Treatment and Analysis of Arsenic Contaminated Water

2021 ◽  
pp. 111-170
Keyword(s):  
River Flow ◽  
Arsenic Removal ◽  
Mass Spectrometric ◽  
Refining Industry ◽  
Contaminated Water ◽  
Volcanic Emissions ◽  
Natural Processes ◽  
Filtration Membrane ◽  
Flow Through ◽  
Monitoring Technologies

The presence of arsenic in as many as 245 minerals makes it an indispensable waste in the metal refining industry. Hydraulic fracturing, underground drilling, pesticides, herbicides, electronic industries are also linked to arsenic contamination. Natural processes such as volcanic emissions, hydrothermal ores, and river flow through arsenic rich sediments also contribute to arsenic contaminated water. The consumption of arsenic contaminated water leads to various types of cancer such as dermatological, respiratory, gastrointestinal, cardiovascular, hepatic, neurological, renal, and mutagenesis. Thus, remediation and testing of arsenic contaminated water becomes ubiquitous. Arsenic removal methods include precipitation, filtration, membrane technology and bioremediation. Quantitative arsenic analysis includes several colorimetric, luminescence, spectroscopic, atomic absorption, mass spectrometric and biosensor-based techniques. In this chapter, we present an overview of the various sources linked with arsenic contaminated water followed by a discussion on the available treatment and monitoring technologies for waterborne arsenic.

Treatment and Analysis of Arsenic Contaminated Water

2021 ◽  
pp. 111-170
Keyword(s):  
River Flow ◽  
Arsenic Removal ◽  
Mass Spectrometric ◽  
Refining Industry ◽  
Contaminated Water ◽  
Volcanic Emissions ◽  
Natural Processes ◽  
Filtration Membrane ◽  
Flow Through ◽  
Monitoring Technologies

The presence of arsenic in as many as 245 minerals makes it an indispensable waste in the metal refining industry. Hydraulic fracturing, underground drilling, pesticides, herbicides, electronic industries are also linked to arsenic contamination. Natural processes such as volcanic emissions, hydrothermal ores, and river flow through arsenic rich sediments also contribute to arsenic contaminated water. The consumption of arsenic contaminated water leads to various types of cancer such as dermatological, respiratory, gastrointestinal, cardiovascular, hepatic, neurological, renal, and mutagenesis. Thus, remediation and testing of arsenic contaminated water becomes ubiquitous. Arsenic removal methods include precipitation, filtration, membrane technology and bioremediation. Quantitative arsenic analysis includes several colorimetric, luminescence, spectroscopic, atomic absorption, mass spectrometric and biosensor-based techniques. In this chapter, we present an overview of the various sources linked with arsenic contaminated water followed by a discussion on the available treatment and monitoring technologies for waterborne arsenic.

Carbon nanotube-based electrocatalytic filtration membrane for continuous degradation of flow-through Bisphenol A

2021 ◽  
Vol 265 ◽  
pp. 118503
Author(s):  
Lei Zhao ◽  
Xinqi Zhang ◽  
Zhimeng Liu ◽  
Cheng Deng ◽  
Huimin Xu ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Bisphenol A ◽  
Filtration Membrane ◽  
Flow Through

Arsenic removal from contaminated water by ultrafine δ-FeOOH adsorbents

2014 ◽  
Vol 237 ◽  
pp. 47-54 ◽  
Author(s):  
Márcia C.S. Faria ◽  
Renedy S. Rosemberg ◽  
Cleide A. Bomfeti ◽  
Douglas S. Monteiro ◽  
Fernando Barbosa ◽  
...  
Keyword(s):  
Arsenic Removal ◽  
Contaminated Water

Darcy’s Experiments and the Deviation to Nonlinear Flow Regime

2000 ◽  
Vol 122 (3) ◽  
pp. 619-625 ◽  
Author(s):  
J. L. Lage ◽  
B. V. Antohe
Keyword(s):  
Flow Regime ◽  
Additional Data ◽  
Quadratic Extension ◽  
Nonlinear Flow ◽  
Data Set ◽  
Natural Processes ◽  
Darcy Equation ◽  
Flow Through ◽  
Cubic Extension ◽  
Consistent Parameter

Many important technological and natural processes involving flow through porous media are characterized by large filtration velocity. It is important to know when the transition from the linear flow regime to the quadratic flow regime actually occurs to obtain accurate models for these processes. By interpreting the quadratic extension of the original Darcy equation as a model of the macroscopic form drag, we suggest a physically consistent parameter to characterize the transition to quadratic flow regime in place of the Reynolds number, Re. We demonstrate that an additional data set obtained by Darcy, and so far ignored by the community, indeed supports the Darcy equation. Finally, we emphasize that the cubic extension proposed in the literature, proportional to Re3 and mathematically valid only for Re≪1, is irrelevant in practice. Hence, it should not be compared to the quadratic extension experimentally observed when Re⩾O1.[S0098-2202(00)01703-X]

scholarly journals Evaluation of modified montmorillonite with di-cationic surfactants as efficient and environmentally friendly adsorbents for arsenic removal from contaminated water

