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Ayman H Alzraiee, PhD (Former Employee)

Science and Products

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location map of the Yucaipa area in Southern California. Faults in the area are also displayed.

Yucaipa Subbasin Integrated Hydrologic Model

The USGS is developing a hydrologic model of the Yucaipa Subbasin to aid in evaluating and managing the groundwater resources in the area. The study results will provide a greater understanding of the geohydrology of the subbasin, and aid in the development of a groundwater-monitoring plan, as well as in the evaluation of potential hydrologic effects of future groundwater development and...
By
California Water Science Center
link

Yucaipa Subbasin Integrated Hydrologic Model

The USGS is developing a hydrologic model of the Yucaipa Subbasin to aid in evaluating and managing the groundwater resources in the area. The study results will provide a greater understanding of the geohydrology of the subbasin, and aid in the development of a groundwater-monitoring plan, as well as in the evaluation of potential hydrologic effects of future groundwater development and...
Learn More
link
Photo #9 of well site YVDA being drilled

Yucaipa Valley Hydrogeology

This study assesses the quality of water in the Yucaipa area, primarily in the Yucaipa plain. This hydrogeology study will aid local water purveyors in understanding and evaluating local resources and using those resources effectively in combination with water imported from northern California and from the adjacent San Bernardino area.
By
California Water Science Center
link

Yucaipa Valley Hydrogeology

This study assesses the quality of water in the Yucaipa area, primarily in the Yucaipa plain. This hydrogeology study will aid local water purveyors in understanding and evaluating local resources and using those resources effectively in combination with water imported from northern California and from the adjacent San Bernardino area.
Learn More

Russian River Integrated Hydrologic Model (RRIHM): Groundwater & Streamflow Observations

The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal...
By
California Water Science Center

Updating and recalibrating the integrated Santa Rosa Plain Hydrologic Model to assess stream depletion and to simulate future climate and management scenarios in Santa Rosa, Sonoma County, California

The Santa Rosa Plain Hydrologic Model (SRPHM) was developed and published in 2014 through a collaboration between the U.S. Geological Survey (USGS) and Sonoma Water to analyze the hydrologic system in the Santa Rosa Plain watershed, help meet the increasing demand for fresh water, and prepare for future uncertainties in water resources. The original model simulated hydrological...
Authors
Ayman H. Alzraiee, Andrew Rich, Linda R. Woolfenden, Derek W. Ryter, Enrique Triana, Richard G. Niswonger
By
California Water Science Center

Next generation public supply water withdrawal estimation for the conterminous United States using machine learning and operational frameworks

Estimation of human water withdrawals is more important now than ever due to uncertain water supplies, population growth, and climate change. Fourteen percent of the total water withdrawal in the United States is used for public supply, typically including deliveries to domestic, commercial, and occasionally including industrial, irrigation, and thermoelectric water withdrawal. Stewards...
Authors
Ayman H. Alzraiee, Richard G. Niswonger, Carol L. Luukkonen, Joshua Larsen, Donald Martin, Deidre Mary Herbert, Cheryl A. Buchwald, Cheryl A. Dieter, Lisa D. Miller, Jana S. Stewart, Natalie A. Houston, Scott Paulinski, Kristen J. Valseth
By
Water Resources Mission Area, California Water Science Center, Colorado Water Science Center, Upper Midwest Water Science Center, Oklahoma-Texas Water Science Center

A probabilistic approach to training machine learning models using noisy data

Machine learning (ML) models are increasingly popular in environmental and hydrologic modeling, but they typically contain uncertainties resulting from noisy data (erroneous or outlier data). This paper presents a novel probabilistic approach that combines ML and Markov Chain Monte Carlo simulation to (1) detect and underweight likely noisy data, (2) develop an approach capable of...
Authors
Ayman H. Alzraiee, Richard G. Niswonger
By
Water Resources Mission Area, California Water Science Center

Development and evaluation of public-supply community water service area boundaries for the conterminous United States

The water service area dataset, derived from the National Boundary Dataset for public-supply water systems in the United States, offers a detailed resolution surpassing county-level assessments, emphasizing water-centric land use. Crucial for linking populations and infrastructure to system withdrawals, it supports the creation of a national public-supply water-use model, enhancing...
Authors
Cheryl A. Buchwald, Natalie A. Houston, Jana S. Stewart, Ayman H. Alzraiee, Richard G. Niswonger, Joshua Larsen
By
Water Resources Mission Area, California Water Science Center, Oklahoma-Texas Water Science Center, Upper Midwest Water Science Center

Operationalizing crop model data assimilation for improved on-farm situational awareness

The ability of ‘digital agriculture’ to support on-farm decision making is predicated on the real-time combination of observations and prior knowledge into an integrated digital environment. The mathematical discipline that seeks to provide this integration is known as model data assimilation (DA), with demonstrated benefits including improved predictive reliability, and the capacity to...
Authors
Matthew Knowling, Jeremy T. White, Dylan Grigg, Cassandra Collins, Seth Westra, Rob R. Walker, Anne Pellegrino, Bertram Ostendorf, Bree Bennet, Ayman H. Alzraiee
By
Water Resources Mission Area, California Water Science Center

Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW

pyGSFLOW is a python package designed to create new GSFLOW integrated hydrologic models, read existing models, edit model input data, run GSFLOW models, process output, and visualize model data.
Authors
Joshua Larsen, Ayman H. Alzraiee, Richard G. Niswonger
By
Water Resources Mission Area, California Water Science Center

Yucaipa valley integrated hydrological model

IntroductionThe hydrologic system in the Yucaipa Valley watershed (YVW) was simulated using the coupled Groundwater and Surface-water FLOW model (GSFLOW; Markstrom and others, 2008). This study uses version 2.0 of GSFLOW, which is a combination of the Precipitation-Runoff Modeling System (PRMS; Markstrom and others, 2015), and the Newton-Raphson formulation of the Modular Groundwater...
Authors
Ayman H. Alzraiee, John A. Engott, Geoffrey Cromwell, Linda R. Woolfenden
By
Water Resources Mission Area, California Water Science Center

Hydrogeologic characterization of the Yucaipa groundwater subbasin

IntroductionWater management in the Santa Ana River watershed in San Bernardino and Riverside Counties in southern California (fig. A1) is complex with various water purveyors navigating geographic, geologic, hydrologic, and political challenges to provide a reliable water supply to stakeholders. As the population has increased throughout southern California, so has the demand for water...
Authors
Geoffrey Cromwell, John A. Engott, Ayman H. Alzraiee, Christina Stamos-Pfeiffer, Gregory Mendez, Meghan C. Dick, Sandra Bond
By
Water Resources Mission Area, California Water Science Center

Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California

Executive SummaryWater management in the Santa Ana River watershed in San Bernardino and Riverside Counties in southern California is a complex task with various water purveyors navigating geographic, geologic, hydrologic, and political challenges to provide a reliable water supply to stakeholders. As the population has increased throughout southern California, so has the demand for...
By
Water Resources Mission Area, California Water Science Center

A scalable model-independent iterative data assimilation tool for sequential and batch estimation of high dimensional model parameters and states

Ensemble-based data assimilation (DA) methods have displayed strong potential to improve model state and parameter estimation across several disciplines due to their computational efficiency, scalability, and ability to estimate uncertainty in the dynamic states and the parameters. However, a barrier to adoption of ensemble DA methods remains. Namely, there is currently a lack of...
Authors
Ayman H. Alzraiee, Jeremy T. White, Matthew Knowling, Randall Hunt, Michael N. Fienen
By
Water Resources Mission Area, California Water Science Center

Non-USGS Publications**

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Science and Products

link
location map of the Yucaipa area in Southern California. Faults in the area are also displayed.

Yucaipa Subbasin Integrated Hydrologic Model

The USGS is developing a hydrologic model of the Yucaipa Subbasin to aid in evaluating and managing the groundwater resources in the area. The study results will provide a greater understanding of the geohydrology of the subbasin, and aid in the development of a groundwater-monitoring plan, as well as in the evaluation of potential hydrologic effects of future groundwater development and...
By
California Water Science Center
link

Yucaipa Subbasin Integrated Hydrologic Model

The USGS is developing a hydrologic model of the Yucaipa Subbasin to aid in evaluating and managing the groundwater resources in the area. The study results will provide a greater understanding of the geohydrology of the subbasin, and aid in the development of a groundwater-monitoring plan, as well as in the evaluation of potential hydrologic effects of future groundwater development and...
Learn More
link
Photo #9 of well site YVDA being drilled

Yucaipa Valley Hydrogeology

This study assesses the quality of water in the Yucaipa area, primarily in the Yucaipa plain. This hydrogeology study will aid local water purveyors in understanding and evaluating local resources and using those resources effectively in combination with water imported from northern California and from the adjacent San Bernardino area.
By
California Water Science Center
link

Yucaipa Valley Hydrogeology

This study assesses the quality of water in the Yucaipa area, primarily in the Yucaipa plain. This hydrogeology study will aid local water purveyors in understanding and evaluating local resources and using those resources effectively in combination with water imported from northern California and from the adjacent San Bernardino area.
Learn More

Russian River Integrated Hydrologic Model (RRIHM): Groundwater & Streamflow Observations

The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal...
By
California Water Science Center

Updating and recalibrating the integrated Santa Rosa Plain Hydrologic Model to assess stream depletion and to simulate future climate and management scenarios in Santa Rosa, Sonoma County, California

The Santa Rosa Plain Hydrologic Model (SRPHM) was developed and published in 2014 through a collaboration between the U.S. Geological Survey (USGS) and Sonoma Water to analyze the hydrologic system in the Santa Rosa Plain watershed, help meet the increasing demand for fresh water, and prepare for future uncertainties in water resources. The original model simulated hydrological...
Authors
Ayman H. Alzraiee, Andrew Rich, Linda R. Woolfenden, Derek W. Ryter, Enrique Triana, Richard G. Niswonger
By
California Water Science Center

Next generation public supply water withdrawal estimation for the conterminous United States using machine learning and operational frameworks

Estimation of human water withdrawals is more important now than ever due to uncertain water supplies, population growth, and climate change. Fourteen percent of the total water withdrawal in the United States is used for public supply, typically including deliveries to domestic, commercial, and occasionally including industrial, irrigation, and thermoelectric water withdrawal. Stewards...
Authors
Ayman H. Alzraiee, Richard G. Niswonger, Carol L. Luukkonen, Joshua Larsen, Donald Martin, Deidre Mary Herbert, Cheryl A. Buchwald, Cheryl A. Dieter, Lisa D. Miller, Jana S. Stewart, Natalie A. Houston, Scott Paulinski, Kristen J. Valseth
By
Water Resources Mission Area, California Water Science Center, Colorado Water Science Center, Upper Midwest Water Science Center, Oklahoma-Texas Water Science Center

A probabilistic approach to training machine learning models using noisy data

Machine learning (ML) models are increasingly popular in environmental and hydrologic modeling, but they typically contain uncertainties resulting from noisy data (erroneous or outlier data). This paper presents a novel probabilistic approach that combines ML and Markov Chain Monte Carlo simulation to (1) detect and underweight likely noisy data, (2) develop an approach capable of...
Authors
Ayman H. Alzraiee, Richard G. Niswonger
By
Water Resources Mission Area, California Water Science Center

Development and evaluation of public-supply community water service area boundaries for the conterminous United States

The water service area dataset, derived from the National Boundary Dataset for public-supply water systems in the United States, offers a detailed resolution surpassing county-level assessments, emphasizing water-centric land use. Crucial for linking populations and infrastructure to system withdrawals, it supports the creation of a national public-supply water-use model, enhancing...
Authors
Cheryl A. Buchwald, Natalie A. Houston, Jana S. Stewart, Ayman H. Alzraiee, Richard G. Niswonger, Joshua Larsen
By
Water Resources Mission Area, California Water Science Center, Oklahoma-Texas Water Science Center, Upper Midwest Water Science Center

Operationalizing crop model data assimilation for improved on-farm situational awareness

The ability of ‘digital agriculture’ to support on-farm decision making is predicated on the real-time combination of observations and prior knowledge into an integrated digital environment. The mathematical discipline that seeks to provide this integration is known as model data assimilation (DA), with demonstrated benefits including improved predictive reliability, and the capacity to...
Authors
Matthew Knowling, Jeremy T. White, Dylan Grigg, Cassandra Collins, Seth Westra, Rob R. Walker, Anne Pellegrino, Bertram Ostendorf, Bree Bennet, Ayman H. Alzraiee
By
Water Resources Mission Area, California Water Science Center

Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW

pyGSFLOW is a python package designed to create new GSFLOW integrated hydrologic models, read existing models, edit model input data, run GSFLOW models, process output, and visualize model data.
Authors
Joshua Larsen, Ayman H. Alzraiee, Richard G. Niswonger
By
Water Resources Mission Area, California Water Science Center

Yucaipa valley integrated hydrological model

IntroductionThe hydrologic system in the Yucaipa Valley watershed (YVW) was simulated using the coupled Groundwater and Surface-water FLOW model (GSFLOW; Markstrom and others, 2008). This study uses version 2.0 of GSFLOW, which is a combination of the Precipitation-Runoff Modeling System (PRMS; Markstrom and others, 2015), and the Newton-Raphson formulation of the Modular Groundwater...
Authors
Ayman H. Alzraiee, John A. Engott, Geoffrey Cromwell, Linda R. Woolfenden
By
Water Resources Mission Area, California Water Science Center

Hydrogeologic characterization of the Yucaipa groundwater subbasin

IntroductionWater management in the Santa Ana River watershed in San Bernardino and Riverside Counties in southern California (fig. A1) is complex with various water purveyors navigating geographic, geologic, hydrologic, and political challenges to provide a reliable water supply to stakeholders. As the population has increased throughout southern California, so has the demand for water...
Authors
Geoffrey Cromwell, John A. Engott, Ayman H. Alzraiee, Christina Stamos-Pfeiffer, Gregory Mendez, Meghan C. Dick, Sandra Bond
By
Water Resources Mission Area, California Water Science Center

Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California

Executive SummaryWater management in the Santa Ana River watershed in San Bernardino and Riverside Counties in southern California is a complex task with various water purveyors navigating geographic, geologic, hydrologic, and political challenges to provide a reliable water supply to stakeholders. As the population has increased throughout southern California, so has the demand for...
By
Water Resources Mission Area, California Water Science Center

A scalable model-independent iterative data assimilation tool for sequential and batch estimation of high dimensional model parameters and states

Ensemble-based data assimilation (DA) methods have displayed strong potential to improve model state and parameter estimation across several disciplines due to their computational efficiency, scalability, and ability to estimate uncertainty in the dynamic states and the parameters. However, a barrier to adoption of ensemble DA methods remains. Namely, there is currently a lack of...
Authors
Ayman H. Alzraiee, Jeremy T. White, Matthew Knowling, Randall Hunt, Michael N. Fienen
By
Water Resources Mission Area, California Water Science Center

Non-USGS Publications**

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

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