Научная статья на тему 'Analytical evaluation of the amount of extracted quantities of sorbate and sorbent dynamic capacity under sorption purification of flow solutions'

Analytical evaluation of the amount of extracted quantities of sorbate and sorbent dynamic capacity under sorption purification of flow solutions Текст научной статьи по специальности «Науки о Земле и смежные экологические науки»

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Ключевые слова
ADSORPTION CAPACITY / POLLUTANTS / LAMINAR FLOW OF SOLUTIONS / β-SPLINE CURVES / АДСОРБЦИОННАЯ СПОСОБНОСТЬ / ЗАГРЯЗНЯЮЩИЕ ВЕЩЕСТВА / ЛАМИНАРНЫЙ ПОТОК РАСТВОРОВ / β-СПЛАЙНОВЫЕ КРИВЫЕ

Аннотация научной статьи по наукам о Земле и смежным экологическим наукам, автор научной работы — Vigdorovich V.I., Zhukovskaya T.V., Tsygankova L.E., Esina M.N., Shel N.V.

Предложен расчетный метод оценки количества вещества адсорбата N и динамической емкости сорбента Q в условиях очистки от загрязнителей проточных растворов. Рассмотренные подходы действительны при использовании сорбентов и удалении сорбатов любой природы из проточных сред независимо от величины линейной и соответственно объемной скоростей потока элюата в условиях ламинарного течения жидкости. Классическая кинетическая кривая сорбции в самом общем виде включает три временных участка от начала процесса: интервал времени, в котором адсорбат отсутствует в растворе, выходящем из адсорбера; временной интервал, в котором коэффициент сорбции ρτi, равный ( С 0 С τi )/ С 0, является функцией τ i, величина ρτi систематически снижается с ростом τ i от начала процесса. Соответственно возрастает концентрация загрязнителей в растворах, выходящих из адсорбера; интервал времени с ρτi, равным нулю, когда динамическая емкость сорбента при заданной линейной скорости потока через адсорбер полностью насыщена. Особенность предлагаемого подхода возможность его использования независимо от вида и сложности функции ρτi = f (τ i ) при постоянной линейной скорости потока и других условиях ведения процесса. Способ позволяет рассчитать величины N и Q к любому моменту времени от начала сорбции при отсутствии экспериментальной оценки величины ρτi ; оценить рассчитанное время непрерывной работы сорбента до его замены или регенерации. Он основан на использовании β-сплайновых кривых, что базируется на свойствах геометрической непрерывности, используемых при решении задач геометрического моделирования посредством кубических многочленов.

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A calculation method for the evaluation of the amount of adsorbate (N) and the dynamic capacity of the sorbent (Q) under conditions of purification from pollutants of flow solutions is proposed. The considered approaches are valid when using sorbents and removing sorbates of any nature from flow media, regardless of the linear flow rate and, respectively, volume flow rates of the eluate under laminar flow conditions. The classical kinetic curve of sorption in its most general form includes three time intervals from the beginning of the process: the time interval in which the adsorbate is absent in the solution flowing from the adsorber; the time interval in which the sorption coefficient ρτi equal to ( С 0С τi )/С0, where C 0 and C τ i , respectively, are the pollutant concentrations in the initial solution, and by the time τ i is a function of τ i, and the value ρτ i decreases systematically with increasing τ i from the beginning of the process. Accordingly, the concentration of pollutants in solutions leaving the adsorber increases. time interval with ρτ i equal to zero, when the dynamic capacity of the sorbent at a given linear flow rate through the adsorber is completely saturated. The approach proposed in the article is possible to use regardless of the type and complexity of the function ρτ i = f (τ i ) at a constant linear flow rate and other process conditions. The method allows: calculating the values of N and Q at any time from the beginning of the sorption in the absence of an experimental estimate of the value ρτ i ; evaluating the calculated time of continuous operation of the sorbent before its replacement or regeneration. It is based on the use of β-spline curves, which in turn is based on the properties of geometric continuity, used in solving problems of geometric modeling by means of cubic polynomials.