2017 ◽  
Vol 18 (2) ◽  
pp. 460-472 ◽  
Author(s):  
E. Shokri ◽  
R. Yegani ◽  
B. Pourabbas ◽  
B. Ghofrani
Keyword(s):  
Contact Time ◽  
Arsenic Removal ◽  
Environmentally Friendly ◽  
Contaminated Water ◽  
X Ray Diffraction ◽  
Solution Ph ◽  
Modified Montmorillonite ◽  
Adsorption Capacities ◽  
Modified Adsorbents ◽  
Adsorption Desorption

Abstract In this work, montmorillonite (Mt) was modified by environmentally friendly arginine (Arg) and lysine (Lys) amino acids with di-cationic groups for arsenic removal from contaminated water. The modified Mts were characterized by X-ray diffraction, Fourier transform infrared spectroscopy, zeta potential and thermal analysis. The adsorption of As(V) onto modified Mts as a function of initial As(V) concentration, contact time and solution pH was investigated. The removal efficiency was increased with increasing the As(V) concentration and contact time; however, it was decreased with increasing solution pH. The maximum As(V) adsorption capacities of Mt-Arg and Mt-Lys were 11.5 and 11 mg/g, respectively, which were five times larger than pristine Mt. The high adsorption capacity makes them promising candidates for arsenic removal from contaminated water. The regeneration studies were carried out up to 10 cycles for both modified Mts. The obtained results confirmed that the modified adsorbents could also be effectively used for As(V) removal from water for multiple adsorption – desorption cycles.

Lake Restoration of Arsenic Pollution by Manganese Ore

2013 ◽  
Vol 726-731 ◽  
pp. 1659-1663
Author(s):  
Ning Xin Chen ◽  
Yong Bing Huang ◽  
Jing Dong
Keyword(s):  
Removal Efficiency ◽  
Adsorption Process ◽  
Arsenic Removal ◽  
Freundlich Isotherm ◽  
Order Reaction ◽  
Contaminated Water ◽  
Manganese Ore ◽  
Arsenic Pollution ◽  
First Order ◽  
Acidic Conditions

Using manganese ore coated with small stones to adsorb arsenic from the contaminated water samples of Yangzonghai Lake, and several factors that may have impacts on the arsenic removal efficiency are analyzed. The result shows that the new adsorbent material has a great effect on arsenic removal. Temperature's effect on arsenic removal efficiency is not obvious. The arsenic removal efficiency increased dramatically in accordance with residence time within 0-660s, and then stabilized. The adsorption process is better when conducted in acidic conditions, the maximum adsorption rate reached 83.0% with the pH of 3.0 and it reached the minimum value of 14.7% when pH is 10. Fe3+ and Ca2+ can slightly promote manganese ore's adsorption of arsenic, and with anions CO32-, SiO32- , efficiency was slightly reduced. When fitting the kinetics data of arsenic removal by coated manganese ore, the adsorption process is correspondent with first-order reaction kinetics model. The adsorption isotherm is more close to the Freundlich isotherm model.

Methane Diffusion in a Porous Environment

2014 ◽  
Vol 353 ◽  
pp. 50-55 ◽  
Author(s):  
Pavel Staša ◽  
Vladimír Kohut ◽  
Oldřich Kodym ◽  
Zora Jančíková
Keyword(s):  
Fluid Dynamics ◽  
Geometric Model ◽  
Water Layer ◽  
Mining Activities ◽  
Natural Processes ◽  
First Case ◽  
Flow Through ◽  
Methane Diffusion ◽  
The Given ◽  
Methane Flow

The paper deals with modeling and simulation of methane flow through the porous environment using the CFD (Computational Fluid Dynamics) software Fluent. We compare three situations, which can occur in areas, where mining activities were closed few years ago, in this article. First case is modeling of methane flow through the rocks. Second event is situation where the thin water layer is situated at the surface. The last one is occurrence of groundwater. The article responds to the need for knowledge of natural processes in the given area and it follows our previous papers [1], [2]. Software Gambit was used for creating a geometric model of the working area, for modeling the flow of gas it was used CFD software, Fluent from ANSYS, Inc..

scholarly journals On the Transition From Creeping to Inertial Flow in Arrays of Cylinders

2010 ◽  
Author(s):  
K. Yazdchi ◽  
S. Srivastava ◽  
S. Luding
Keyword(s):  
Porous Media ◽  
Darcy’S Law ◽  
Computational Study ◽  
Darcy's Law ◽  
Natural Processes ◽  
Inertial Flow ◽  
Flow Through ◽  
High Reynolds ◽  
An Array Of Cylinders ◽  
Element Method

Many important natural processes involving flow through porous media are characterized by large filtration velocity. Therefore, it is important to know when the transition from viscous to the inertial flow regime actually occurs in order to obtain accurate models for these processes. In this paper, a detailed computational study of laminar and inertial, incompressible, Newtonian fluid flow across an array of cylinders is presented. Due to the non-linear contribution of inertia to the transport of momentum at the pore scale, we observe a typical departure from Darcy’s law at sufficiently high Reynolds number (Re). Our numerical results show that the weak inertia correction to Darcy’s law is not a square or a cubic term in velocity, as it is in the Forchheimer equation. Best fitted functions for the macroscopic properties of porous media in terms of microstructure and porosity are derived and comparisons are made to the Ergun and Forchheimer relations to examine their relevance in the given porosity and Re range. The results from this study can be used for verification and validation of more advanced models for particle fluid interaction and for the coupling of the discrete element method (DEM) with finite element method (FEM).

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