Climate-Nutrient Interaction Modeling

This project analyzes how rainfall and streamflow affect nitrate concentrations in surface water using real environmental data.

Features

• Merge and clean daily data from three sources: rainfall, streamflow, and nitrate concentration
• Compute daily nitrate loads based on flow and concentration
• Perform correlation analysis and visualize relationships
• Export clean, publication-ready figures and correlation matrix
• Save results in Excel and PDF formats

File Structure

climate_nutrient_modeling/
├── assets/
│   ├── rainfall_daily.csv
│   ├── flowrate.csv
│   └── nitrate.csv
├── script.py                 # Main analysis script
├── correl_matrix.xlsx        # Excel export of correlation matrix
├── Initial_visualization.pdf
├── Nitrate_load.pdf
├── Nitrate_Vs_Rainfall.pdf
├── requirements.txt
└── README.md

How to Run

1. Clone the repository:

git clone https://github.com/your-username/climate-nutrient-modeling.git
cd climate-nutrient-modeling

2. Install dependencies:

pip install -r requirements.txt

3. Run the script:

python script.py

License

MIT License

Author

Piya Mohasin

Citation

Zhang Y. and Collins A. (2024). Processed high resolution rainfall, flow rate, sediment and nitrate concentration data [Data set]. Rothamsted Research. https://doi.org/10.23637/17dquvlt