Author
Listed:
- Pee Poatprommanee
(Department of Geological Sciences, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand)
- Supanut Suntikoon
(Ph.D. Program in Environmental Science (CMU Presidential Scholarship), Environmental Science Research Center (ESRC), Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand)
- Morrakot Khebchareon
(Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand)
- Schradh Saenton
(Department of Geological Sciences, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
Environmental Science Research Center (ESRC), Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand)
Abstract
The Mun River Basin, the largest Mekong tributary in Northeast Thailand, has experienced extensive agricultural expansion and forest decline, raising concerns over increasing soil erosion and sediment transfer. This study provides an integrated assessment of soil loss, sediment yield ( SY ), and sediment delivery ratio ( SDR ) across 19 sub-watersheds using the Universal Soil Loss Equation (USLE), field-based SY data, and multivariate statistical analyses in 2024. Basinwide soil loss was estimated at ~35 million t y −1 (mean 4.96 t ha −1 y −1 ), with more than 80% of the basin classified in the no erosion to very low erosion classes. Despite substantial hillslope erosion, only 402,405 t y −1 of sediment reaches the river network, corresponding to a low SDR of 1.15%, which falls within the range reported for large tropical watersheds with significant reservoir infrastructure. Soil loss is most strongly influenced by slope and forested terrain, while SY responds primarily to rainfall and tree plantations; urban land, croplands, and reservoirs act as sediment sinks. Principal Component Analysis (PCA) resolved multicollinearity and produced six components explaining over 90% of predictor variance. A PCA-based regression model predicted SY per unit area with high accuracy ( r = 0.81). The results highlight the dominant roles of hydroclimate and land-use structure in shaping sediment connectivity, supporting targeted soil and watershed-management strategies.
Suggested Citation
Pee Poatprommanee & Supanut Suntikoon & Morrakot Khebchareon & Schradh Saenton, 2026.
"Integrated Assessment of Soil Loss and Sediment Delivery Using USLE, Sediment Yield, and Principal Component Analysis in the Mun River Basin, Thailand,"
Land, MDPI, vol. 15(2), pages 1-29, January.
Handle:
RePEc:gam:jlands:v:15:y:2026:i:2:p:220-:d:1850169
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:15:y:2026:i:2:p:220-:d:1850169. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address
(email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.