the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drought and Salinity Intrusion in the Lower Chao Phraya River: Variability Analysis and Modeling Mitigation Approaches
Abstract. Saltwater intrusion in the Lower Chao Phraya River (LCPYR) is a significant national concern for Thailand, requiring a thorough understanding and a development of effective prediction systems for current and future management. This study investigates the key drivers influencing saltwater intrusion in the LCPYR. Cross-wavelet analysis was applied to examine the interactions between tidal forces, drought conditions represented by the standardized discharge index (SDI) and standardized precipitation index (SPI), and salinity levels. Numerical simulations are used to explore the covariation among these drivers further. The results show that hydrological drought, particularly indicated by the SDI, plays a major role in driving the sub-annual to annual variability of saltwater intrusion, while extreme events are largely governed by sea-level oscillations, underscoring the importance of non-tidal sea levels. Local precipitation, as reflected by the SPI, strongly influences salinity levels, at times weakening the usual correlation between salinity and hydrological drought. The numerical model demonstrates high accuracy in simulating both hydrodynamic and salinity behaviors, validating the cross-wavelet analysis and offering a reliable approach for modeling salinity in this complex estuarine system. These findings offer essential insights to guide management strategies and the development of prediction tools for the LCPYR and surrounding regions.
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RC1: 'Comment on egusphere-2024-4052', Anonymous Referee #1, 18 Mar 2025
Saltwater intrusion is a serious concern for coastal regions. In this paper, the attention is paid to the Lower Chao Phraya River. The effects of hydrological droughts on saltwater intrusion is investigated by both wavelet analysis and hydrodynamic models. In general, the paper presents an interesting case study. There are five comments for further improvements of the paper:
First of all, saltwater intrusion is in general an old topic. There are quite a number of previous publications. For a few examples, please refer to Liu et al. (2020), Liu et al. (2019) and Weng et al. (2024). The authors may want to highlight what new insights this paper presents.
The second comment relates to the first one. Every case study is unique to some extent. Therefore, the authors may want to illustrate some unique characteristics of the Lower Chao Phraya River. In particular, the “study area” and “data” can be presented in the same section. In this way, people can better understand the background.
Thirdly, the methods of wavelet analysis and hydrodynamic models are currently presented in two sections. The authors may want to combine them into one section.
The fourth comment relates to the third one. What new findings are made through the combined use of t wavelet analysis and hydrodynamic models? In particular, can some early warnings be developed from the combined use?
Fifthly, the abstract tells that “… offer essential insights to guide management strategies and the development of prediction tools for the LCPYR and surrounding regions.” More details are in demand.
References:
Liu, D., Chen, X. and Lou, Z., 2010. A model for the optimal allocation of water resources in a saltwater intrusion area: a case study in Pearl River Delta in China. Water resources management, 24, pp.63-81.
Liu, B., Peng, S., Liao, Y. and Wang, H., 2019. The characteristics and causes of increasingly severe saltwater intrusion in Pearl River Estuary. Estuarine, coastal and shelf science, 220, pp.54-63.
Weng, P., Tian, Y., Zhou, H., Zheng, Y. and Jiang, Y., 2024. Saltwater intrusion early warning in Pearl River delta based on the temporal clustering method. Journal of Environmental Management, 349, p.119443.
Citation: https://doi.org/10.5194/egusphere-2024-4052-RC1 -
RC2: 'Comment on egusphere-2024-4052', Anonymous Referee #2, 19 Mar 2025
This paper addresses the problem of salinity intrusion in the Lower Chao Phraya River in Thailand, by combining local observations and numerical modeling. Their study can be applied to estuarine systems worldwide and represents a complete approach for building a valuable forecasts system and for understanding the key drivers of salinity intrusions.
I suggest the Author to make few modifications in the following points, especially to provide more details in the methods:
Study Area:
Figure 1: Please describe the figure more in detail (e.g. what is the color bar representing?), add a reference length scale bar and add a reference map to identify the position of this region, with respect to a broader region (e.g. whole Thailand and neighboring countries).
Lines 66-70: Repetition of the introduction, I suggest to remove this lines.
Lines 81-85: Are there any references for such observational data? Please add them, whether present
Data and Methods:
Lines 112-113: How data are detrended? Please add some information on the method used to detrend time series.
Equations 1 and 2: How the rolling mean is evaluated. Is there any variable transformation for daily streamflow and rainfall before computing the index or daily rainfall and streamflow have already a gaussian distribution? What period the rolling mean is referred to (SPI3, SPI6, ...)? Please be more accurate in the description of SDI and SPI.
Line 141: Please check the site link. In my case, it is not working.
Line 225: What is the GOFS 3.1 reanalysis product (HYCOM)? Please add a reference or further explanation.
Results and discussion:
Generally, sections 6.3.2 and section 6.3.3 are very difficult to follow, due to many experiments and acronyms. Tables help, but the reading would be improved by summarizing such sections and maybe introducing a schematic summarizing all the experiments.
Figure 5: Are horizontal lines marking the periods of 14, 182, and 365 days? I am not sure about the 182 days line.
Line 354: Please define Higher High Water and Lower High Water
Figure 6: Please substitute cms unit with m3/s
Line 493: correct de-pending
Line 551: Non-tidal Sea Level Effects: missing bold text
Line 572: correct mitiga-tion
Line 602: correct cli-mate
Citation: https://doi.org/10.5194/egusphere-2024-4052-RC2
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