Next Article in Journal
Nonlinear Elasto-Visco-Plastic Creep Behavior and New Creep Damage Model of Dolomitic Limestone Subjected to Cyclic Incremental Loading and Unloading
Next Article in Special Issue
Distributed Hydrological Model Based on Machine Learning Algorithm: Assessment of Climate Change Impact on Floods
Previous Article in Journal
How Students, in an Air Conditioning and Heating Course, Assess the Impact of the COVID-19 Pandemic on the ABET Student Learning Outcomes
Previous Article in Special Issue
A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake

1
Department of Civil and Disaster Prevention Engineering, National United University, Miaoli 360302, Taiwan
2
Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(22), 12377; https://doi.org/10.3390/su132212377
Submission received: 3 September 2021 / Revised: 2 November 2021 / Accepted: 3 November 2021 / Published: 9 November 2021

Abstract

In this study, a coupled three-dimensional hydrodynamic-ecological model was developed to comprehensively understand the interaction between the hydrodynamics and ecological status of a lake. The coupled model was utilized to explore the hydrodynamics, water quality, and ecological status in an ecologically rich subalpine lake (i.e., Tsuei-Feng Lake (TFL), located in north-central Taiwan). The measured data of water depth, water temperature, water quality, and planktonic biomass were gathered to validate the coupled model. The simulated results with a three-dimensional hydrodynamic and water quality-ecological model reasonably reproduced the variations in observed water depth, water temperature, water quality, and phytoplankton and zooplankton biomass. Sensitivity analysis was implemented to determine the most influential parameter affecting the planktonic biomass. The results of sensitivity analysis indicated that the predation rate on phytoplankton (PRP) significantly affects the phytoplankton biomass, while the basal metabolism rate of zooplankton (BMZ) importantly affects the zooplankton biomass. Furthermore, inflow discharge was the most important environmental factor dominating the phytoplankton and zooplankton biomass of TFL. This implies that the runoff in the catchment area caused by rainfall and the heavy rainfall induced by climate change may affect the planktonic biomass of the lake.
Keywords: hydrodynamic-ecological modeling; phytoplankton; zooplankton; water quality; SCHISM-Ecol; Tsuei-Feng Lake hydrodynamic-ecological modeling; phytoplankton; zooplankton; water quality; SCHISM-Ecol; Tsuei-Feng Lake

Share and Cite

MDPI and ACS Style

Liu, W.-C.; Liu, H.-M.; Yam, R.S.-W. A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake. Sustainability 2021, 13, 12377. https://doi.org/10.3390/su132212377

AMA Style

Liu W-C, Liu H-M, Yam RS-W. A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake. Sustainability. 2021; 13(22):12377. https://doi.org/10.3390/su132212377

Chicago/Turabian Style

Liu, Wen-Cheng, Hong-Ming Liu, and Rita Sau-Wai Yam. 2021. "A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake" Sustainability 13, no. 22: 12377. https://doi.org/10.3390/su132212377

APA Style

Liu, W.-C., Liu, H.-M., & Yam, R. S.-W. (2021). A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake. Sustainability, 13(22), 12377. https://doi.org/10.3390/su132212377

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop