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

Quantifying Lake Water Quality Evolution: Coupled Geochemistry, Hydrodynamics, and Aquatic Ecology in an Acidic Pit Lake

2017 ◽  
Vol 51 (17) ◽  
pp. 9864-9875 ◽  
Author(s):  
S. Ursula Salmon ◽  
Matthew R. Hipsey ◽  
Geoffrey W. Wake ◽  
Gregory N. Ivey ◽  
Carolyn E. Oldham
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Aquatic Ecology ◽  
Pit Lake ◽  
Lake Water Quality

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.

Controls on pit lake water quality at sixteen open-pit mines in Nevada

1999 ◽  
Vol 14 (5) ◽  
pp. 669-687 ◽  
Author(s):  
Lisa Shevenell ◽  
Katherine A Connors ◽  
Christopher D Henry
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Open Pit ◽  
Pit Lake ◽  
Lake Water Quality ◽  
Open Pit Mines

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.

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.

THE AZNALCÓLLAR PIT LAKE – WATER QUALITY AND OPTIONS OF CONTROL

2006 ◽  
Vol 2006 (2) ◽  
pp. 1927-1935 ◽  
Author(s):  
Martin Schultze ◽  
◽  
Kurt Friese ◽  
Javier Sánchez ◽  
Enrique López
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Pit Lake ◽  
Lake Water Quality

POST-BETZE PIT LAKE WATER QUALITY PREDICTION, NEVADA

2006 ◽  
Vol 2006 (2) ◽  
pp. 1863-1886 ◽  
Author(s):  
William M. Schafer ◽  
Mark Logsdon ◽  
Guosheng Zhan ◽  
Ron Espell
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Quality Prediction ◽  
Pit Lake ◽  
Lake Water Quality ◽  
Water Quality Prediction

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.

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