Demineralization of Mine Water by Electrodialysis

2011 ◽  
Vol 378-379 ◽  
pp. 414-417 ◽  
Author(s):  
Jitka Hajduková ◽  
Jan Thomas ◽  
Petra Maliková ◽  
Jiří Vidlář
Keyword(s):  
Water Quality ◽  
Czech Republic ◽  
Water Treatment ◽  
Surface Water ◽  
Mine Water ◽  
Surface Water Quality ◽  
High Concentration ◽  
Dissolved Solids ◽  
Mine Water Treatment

This paper considers the demineralization of mine water using a lab-scale electrodialysis unit EDR-Z/10-1.0. Experiment were carried out on real mine water from Jeremenko water pit complex (DIAMO s.p., ODRA Ostrava branch, Czech Republic). These mine water greatly affect surface water quality, especially high concentration of dissolved solids, sulfates and chlorides. Aim of research was to treatment of mine water to quality corresponding with legislative limits for surface water. Electrodialysis tests were conducted in the batch and feed-and-bleed modes. It was demonstrated that electordialysis is good way for mine water treatment.

Variabilities of Surface Water Quality of Degraded Post-mining Areas in Bytom

2021 ◽  
Vol 23 ◽  
pp. 318-331
Author(s):  
Aleksandra Czajkowska ◽  
Łukasz Gawor
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Ph Value ◽  
Surface Water Quality ◽  
Water Hardness ◽  
Total Content ◽  
Mining Area ◽  
Physicochemical Analysis ◽  
High Concentration ◽  
Mining Areas

In the paper there is presented an evaluation of variability of surface water quality (reservoirs and watercourses), on the area of degraded post-mining area in Bytom. The physicochemical analysis of water and compared with archival data obtained in 2009 and 2014. There were done analysis of following parameters: reaction, total content of substances dissolved in water, water hardness and the content of: Cl-, SO42-, HCO3-, Ca2+, Mg2+, K+, Na+, NH4+, NO3-, NO2-, PO4- ions as well as Fe and Mn. The examined surface waters were characterised by high content of solutes. Anions were dominated by chlorides, the sodium proved to be the dominating cation, the examined water samples were characterised by high concentration of sulphates. In all analyzed reservoirs, permissible concentrations of chlorides and sulphates were exceeded. In all sample points there was observed a decrease of pH value in long term period, the concentration of chlorides lowered, however concentrations of sulphates increased in the majority of sampling points.

Evaluating the surface Water quality index fuzzy and its influence on water treatment

2019 ◽  
Vol 32 ◽  
pp. 100890 ◽  
Author(s):  
Mariângela Dutra de Oliveira ◽  
Oscar Luiz Teixeira de Rezende ◽  
Juliana Freitas Ramos de Fonseca ◽  
Marcelo Libânio
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality

scholarly journals Determinantes socioeconómicos de la calidad del agua superficial en México

2017 ◽  
Vol 29 (69) ◽  
Author(s):  
María Eugenia Ibarrarán Viniegra ◽  
Alfonso Mendoza Velázquez ◽  
Cristina Pastrana López ◽  
Erika Jazmín Manzanilla Interian
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Economic Activity ◽  
National Development ◽  
Surface Water Quality ◽  
Economic Determinants ◽  
Water Treatment Plants ◽  
Politica Publica ◽  
Different Levels

Resumen: la calidad y la disponibilidad de agua de los ríos en México son cruciales para el desarrollo regional y nacional, pero tienen problemas graves; en 2006, 74 por ciento de las aguas superficiales tenía grados diferentes de contaminación. El objetivo de esta investigación es identificar la influencia de algunas variables socioeconómicas en la calidad del agua superficial en las regiones hidrológicas administrativas, y proponer acciones para mejorarla. Según el análisis econométrico, la actividad económica y la densidad poblacional perjudican la calidad del agua superficial en dichas regiones. Es poco el efecto del aumento de las plantas de tratamiento de agua en cuanto a la contaminación; el incremento en el caudal tratado es contraproducente para la calidad del agua. Estos elementos presentan aspectos importantes para ser abordados por las políticas públicas.Palabras clave: agua superficial; calidad del agua; contaminación de ríos; cuencas hidrológicas; plantas de tratamiento de agua; política pública; modelos econométricos. Socio-economic determinants of surface water quality in MexicoAbstract: the quality and availability of water in Mexican rivers is critical for regional and national development, but they pose serious problems. In 2006, 74 percent of the surface water in Mexico had different levels of pollution. The objective of this research is to identify the influence of socioeconomic variables in surface water quality on each of the hydrological-administrative regions (hars) and to propose actions in order to improve its quality. After an econometric analysis, results show that surface water quality in the different hars is affected by economic activity and population density. On the other hand, the increase of water treatment plants has little impact on reducing water pollution and the increase of treated water shows a counterproductive effect on water quality. All of these aspects should be considered when designing public policy.Key words: surface water; water quality; pollution of rivers; water basins; water treatment plants; public policy; econometric models.

