Pritam Karmakar Rony

About Me

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.

Academic Background

Master of Science in Environmental Engineering

Texas A&M University - Kingsville Expected 2025 | Kingsville, Texas, USA

Bachelor of Science in Civil and Environmental Engineering

Shahjalal University of Science and Technology 2018 - 2023 | Sylhet, Bangladesh

Professional Journey

June 2024 - Present

Research Assistant

Texas A&M University - Kingsville Kingsville, Texas, USA
Dept. of Environmental Engineering
June 2023 - May 2024

Research Consultant

Center for Environmental and Geographic Information Services (CEGIS) Dhaka, Bangladesh
River, Delta and Coastal Morphology Division
April 2021 - May 2023

Research Assistant

Shahjalal University of Science and Technology Sylhet, Bangladesh
Dept. of Civil and Environmental Engineering
  • Developed 1D/2D models in HEC-RAS and 3D models in Delft3D
  • Performed hydrodynamic analysis and frequency studies
  • Assessed dredging impact on Surma River hydrodynamics

Current Research

Exploring the dynamic interplay between coastal ecosystems and anthropogenic influences through cutting-edge environmental analysis.

I am currently leading a comprehensive research project investigating seasonal and spatial variations in water and sediment quality in the Nueces/Corpus Christi Bay area, Texas. This ecologically significant coastal region faces increasing pressures from urban development, industrial activity, and climate change.

Research Objectives

  • ✓ To analyze water samples to evaluate nutrient concentrations, and their seasonal and spatial variability, providing insights into water quality around the Nueces/Corpus Christi Bay system.
  • ✓ To analyze the physical and chemical properties of sediment samples, including grain size, organic carbon, and nutrient concentrations, around the Nueces/Corpus Christi Bay system.
  • ✓ To detect and quantify the presence of heavy metals and pesticides in water and sediment samples, understand their spatial and seasonal variability.
  • ✓ To estimate the extent of pollutant loadings, including nutrients, sediments, heavy metals, and pesticides, around the Nueces/Corpus Christi Bay system.

Study Area

Study Area Map
Study area map showing sampling locations around the Nueces/Corpus Christi Bay

Methodology

Methodology

Study Area

The research focuses on five representative sites in the Nueces/Corpus Christi Bay system: Labonte Park (freshwater inflow), Nueces Bay (industrial/port area), Bock Park (tidal exchange zone), Sugar Tree Apartments (urban/WWTP effluent), and Ennis Joslin Road (urban–estuarine interface). These locations capture gradients of hydrological, anthropogenic, and ecological influence on water and sediment quality.

Sample Collection

  • Water samples: ~15 cm below surface using acid-washed HDPE bottles mounted on an extendable pole. Bottles pre-cleaned per EPA guidelines (10% HNO3 soak, DIW rinse) to avoid trace metal contamination (USEPA, 2002). Transferred to amber glass jars with Teflon®-lined caps, stored at ~4 °C on ice, analyzed within recommended holding times (Wilde et al., 2004).
  • Sediment samples: Collected with a stainless-steel scoop, air-dried, and stored in pre-cleaned amber jars. Tools and jars decontaminated before each use (Shelton & Capel, 1994).

Water Quality Analysis

  • Field parameters (pH, Temp, DO, TDS, Salinity, Conductivity): in situ with YSI ProDSS; calibrated before each survey (USGS, 2008).
  • Nutrients:
    • Ammonium: spectrophotometric (Nessler’s method) at 425 nm (Bartošová et al., 2013).
    • Nitrate, nitrite, phosphate: Ion Chromatography (Dionex ICS-5000), EPA Method 300.0 (USEPA, 2007).
  • Suspended Sediment Concentration (SSC): vacuum filtration through 0.40 µm filters, dried at 105 °C, gravimetric (APHA, 2017).
  • Heavy metals (water & suspended solids): acidify with HNO3 (<pH 2), digest (EPA 3052), quantify by ICP-MS (USEPA, 1994).
  • Flow/discharge: Acoustic Doppler Current Profiler (ADCP, 2000 kHz StreamPro), velocity–area discharge (Teledyne RD Instruments, 2017).

