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Peer-reviewedCC BYJournal of Hydrology: Regional Studies

A hydrological-year stratified regionalization framework for sediment rating curves in the largest tributary of the Mekong River

  • Nantawoot Inseeyong1
  • Pavisorn Chuenchum2
  • Mengzhen Xu3
  • Kwanchai Pakoksung4
  • Jeerapong Laonamsai5
5 affiliations
  1. 1Department of Water Resources Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand
  2. 2Department of Water Resources Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; Center of Excellence in Disaster and Risk Management Information System, Chulalongkorn University, Bangkok, 10300, Thailand; UNESCO Chair on Water, Disaster Management and Climate Change, Bangkok, 10300, Thailand
  3. 3State Key Laboratory of Hydroscience & Engineering, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Hydrosphere Sciences of the Ministry of Water Resources, Tsinghua University, Beijing, 100084, PR China; Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, PR China
  4. 4Civil Engineering Department, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand
  5. 5Department of Water Resources Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; Center of Excellence in Disaster and Risk Management Information System, Chulalongkorn University, Bangkok, 10300, Thailand; Corresponding author at: Department of Water Resources Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
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Abstract

Study region: The Mun River Basin in Thailand, the largest tributary of the Mekong River. Study focus: Sparse sediment monitoring limits reliable sediment-load estimation across the Mun River Basin. Sediment rating curves (SRCs) provide a practical means of estimating sediment loads from discharge, but conventional static SRCs do not adequately represent interannual variability in sediment–discharge relationships. This study develops an advanced SRC regionalization framework that integrates hydrological-year stratification (flood, normal, and drought years) with regression-based and catchment-similarity approaches to improve estimation under limited sediment observations. New Hydrological Insights for the Region: Hydrological-year stratification showed that SRC parameters vary among flood, normal, and drought conditions. Classification using station-specific 2-year and 10-year return-period peak-flow thresholds separates contrasting hydrological regimes and indicates that interannual flow variability exerts a stronger influence on sediment-response behavior than basin-wide land-use change. Regionalization suitability also depends on catchment characteristics. Regression is more appropriate for gentler catchments with S c < 6.0% and K USLE x C USLE > 0.05, where sediment response is governed mainly by integrated basin-scale attributes. Catchment similarity is more suitable for steeper catchments with S c > 6.0% and K USLE x C USLE < 0.05, where sediment generation and delivery are more spatially heterogeneous. These findings show that both hydrological regime and catchment physiography should be considered when regionalizing sediment–discharge relationships in the Mun River Basin.

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Cite

BibTeXRIS
BibTeX
@article{inseeyong2026hydrologicalyear,
  title = {{A hydrological-year stratified regionalization framework for sediment rating curves in the largest tributary of the Mekong River}},
  author = {Nantawoot Inseeyong and Pavisorn Chuenchum and Mengzhen Xu and Kwanchai Pakoksung and Jeerapong Laonamsai},
  journal = {Journal of Hydrology: Regional Studies},
  year = {2026},
  month = oct,
  doi = {10.1016/j.ejrh.2026.104132},
  url = {https://doi.org/10.1016/j.ejrh.2026.104132},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A hydrological-year stratified regionalization framework for sediment rating curves in the largest tributary of the Mekong River
AU  - Nantawoot Inseeyong
AU  - Pavisorn Chuenchum
AU  - Mengzhen Xu
AU  - Kwanchai Pakoksung
AU  - Jeerapong Laonamsai
PY  - 2026
DA  - 2026/10/30
JO  - Journal of Hydrology: Regional Studies
DO  - 10.1016/j.ejrh.2026.104132
UR  - https://doi.org/10.1016/j.ejrh.2026.104132
AB  - Study region: The Mun River Basin in Thailand, the largest tributary of the Mekong River. Study focus: Sparse sediment monitoring limits reliable sediment-load estimation across the Mun River Basin. Sediment rating curves (SRCs) provide a practical means of estimating sediment loads from discharge, but conventional static SRCs do not adequately represent interannual variability in sediment–discharge relationships. This study develops an advanced SRC regionalization framework that integrates hydrological-year stratification (flood, normal, and drought years) with regression-based and catchment-similarity approaches to improve estimation under limited sediment observations. New Hydrological Insights for the Region: Hydrological-year stratification showed that SRC parameters vary among flood, normal, and drought conditions. Classification using station-specific 2-year and 10-year return-period peak-flow thresholds separates contrasting hydrological regimes and indicates that interannual flow variability exerts a stronger influence on sediment-response behavior than basin-wide land-use change. Regionalization suitability also depends on catchment characteristics. Regression is more appropriate for gentler catchments with S c < 6.0% and K USLE x C USLE > 0.05, where sediment response is governed mainly by integrated basin-scale attributes. Catchment similarity is more suitable for steeper catchments with S c > 6.0% and K USLE x C USLE < 0.05, where sediment generation and delivery are more spatially heterogeneous. These findings show that both hydrological regime and catchment physiography should be considered when regionalizing sediment–discharge relationships in the Mun River Basin.
SN  - 2214-5818
ER  -