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

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 ecol...

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Autores principales:	Wen-Cheng Liu, Hong-Ming Liu, Rita Sau-Wai Yam
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	hydrodynamic-ecological modeling phytoplankton zooplankton water quality SCHISM-Ecol Tsuei-Feng Lake Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/20771c83418d4cfba59432374098cfeb
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id	oai:doaj.org-article:20771c83418d4cfba59432374098cfeb
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spelling	oai:doaj.org-article:20771c83418d4cfba59432374098cfeb2021-11-25T19:00:33ZA Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake10.3390/su1322123772071-1050https://doaj.org/article/20771c83418d4cfba59432374098cfeb2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12377https://doaj.org/toc/2071-1050In 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.Wen-Cheng LiuHong-Ming LiuRita Sau-Wai YamMDPI AGarticlehydrodynamic-ecological modelingphytoplanktonzooplanktonwater qualitySCHISM-EcolTsuei-Feng LakeEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12377, p 12377 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydrodynamic-ecological modeling phytoplankton zooplankton water quality SCHISM-Ecol Tsuei-Feng Lake Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	hydrodynamic-ecological modeling phytoplankton zooplankton water quality SCHISM-Ecol Tsuei-Feng Lake Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Wen-Cheng Liu Hong-Ming Liu Rita Sau-Wai Yam A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake
description	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.
format	article
author	Wen-Cheng Liu Hong-Ming Liu Rita Sau-Wai Yam
author_facet	Wen-Cheng Liu Hong-Ming Liu Rita Sau-Wai Yam
author_sort	Wen-Cheng Liu
title	A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake
title_short	A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake
title_full	A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake
title_fullStr	A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake
title_full_unstemmed	A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake
title_sort	three-dimensional coupled hydrodynamic-ecological modeling to assess the planktonic biomass in a subalpine lake
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/20771c83418d4cfba59432374098cfeb
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A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake

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