Development of a predictive model to determine the temporal variability in mine feed water quality towards informing and forecasting plant operating strategy – a South African coal mine water treatment plant case study

2016 ◽  
Vol 11 (3) ◽  
pp. 621-633
Author(s):  
J. Nathoo ◽  
E. Hong Gay ◽  
N. Hussain
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Coal Mine ◽  
Mine Water ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Feed Water ◽  
Unsteady State ◽  
Mine Water Treatment ◽  
Brine Treatment

The feed water quality associated with mine water treatment is typically characterised by a dynamic variability resulting from the fact that the final feed water to the water treatment plant (WTP) can be an amalgamation of water streams emanating from a number of sources. Consequently, the ability to deal with the dynamic nature of the feed water quality towards successful and sustainable mine water treatment goes beyond a proactive approach and requires a systemic, predictive approach. This paper discusses the development of an unsteady state mass balance model on a surface dam located on a coal mine towards predicting the dynamic fluctuations in total dam volume and its total dissolved solids (TDS) concentration in the feed water to a NuWater 20 MLD mobile WTP, comprising chemical conditioning, ultrafiltration and reverse osmosis (RO). The unsteady state mass balance, incorporated water entering the dam via the opencast pits, underground compartments, seasonal rainfall and the RO brine return. Water leaving the dam comprised the feed water to the WTP, partial brine treatment, surface evaporation and seepage. Validation of the model using actual data over an 8-month period showed excellent results. The model showed that without water treatment, the dam would overflow in 218 days. Although the dam's volume could be sustained at the ideal volume by treating 14.2 MLD, its TDS would exceed the maximum environmental limit in 197 days. Consequently, the combination of a 13.2 MLD WTP with a 1 MLD brine treatment plant provided the optimal water treatment strategy to sustainably maintain the dam's TDS concentration and volume within acceptable limits over the 5-year investigation period. This paper demonstrates the importance of using a predictive methodology for forecasting feed water characteristics and as an early warning system for most water treatment systems that are subjected to dynamic conditions.

Study on the Technology for Underground Treatment of XingFu Mine Water

2013 ◽  
Vol 684 ◽  
pp. 222-225
Author(s):  
Jia Ping Wang ◽  
Tao Mei
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Mine Water ◽  
Underground Mine ◽  
Industrial Water ◽  
Settling Pond ◽  
Mine Water Treatment ◽  
The Cost ◽  
Operation Cost

According to the XingFu mine's water quality, put forward a technology for mine water underground treatment. Changing original underground mine water sump into complex settling pond. Estimate the investment and the operation cost of the underground mine water treatment project. The result shows that: the cost of the underground mine water treatment is only 1.1172 yuan per ton, saving about 2 yuan per ton compare with the price of industrial water. This prove that it is feasible and saving for underground mine water treatment in XingFu mine.

scholarly journals Potential Post-Fire Impacts on a Water Supply Reservoir: An Integrated Watershed-Reservoir Approach

2021 ◽  
Vol 9 ◽  
Author(s):  
Marta Basso ◽  
Marcos Mateus ◽  
Tiago B. Ramos ◽  
Diana C. S. Vieira
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Chlorophyll A ◽  
Assessment Tool ◽  
Surface Water Quality ◽  
Curve Number ◽  
Reservoir Model ◽  
High Concentration ◽  
Model Soil ◽  
Catchment Model

Wildfires are an increasing threat in the Mediterranean region, causing frequent losses of goods and human lives. Not only are wildfires a concern due to their immediate effects on vegetation and soil, but they can also have substantial impacts on surface water quality. Approximately one-third of the world’s largest cities obtain their drinking water from forest catchments. The removal of vegetation and consequent runoff increase with a high concentration of ash and sediment often leads to increased nutrient and contaminant loads to downstream reservoirs, damaging the aquatic ecosystem and threatening human health. This study focused on the post-fire degradation of surface water in Castelo de Bode reservoir, a strategic freshwater supply for Lisbon’s metropolitan area (2,000,000 inhabitants), Portugal. Output data from the catchment model Soil and Water Assessment Tool were used as inputs to the CE-QUAL-W2 reservoir model. CE-QUAL-W2 was then calibrated for water level, temperature, nutrients, total suspended solids, chlorophyll-a, and dissolved oxygen. The post-fire impacts were assessed by adjusting land use features (curve number, crop vegetation management factor), and soil properties (soil erodibility) in the catchment model, considering the different impacts of fire (low, medium, and high severity). The reservoir model was able to perform temperature seasonality and stratification while a weak performance was found for chlorophyll-a probably for having considered only a group of algae. Simulations showed a deterioration of water quality at the dam wall during the first year after the forest fire. Nevertheless, contamination did not appear worrisome with regards to water quality standards likely due to the capability of the reservoir to attenuate inflow concentrations.

