scholarly journals APPLICATION OF THE MODIFIED EBB TO IMPROVE LAKE WATER QUALITY IN HA NOI

2018 ◽  
Vol 55 (4C) ◽  
pp. 186
Author(s):  
Hoang Luong
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Bacterial Communities ◽  
Domestic Wastewater ◽  
Viet Nam ◽  
Residential Areas ◽  
Small Lakes ◽  
Lake Water Quality ◽  
Environmental Materials

The modified Eco-Bio-Block (EBB) has been studied and manufactured in Viet Nam, based on the process of blending friendly environmental materials as activated carbon, zeolite, kazemzite, sand and useful microorganisms. After culturing, bacterial communities in the modified EBB became significant abundant by DGGE analysis of 16S rDNA. The amount of microorganisms in the modified EBB was 107 CFU/g bacteria communities (Prokaryote). After 2 months treatment with the modified EBB, the quality of Khuong Thuong lake water has been significantly improved; the concentration of COD, NH4+, Coliform and Chlorophyll-a are reduced by 65.51 %, 64.28 %, 50 % and 68.42 %, respectively at the location A1. Sensuously, the lake water became brighter and cleaner. The application of the modified EBB to improve the lake water quality was conducted appropriately to the conditions at Vietnam in general and at Hanoi in particular. This research aims at localizing technology and improving efficiency on pond/lake water treatment. Further goal of the modified EBB application is to reduce pollutants in domestic wastewater form residential areas, in ditches, creeks and small lakes in Viet Nam.

scholarly journals Natural stochasticity vs. management effort: use of year-to-year variance for disentangling significance of two mutually confounding factors affecting water quality of a Norwegian cold dimictic lake

2014 ◽  
Vol 11 (11) ◽  
pp. 12489-12518
Author(s):  
A. T. Romarheim ◽  
K. Tominaga ◽  
G. Riise ◽  
T. Andersen
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Phytoplankton Biomass ◽  
Light Attenuation ◽  
System Structure ◽  
Confounding Factors ◽  
Lake Water Quality ◽  
Management Effort ◽  
Stochastic Event

Natural stochasticity can pose challenges in managing the quality of the environment, or hinder understanding of the system structure. It is problematic because unfavourable stochastic event cancels the costly management effort and because favourable stochastic event overestimates success of the management effort. This paper presents a variance-based modelling method that can be used to quantify the extent to which the natural stochasticity can affect the target environment. We use a case study of a lake water quality assessment in a Norwegian lake of Årungen, together with a lake model MyLake, in order to present the method, and how this method could assist in answering scientific and managerial questions. Specifically, the case study's goal was to disentangle the respective significance of nutrient loading (management) and weather (the confounding natural stochasticity). Many scientifically and managerially relevant understandings have been revealed. For example, variation in runoff volume was most prevalent during autumn and winter, while variation in phosphorus inflow was most extensive from late winter to early spring. Thermal related properties in the lake were mostly determined by weather conditions, whereas loading was the most important factor for phytoplankton biomass and water transparency. Mild winters and greater inputs of suspended matter and phosphorus were followed by increased phytoplankton biomass and light attenuation. These findings suggest also that future changes in the global climate may have important implications for local water management decision-making. The present method of disentangling mutually confounding factors is not limited to lake water quality studies and therefore should provide certain utility in other application field of modelling.

Effects of Sediment Dredging on Water Quality of Meiliang Lake

2011 ◽  
Vol 90-93 ◽  
pp. 2619-2623
Author(s):  
Fu Long Chen ◽  
Jing Wang
Keyword(s):  
Water Quality ◽  
Numerical Model ◽  
Bottom Sediment ◽  
Lake Water ◽  
Lake Water Quality ◽  
Sediment Dredging ◽  
Tai Lake ◽  
Before And After

Meiliang Lake is located at north of Tai lake, it is one of the most important part of Tai Lake. Water quality of Meiliang Lake is being worse because the TP, TN and COD is released from the bottom sediment. So th goverment is decided to dredg the bottom sediment to improve the water quality. This paper used WASP5 numerical model to simulate the water quality of Meiliang Lake before and after the sediment dredging. The results show that sediment dredging is useful for improving the water quality of Meiliang Lake.

scholarly journals Pit Lake Water Quality of Central India

2016 ◽  
Vol 08 (01) ◽  
pp. 28-39 ◽  
Author(s):  
Shobhana Ramteke ◽  
Vintee Verma ◽  
Suryakant Chakradhari ◽  
Pravin Kumar Sahu ◽  
Bharat Lal Sahu ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Central India ◽  
Pit Lake ◽  
Lake Water Quality

scholarly journals Numerical Simulation of Donghu Lake Hydrodynamics and Water Quality Based on Remote Sensing and MIKE 21

2020 ◽  
Vol 9 (2) ◽  
pp. 94 ◽  
Author(s):  
Xiaojuan Li ◽  
Mutao Huang ◽  
Ronghui Wang
Keyword(s):  
Remote Sensing ◽  
Numerical Simulation ◽  
Water Quality ◽  
Lake Water ◽  
Quality Data ◽  
Lake Water Quality ◽  
Water Quality Simulation ◽  
Donghu Lake ◽  
Mean Square Errors