Текст научной работы на тему «Analytical evaluation of the amount of extracted quantities of sorbate and sorbent dynamic capacity under sorption purification of flow solutions»

DOI: 10.17277/amt.2017.03.pp.061-066

Analytical Evaluation of the Amount of Extracted Quantities of Sorbate and Sorbent Dynamic Capacity under Sorption Purification of Flow Solutions

V.I. Vigdorovich1,2, T.V. Zhukovskaya2, L.E. Tsygankova3*, M.N. Esina3, N.V. Shel2

1 All-Russian Scientific Research Institute for the Use of Machinery and Petroleum Products in Agriculture 2 Tambov State Technical University, 106, Sovetskaya St., Tambov, 392000, Russia 3 G.R. Derzhavin Tambov State University, 33, Internatsionalnaya St., Tambov, 392000, Russia

* Corresponding author: Tel.: +7 (4752) 72 36 55. E-mail: vits21@mail.ru

Abstract

A calculation method for the evaluation of the amount of adsorbate (N) and the dynamic capacity of the sorbent (Q) under conditions of purification from pollutants of flow solutions is proposed. The considered approaches are valid when using sorbents and removing sorbates of any nature from flow media, regardless of the linear flow rate and, respectively, volume flow rates of the eluate under laminar flow conditions.

The classical kinetic curve of sorption in its most general form includes three time intervals from the beginning of the process:

- the time interval in which the adsorbate is absent in the solution flowing from the adsorber;

- the time interval in which the sorption coefficient pxi equal to (C0-Cxi)/C0, where C0 and CTi, respectively, are the pollutant concentrations in the initial solution, and by the time t, is a function of t,, and the value pxi decreases systematically with increasing t, from the beginning of the process. Accordingly, the concentration of pollutants in solutions leaving the adsorber increases.

- time interval with pxi equal to zero, when the dynamic capacity of the sorbent at a given linear flow rate through the adsorber is completely saturated.

The approach proposed in the article is possible to use regardless of the type and complexity of the function pxi = fx,) at a constant linear flow rate and other process conditions.

The method allows:

- calculating the values of N and Q at any time from the beginning of the sorption in the absence of an experimental estimate of the value pxi;

- evaluating the calculated time of continuous operation of the sorbent before its replacement or regeneration.

It is based on the use of p-spline curves, which in turn is based on the properties of geometric continuity, used in solving problems of geometric modeling by means of cubic polynomials.

Keywords

Adsorption capacity, pollutants, laminar flow of solutions, p-spline curves.

The adsorption capacity of natural clay minerals [1-20] and bioproducts [21] is systematically investigated for the purpose of using them as sorbents for purification of drinking, process and waste waters and bioindication of biosphere purity [21].

However, in the overwhelming majority of cases, the sorption of pollutants is studied under static conditions that allows one to evaluate the equilibrium depth of the process, its thermodynamic

© V.I. Vigdorovich, T.V. Zhukovskaya, L.E. Tsygankova, M.N. Esina, N.V. Shel, 2017

characteristics, and the most probable type of adsorption isotherm [1-17].

Studies of the sorption of pollutants from flowing solutions are much less frequent [18-20], although the regularities of the process in both cases differ significantly.

For practice, the most important is the dynamic mode because it allows creating a continuous technological process.

Earlier [22], we considered the case of calculating the amount of pollutant material and the specific dynamic capacity of the sorbent, when the sorption process in the particular form was transferred by a kinetic curve expressing the dependence p = /(t) shown in Fig. 1 (curve 1).

The value of p in terms of physical meaning is the sorption coefficient, which is equal to the ratio of the difference of concentrations of sorbate in the initial solution C0 and at the given current moment t, (CT i) to its initial value. The value of t, is the time from the beginning of the sorption.

PT,i = (Co - CXJ)/Co (1)

or

Ct = co(1 - Pv) Thus, in terms of physical meaning, pTi is the fraction of pollutant extracted by the adsorbent from the solution at the time moment t, from the beginning of the process

The kinetic curve in the most general form in this examination includes three distinct regions.