Impact of Raw Water Ammonia on the Surface Water Treatment Processes and Its Removal by Nitrification

1970 ◽  
Vol 24 (2) ◽  
pp. 85-89 ◽  
Author(s):  
M Alamgir Hossain ◽  
ANM Fakhruddin ◽  
Sirajul Islam Khan
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Removal Rate ◽  
Treatment Plant ◽  
Ammonia Removal ◽  
Raw Water ◽  
High Concentration ◽  
Treated Water ◽  
Treatment Processes

Impact of raw water ammonia on the treated water quality and removal of ammonia from surface water were studied. Raw water ammonia and physicochemical quality of treated water of Saidabad Water Treatment Plant were analyzed for the period of one year (January through December 2006). The monthly averages of maximum (7.55 mg/l) and minimum (0.34 mg/l) ammonia-N level of the raw water were recorded in March and September 2006 respectively. During dry season raw water containing high concentration of ammonia reacted with chlorine at pre-chlorination step of treatment processes and disrupted the total treatment system. It was found from the study that when the concentration of ammonia was high in raw water the aesthetic characters such as turbidity, colour, taste, odour, alkalinity, total dissolved solids (TDS), conductivity, total chlorine etc. of the treated water were changed significantly. Chemical consumption is increased as a result water treatment costs is increased. To mitigate the above problems of the treated water nitrification was used for the removal of ammonia from raw water. Ammonia removal rate was monitored with some other water quality parameters during the study. In the nitrification process ammonia was removed from raw water very effectively, i.e., maximum about 98% raw water ammonia was removed during the study. Additionally other water quality factors were improved significantly.Keywords: Raw water, Treated water, Raw water ammonia, Water quality, NitrificationDOI: http://dx.doi.org/10.3329/bjm.v24i2.1249 Bangladesh J Microbiol, Volume 24, Number 2, December 2007, pp 85-89

The variability of surface water quality indicators in relation to watercourse typology, Czech Republic

2011 ◽  
Vol 184 (6) ◽  
pp. 3983-3999 ◽  
Author(s):  
Jakub Langhammer ◽  
Filip Hartvich ◽  
Daniel Mattas ◽  
Sylva Rödlová ◽  
Aleš Zbořil
Keyword(s):  
Water Quality ◽  
Czech Republic ◽  
Surface Water ◽  
Quality Indicators ◽  
Surface Water Quality ◽  
Water Quality Indicators

scholarly journals Seasonal variation of water quality and waste loads in Buriganga river with GIS visualization

2020 ◽  
Vol 55 (2) ◽  
pp. 113-130
Author(s):  
MK Alam ◽  
MA Uddin ◽  
MF Satter ◽  
N Majed
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Municipal Wastewater ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Dry Season ◽  
Water Quality Parameters ◽  
High Concentration ◽  
Wet Season ◽  
Buriganga River

Pollution status of the Buriganga river has been assessed in this study using GIS tool to analyze the spatial and seasonal distribution of several water quality parameters from six surface water sampling stations. In addition, characterization of water quality from certain selected outfalls discharging wastewater along the river was accomplished as well. The observed surface water quality concentration was higher during dry season for BOD5 (13.68-22.8 mg/l), COD (22-30 mg/l), TDS (280- 303 mg/l), PO4(5.6- 7.3 mg/l) while an exception was found for NH3-N (0.67- 0.89 mg/l) and Turbidity (25.19 to 91.18). The DO level was found noticeably lower during dry season (1.73 to 2.36 mg/l) than wet season (3.27 to 4.68 mg/l). Moreover, Principal Component Analysis identified high ionic distributions during wet season and more organic pollution during dry season. Water quality parameters TDS, TSS, EC and COD were obtained in high concentration levels from industrial outfalls towards the downstream of the river while BOD5, NH3-N were higher from municipal wastewater outfalls towards the upstream of the river. The observed pollution loading from the outfalls revealed the location at Dholaikhal as the major pollution source in the river with a BOD5 (11681- 12243 kg/day) and TDS (9749- 32348 kg/day) loading. Accordingly, influence of nearest wastewater sources on the surface water quality was evident through GIS representation of the parameters. Bangladesh J. Sci. Ind. Res.55(2), 113-130, 2020

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