Numerical simulation is an important method used in studying the evolution mechanisms of lake water quality. At the same time, lake water quality inversion technology using the characteristics of spatial optical continuity data from remote sensing satellites is constantly improving. It is, however, a research hotspot to combine the spatial and temporal advantages of both methods, in order to develop accurate simulation and prediction technology for lake water quality. This paper takes Donghu Lake in Wuhan as its research area. The spatial data from remote sensing and water quality monitoring information was used to construct a multi-source nonlinear regression fitting model (genetic algorithm (GA)-back propagation (BP) model) to invert the water quality of the lake. Based on the meteorological and hydrological data, as well as basic water quality data, a hydrodynamic model was established by using the MIKE21 model to simulate the evolution rules of water quality in Donghu Lake. Combining the advantages of the two, the best inversion results were used to provide a data supplement for optimization of the water quality simulation process, improving the accuracy and quality of the simulation. The statistical results were compared with water quality simulation results based on the data measured. The results show that the water quality simulation of chlorophyll a and nitrate nitrogen mean square errors fell to 17% and 24%, from 19% and 31% respectively, after optimization using remote sensing spatial information. The model precision was thus improved, and this is consistent with the actual pollution situation of Donghu Lake.

Impacts of the 1988 Wildfires on the Water-Quality of Yellowstone and Lewis Lakes, Wyoming

1994 ◽  
Vol 4 (3) ◽  
pp. 169 ◽  
Author(s):  
RG jr. Lathrop
Keyword(s):  
Water Quality ◽  
Atmospheric Deposition ◽  
Lake Water ◽  
Relative Importance ◽  
Lake Water Quality ◽  
Large Lakes

The objective of this paper is to examine whether the severity and great extent of the 1988 Yellow-stone fires impacted the water quality of two of Yellowstone's major lakes. Analysis of water quality records for Yellowstone and Lewis Lakes collected over a fifteen year period (1976-1991) have shown only a minimal shift in lake water quality following the fires. Though 25 percent of their watersheds were heavily burned, these lakes appear to be large enough to dilute increased inputs and have experienced few lasting effects from the 1988 fires. The relative importance of landwater interactions in affecting the water quality of Yellowstone's large lakes must be viewed in the context of a multitude of other factors, including changing atmospheric deposition and hydrothermal inputs.

scholarly journals Impact of External Conditions on Water Quality of Kamencové (Alum) Lake in Chomuto v and Proposal of Revitalizing Measures

2019 ◽  
Vol 50 (2) ◽  
pp. 110-116
Author(s):  
A. Jelínková ◽  
D. Fedorova
Keyword(s):  
Water Quality ◽  
Brown Coal ◽  
Potential Risk ◽  
Lake Water ◽  
Lake Water Quality ◽  
Increased Risk ◽  
Algae Growth ◽  
External Conditions ◽  
Water Quality Deterioration

Abstract Kamencové Lake (also called Alum Lake) located in Chomutov (North Bohemian Brown Coal Basin, Czech Republic) is a worldwide unique for its lake water chemical composition (K Al (SO4)2 12 H2O) that naturally prevents algae growth. The region used to be a centre of heavy industry based on brown coal burning, with a crucial impact on the environment (especially acid rain) in 1980s. This fact was considered the key aspect influencing the lake water quality deterioration in the past, besides the growing popularity of the area for recreational purposes (increased risk of eutrophication) and the significant changes in the lake maintenance (increased risk of eutrophication, excessive bottom sedimentation). Due to the real threat of gradual losing the lake water unique characteristics, scientifically-based systematic measures reducing the potential risk of eutrophication need to be implemented. The present study builds on the results of previous surveys by Geofyzika Brno, Povodí Ohře, s.p. or Hydroprojekt Praha. Its aim is to assess the potential risk of eutrophication in Alum Lake and to propose remedial measures.

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

A modeling approach to simulate impact of climate change in lake water quality: phytoplankton growth rate assessment

1998 ◽  
Vol 37 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Hany Hassan ◽  
Keisuke Hanaki ◽  
Tomonori Matsuo
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Growth Rate ◽  
Dissolved Oxygen ◽  
Lake Water ◽  
Phytoplankton Growth ◽  
Quality Data ◽  
Model Parameters ◽  
Lake Water Quality ◽  
Phytoplankton Growth Rate

Global climate change induced by increased concentrations of greenhouse gases (especially CO2) is expected to include changes in precipitation, wind speed, incoming solar radiation, and air temperature. These major climate variables directly influence water quality in lakes by altering changes in flow and water temperature balance. High concentration of nutrient enrichment and expected variability of climate can lead to periodic phytoplankton blooms and an alteration of the neutral trophic balance. As a result, dissolved oxygen levels, with low concentrations, can fluctuate widely and algal productivity may reach critical levels. In this work, we will present: 1) recent results of GCMs climate scenarios downscaling project that was held at the University of Derby, UK.; 2) current/future comparative results of a new mathematical lake eutrophication model (LEM) in which output of phytoplankton growth rate and dissolved oxygen will be presented for Suwa lake in Japan as a case study. The model parameters were calibrated for the period of 1973–1983 and validated for the period of 1983–1993. Meterologic, hydrologic, and lake water quality data of 1990 were selected for the assessment analysis. Statistical relationships between seven daily meteorological time series and three airflow indices were used as a means for downscaling daily outputs of Hadley Centre Climate Model (HadCM2SUL) to the station sub-grid scale.

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