A5060767149- Groundwater flow and contamination studies
- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Groundwater and Isotope Geochemistry
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Dam Engineering and Safety
- Water Quality and Resources Studies
- Geophysics and Gravity Measurements
- Seismic Imaging and Inversion Techniques
- Soil Geostatistics and Mapping
- Hydrocarbon exploration and reservoir analysis
- Groundwater and Watershed Analysis
- Geological formations and processes
- Geochemistry and Geologic Mapping
- Hydrological Forecasting Using AI
- Advanced Data Processing Techniques
- Geological Modeling and Analysis
- Flood Risk Assessment and Management
- Drilling and Well Engineering
- Fault Detection and Control Systems
- Advanced Multi-Objective Optimization Algorithms
- Nuclear and radioactivity studies
- Remote Sensing in Agriculture
- Synthetic Aperture Radar (SAR) Applications and Techniques
InterScience (United States)
2021-2023
Desert Research Institute
2019-2021
Louisiana State University
2014-2017
Interferometric synthetic aperture radar (InSAR), one of the most commonly used remote sensing methods for observing and monitoring land subsidence, has been applied in Hanoi, Vietnam several studies with results showing deformation up to 2014. However, freely accessible Sentinel-1 InSAR data have not investigated thoroughly date. Here, we investigate recent surface Hanoi period 2016−2020 using Sentinel-1A SAR data. The analysis is conducted on 114 scenes both Persistent Scatterer (PSInSAR)...
Challenges exist in managing groundwater resources because of spatiotemporally variable pumping activities as well complex subsurface hydrogeology. In addition, excessive water exploitation induces an imbalance among multistakeholder benefits. this study, a nonlinear high-order multiobjective optimization model was constructed to derive optimal freshwater strategies and explore the optimality through regulation locations. Three objectives concerning supply, energy cost, environmental...
This study investigates the performance of covariance matrix adaptation-evolution strategy (CMA-ES), a stochastic optimization method, in solving groundwater inverse problems. The objectives are to evaluate computational efficiency parallel CMA-ES and investigate use empirically estimated quantifying model prediction uncertainty due parameter estimation uncertainty. First, scaling with increasing number processors up certain limit is discussed for synthetic real-world Second, through...
Abstract This study expands the Box‐Hill discrimination function to design an optimal observation network discriminate conceptual models and, in turn, identify a most favored model. The measures expected decrease Shannon entropy (for model identification) before and after for one additional observation. modifies account multiple future observations that are assumed spatiotemporally independent Gaussian‐distributed. Bayesian averaging (BMA) is used incorporate existing data quantify...
AbstractGroundwater is an important water resource in many coastal areas around the world. Excessive pumping can change flow pattern so that seawater may migrate into freshwater aquifer. In addition, rise of sea level due to climate could accelerate landward intrusion seawater. This study addresses problem variable-density groundwater and miscible salt transport assess potential aquifers. Our conceptual model considers a complete hydrogeologic system including river system, seasonal...
Abstract The groundwater community has widely recognized geological structure uncertainty as a major source of model uncertainty. Previous studies in aquifer remediation design, however, rarely discuss the impact This study combines chance‐constrained ( CC ) programming with Bayesian averaging BMA BMA‐CC framework to assess design. To pursue this goal, method is compared traditional that only considers parameter employed design hydraulic barrier protect public supply wells Government St....
Abstract Groundwater is a critical component of water resources and has become the primary supply for agricultural domestic uses in Vietnamese Mekong Delta (VMD). Widespread groundwater level declines have occurred VMD over recent decades, reflecting that extraction rates exceed aquifer recharge region. However, impacts climate variability on system dynamics remain poorly understood. Here, we explore changes levels shallow deep aquifers from observed wells investigate their relations to...
Many models have been created for upscaled transport modeling in discrete fracture networks (DFNs). Random walk examples of these are the Markov directed random (MDRW), Monte Carlo solution Boltzmann equation (BTE), and spatial model (SMM). Each handles correlation between steps using different techniques has successfully reproduced results full-resolution simulations DFNs. However, their predictive capabilities under scenarios not compared. We construct a set 2D DFNs three transmissivity...
In discrete fracture network (DFN) modeling, fractures are randomly generated and placed in the model domain. The rock matrix is considered impermeable. Small isolated often ignored to reduce computational expense. As a result, between could be large intersections may not found well introduced hydraulically connected networks (fracture backbones). To overcome this issue, study developed method conceptualize three-dimensional (3D) DFN using two orthogonal rectangular oriented along well's...
First posted December 29, 2023 For additional information, contact: Director,Nevada Water Science CenterU.S. Geological Survey2730 N. Deer Run RoadCarson City, Nevada 89701 The Humboldt River Basin is the only river basin that contained entirely within State of Nevada. effect groundwater pumping on not well understood. Tools are needed to determine stream capture and manage in Basin. objective this study estimate storage change caused by withdrawals lower can provide Engineer with data...