Sediment Analysis

  • Grain size distribution: mechanical sieving & hydrometer; ASTM D422 (ASTM, 2007).
  • Organic carbon: Loss-on-Ignition (LOI) at 550 °C for 4 h; ASTM D2974 (ASTM, 2014).
  • Nutrients in sediment:
    • Total phosphorus: molybdenum blue colorimetry, 880 nm (USEPA, 1993; de Morais et al., 2021).
    • Extractable nitrate/phosphate: 2 N KCl extraction + ion chromatography (USEPA, 1993).
  • Heavy metals: microwave digestion (Anton Paar Multiwave GO; HNO3/HCl/H2O2) followed by ICP-MS (EPA 3052; USEPA, 1996).
  • Pesticides: Solid Phase Microextraction (SPME) + Gas Chromatography (Shimadzu GC-2014AFSC) with thermal desorption (Flores et al., 2009; Camarena et al., 2016).

Data Analysis

  • Descriptive statistics: temporal & spatial variability in Excel and Python (Parmar & Bhardwaj, 2014).
  • Trend analysis: Mann–Kendall test for monotonic seasonal/long-term trends (Hirsch et al., 1982).
  • Comparisons: Two-way ANOVA for seasonal (wet vs. dry) and spatial (site-to-site) effects (Darji & Lodha, 2025).
  • Correlations: Pearson’s correlation among water–sediment parameters (pH, DO, nutrients, metals, organic C, particle size) to identify pollution drivers (Mohammed et al., 2022).

1

Labonte Park

Urban-adjacent freshwater site

2

Nueces Bay

Primary estuarine environment

3

Sgt. J.D. Bock Park

Recreational waterfront area

4

Sugar Tree Apartments

Residential runoff point

5

Ennis Joslin Road

Transportation corridor impact zone

Key Findings

Preliminary results reveal significant seasonal patterns:

Water Chemistry

  • pH and salinity levels peak during fall
  • Dynamic nutrient cycling patterns

Sediment Analysis

  • Particle size shifts seasonally
  • Organic carbon composition changes

Contaminant Trends

  • Elevated nitrate concentrations
  • Undetectable phosphate in November

Technical Skills

Hydrological Modeling

HEC-RAS, Delft3D, SWAT, MODFLOW

GIS & Spatial Analysis

ArcGIS, QGIS, Google Earth Engine

Data Analysis

Python, R, MATLAB, Machine Learning

Field Techniques

Water sampling, Sediment analysis

Laboratory Analysis

ICP-MS, Ion Chromatography

Technical Writing

Reports, Journal Articles, Proposals

Publications

Published

Assessment of Dredging Impact on Hydrodynamics of a Semi-Enclosed Estuarine System

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
In Preparation

Assessment of nutrient and heavy metal levels and distribution near the Nueces/Corpus Christi Bay

Manuscript in preparation for submission to a peer-reviewed journal
Karmakar Rony, P., 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.

In Preparation

Spatiotemporal variations of sediment loading and sizes and river channel dimensions and their implications

Manuscript in preparation for submission to a peer-reviewed journal
Garcia, V., Karmakar Rony, P., 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

Machine Learning Approaches for Water Quality Prediction in Estuarine Environments

In Preparation, 2024

Developing predictive models for water quality parameters using machine learning algorithms applied to long-term monitoring data from coastal ecosystems.

Water Quality Quiz Game

Test your knowledge about water quality with this short quiz.

Conference Presentations

2025
Upcoming

Assessment of Nutrient and Heavy Metal Levels and Distribution near the Nueces/Corpus Christi Bay

Karmakar Rony, P., Choi, J.-W., & Ren, J.
June 4, 2025 | Universities Council on Water Resources (UCOWR) Annual Conference | Graduate Hotel, University of Minnesota, Minneapolis, MN
2025
Upcoming

Spatiotemporal Variations of Sediment Loading and Sizes and River Channel Dimensions and Their Implications

Garcia, V., Karmakar Rony, P., Choi, J.-W., & Ren, J.
June 4, 2025 | Universities Council on Water Resources (UCOWR) Annual Conference | Graduate Hotel, University of Minnesota, Minneapolis, MN
Case Study Around the Nueces and Corpus Christi Bays, Texas
2023

Assessment of Dredging Impact on Hydrodynamics of Surma River using Mathematical Model

Pritam Karmakar Rony et al.
International Conference of Water and Flood Management, Dhaka

Contact Me

Get In Touch

Email: pritam8july@gmail.com, pritam.rony@students.tamuk.edu

Phone: +1-361-228-9976

Address: 727 W Ave D, Apt 17, Kingsville, TX 78363