Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand

This research aims to estimate baseflow (BF) and baseflow index (BFI) in ungauged basins in the southern part of Thailand. Three spatial interpolation methods (namely, inverse distance weighting (IDW), kriging, and spline) were utilized and compared in regard to their performance. Two baseflow separ...

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Autores principales:	Pakorn Ditthakit, Sarayod Nakrod, Naunwan Viriyanantavong, Abebe Debele Tolche, Quoc Bao Pham
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Eckhardt filter method inverse distance weighting kriging local minimum method spline ungauged basin Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/ee807c2aac9a46038d43c79e45bfcdfd
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spelling	oai:doaj.org-article:ee807c2aac9a46038d43c79e45bfcdfd2021-11-11T19:57:43ZEstimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand10.3390/w132131132073-4441https://doaj.org/article/ee807c2aac9a46038d43c79e45bfcdfd2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3113https://doaj.org/toc/2073-4441This research aims to estimate baseflow (BF) and baseflow index (BFI) in ungauged basins in the southern part of Thailand. Three spatial interpolation methods (namely, inverse distance weighting (IDW), kriging, and spline) were utilized and compared in regard to their performance. Two baseflow separation methods, i.e., the local minimum method (LM) and the Eckhardt filter method (EF), were investigated. Runoff data were collected from 65 runoff stations. These runoff stations were randomly selected and divided into two parts: 75% and 25% for the calibration and validation stages, respectively, with a total of 36 study cases. Four statistical indices including mean absolute error (MAE), root mean squared error (RMSE), correlation coefficient (r), and combined accuracy (CA), were applied for the performance evaluation. The findings revealed that monthly and annual BF and BFI calculated by EF were mostly lower than those calculated by LM. Furthermore, IDW gave the best performance among the three spatial interpolation techniques by providing the highest r-value and the lowest MAE, RMSE, and CA values for both the calibration and validation stages, followed by kriging and spline, respectively. We also provided monthly and annual BF and BFI maps to benefit water resource management.Pakorn DitthakitSarayod NakrodNaunwan ViriyanantavongAbebe Debele TolcheQuoc Bao PhamMDPI AGarticleEckhardt filter methodinverse distance weightingkriginglocal minimum methodsplineungauged basinHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3113, p 3113 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Eckhardt filter method inverse distance weighting kriging local minimum method spline ungauged basin Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	Eckhardt filter method inverse distance weighting kriging local minimum method spline ungauged basin Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Pakorn Ditthakit Sarayod Nakrod Naunwan Viriyanantavong Abebe Debele Tolche Quoc Bao Pham Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand
description	This research aims to estimate baseflow (BF) and baseflow index (BFI) in ungauged basins in the southern part of Thailand. Three spatial interpolation methods (namely, inverse distance weighting (IDW), kriging, and spline) were utilized and compared in regard to their performance. Two baseflow separation methods, i.e., the local minimum method (LM) and the Eckhardt filter method (EF), were investigated. Runoff data were collected from 65 runoff stations. These runoff stations were randomly selected and divided into two parts: 75% and 25% for the calibration and validation stages, respectively, with a total of 36 study cases. Four statistical indices including mean absolute error (MAE), root mean squared error (RMSE), correlation coefficient (r), and combined accuracy (CA), were applied for the performance evaluation. The findings revealed that monthly and annual BF and BFI calculated by EF were mostly lower than those calculated by LM. Furthermore, IDW gave the best performance among the three spatial interpolation techniques by providing the highest r-value and the lowest MAE, RMSE, and CA values for both the calibration and validation stages, followed by kriging and spline, respectively. We also provided monthly and annual BF and BFI maps to benefit water resource management.
format	article
author	Pakorn Ditthakit Sarayod Nakrod Naunwan Viriyanantavong Abebe Debele Tolche Quoc Bao Pham
author_facet	Pakorn Ditthakit Sarayod Nakrod Naunwan Viriyanantavong Abebe Debele Tolche Quoc Bao Pham
author_sort	Pakorn Ditthakit
title	Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand
title_short	Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand
title_full	Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand
title_fullStr	Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand
title_full_unstemmed	Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand
title_sort	estimating baseflow and baseflow index in ungauged basins using spatial interpolation techniques: a case study of the southern river basin of thailand
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ee807c2aac9a46038d43c79e45bfcdfd
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Estimating Baseflow and Baseflow Index in Ungauged Basins Using Spatial Interpolation Techniques: A Case Study of the Southern River Basin of Thailand

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