Developing an EFDC and Numerical Source-Apportionment Model for Nitrogen and Phosphorus Contribution Analysis in a Lake Basin

Bai, Huiru; Wang, Dong; Zou, Rui; Zhang, Huanzhen; Rui, Yong; Ma, Wenjing; Sun, Yunhai

doi:10.3390/w10101315

Cited by 12 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We showed that the 3D model EFDC was able to simulate stratification dynamics in Lake Arendsee with high precision, resulting in an overall RMSE of only 0.78 K between modelled and observed water temperatures. The errors in our study were much lower than those presented in recent studies in which EFDC was applied (Bai et al, ; Zheng et al, ). The RMSE was different between layers and generally lower within the hypolimnion towards the lake bottom, which is related to lower temperature variations in this region (Figure ).…”

Section: Discussioncontrasting

confidence: 75%

Assessing vertical diffusion in a stratified lake using a three‐dimensional hydrodynamic model

Dong

Hupfer

et al. 2019

Hydrological Processes

View full text Add to dashboard Cite

Vertical turbulent diffusivity (K z ), which can be estimated from water temperature, is a key factor in the evolution of water quality in lentic waters. In this study, we analysed the capability of a three-dimensional hydrodynamic model (EFDC) to capture water temperature and vertical diffusivity in Lake Arendsee in the Northern German plain. Of particular interest to us is to evaluate the model performance for capturing the diffusion minimum within the metalimnion and analyse the response of the metalimnetic K z to meteorological forcing, namely changing wind speed and warming. The comparison confirmed that the calibrated model could reproduce both stratification dynamics and vertical diffusion profiles in the lake. The model was also shown to be able to capture the duration and vertical extent of the metalimnetic diffusion minimum. The scenario results illustrate that, compared to air temperature, wind velocity appeared to be the more influential meteorological variable on the vertical exchange within the metalimnion. While increasing wind velocities mostly affected the minimum values of K z in the metalimnion and thus led to intensified vertical exchange, the reduction of wind velocity mostly affected the depth of minimal K z , but not its absolute value.

show abstract

Section: Discussioncontrasting

confidence: 75%

Assessing vertical diffusion in a stratified lake using a three‐dimensional hydrodynamic model

Dong

Hupfer

et al. 2019

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…Recently, many researchers tried to couple the EFDC model with other watershed models in order to identify the effects of nonpoint source pollution [14,28,29]. In addition to that, in this study we also considered the pollutants derived from anthropogenic activities such as cage farming and damming in the tributary with the coupled model.…”

Section: Discussionmentioning

confidence: 99%

A Coupled Modeling Approach for Water Management in a River–Reservoir System

Zhang

Huang

Zhou

et al. 2019

IJERPH

View full text Add to dashboard Cite

A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a river–reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a river–reservoir system.

show abstract

“…Implicit Crank Nicolson scheme has been used in approximating the advection diffusion equation. Bai et al, 2018, presented effective on the optimization of pollution load reduction in the lake and can be utilized to evaluate the most useful implementation of its pollution-control plan. Results are used to forecast the transportation of water pollution concentration by employing the velocity and diffusion parameters.…”

Section: Pollutant Transport and Resultsmentioning

confidence: 99%

Research on Numerical Modelling in Lake Dynamics

2019

IJITEE

View full text Add to dashboard Cite

Lakes are natural water bodies, where flow from single or various rivers is impounded by a natural impediment. Lake water environmental problem has severe effect on human health and the socio-economic sustainable development. So, it's very important to find the more effective way of controlling the water pollution. Dynamics of lakes is the vast topic, which includes important concepts such as circulation of lakes, pollutant transport and interaction between lakes and hydrology. The hydrological dynamics of lake has been influenced by land cover modification, climate change, and increase in population and development activities within the catchment. Due to less velocity, lake impounds water for some time, and a significant characteristic of a lake is its retention time. Wind is the prevalent force in driving the circulation and in developing turbulent mixing in the lakes. Vertical mixing is caused by this turbulence. During circulation, summer and winter has different wind patterns. Strong wind would cause storm surge, which results in increased, mixing and transport in the surface water systems. Air temperature influence surface waters through heat flux and evaporation exchange between the air and the water. The Coriolis force is certain in large lakes due to earth rotation. Precipitation, tributaries inflow, runoffs, etc are lake water inputs. During numerical simulation of lakes, generally Boussinesq approximation and hydrostatic approximation are considered due to actual density distribution variations in water depth concepts respectively. It is essential to calibrate and verify the model before predictive applications anywhere. A simple numerical hydrodynamic model of a lake includes wind stress, bottom friction, Coriolis force, inflow, outflow, and the bottom topography of the lake. The hydrodynamic model has to be tested for stability, convergence, and sensitivity to parameters such as wind shear, wind direction, and vertical eddy viscosity effects. In this paper, the numerical simulation of lake dynamics has been discussed in detail.

show abstract

Developing an EFDC and Numerical Source-Apportionment Model for Nitrogen and Phosphorus Contribution Analysis in a Lake Basin

Cited by 12 publications

References 30 publications

Assessing vertical diffusion in a stratified lake using a three‐dimensional hydrodynamic model

Assessing vertical diffusion in a stratified lake using a three‐dimensional hydrodynamic model

A Coupled Modeling Approach for Water Management in a River–Reservoir System

Research on Numerical Modelling in Lake Dynamics

Contact Info

Product

Resources

About