Biography
Dr. Hosain is a Research Scientist at EnviTrace LLC specializing in earthquake seismology, induced seismicity, and environmental geophysics. His research integrates observational seismology, statistical analyses, and data-driven approaches to better understand subsurface processes, natural hazards, and sustainable energy systems. Prior to joining EnviTrace, Dr. Hosain conducted research at Los Alamos National Laboratory and Center for EarthquakeResearch and Information (CERI), where he investigated dynamic earthquake triggering and the role of fluids in earthquake nucleation. At EnviTrace, he applies advanced computational and AI-enabled approaches to subsurface characterization, environmental monitoring, and energy-related geoscience challenges.
Education
PhD in Geophysics
Specialties
- Earthquake Seismology
- Induced Seismicity
- Environmental Geophysics
- Dynamic Earthquake Triggering
- AI & Machine Learning Applications in Geoscience
- Subsurface Characterization
- Geothermal & Energy Geoscience
Publications
Count: 5
- Smartseis – a SITE Characterization TOOL for Geologic Carbon Storage (2024) — Ting Chen et al. — GSA Connects 2024 Meeting in Anaheim, California
- Dynamically Triggered Earthquakes and Their Relation to Fluid Injection in the Central United States (2023) — Alamgir Hosain et al. — GSA Connects 2023 Meeting in Pittsburgh, Pennsylvania
- Application of electrical resistivity to map the stratigraphy and salinity of fluvio-deltaic aquifers: case studies from Bangladesh that reveal benefits and pitfalls (2021) — Micaela N. Pedrazas et al. — Hydrogeology Journal
- The Impact of the Degree of Aquifer Confinement and Anisotropy on Tidal Pulse Propagation (2017) — Pin Shuai et al. — Groundwater
Abstract
Abstract Oceanic tidal fluctuations which propagate long distances up coastal rivers can be exploited to constrain hydraulic properties of riverbank aquifers. These estimates, however, may be sensitive to degree of aquifer confinement and aquifer anisotropy. We analyzed the hydraulic properties of a tidally influenced aquifer along the Meghna River in Bangladesh using: (1) slug tests combined with drilling logs and surface resistivity to estimate Transmissivity (T); (2) a pumping test to estimate T and Storativity (S) and thus Aquifer Diffusivity ( D PT ); and (3) the observed reduction in the amplitude and velocity of a tidal pulse to calculate D using the Jacob‐Ferris analytical solution. Average Hydraulic Conductivity (K) and T estimated with slug tests and borehole lithology were 27.3 m/d and 564 m 2 /d, respectively. Values of T and S determined from the pumping test ranged from 400 to 500 m 2 /d and 1 to 5 × 10 −4 , respectively with D PT ranging from 9 to 40 × 10 5 m 2 /d. In contrast, D estimated from the Jacob‐Ferris model ranged from 0.5 to 9 × 10 4 m 2 /d. We hypothesized this error resulted from deviations of the real aquifer conditions from those assumed by the Jacob‐Ferris model. Using a 2D numerical model tidal pulses were simulated across a range of conditions and D was calculated with the Jacob‐Ferris model. Moderately confined (K top /K aquifer < 0.01) or anisotropic aquifers (K x /K z > 10) yield D within a factor of 2 of the actual value. The order of magnitude difference in D between pumping test and Jacob‐Ferris model at our site argues for little confinement or anisotropy. - Estimating Hydraulic Properties of a River BANK Aquifer Under Tidal Influence (2016) — Pin Shuai et al. — GSA Annual Meeting in Denver, Colorado, USA - 2016