Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake

Wu, Guozheng; Xu, Zongxue

doi:10.1016/j.ecolmodel.2010.12.021

Cited by 156 publications

(57 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The hydrodynamics of the EFDC is based on the Princeton Ocean Model (Blumberg and Mellor, 1987). The mass balance equation for each of the water quality state variables in the EFDC may be expressed as (Wu and Xu, 2011):…”

Section: Numerical Model Descriptionmentioning

confidence: 99%

“…TP, total nitrogen (TN), NH 4 + -N, COD, DO and Chl a are the main index for evaluating water quality and eutrophication state. Considering that these variables would interact with one another (Wu and Xu, 2011), all these eutrophicationrelated parameters were calibrated to guarantee the accuracy of calibration results. Parameters were adjusted within a reasonable range until the results predicted by the model were in good agreement with the observed data.…”

Section: Water Quality Calibrationmentioning

confidence: 99%

See 1 more Smart Citation

The potential impact of an inter-basin water transfer project on nutrients (nitrogen and phosphorous) and chlorophyll a of the receiving water system

Zeng

Qin

2015

Science of The Total Environment

View full text Add to dashboard Cite

Section: Numerical Model Descriptionmentioning

confidence: 99%

Section: Water Quality Calibrationmentioning

confidence: 99%

The potential impact of an inter-basin water transfer project on nutrients (nitrogen and phosphorous) and chlorophyll a of the receiving water system

Zeng

Qin

2015

Science of The Total Environment

View full text Add to dashboard Cite

“…During the summer period, from May to September, the Chl a concentration frequently exceeded 30 mg/m 3 and occasionally even exceeded 60 mg/m 3 . Periods with Chl a concentration above 30 mg/m 3 are considered as algal bloom in several studies [36,37]. …”

Section: Environmental Factorsmentioning

confidence: 99%

Spatial and Temporal Variations in Environmental Variables in Relation to Phytoplankton Community Structure in a Eutrophic River-Type Reservoir

Zhao

Jiao

et al. 2017

Water

View full text Add to dashboard Cite

This study assesses spatial and temporal variation in environmental variables in relation to phytoplankton community size and composition in a typically eutrophic river reservoir (Hai River, northern China). The aim is to identify environmental parameters governing spatial and temporal differences in phytoplankton density and composition. Physicochemical parameters, including nutrient concentrations, were determined in monthly surface water samples from 2015. The average concentration of key eutrophication indexes (i.e., total phosphorous (TP: 0.24 ± 0.11 mg·L −1 ), total nitrogen (TN: 2.96 ± 1.60 mg·L −1 ), and Chlorophyll a (Chl a: 38.5 ± 11.5 mg·m −3 )) substantially exceeded threshold values for eutrophic streams. Moreover, the eutrophication increased significantly downstream along the river reservoir as a consequence of an increasing fraction of agricultural and industrial land-use in the watershed. 103 phytoplankton species were identified, of which Chlorophyta was the dominated phylum (47 species), followed by Bacillariophyta (23 species) and Cyanophyta (18 species). No spatial difference in species distribution (ANOVA, p > 0.05) were found, while the temporal differences in species composition exhibited significant heterogeneity (ANOVA, p < 0.001). Phytoplankton abundance was highest in early summer (June and July), with maximum values increasing from 1.78 × 10 8 and 2.80 × 10 8 cells·L −1 in upstream and middle reaches, respectively, to 4.18 × 10 8 cells·L −1 furthest downstream. Cyanophyta, also known as Cyanobacteria and commonly referred to as blue-green algal, are known to constitute algae bloom in eutrophic systems. Common species are Microcystis marginata, Microcystis flos-aquae, and Oscillatoria sp. This was the dominant phyla during summer months, especially in the middle and lower reaches of the stream reservoir where it accounted for 88.9% of the phytoplankton community. Shannon weaver index (H') and Pielous's evenness index (J') were extremely low (1.91-2.43 for H' and 0.39-0.45 for J') in samples collected from the lower part of the stream during the period of algal bloom, indicating an imbalance in the phytoplankton communities. Canonical correspondence analysis (CCA) indicated that water temperature (WT) and possible pH, along with nitrate (NO 3 -N) and nitrite (NO 2 -N), were the most important explanatory parameters in regard to phytoplankton composition. This research provides an understanding of the role of physicochemical water quality parameters in governing algal blooms and phytoplankton composition in river reservoirs.

show abstract

“…Furthermore, the model of EFDC even considers multiple factors such as vegetative resistances, hydraulic structures and meteorological conditions. It has been successfully used in the simulation of hydrodynamic processes (Ji, Hu, Shen, & Wan, 2007;Sinha, Liu, & Garcia, 2012), water age analysis Li et al, 2013), sediment transport (Lv, Zhang, Liu, Hao, & Wu, 2013;Wang et al, 2013), salinity spreading (Gong, Wang, & Jia, 2012;Zhou, Wang, & Luo, 2012), dissolved oxygen distribution (Xia et al, 2011), algae growth prediction (James & Boriah, 2010;James, Janardhanam, & Hanson, 2013;Wu & Xu, 2011) and so on.…”

Section: Introductionmentioning

confidence: 99%

Application of EFDC model to grading the eutrophic state of reservoir: case study in Tianjin Erwangzhuang Reservoir, China

Zhang

You

2016

Engineering Applications of Computational Fluid Mechanics

View full text Add to dashboard Cite

Reservoirs are major sources of water supply in many densely populated areas. Eutrophic state plays an important role in reflecting the health status of reservoir ecosystem and it is a key field of water environment study. In this paper the method of grading the eutrophic state of reservoir based on the results of Environmental Fluid Dynamics Code (EFDC) model was proposed in order to obtain the spatial and temporal evaluation of eutrophic state in reservoir. Taking Tianjin Erwangzhuang reservoir as an example, the temporal and spatial trends of hydrodynamic and water quality of the reservoir were studied. The eutrophic state and the limited factor of eutrophication were predicted for Tianjin Erwangzhuang reservoir. This study provides a useful tool for understanding of the eutrophic state grade in a reservoir and surface water environment. ARTICLE HISTORY

show abstract

Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake

Cited by 156 publications

References 30 publications

The potential impact of an inter-basin water transfer project on nutrients (nitrogen and phosphorous) and chlorophyll a of the receiving water system

The potential impact of an inter-basin water transfer project on nutrients (nitrogen and phosphorous) and chlorophyll a of the receiving water system

Spatial and Temporal Variations in Environmental Variables in Relation to Phytoplankton Community Structure in a Eutrophic River-Type Reservoir

Application of EFDC model to grading the eutrophic state of reservoir: case study in Tianjin Erwangzhuang Reservoir, China

Contact Info

Product

Resources

About