Next Article in Journal
Improved Energy Recovery by Anaerobic Grey Water Sludge Treatment with Black Water
Previous Article in Journal
The Energy Efficiency of Hot Water Production by Gas Water Heaters with a Combustion Chamber Sealed with Respect to the Room
A correction was published on 25 September 2014, see Water 2014, 6(9), 2847-2848.

Water 2014, 6(8), 2412-2435; doi:10.3390/w6082412
Article

Principal Component and Multiple Regression Analyses for the Estimation of Suspended Sediment Yield in Ungauged Basins of Northern Thailand

*  and
Received: 4 May 2014; in revised form: 21 July 2014 / Accepted: 29 July 2014 / Published: 12 August 2014
View Full-Text   |   Download PDF [335 KB, updated 13 August 2014; original version uploaded 12 August 2014]   |   Browse Figures
Abstract: Predicting sediment yield is necessary for good land and water management in any river basin. However, sometimes, the sediment data is either not available or is sparse, which renders estimating sediment yield a daunting task. The present study investigates the factors influencing suspended sediment yield using the principal component analysis (PCA). Additionally, the regression relationships for estimating suspended sediment yield, based on the selected key factors from the PCA, are developed. The PCA shows six components of key factors that can explain at least up to 86.7% of the variation of all variables. The regression models show that basin size, channel network characteristics, land use, basin steepness and rainfall distribution are the key factors affecting sediment yield. The validation of regression relationships for estimating suspended sediment yield shows the error of estimation ranging from −55% to +315% and −59% to +259% for suspended sediment yield and for area-specific suspended sediment yield, respectively. The proposed relationships may be considered useful for predicting suspended sediment yield in ungauged basins of Northern Thailand that have geologic, climatic and hydrologic conditions similar to the study area.
Keywords: suspended sediment; principal component analysis; multiple regression; soil erosion suspended sediment; principal component analysis; multiple regression; soil erosion
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.

Export to BibTeX |
EndNote


MDPI and ACS Style

Wuttichaikitcharoen, P.; Babel, M.S. Principal Component and Multiple Regression Analyses for the Estimation of Suspended Sediment Yield in Ungauged Basins of Northern Thailand. Water 2014, 6, 2412-2435.

AMA Style

Wuttichaikitcharoen P, Babel MS. Principal Component and Multiple Regression Analyses for the Estimation of Suspended Sediment Yield in Ungauged Basins of Northern Thailand. Water. 2014; 6(8):2412-2435.

Chicago/Turabian Style

Wuttichaikitcharoen, Piyawat; Babel, Mukand S. 2014. "Principal Component and Multiple Regression Analyses for the Estimation of Suspended Sediment Yield in Ungauged Basins of Northern Thailand." Water 6, no. 8: 2412-2435.


Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert