scholarly journals Transfer Functions in Volume Rendering of Lake Water Quality Considering Frequency Distribution

2021 ◽  
Author(s):  
Wangjun He ◽  
Alan Yuan ◽  
Xianyong Gu ◽  
Zhenliang Liao
Keyword(s):  
Water Quality ◽  
Scalar Field ◽  
Frequency Distribution ◽  
Volume Rendering ◽  
Lake Water ◽  
Transfer Functions ◽  
Water Quality Model ◽  
Quality Model ◽  
Lake Water Quality ◽  
Distribution Ranges

Abstract To explore the distribution and diffusion of pollutants in lakes, the volume rendering technique was used to express the lake water quality model in three dimensions. Due to the narrow distribution ranges and small spatial differences of the scalar field of the lake water quality mode, the perspective expression of subtle differences in the volume rendering process becomes important but difficult. In view of the foregoing case, this paper proposed transfer functions (TFs) in volume rendering of lake water quality considering the frequency distribution. The frequency distribution of the lake water quality scalar field was counted, the voxel ratios and the coloring probabilities of the frequency ranges were calculated, and then the voxel values were effectively mapped to colors and transparencies according to the coloring probabilities, to realize the refined expression of the differences in the spatial distribution of lake water quality. Experiments showed that the perspective expression of the subtle differences of lake (especially shallow lakes) water quality was improved using this method, which is conducive to analyzing the characteristics and changing laws of lake water quality model.

Bayesian modelling of algal mass occurrences—using adaptive MCMC methods with a lake water quality model

2007 ◽  
Vol 22 (7) ◽  
pp. 966-977 ◽  
Author(s):  
Olli Malve ◽  
Marko Laine ◽  
Heikki Haario ◽  
Teija Kirkkala ◽  
Jouko Sarvala
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Water Quality Model ◽  
Mcmc Methods ◽  
Bayesian Modelling ◽  
Quality Model ◽  
Lake Water Quality ◽  
Adaptive Mcmc

Simulations of water quality and oxythermal cisco habitat in Minnesota lakes under past and future climate scenarios

2012 ◽  
Vol 47 (3-4) ◽  
pp. 375-388 ◽  
Author(s):  
Xing Fang ◽  
Shoeb R. Alam ◽  
Heinz G. Stefan ◽  
Liping Jiang ◽  
Peter C. Jacobson ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Fish Habitat ◽  
Future Climate ◽  
Climate Scenarios ◽  
Quality Model ◽  
Lake Water Quality ◽  
Oligotrophic Lakes ◽  
Minnesota Lakes ◽  
Average Standard Error

A deterministic, process-oriented, dynamic and one-dimensional year-round lake water quality model, MINLAKE2010, was developed for water temperature (T) and dissolved oxygen (DO) simulations to study impacts of climate warming on lake water quality and cisco fish habitat. The DO model is able to simulate metalimnetic oxygen maxima in vertical DO profiles of oligotrophic lakes. The model was calibrated with profile data from the 28 study lakes in Minnesota; two-thirds of them are deep mesotrophic/oligotrophic lakes that support cisco, a coldwater fish species. The average standard error of estimate against measured data was 1.47 °C for T and 1.50 mg/L for DO. Oxythermal habitat parameter TDO3 (T at DO = 3 mg/L) was determined from simulated daily T and DO profiles under past and future climate scenarios in the 28 study lakes. Average annual maximum TDO3 (TDO3AM) for the 28 study lakes is projected to increase on the average of 3.2 °C under the MIROC 3.2 future scenario, while the occurrence day of TDO3AM is not much different under past and future climate scenarios. Both physical processes (mixing characteristics related to lake geometry ratio) and trophic status control temperature and DO characteristics and then affect cisco habitat in a lake.

Case study on water quality modelling of Dianchi Lake, Yunnan province, South West China

1999 ◽  
Vol 40 (2) ◽  
pp. 35-43 ◽  
Author(s):  
A.V. Gray ◽  
Wang Li
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Dianchi Lake ◽  
Water Quality Modelling ◽  
Quality Model ◽  
Lake Water Quality ◽  
West China ◽  
Run Off ◽  
Projected Changes

The main aim of this work was to construct and validate a mathematical water quality model of the Dianchi lake, so that by altering input total phosphate (TP) loads the projected changes in the lake water TP concentrations could be estimated. Historical information had indicated deteriorating lake water quality with increasing TP concentrations. The model was based on a simple annual mass balance, relying on 3 years (wet, average and dry) data with all TP loads quantified, 7 years of lake water quality, and 36 years of flow data. All lake processes were considered within a single variable, R. Planning TP removal at STWs and within fertilizer plants, coupled with interventions to reduce non-point TP loads from all land run-off by 50%, suggested future lake water TP concentrations could be stabilised at about 0.3 mg TP/l, i.e. the estimated limit for producing algal concentrations that would cause major problems in water treatment plants. The TP load reductions envisaged as realistic would only stabilise the lake water quality by about the year 2008; interventions, unfortunately, could not return the lake to its former pristine condition. The accuracy of the predictions was ± 0.1 mg TP/1, so collection of better data was needed.

Improvement of Lake Water Quality by using Moving Rapid Water Treatment System

2018 ◽  
Vol 18 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Kwang-Hee Lee ◽  
◽  
Min-Ho Kim ◽  
Nam-Woo An ◽  
Chul-hwi Park
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Lake Water ◽  
Treatment System ◽  
Lake Water Quality ◽  
Water Treatment System
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