A complete sorption removal of the sorbate takes place on the AC region of the kinetic curve. When the time tc is reached, its breakthrough begins. The MN line, parallel to the abscissa axis, characterizes the value of Tr, i.e. the time to which the concentration of pollutant in the solution leaving the adsorber does not exceed the regulatory requirements.

The principal feature of the kinetic curve 1 (Fig. 1) is that in the CD region the value of pTi is a linear function of t,. A similar picture is observed relatively often [18-20], but still has a private character. If the coordinates of the characteristic points C (p = 1) and D (p = 0) are taken into account, one can obtain the expression for (1) [22], and then calculate the amount of substance (N) of the absorbed pollutant and the dynamic capacity of the sorbent Q by the time point t, in the CD region from the beginning of the process, including to the Tr.

in the CD region

There is no sorption in the DE region, since the dynamic capacity is saturated. Then the total value of N and Q by the time moment td are found by summing the corresponding values of N and Q of the AC and CD regions, in particular:

N = Nac + Ncd

Qt = Qac+ Qcd

However, in the general case, the dependence p = /(t) in the AC region can have a more complex form (curve 2, Fig. 1). Its character is sometimes even more complicated. In this case, the proposed approach is inappropriate.

We consider a more general case of the form of the dependence

pv = ^^

for example, represented by curve 2, Fig. 1. Further complication of the form of the kinetic curve of sorption will not result in substantial changes.

It is of fundamental importance to estimate the value of pr, which can be found by calculation using Eq. (1). It should be noted here that pr is not a constant for the pollutant in question, but depends on its initial concentration C0. In other words, it should be written

pr = (C - MPCw)/C0, where MPCw is maximum permissible concentration of pollutant in water. Then we have

pr = 1 - MPCw / Q. Consequently, the higher C0, the greater is pr.

The amount of substance (N) sorbed by the adsorbent for a certain time interval from T1 to T2 can be obtained from the dependence:

N = d (1 -p(T )), (2)

where C0 is determined earlier in the appropriate units, for example, mol/L, and V is the volume of the solution that passed through the adsorber in the considered time interval. Taking into account the properties of the integrals in integrating equation (2), we have:

N=- q>v(px,2 - px,1). (3)

Since there is always the dependence

pT,2 ^ px,b

then the value N can only be positive and/or equal to zero, which corresponds to its physical meaning. In the latter case, there is no adsorption. The following discussion is related to the kinetic curve of sorption shown in Fig. 2.

Let the points A, B, C, D, E, F and M correspond to the times from the beginning of the sorption xA, xB, tc, td, xE, xF, xM, shown on the abscissa, and sorption coefficients pA, pB, pc, pD, pE, pF, pM. In this case, PA = pB = 1 is complete sorption, no breakthrough. pM = 0 - sorption discontinued due to the dynamic saturation capacity. Consequently, inequality 1 < pB, pc, pD, pE, pF < 0 is observed, and in the direction from pB to pF the value of p, decreases. The amount of absorbed sorbate by the sorbent material in the time interval from the start of the sorption to xB is equal to

nab = c0vab,

in time intervals xB - xc, xc - xD, xD - xE, xE - xF, xF -xM, according to (2), it is respectively equal to:

nbc = - c0vbc(pc - pb);

ncd = - c0vcd(pd - pc);

nde = - c0vde(pe - pd);

nef = - c0vef(pf - pe);

Nfm = - c0vfm(pm - - pf);

Suppose that for a constant linear flow rate, the time intervals x, - xi+1 are equal, then V, is a constant value.

If this condition is satisfied Ns = NAM is equal to

N = QV - C0V(pc - pb) - q,V(pD - pc) - QV(pE -

- pD) - C0V(pF - pE) - C0V(pM - pF).

