I'm Pritam Karmakar Rony, a Civil & Environmental Engineer and Researcher specializing in water quality and resource modeling. Currently pursuing my MS at Texas A&M University–Kingsville, I combine engineering expertise with advanced computational tools to address critical environmental challenges.
I bring hands-on experience in hydrodynamic and water quality modeling using tools such as Delft3D, HEC-RAS, and ArcGIS Pro.
My laboratory expertise includes nutrient and heavy metal analysis in water, sediment, and soil using techniques such as ICP-MS, spectrophotometry, ion chromatography, particle size distribution, and sediment characterization. With research experience in both the U.S. and Bangladesh, I have contributed to publications, international conferences, and NSF NRT-TREAWS projects
With a passion for environmental stewardship, I aim to bridge the gap between scientific research and practical engineering applications to create resilient water systems.
Exploring the dynamic interplay between coastal ecosystems and anthropogenic influences through cutting-edge environmental analysis.
HEC-RAS, Delft3D, SWAT, MODFLOW
ArcGIS, QGIS, Google Earth Engine
Python, R, MATLAB, Machine Learning
Water sampling, Sediment analysis
ICP-MS, Ion Chromatography
Reports, Journal Articles, Proposals
Water Practice & Technology, IWA Publishing, 2023
This study evaluates the hydrodynamic changes in the Karnaphuli River estuary due to dredging activities using Delft3D modeling framework.
View Publication
Manuscript in preparation for submission to a peer-reviewed journal
, Choi, J.-W., & Ren, J.
Comprehensive analysis of seasonal nutrient cycles and heavy metal distributions in the Nueces/Corpus Christi Bay ecosystem, identifying key pollution sources and spatial patterns.
Manuscript in preparation for submission to a peer-reviewed journal
Garcia, V., , Choi, J.-W., & Ren, J.
Case study around the Nueces and Corpus Christi Bays, Texas examining sediment transport dynamics and their relationship with changing river channel morphology.
In Preparation, 2024
Developing predictive models for water quality parameters using machine learning algorithms applied to long-term monitoring data from coastal ecosystems.
Test your knowledge about water quality with this short quiz.
Collecting water samples from Nueces Bay
Conducting water quality tests in the laboratory
Recording environmental parameters in the field
Preparing sensors for continuous monitoring
Working with research colleagues in the field
Port of Corpus Christi
Visualizing simulated contaminant transport in the bay
Educating locals about sustainable water practices
Overview of instruments used for water quality monitoring
Email: pritam8july@gmail.com, pritam.rony@students.tamuk.edu
Phone: +1-361-228-9976
Address: 727 W Ave D, Apt 17, Kingsville, TX 78363