Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Estimation of the E/I ratio in Aquatic Systems: A Bayesian Approach in the Craig-Gordon Model

Version 1 : Received: 25 October 2023 / Approved: 25 October 2023 / Online: 26 October 2023 (03:34:27 CEST)

How to cite: Nara, S.N.V.; Ghosh, P.; Muddu, S.; Deshpande, R. Estimation of the E/I ratio in Aquatic Systems: A Bayesian Approach in the Craig-Gordon Model. Preprints 2023, 2023101677. https://doi.org/10.20944/preprints202310.1677.v1 Nara, S.N.V.; Ghosh, P.; Muddu, S.; Deshpande, R. Estimation of the E/I ratio in Aquatic Systems: A Bayesian Approach in the Craig-Gordon Model. Preprints 2023, 2023101677. https://doi.org/10.20944/preprints202310.1677.v1

Abstract

Understanding surface water evaporation in tropical catchments is pivotal for effective water management, but limited research exists on stable isotopic (δ2H and δ18O) assessment of water evaporation losses. Our study bridges that gap, examining stable isotopes in meteoric water and surface waters across tropical regions, both humid and semi-arid. Using the Craig-Gordon model, we calibrated evaporation-to-inflow (E/I) ratios, identifying distinct E/I variations between seasons and regions. Notably, the semi-arid region consistently exhibited higher E/I ratios due to climatic characteristics. By integrating the Hamiltonian Monte Carlo and the No-U-Turn Sampler, we were able to quantify uncertainties in isotopic and meteorological parameters, resulting in E/I estimates within 68% and 95% confidence intervals. Our Bayesian model insights are critical for freshwater resource optimization and hydrological modeling in tropical regions.

Keywords

Stable water isotopes; Craig-Gordon model; Surface water evaporation; E/I ratio; Bayesian framework; Tropical catchment

Subject

Environmental and Earth Sciences, Other

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