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Debaditya Chakraborty

Abstract (from Water): This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable Artificial Intelligence (XAI) models for data imputations and numerical or categorical hydroclimatic predictions from nonlinearly combined multidimensional predictors. The AI models considered in this paper involve Extreme Gradient Boosting, Light Gradient Boosting, Categorical Boosting, Extremely Randomized Trees, and Random Forest. These AI models can transform into XAI models when they are coupled with the explanatory methods such as the Shapley additive explanations and local interpretable model-agnostic explanations. The review highlights that the IAI models are capable of unveiling the rationale...
Categories: Publication; Types: Citation
Trustworthy projections of hydrological droughts are pivotal for identifying the key hydroclimatic factors that affect future groundwater level (GWL) fluctuations in drought-prone karstic aquifers that provide water for human consumption and sustainable ecosystems. Herein, we introduce an explainable artificial intelligence (XAI) framework integrated with scenario-based downscaled climate projections from global circulation models. We use the integrated framework to investigate nonlinear hydroclimatic dependencies and interactions behind future hydrological droughts in the Edwards Aquifer Region, an ecologically fragile groundwater-dependent semi-arid region in southern United States. We project GWLs under different...
Categories: Publication; Types: Citation
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Assessing Future Climate Impacts on Threatened and Endangered Groundwater Dependent Species in the Edwards Aquifer Region Using a Novel Hybrid Artificial Intelligence Framework
The Edwards Aquifer in south-central Texas provides water resources to more than 2 million people and is home to eight federally listed threatened and endangered species that are dependent on spring flow from the aquifer for survival. Recent results from global climate models indicate that over the next several decades increases in annual average temperatures and evapotranspiration are likely in this semi-arid region. Decision makers and water resource planners need to have a robust scientific understanding of the impacts of future climate conditions on the Edwards Aquifer system to assess future management strategies needed to maintain water availability and ensure adequate spring flow for protected species....
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