Management
Regular technical interactions between
LANL, NMED, stakeholders
Currently there is good acceptance of
model utilization and model results
9. Modeling Activities
Various models have been applied for EM:
Scale and resolution: basin, LANL-site, canyon,
contamination-site
Dimensionality: 1-3D; steady-state/transient
Simulated processes: subsurface multi-phase flow, multi-
component transport, geochemical reactions, soluble and
vapor-phase contaminants, erosion, biotic intrusion, surface
flow and sediment transport, air transport, …
Complexity: system/process
Purpose:
characterization
(model-based) decision support
driven by performance and risk
performed using process models using advanced
model-analysis tools
10. Modeling Activities
Critical aspects of modeling activities:
traceability and bookkeeping (bottleneck): conceptual
and numerical model assumptions; data sources;
references; expert knowledge; inputs from stakeholders
and regulators; version control
automated data import (from MySQL database into the models)
computational efficiency (parallelization, model reduction,
efficient techniques for simulation and model analysis)
script-based model coupling and pre-/post-processing
11. Data
More than 180 monitoring wells (including >55 regional wells)
More than 640 monitoring locations (well screens, gages,
springs …)
More than 600 geochemical analytes
More than 800,000 geochemical data entries
7 water-supply wells in close vicinity (LANL, Los Alamos)
More than 20 water-supply wells close by (Santa Fe, Pueblos,
residential)
More than 3,500,00 water-level observations
More than 70,000 daily pumping records associated with
water-supply wells
Most of the information is available online and is updated
several times each month http://racerdat.com/
12. Examples of Modeling Work at LANL
Characterization
conceptual model testing, evaluation and ranking
estimation of aquifer-parameter heterogeneity
nature and extent of contaminant plumes
source identification (location of contaminant arrival)
Decision Support (model-based decision
support driven by performance and risk)
evaluation and optimization of characterization
activities
evaluation and optimization of monitoring network
evaluation and optimization of remedial activities
performance/risk assessment, composite analyses
16. Numerical modeling of flow and transport in
the regional aquifer near Sandia Canyon
Current best estimate of
the chromium
concentrations (>50 ppb;
New Mexico standard)
along the regional water
table
Regional aquifer
water table (0.1 m
contours)
Direction of the
groundwater flow in the
regional aquifer based on
hydraulic gradients
Cr [ppb]
The numerical model is
capturing current
conceptual understanding
and calibrated against
existing data (taking into
account uncertainties)
Regardless of existing
uncertainties, the model
provide information
related to:
spatial distribution of
contaminant mass,
contaminant flux to the
regional aquifer,
monitoring-network
design, and
environmental risk
Sandia Canyon
Mortandad Canyon
17. Numerical model of
flow and transport
beneath Sandia
Canyon
Sandia
Canyon
Mortandad
Canyon
Water
saturation
Advective
flowpaths
18. Model predictions of the chromium plume in
the regional aquifer near Sandia Canyon
Due to uncertainties, a series of alternative models (plumes) are plausible
Model predictions are constrained by all the available regional-aquifer data
(hydrogeological and geochemical)
Some of the plausible
chromium plumes with
concentrations > 50 ppb (New
Mexico standard)
Uncertainty in transport directions
is due to uncertainty in flow
directions and aquifer anisotropy
19. Plausible contaminant-arrival locations
The source-identification problem is ill-posed:
substantial prior uncertainties,
large number of unknown parameter,
limited amount of observation data,
model complexity and non-linearity
allow for multiple plausible solutions of the inverse problem
The estimation of the potential locations of
contaminant arrival (source identification)
requires on the order of 105 to 106 model
executions.
These results are consistent with
previous model analyses for
decision support
20. Average contaminant concentrations taking
into account uncertainties in contaminant
flow and transport
New monitoring well (R-50) is proposed to
improve detection and protection efficiency
of the monitoring network.
