Portfolio

To be a prospect in the research sector that will utilize my education, training, professional experience, and creativity, challenge my abilities, and enhance my knowledge.

Selected Project Highlights

Feasibility Study of Flood-MAR Oppotunity in South Texas

Probable Storage

3D Lithology Model

Ongoing Project. Details of the project results will be published soon.

MODFLOW-USG Transport Model in Arroyo Colorado Watershed, South Texas

Developing a groundwater model to see the effect of implemention Flood-MAR opportunity in South Texas

Ongoing Project. Details of the project results will be published soon.

Identification and Revitalization of Water Sources for Sustainable Water Resources Management of Chittagong Hill Tracts

Recharge Area Delineation in one of the 6 pilot Springs

Highlights

This Study was conducted in the Chillagong hilly region of Bangladesh. It has different diversified natural water sources, that also includes unique natural Springs. But unfortunately, these springs are becoming perennial to seasonal day by day and some are drying out and becoming dead. Moreover, the count and status of the natural water sources are not well documented in this region.
For documenting all the natural water sources and increasing the longevity of existing spring flow, the study is divided into two parts: One, an Inventory survey has been carried out for the entire CHT to document all the natural water sources along with its other detailed status. This will not only facilitate future initiatives in the spring-dependent area but also formulate measures to revive the springs in the CHTs.
In parallel, a pilot initiative has also been taken to revitalize selected six (6) springs. For the revitalization step, the spring recharge area is being delineated using a combination of hydrogeological field investigation and Geographic Information System (GIS) based AHP Overlay Modelling. All the possible influential factors that affect the recharge rate in the hilly region have been considered as input data to make the GIS-based model for identifying the recharge area.

Newsletter Link (Page 4)

Total number of occurrences for each type of hydroclimatic extreme for the 1904- 2022 study period.

Evaluating Annual Precipitation Extremes in the U.S. Great Plains using PRISM Data*

Highlights

We identify three types of hydroclimatic extremes at the annual scale: recurring compound extremes (i.e., consecutive years with extreme wet or dry conditions), whiplash compound extremes (i.e., year-to-year swings from extreme wet to dry conditions, or vice versa), and isolated extremes (extreme wet or dry conditions which are not part of either type of compound extremes) were analyzed across this region.
Analysis of average annual precipitation reveals significant increasing trends over much of the eastern and northern USGP.
Dry-to-dry recurring extremes are most prevalent in South Dakota and the Kansas-Colorado-Texas-Oklahoma border region, while wet-to-wet recurring extremes are most common in Minnesota, Iowa, Nebraska, and the North Dakota-South Dakota border region.
These findings have significant implications for water resource management and agricultural systems in the US Great Plains, highlighting the need for adaptive strategies to address changing hydroclimatic conditions.

*Internship work.

KGS Open-file Report: https://www.kgs.ku.edu/Publications/OFR/2025/OFR2025-1.pdf

Impact of Surface Soil Hydrological Property Changes on Runoff Simulations Using HYDRUS

Highlights

Due to soil degradation and a decrease in hydraulic conductivity, the infiltration capacity of the soil decreases, leading to increased runoff, which contributes to flash floods and reduced groundwater recharge.

HYDRUS Inverse Modeling using Lab Experiental Data

Highlights

Lab experiments to measure adsorption capacity are laborious and time-sensitive. This study utilized an inverse modeling approach in HYDRUS, which optimized the estimation of adsorption capacity in a shorter time with fewer resources.

Publication: Preota, S. A., Cheng, C.-L., Hwangbo, M., & Kim, J. (2025). Optimized Filtrations for Stormwater Quality Improvement by Porous Media–Biochar Applications: Column Experiments and Inverse Modeling. Water, 17(9), 1372. https://doi.org/10.3390/w17091372

Seasonal Variation in Groundwater Arsenic Distribution in Southern Bangladesh

Topographic/Geological Map of Bangladesh

Analysis using RStudio

My Work Space

Catchment Delineation using

Soil & Water Assessment Tool (SWAT)

Suitability of MAR in Barind Tracts, Bangladesh

Contributed to Development of a Storm Surge Model on the Bay of Bengal (Bangladesh): Assessing Climate Impact on Bhasan Char

Highlights

Bhasan Char is a small island in the Bay of Bengal, designated as a refuge camp for Rohingya refugees from Myanmar. This study contributed to the development of a storm surge model, helping to assess the impact of changing climate conditions on storm surge height and its potential effects on the island. The findings provide critical insights for disaster risk management and coastal resilience planning.

Lab Skills/Field:

HYPROP2, HACH DR3900 Spectrophotometer, Water multiparameter probes, Groundwater sampling, GPS, Clinometer, Geological mapping, Sedimentary Petrology, Petrographic thin section, Paleontology & Micropaleontology, Engineering Geology, Subsurface Geology, Geophysics.

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