PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Monthly Hydraulic Geometry Relationship Quantification With Environmental LAI by Utilizing Sentinel Data: A Case in Jingjiang Reach of the Yangtze River
Version 1
: Received: 22 February 2024 / Approved: 22 February 2024 / Online: 22 February 2024 (07:54:34 CET)
How to cite:
Huang, H.; Song, X.; Xu, H.; Bai, Y. Monthly Hydraulic Geometry Relationship Quantification With Environmental LAI by Utilizing Sentinel Data: A Case in Jingjiang Reach of the Yangtze River. Preprints2024, 2024021274. https://doi.org/10.20944/preprints202402.1274.v1
Huang, H.; Song, X.; Xu, H.; Bai, Y. Monthly Hydraulic Geometry Relationship Quantification With Environmental LAI by Utilizing Sentinel Data: A Case in Jingjiang Reach of the Yangtze River. Preprints 2024, 2024021274. https://doi.org/10.20944/preprints202402.1274.v1
Huang, H.; Song, X.; Xu, H.; Bai, Y. Monthly Hydraulic Geometry Relationship Quantification With Environmental LAI by Utilizing Sentinel Data: A Case in Jingjiang Reach of the Yangtze River. Preprints2024, 2024021274. https://doi.org/10.20944/preprints202402.1274.v1
APA Style
Huang, H., Song, X., Xu, H., & Bai, Y. (2024). Monthly Hydraulic Geometry Relationship Quantification With Environmental LAI by Utilizing Sentinel Data: A Case in Jingjiang Reach of the Yangtze River. Preprints. https://doi.org/10.20944/preprints202402.1274.v1
Chicago/Turabian Style
Huang, H., Haijue Xu and Yuchuan Bai. 2024 "Monthly Hydraulic Geometry Relationship Quantification With Environmental LAI by Utilizing Sentinel Data: A Case in Jingjiang Reach of the Yangtze River" Preprints. https://doi.org/10.20944/preprints202402.1274.v1
Abstract
This study presents a novel approach for quantifying the dynamics of monthly hydraulic geometry relationships in the Jingjiang reach of the Yangtze River by integrating leaf area index (LAI) data as an indicator of riparian vegetation. A comprehensive system of ordinary differential equations (ODEs) couples traditional power-law hydraulic geometry equations with LAI, capturing the influence of erosion control on channel morphology. The periodic delayed response theory and automatic differentiation techniques are employed to enhance the modeling framework's capabilities. Calibration and verification demonstrate the models' effectiveness in capturing overall trends in discharge, width, and depth dynamics, outperforming traditional constant-parameter approaches. However, model predictive abilities are limited under extreme climate conditions due to training on normal climate data. Key assumptions, including the periodic delayed response theory's neglect of peak discharges, simplified representation of artificial cut-offs, and reliance on remotely sensed data with limited local validation, introduce uncertainties. The proposed modeling framework shows potential for broader application to other river systems with appropriate adjustments. Future research could incorporate additional environmental factors, integrate models across scales, couple with advanced simulation techniques, and expand stability assessments beyond the riverbed index. By addressing related challenges, this integrated approach lays a foundation for enhancing understanding of river morphodynamics and channel stability.
Keywords
Hydraulic geometry relationship; Leaf area index; Ordinary differential equations; Channel stability; Jingjiang reach of the Yangtze River
Subject
Environmental and Earth Sciences, Water Science and Technology
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.
