Calculating the Sediment Flux in Hydrometric Data-Scarce Small Island Coastal Watersheds
The information of sediment flux (Qs) from hydrometric data-scarce small coastal watersheds is an important supplement for interpreting the sedimentary records of continental shelf sedimentary systems. This paper proposes a solution to estimate their values based upon the empirical formula of small and medium-sized coastal watersheds in adjacent regions, taking the 25 small rivers in Hainan Island as example. Three categories of methods were applied to calculate the Qs. The first category involves the direct application of global empirical formulas, while the second and third categories utilizes empirical formulas that have been calibrated with regional characteristic data. The Qs calculation accuracy the above methods was validated by the observed values of typical rivers. Key findings include: (1) The area values of watersheds extracted from SRTM (Shuttle Radar Topography Mission) data exhibit a high correlation with actual values, confirmed the reliability and applicability of SRTM data; (2) The Global equation significantly overestimates Qs for the validation rivers (average relative error of 18.73), while employing the pristine-modified and disturbed-modified equations effectively improves the calculation accuracy (average relative errors of 0.72 and 1.64, respectively); (3) By averaging the results of different models, the Qs for the major rivers in Hainan Island was calculated as 6.07 Mt/a before large-scale human activities and 4.56 Mt/a after. This study demonstrates that modification not only needs to be considered to adjust global empirical formulas but also to differentiate between the scenarios of before and after large-scale human activities in small coastal watersheds.
Authors
- Liping Huang (ORCID: https://orcid.org/0000-0001-7314-0379)
- Gaocong Li (ORCID: https://orcid.org/0000-0002-4881-4885)
- Changliang Tong
- Lianbing Deng (ORCID: https://orcid.org/0000-0001-8574-5471)
Institutions
- Guangzhou Marine Geological Survey (CN)
- South China Sea Institute Of Oceanology (CN)
- Guangdong Ocean University (CN)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3390/jmse13112039
- Primary Topic
- Geological formations and processes
- Type
- article
- Field-Weighted Citation Impact
- 0.00