21. 5837
5838
5839
5849
5850
5851
5852
5838
5839
5840
Raw data
Baro corrected
R-11
Elevation,ft
R-15
R-28
Water Levels vs. Pumping Records
Identification of water-supply wells
causing observed water-level
fluctuations
Estimation of effective aquifer properties
and their spatial distribution
These results are important for
contaminant fate and transport in the
regional aquifer 0
2500
5000
0
2500
5000
7500
10000
0
2500
5000
7500
10000
0
2500
5000
7500
10000
0
2500
5000
7500
0
1000
2000
3000
10/1/2004 4/1/2005 10/1/2005 4/1/2006 10/1/2006 4/1/2007 10/1/2007
0
2500
5000
7500
10000
PM-1
PM-2
PM-3
Dailyproductionvolumes,gallons
PM-4
PM-5
O-1
O-4
Chromium site
(Sandia Canyon)
Water-supply wells
Monitoring wells
22. TA-16: CME
Models are applied to evaluate
environmental risk, select
remedies, and optimize the
monitoring network
23. TA-54 MDA G: Performance Assessment and
Composite Analysis
Operating site since 1957
Radioactive waste
100 Acres, 35 pits, 200+ shafts
24. Erosion and Sediment
Transport
TA-54 MDA G: Natural transport processes for
disposed wastes
Biotic Intrusion
Plant roots and burrowing
animals
Groundwater Transport
Deep vadose zone and regional aquifer
Atmospheric
Transport
Subsurface Vapor-Phase
Transport
Tritium, radon, C-14 gas,
krypton
25. TA-54 MDA G: Modeling approach for Performance
Assessment and Composite Analysis
3D flow and
transport
model
with 8
disposal
regions is
applied to
estimate
abstracted
1D flow path
models
26. Erosion and Sediment
Transport (SIBERIA):
3D model estimates
cover thickness vs time
TA-54 MDA G: Modeling approach for Performance
Assessment and Composite Analysis
Atmospheric Dispersion
(CALPUFF) : Complex
terrain model estimates
contaminant deposition
rates
Diffusive Transport (GoldSim):
Model predicts fluxes of vapor-
and gas-phase radionuclides at
ground surface
Infiltration (HYDRUS):
Model predicts spatial
distribution of infiltration
rates
Groundwater Flow and
Transport (FEHM): 3D
model used to develop 1D
process-model abstraction
for use in the system
model
System Model (GoldSim)
Integrates results from process models
Estimates potential radiation doses received by humans
Biotic Intrusion (GoldSim):
Model predicts rates of
contaminant deposition on
facility surface following
root and burrow penetration
into waste
27. Baseline risk assessment at
MDA T uses MDA G PA/CA
approach
MDA T: former radioactive
waste disposal site (1945-
1974)
Proposed as an ASCEM
demo site for actinide
transport: oldest actinide
site, good amount of
collected data, significant
rad inventory, complex flow
& transport (fractures,
colloids), liquid and
cementitious waste
TA-21 MDA T: Baseline risk assessment
28. TA-54
Areas Encompassed by Network Evaluations
Monitoring Network Evaluations
Monitoring network analyses require
on the order of 103 to 104 model
executions per site. Currently more
than 40 sites are analyzed.
Monitoring Network Evaluations are based on Monte-Carlo quantification of
uncertainties. The goal is to achieve 95% detection and protection efficiency of
potential plumes in regional aquifer.
29. Some of the wells proposed by network
evaluations
30. Conclusions
LANL is a complex site for environmental
management
series of contaminant sources and disposal areas with long
operational records, data collection history, and site studies
thick vadose zone with perching horizons
infiltration rates exhibit strong spatial and temporal variability
highly heterogeneous geologic medium with interfingered fractured
and porous units
water-supply wells located in close vicinity to contaminant sources
active regulators and stakeholders
Groundwater is key to environmental management
and selection of remedial alternatives
Models with different complexity (process/system)
are applied for environmental management and
decision making
31. Contact info:
Danny Katzman, katzman@lanl.gov
• LANL Environmental Programs: Program Manager
Velimir V Vesselinov (monty), vvv@lanl.gov
• LANL Environmental Programs: PI for “Flow and Transport Modeling”
• ASCEM: Task Lead of “Decision Support”
Kay Birdsell, khb@lanl.gov
• LANL Environmental Programs: Earth and Environmental Sciences
(EES) Point of Contact
David Broxton, broxton@lanl.gov
• LANL Environmental Programs: PI for “Geology and Geophysics”