scholarly journals Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Water ◽  
2016 ◽  
Vol 8 (7) ◽  
pp. 296 ◽  
Author(s):  
Bing Li ◽  
Guishan Yang ◽  
Rongrong Wan ◽  
Yanhui Zhang ◽  
Xue Dai ◽  
...  
Keyword(s):  
Water Quality ◽  
Poyang Lake ◽  
Spatiotemporal Variability ◽  
Hydrological Conditions

Study on Control of Water Quality of Poyang Lake

2014 ◽  
Vol 522-524 ◽  
pp. 979-982
Author(s):  
Chuan Bao Wu ◽  
Xiang Hui Zeng
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Best Management Practices ◽  
Poyang Lake ◽  
Low Impact Development ◽  
Pollution Prevention ◽  
Jiangxi Province ◽  
Water Quality Control ◽  
Nps Pollution

Water quality of Poyang Lake is facing serious threats with the quick development of Jiangxi Province. Water quality control and pollution prevention of Poyang Lake have become important problems set before Jiangxi Province. To keep good water quality of Poyang Lake, a series of pollution-preventing strategies were studied. In order to prevent point source (PS) pollution, industrial types and layout, management measures and production technique should be improved. Strategies to prevent non-point source (NPS) pollution include four aspects. First is to transform part of NPS pollution to PS pollution by rationally laying out industry system. Second is to construct spatially harmonious and reasonable landscape pattern. Third is to reform conventional agricultural production by using advanced chemical and biological technologies. Fourth is to carry out Best Management Practices (BMPs) and Low-impact Development (LID) by learning and innovation.

Forecasting Model Based on SAGA and LS-SVM for the Water Quality of Poyang Lake

2011 ◽  
Vol 347-353 ◽  
pp. 781-785
Author(s):  
Qun Cao ◽  
Bing Xiang Liu ◽  
Xiang Chen
Keyword(s):  
Water Quality ◽  
Poyang Lake ◽  
Quality Data ◽  
Support Vector ◽  
Forecasting Model ◽  
Model Parameters ◽  
Water Quality Data ◽  
Model Based ◽  
Simulated Annealing Genetic Algorithm

According to the nonlinearity and uncertainty of the water quality data samples, a forecasting model based on Simulated Annealing Genetic Algorithm(SAGA)and least squares support vector machines(LS-SVM) is proposed. Through adaptively optimizing the model parameters of LS-SVM by SAGA, we can apply the model to forecast water quality of Poyang Lake. The experimental results indicate that compared to the typical LS-SVM,the model is very practical and with higher precision.

Fuzzy Synthetic Evaluation for Wetland Water Quality Appraisal in Poyang Lake, China

2012 ◽  
Vol 610-613 ◽  
pp. 941-947
Author(s):  
Liu Yao ◽  
Jiang Hui
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Poyang Lake ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Fuzzy Synthetic Evaluation ◽  
Normal Water ◽  
Mathematics Method ◽  
Synthetic Evaluation

Traditional evaluation methods of the water quality parameters exist more deficiency. Entropy right process and fuzzy mathematics method are combined to establish an improved fuzzy synthetic evaluation method. Total phosphorus (TP)、total nitrogen (TN) and index of permanganate (CODMn) are selected as observed indicators in this paper. According to Mensal measured data of water quality at 5 points from 2008 and 2009 years，based on fuzzy synthetic evaluation method for water quality assessment analysed in Poyang lake. The assessment results showed that Water quality of measure stations in different water seasons changed to take turns: normal water season > flood season > dry season. the pollution`s degree at town`s stations was smaller than counties` stations, at which sample were affected greater by industry and agriculture, and we must pay attention to let contamination in counties.

Forecasting Model Based on Improved Grey-Markov

2012 ◽  
Vol 220-223 ◽  
pp. 2758-2762
Author(s):  
Qun Cao ◽  
Bing Xiang Liu ◽  
Xiang Cheng
Keyword(s):  
Water Quality ◽  
Prediction Accuracy ◽  
Historical Data ◽  
Poyang Lake ◽  
Forecasting Model ◽  
System State ◽  
Grey Prediction ◽  
Predicted Values ◽  
Development Tendency

It is great significance to forecast the water quality of Poyang Lake in the construction of Poyang Lake Ecological Economic Zone.On the condition of limited historical data,for resolving the prediction,by combining the advantages of both grey prediction and Markov theory,an improved grey-Markov model is established.First the sequence is moved average,and then unbiased grey-Markov prediction is established to imitate the development tendency of the forecast system.Divide system state into five parts by Markov chain in order to inprove the prediction accuracy. By analying an example,comparing the predicted values and real measured values,The results show that the model has a certain accuracy and reliability

scholarly journals Influence of Three Gorges Project on Water quality of Poyang Lake

2011 ◽  
Vol 10 ◽  
pp. 1496-1501 ◽  
Author(s):  
Long-hua Wu ◽  
Mei Li ◽  
Yu-yin Guo ◽  
Xiao-li Yang
Keyword(s):  
Water Quality ◽  
Poyang Lake ◽  
Three Gorges Project ◽  
Three Gorges
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