🚨 New Publication Alert! PyCHAMP: A crop-hydrological-agent modeling platform for groundwater management.

Effective groundwater management is crucial for sustainable agriculture. But what if we could model the complex interactions between human behaviors and natural systems to better inform policy decisions?

We’re excited to introduce PyCHAMP, a Python-based open-source platform designed to help you do just that! PyCHAMP is built for simulating agro-hydrological systems, capturing the dynamic feedback between farmers’ decisions and groundwater levels. Whether you’re a researcher or policymaker, this tool can provide valuable insights to guide sustainable practices.

Why does this matter? With increasing pressure on water resources from climate change and population growth, understanding and managing these human-water systems is more critical than ever. PyCHAMP allows for the simulation of real-world scenarios, helping to create more informed and effective groundwater management strategies.

In our case study of the Sheridan 6 Local Enhanced Management Area, PyCHAMP accurately modeled human-water interactions, revealing that farmer behavior often drives outcomes more significantly than environmental factors.

If you’re involved in water management, research, or policy, PyCHAMP could be key to advancing your work by combining environmental and socio-economic modeling.

🔗 Learn more about the publication: https://authors.elsevier.com/a/1jba64sKhEd5Uo 🔗 Explore PyCHAMP on GitHub: https://github.com/philip928lin/PyCHAMP

Lin, C.-Y., Orduna Alegria, M. E., Dhakal, S., Zipper, S., & Marston, L. (2024). PyCHAMP: A crop-hydrological-agent modeling platform for groundwater management. Environmental Modelling & Software, 181, 106187. https://doi.org/10.1016/j.envsoft.2024.106187