[ report an error in this record ]basket (0): add | show Print this page

Development of a conceptual reservoir-type model for salinity simulation along the tidal river
Zhu, B.; Willems, P. (2025). Development of a conceptual reservoir-type model for salinity simulation along the tidal river. J. Hydrol. (Amst.) 663: 134096. https://dx.doi.org/10.1016/j.jhydrol.2025.134096
In: Journal of Hydrology. Elsevier: Tokyo; Oxford; New York; Lausanne; Shannon; Amsterdam. ISSN 0022-1694; e-ISSN 1879-2707, more
Peer reviewed article  

Available in  Authors 

Author keywords
    Seawater intrusion;Conceptual model;High salinity;mike11;Scheldt estuary;intrusion;risk

Authors  Top 
  • Zhu, B.
  • Willems, P., more

Abstract
    Increasing saltwater intrusion in estuaries driven by climate change and human activities necessitates efficient predictive tools, yet high-resolution models remain computationally prohibitive for large-scale applications. This study presents a conceptual reservoir-type model (CM), which is a simplification of the full hydrodynamic 1D MIKE11 framework, designed to balance accuracy and computational efficiency. The CM comprises two modules: (1) a hydrodynamic module resolving discharge (Q) and water level (WL) via sequential reservoir calculations, and (2) an advection-dispersion module simulating salinity (S) dynamics using the finite difference method. Validated for the Scheldt Estuary against MIKE11 simulations, the CM achieves Nash-Sutcliffe Efficiency (NSE) > 0.9 for WL, > 0.8 for Q, and > 0.85 for S, effectively capturing spatial gradients (e.g., downstream-to-upstream decline), tidal variability, and abrupt tributary impacts (e.g., Rupel River). Despite the coarser spatial resolution ( 6,000 m vs. MIKE11's 300 m for S node spacing), the CM demonstrates the capacity to accurately simulate S dynamics, with slight overestimations, particularly excelling in simulating high 95th percentile salinities. Moreover, the CM reliably estimates S at non-aligned spatial nodes with simple interpolation, as demonstrated through validation against field data. After scenario testing, its high computational efficiency and spatial flexibility (enabling rapid sub-reach adaptation without grid reconfiguration) support scalable and robust applications like zoning management for saltwater monitoring under climate change.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors