Baseflow Analysis of the Pasak River Basin
DOI:
https://doi.org/10.14456/rmutlengj.2025.8Keywords:
baseflow, digital filter, digital graphicAbstract
This research aims to determine the appropriate parameter values for baseflow analysis of the Pasak River Basin and to identify suitable methods for baseflow separation. The study focuses on monitoring stations S.33 and S.4B, located in the upper part of the Pasak River Basin. The BFI+ model was used to obtain suitable parameter values and to evaluate the accuracy of five selected methods. These methods include four iterative digital filter methods (Lynie & Hollick, Chapman, EWMA, and Boughton two-parameter) and one graphical digital
method (Local Minimum), based on daily hydrological data. The results indicate that all five methods effectively
separate the baseflow at both monitoring stations in the Pasak River Basin. Among them, the Lynie & Hollick method demonstrated higher accuracy compared to the other four methods. Additionally, the optimal parameter values for both monitoring stations were found to be similar. This research highlights the importance of selecting appropriate baseflow separation methods and accurately calibrating parameters to ensure precise and reliable baseflow analysis in the Pasak River Basin.
References
Jung Y, Shin Y, Won N-I, Lim K. Web-Based BFlow System for the Assessment of Streamflow Characteristics at National Level. Water. 2016;8(9):384.
Lim KJ, Engel BA, Tang Z, Choi J, Kim K-S, Muthukrishnan S, et al. AUTOMATED WEB GIS BASED HYDROGRAPH ANALYSIS TOOL, WHAT. Journal of the American Water Resources Association. 2005:1407-16.
Indarto, Novita E, Wahyuningsih S. Preliminary Study on Baseflow Separation at Watersheds in East Java Regions. Agriculture and Agricultural Science Procedia. 2016;9:538-50.
Indarto I, Novita E, Wahyuningsih S, Herlinda ND, Hidayah E. Application of recursive digital filter (RDF) methods for baseflow separation: study at Brantas watershed. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management). 2019;9(3):626-40.
Kang T, Lee S, Lee N, Jin Y. Baseflow Separation Using the Digital Filter Method: Review and Sensitivity Analysis. Water. 2022;14(3).
He S, Yu K, Tang Z, Yan Y, Zhang F. Impacts of parameter uncertainty on baseflow separation by a two‐parameter recursive digital filter. Hydrological Processes. 2022;36(3).
Cheng S, Tong X, Illman WA. Evaluation of baseflow separation methods with real and synthetic streamflow data from a watershed. Journal of Hydrology. 2022;613.
Xie J, Liu X, Wang K, Yang T, Liang K, Liu C. Evaluation of typical methods for baseflow separation in the contiguous United States. Journal of Hydrology. 2020;583.
Mao B, Wang X, Jia S, Liu Z. Multi-methods to investigate the baseflow: Insight from watershed scale spatiotemporal variety perspective. Ecological Indicators. 2024;158.
Li L, Maier HR, Partington D, Lambert MF, Simmons CT. Performance assessment and improvement of recursive digital baseflow filters for catchments with different physical characteristics and hydrological inputs. Environmental Modelling & Software. 2014;54:39-52.
Office of the National Water Resources. Basic database development project for 22 river basins: Summary report on the basic information of the Pasak River Basin. Bangkok: Office of the National Water Resources; 2020.Thai.
Vudhivanich V, Chuchat W. Analysis of model accuracy using Nash-Sutcliffe Efficiency and R2 [Internet]. 2010. p. 77-87. Available from: https://online.anyflip.com/awhu/ialr/mobile/.Thai
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.