Version 1
: Received: 29 March 2024 / Approved: 29 March 2024 / Online: 29 March 2024 (10:26:28 CET)
How to cite:
Chomcheawchan, P.; Pawana, V.; Julphunthong, P.; Kamdee, K.; Laonamsai, J. Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis. Preprints2024, 2024031843. https://doi.org/10.20944/preprints202403.1843.v1
Chomcheawchan, P.; Pawana, V.; Julphunthong, P.; Kamdee, K.; Laonamsai, J. Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis. Preprints 2024, 2024031843. https://doi.org/10.20944/preprints202403.1843.v1
Chomcheawchan, P.; Pawana, V.; Julphunthong, P.; Kamdee, K.; Laonamsai, J. Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis. Preprints2024, 2024031843. https://doi.org/10.20944/preprints202403.1843.v1
APA Style
Chomcheawchan, P., Pawana, V., Julphunthong, P., Kamdee, K., & Laonamsai, J. (2024). Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis. Preprints. https://doi.org/10.20944/preprints202403.1843.v1
Chicago/Turabian Style
Chomcheawchan, P., Kiattipong Kamdee and Jeerapong Laonamsai. 2024 "Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis" Preprints. https://doi.org/10.20944/preprints202403.1843.v1
Abstract
This study innovatively assesses the Mun River flow components in Thailand, integrating Artificial Neural Networks (ANN) and Isotopic (18O) End-Member Mixing Analysis (IEMMA). It quantifies the contributions of the Upper Mun River (UMR) and Chi River (CR) to the overall flow, revealing a discrepancy in their estimated contributions. ANN predicts the UMR and CR contribute approximately 70.1% and 29.5% respectively, while IEMMA indicates a more pronounced disparity with 84% from UMR and 16% from CR. This divergence highlights the distinct perspectives of ANN, focusing on hydrological data patterns, and IEMMA, emphasizing isotopic signatures. Despite discrepancies, both methods validate UMR as a significant contributor to the overall flow, highlighting their utility in hydrological research. The findings underscore the complexity of river systems and advocate for an integrated approach of river flow analysis for a comprehensive understanding, crucial for effective water resource management and planning.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
