A new method for predicting chlorophyll-a concentration in a reservoir: Coupling EFDC hydrodynamic and water quality model with ConvLSTM-MLP network DOI

Haobin Meng,

Jing Zhang, Yao‐Feng Chang

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133485 - 133485

Published: May 1, 2025

Language: Английский

Wind‐driven hydrodynamic and depositional patterns in shallow lakes: An exploratory modelling approach based on an archetypal case of Lake Hulun DOI Creative Commons
Xinyu Xue, J.E.A. Storms, Florin Zăinescu

et al.

Sedimentology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

ABSTRACT Lake Hulun, the fifth‐largest lake in China, is a shallow (water depth <10 m) with typical wave‐dominated landforms developed around shoreline, semi‐enclosed bay located its southern corner. This novel study aims to understand wind‐driven hydrodynamics and related depositional patterns data‐sparse Hulun. To achieve this, series of numerical simulations were conducted hydrodynamic sediment transport model. The simulated are greatly influenced by wind direction shifts but subject little impact from speed changes which act mainly accelerate flow. By varying location deepest part lake, this reveals that centre has on overall pattern waterbodies. When perpendicular long‐axis shore, currents short‐axis shore flow follows direction. considers wind‐induced longshore oblique as main driving force transporting sediments along erosion shoreline. formation semi‐closed bays both together nearby sister – Buir attributed north‐west prevailing Further exploratory confirmed winds tend induce parallel distributed submerged accumulations nearshore zone, challenging notion accumulation solely deep water zones. provides valuable insights into hydro‐sedimentary dynamics waterbodies, offering process‐based perspective contributing current understanding palaeogeography ancient systems.

Language: Английский

Citations

0

A new method for predicting chlorophyll-a concentration in a reservoir: Coupling EFDC hydrodynamic and water quality model with ConvLSTM-MLP network DOI

Haobin Meng,

Jing Zhang, Yao‐Feng Chang

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133485 - 133485

Published: May 1, 2025

Language: Английский

Citations

0