A5035957908- Groundwater flow and contamination studies
- Microbial bioremediation and biosurfactants
- Groundwater and Isotope Geochemistry
- Toxic Organic Pollutants Impact
- Geophysical Methods and Applications
- Flood Risk Assessment and Management
- Enhanced Oil Recovery Techniques
- Advanced Data Processing Techniques
- CO2 Sequestration and Geologic Interactions
- Hydraulic flow and structures
- Arsenic contamination and mitigation
- Aquaculture disease management and microbiota
- Water Treatment and Disinfection
- Dam Engineering and Safety
- Gaussian Processes and Bayesian Inference
- Wastewater Treatment and Nitrogen Removal
- Geophysical and Geoelectrical Methods
- Domain Adaptation and Few-Shot Learning
- Electrical and Bioimpedance Tomography
- Bacteriophages and microbial interactions
- Hydrology and Watershed Management Studies
- Per- and polyfluoroalkyl substances research
- Environmental Justice and Health Disparities
- Diversity and Career in Medicine
- Odor and Emission Control Technologies
Texas A&M University
2006-2023
Texas A&M Health Science Center
2017-2021
Tufts University
2011-2018
Instituto Politécnico Nacional
2006-2016
Michigan State University
2013
Mitchell Institute
2006
We compare two models that have been used frequently for describing biodegradation during contaminant transport in groundwater. One is a “simple” model based upon macroscopic properties only, and the other “biofilm” accounts diffusion reaction biofilms. Although simple has frequently, its mathematical formulation appears inadequate to describe physics of process. Hence it unclear when should be considered valid, analyses predicated are called into question. resolve this issue by arguing...
Complex biases may inherently limit efforts to identify predictors of success in PhD programs. Nonetheless, undergraduate performance and experience captured by the student’s GPA hold predictive value about completing a PhD. However, once past that threshold, other factors be major determinants productivity during
Abstract Background Prenatal exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with adverse health effects in children. Valid assessment methods accurate spatial and temporal resolution across pregnancy a critical need for advancing environmental studies. Objective The objective of this study was quantify maternal PAH pregnant women residing McAllen, Texas where the prematurity rate childhood asthma prevalence rates are high. A secondary compare levels silicone wristbands...
This paper presents a new joint inversion approach to shape-based inverse problems. Given two sets of data from distinct physical models, the main objective is obtain unified characterization inclusions within spatial domain properties be reconstructed. Although our proposed method generally applies many types problems, motivation here characterize subsurface contaminant source zones by processing down-gradient hydrological and cross-gradient electrical resistance tomography observations....
Semi-arid regions with little surface water commonly experience rapid table decline rates. To hedge against the falling table, production wells in central Mexico are installed to depths of several hundred meters below present and constructed as open boreholes or perforated casings across their entire length. Such represent highly conductive pathways leading non-negligible flow chemically distinct layers an aquifer-a phenomenon known ambient flow. The objectives this study were estimate rate...
In recent decades, the Tulancingo municipality (Mexico), has been affected by numerous extreme weather phenomena that caused heavy flooding events with severe damage to property and people. Most of placed several dams under hydrologic risk. The hurricane ‘Dean’, in 2007, led overflow dam ‘La Esperanza’, generating inundations reached levels 1 m Tulancingo. Mexico does not have a specific regulation establishes critical thresholds for construction hazard maps. With aim provide tool...
In this paper, we develop machine learning approaches for estimating quantitative features (or metrics) characterizing subsurface zones of chemical contamination, focusing on problems involving dense nonaqueous-phase liquid (DNAPL). Source zone characterization, a necessary first step in the development remediation strategy, is challenging due to practical constraints associated with data available processing. Our methods focus use manifold regression techniques source metrics related...
In semiarid agricultural regions, aquifers have watered widespread economic development. Falling water tables, however, drive up energy costs and can make the toxic for human consumption. The study area is located in central Mexico, where arsenic fluoride are widely present at concentrations well water. We simulated holistic outcomes from three pumping scenarios over 100 years (2020-2120); (S1) rates increase a similar rate to past 40 years, (S2) remain constant, or (S3) decrease. Under...
Aim To quantify changes on RSV- associated hospitalizations during COVID-19 pandemic, among children four years of age or younger at the state and county levels Texas using routinely acquired hospital admission records. Methods We used Public Use Data Files (PUDF) Department State Human Services (DSHS) to obtain admissions healthcare outcomes from 2006 2021. 2006–2019 period estimate a long-term temporal trend predict expected values for 2020–2021. Actual predicted were in seasonal trends...
Integrons are genetic elements that store, express and exchange gene cassettes. These characterized by containing a codes for an integrase (intI), cassette integration site (attI) variable region holding the Using bioinformatics molecular biology methods, functional integron found in Aeromonas sp. 3925, strain isolated from diarrheal stools, is described. To confirm class, phylogenetic analysis with amino acid sequences was conducted. The associated to class 4 integrases; however, it clearly...
Characterization of sites contaminated by chemicals such as trichloroethylene, perchloroethylene, and other dense non-aqueous phase liquids (DNAPLs) is a necessary first step in the design implementation successful remediation strategies. In this paper, we develop machine learning-based approach for estimating characteristics source zone related to distribution contaminant mass highly saturated pool regions more diffuse ganglia based on observations down-gradient concentration images. After...
We applied a mathematical model to data from experimental column studies understand the dynamics of successful and unsuccessful reductive dechlorination chlorinated ethenes in groundwater under different flow conditions. In laboratory experiments (reported previously), it was observed that complete cis-dichloroethene ethene sustained at high velocity (0.51 m/d), but failed medium or low (0.080 0.036 m/d). The here accounts for transport flowing groundwater, mass transfer between mobile...
Accidental releases and improper disposal of hazardous chemicals has led to widespread chemical contamination subsurface soils water-bearing formations. Effective remediation restoration such contaminated sites is dependent upon knowledge the contaminant's mass distribution within aquifer. Recent research shown that estimation certain metrics which summarize contaminant in source-zone sufficient for designing effective strategies. In this work we explore task predicting a metric based...
Large-scale contamination of ground water due to improper disposal hazardous chemicals poses a global threat drinking supplies. Effective restoration and remediation such sites relies upon knowledge the contaminant's distribution within subsurface. Obtaining detailed map existing is usually not feasible; rather partial in terms certain metrics that characterize has recently been shown be sufficient for planning monitoring strategies. In this work we explore prediction representative metric...