N = QV(1 +pb - pm). (4)

Since pM= 0, then finally we have N = QV(1 +pb). Total specific dynamic capacity Q^ is Qr = NjJm.

and

CV

Ql = CsL (1 + pb). m

If the value V in the time interval under consideration is not constant, then to find Q^, it is necessary to sum Q, of all time intervals, i.e.:

Ql= I ,=10. (5)

Since for each pollutant there is a certain normative-permissible concentration in the solution flowing from the adsorber, which is convenient to express as pr (Fig. 1), it is expedient to calculate the specific dynamic capacitance of the sorbent up to the value of pr.

Then equation (4) is transformed into (6) (V = const):

N = QV(1 + pb - pr) (6)

T

Fig. 2. Schematic view of the kinetic curve of sorption

In a number of process problems, it is necessary to know the specific dynamic capacity of the sorbent at a certain given time point, for example xr. Knowledge of such quantities determines the duration of continuous operation of adsorbers before the replacement or regeneration of the sorbent, the cyclic control of the eluate flowing from it. In this case, it is necessary to know either the form of the kinematic curve function for the entire sorption period, which is practically impossible in the case of complex dependences of p, = f(x,), or know it at different time intervals. If it is known to which interval of time x, - x,+1 refers the time of interest of the adsorber work and the form of the function p, = f(x,) in this region, then we can estimate p, to a given moment from the beginning of the sorption.

Let us consider a similar approach, when p, is known for more than four values of x,. The technique is based on the use of p-spline curves, which in turn is based on the properties of geometric continuity and smoothness of the used solutions of geometric modeling tasks by cubic polynomials [23].

To this end, a curve passing through all points (the interpolation task) is constructed from a given array of experimental points, in our case with the coordinates p, and x, (Table 1).

The technique uses p-splines, while the use of composite p-spline curves is based on the property of geometric continuity and smoothness. In the construction of a composite regular curve, an important role is played by the conjugation condition at the points of contact of segments of regular curves smoothed by it.

Typically, interpolation uses cubic or linear splines. As further calculations showed, the functional dependence on each time interval is close to linear: the coefficients for the second and third powers of the variable x are relatively small. However, to ensure the smoothness of interpolants (continuity of the first and second derivatives), it is expedient to use a cubic spline.

Table 1

The coordinates of the experimentally obtained points

No t, min, from the beginning of sorption P

1 0.0 1.00

2 10.0 1.00

3 20.0 1.00

4 32.5 0.92

5 40.0 0.78

6 45.0 0.63

7 50.0 0.43

8 55.0 0.10

9 58.0 0.00

10 (50.0 ations0.00

11 65.0 0.00

12 70.0 0.00

In the first two time intervals, p remains constant and equal to 1, i.e. adsorbate is extracted completely, at the last two intervals p = 0, since sorption ceases due to the saturation of the dynamic capacity of the sorbent. In the remaining intervals of time, it is necessary to interpolate the regions of dependence by a cubic spline, which is a twice continuously differentiable function in the time interval from 20 to 60 min of sorption.

At each elementary time interval (Table 1) [t, - Ti+1], where i = 3, ..., 9, the empirical functional dependence is interpolated by a cubic parabola

p = yt = a(T - T')3 + b'(T - T')2 + C'(t - T') + d. (7)

Parabola coefficients ai, bi, ci, di (7) at each time interval are determined from the following conditions:

1) interpolation, i.e. matches in nodes

y (Ti) = Pi, y (Ti+1) = Pi+1, i - from 3 to 9;

2) smooth joining

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y'(Ti ) = y'i-1 (Ti), i - from 4 to 9;

3) continuity of the second derivative at the interpolation nodes (experimental points)

y!{*i ) = yh (Ti), i - from 4 to 9;

4) boundary conditions determined by the nature of the experimental problem

y1 (T1 ) = 0, y9 (T10 ) = 0.

Substituting the data of the second and third columns of Table 1 in the analytical expressions of the four conditions listed above, we make up four equations for seven time intervals from [t3; t4] to [t9; t10], and arrive at a system of 28 linear algebraic equations with 28 unknowns, which we solve by the Gauss method, using the Gauss-Jordan Elimination Calculator [25].

