Dissertation Thesis IIT-BHU Collaborated

Hydrogeochemical Characterization and Assessment of Groundwater for Drinking and Irrigation Purposes in and around Delhi.

June 2024

In assisting my friend with his dissertation, Asad Ali ,"Hydrogeochemical Characterization and Assessment of Groundwater for Drinking and Irrigation Purposes in and around Delhi," I played a crucial role in the technical aspects of data analysis, leveraging Python for efficient processing, analysis, and visualization. My friend provided groundwater samples from various locations in West Delhi, and I developed Python scripts that could process these samples, taking in parameters like pH, electrical conductivity, and concentrations of ions such as calcium, magnesium, chloride, and bicarbonate.

Using libraries such as pandas for data manipulation, numpy for numerical computations, and matplotlib and seaborn for detailed visualizations, I ensured that each dataset was comprehensively analyzed. We conducted trend analysis, ionic balance calculations, and classifications based on water quality indices, which helped determine the suitability of the groundwater for drinking and irrigation. I implemented functions for calculating various indices.

Moreover, I created interactive visualizations and plotted spatial distributions of parameters across different locations, making it easier to interpret the spatial variability in groundwater quality. This approach not only streamlined the analysis process but also provided my friend with a robust, replicable codebase for future research, enhancing the reliability and depth of their dissertation’s findings. The project culminated with a clear depiction of groundwater quality trends in West Delhi, which are invaluable for both environmental research and practical applications.

• Thesis PDF