Mitigation effectiveness on groundwater-dependent ecosystems revealed by counterfactual AI

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Debaditya Chakraborty, Chetan Sharma, Hakan Basagaoglu, Icen yoosedoost, Debarati Chakraborty, F. Paul Bertetti, Ali Mirchi

Abstract

Overexploitation of groundwater threatens groundwater-bound aquatic and terrestrial biodiversity and ecosystem stability, underscoring the need to devise appropriate mitigation strategies. Yet, substantial scientific evidence that mitigation measures effectively protect groundwater ecosystems is presently nonexistent. We provide unique and compelling evidence, using counterfactual artificial intelligence and ground truth data, that mitigation measures can successfully sustain ecologically sensitive spring flows and ensure the sustainability of groundwater-bound threatened and endangered endemic species and consumptive groundwater uses under a changing climate.

DOI

https://doi.org/10.31223/X5NT0K

Subjects

Artificial Intelligence and Robotics, Environmental Engineering, Hydrology, Sustainability, Water Resource Management

Keywords

Groundwater Dependent Ecosystems, climate change, Mitigation and Adaptation, Sensitive Spring Flows, Counterfactual AI

Dates

Published: 2023-07-09 06:12

Last Updated: 2023-07-09 13:12

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that there are no competing interests.