To write the equations corresponding to the intervals of the interpolation curve, the calculated values of the constants ai, bi, ci and di are substituted into equation (7).

The obtained equations for the time intervals of the interpolation curve for the task solved in this case are collected in Table 2.

The form of the kinetic curve of sorption (P-spline) corresponding to its interpolation equations generalized in Table 2 is shown in Fig. 3.

Table 2

The time intervals from the beginning of the sorption and the corresponding equations of the interpolation curve

No t, min p, unit fraction Time interval [t; Ti+1] Equation of interpolation curve

1 0 1.00 [0; 10] p = 1

2 10 1.00 [10; 20] p = 1

3 20 1.00 [20; 32.5] p = - 0.0005(T - 20)2 + 1

4 32.5 0.92 [32.5; 40] p = 0.00053(T - 32.5)2 - 0.0129(T - 32.5) + 0.92

5 40 0.78 [40; 45] p = 0.0001(T - 40)3 - 0.0013(T - 40)2 - 0.00263(T - 40) + 0.78

6 45 0.63 [45; 50] p = - 0.0004(T - 45)3 + 0.0003(T - 45)2 - 0.0311(t - 45) + 0.63

7 50 0.43 [50; 55] p = 0.0009(T - 50)3 - 0.0058(T - 50)2 - 0.0591(t - 50) + 0.43

8 55 0.1 [55; 58] p = - 0.0003(T - 55)3 + 0.0077(T - 55)2 - 0.0502(T - 55) + 0.1

9 58 0.01 [58; 60] p = - 0.0006(T - 58)3 + 0.0049(T - 58)2 - 0.0124(t - 58) + 0.01

10 60 0.00 [60; 65] p = 0

11 65 0.00 [65; 70] p = 0

12 70 0.00

Earlier it was shown that the amount of the substance (N) of the sorbed pollutant for a certain time interval from t1 to t2 can be obtained from the dependence (2), which is easily transformed upon integration into (3). We consider an example of calculation of value p to the specified moment of time. Let it be necessary to find the specific dynamic sorption capacity used for 53 minutes of operation of the adsorber with sorbent mass m in accordance with the data of Table 2. The specified time corresponds to a time interval with interpolation equation

pspec = 0.0009(x - 50)3 - 0.0058(x - 50)2 -

- 0.0591(x - 50) + 0.43.

We substituting in it the specified time

pspec = 0.0009(53 - 50)3 - 0.0058(53 - 50)2 -

- 0.0591(53 - 50) + 0.43;

Pspec = °.225.

The specified time in accordance with the curve in Fig. 3 is in the time interval tf- tm. If the value V in all time intervals is constant, Qinitial is calculated from a dependence of the type (4), where pspec is used instead of pM:

_C0V

Qspec (1 + pb - pspec).

m

In this particular case (Fig. 2) we have

C0V

Qspec (2 — pspec),

m

Qspec = 1.775C0V/m.

If V is not a constant, equation (5) is used.

Thus, using the P-spline method, we can calculate Pi and Q, at any time from the beginning of the sorption.

The proposed approaches are not related to the nature of the sorbate and sorbent, its mass, the number of pollutants simultaneously sorbed from the solution, and its linear rate.

The total dynamic capacity of the sorbent of several sorbed pollutants at a specified time is found by summing Q, of each i-sorbate.

At the same time, we note the following. When solving real technological problems, it is necessary to distinguish between the influence of the linear flow rate on at least two characteristic parameters of the sorbent in relation to the pollutants under consideration. First, the sorption capacity of ecotoxicants corresponding to their detection, even in trace amounts, in solutions emerging from the adsorber, which is determined by the sensitivity of the method of analysis used.

Secondly, it is necessary to estimate the specific dynamic capacity to the level of the breakthrough corresponding to the concentration of pollutants permitted by regulatory documents. The second value, as shown above, depends not only on the physical, chemical and physical-chemical characteristics of ecotoxicants, but also on their toxicological activity.

In addition, as noted above, the proposed method is valid both for sorption purification from one and at the same time several ecotoxicants, the concentrations of which in the initial solution and solution leaving the adsorber can be determined by independent methods or in a single analysis, for example, by X-ray fluorescence spectroscopy. It is applicable to the sorption removal of pollutants of any nature, using both natural and synthetic sorbents for the laminar flow of solutions passing through the adsorber.

The research was supported by the grant of the President of the Russian Federation to the leading scientific schools of the Russian Federation (NS 9730.2016.11)

References

1. Srivastava P., Singh B., Angove M. Competitive adsorption behavior of heavy metals on kaolinite. J. Coll. Interface Sci. 2005. Vol. 290, Issue 1, pp. 28-38.

2. Singh K. K., Rastogy R., Hasan S. H. Removal of Cr(VI) from wastewater using rice bran. J. Coll. Interface Sci. 2005. Vol. 290, Issue 1, pp. 61-68.

3. Egirany D.E., Baker A.R., Andrews J.E. Copper and zinc removal from aqueous solution by mixed mineral systems: I Reactivity and removal kinetics. J. Coll. Interface Sci. 2005, Vol. 291, Issue 2, pp. 319-325.

4. Zhao J., Zhy Y. J., Wu J., Zheng J.-O., Zhao X.-Yu., Lu B.-Q., Chen F. Chitosan-coated mesoporous microspheres of Calcium cilicate hydrate: Environ-metally friendly synthesis and application as a highly efficient adsorbent for heavy metal ions Original Research Article. J. Coll. Interface Sci. 2014, Vol. 418. Issue 1, pp. 208-215.

5. Teutli-Sequeira A., Solache-Ríos M., Martínez-Miranda V., Linares- Hernández I. Comparison of aluminium modified natural materials in the removal of fluoride ions. J. Coll. Interface Sci. 2014, Vol. 418, Issue 1, pp. 254-260.

6. Liu B., Lu J., Xie Yu., Yang B. Wang X., Sun R. Microwave-assistedmodification on montmorillonite with ester-containing Gemini surfactant and its adsorption behavior for triclosan Original Research Article. J. Coll. InterfaceSci. 2014, Vol. 418, Issue 1, pp. 208-215.

7. Goldovskaja-Peristaja L.F., Volovicheva H.A., Vezencev A.I., Peristyj V. A. Izoterma sorbcii ionov stroncija montmorillonit- gidrosljudnymi glinami [Isotherm of sorption of strontium ions by montmorillonite-hydromic clays]. Sorbcionnye i hr omatogr afiche skie processy

[Sorption and chromatographic processes], 2011, Vol. 11, Issue 2, pp. 165-171. (Rus)

8. Dudareva G.N., Petuhova G.N., Nguen A.T.N., Syryh Ju.S. Issledovanie sorbcii ionov nikelja (II) na uglerodnyh sorbentah [Study of sorption of nickel (II) ions on carbon sorbents]. Fizikohimija poverhnosti i zashhita materialov [Physicochemistry o/ the surface and protection o/materials], 2013, Vol. 49, Issue 4, pp. 389-396. (Rus)

9. Vigdorovich V.I., Cygankova L.E., Filippova O.B., Shel' N.V., Esi-na M.N., Frolov A.I. Glaukonit kak jekologicheski bezopasnyj sorbent dlja umjagchenija pit'evoj i pitatel'noj kotel'noj vody [Glauconite as an environmentally friendly sorbent for softening the drinking and boiler water]. Himicheskaja tehnologija [Chemical Technology], 2016, Vol. 17, Issue 3, pp. 129-137. (Rus)

10. Belenova S.V., Vigdorovich V.I., Shel' N.V., Cygankova L.E. Sorb-cionnaja sposobnost' prirodnyh sorbentov [Sorption capacity of natural sorbents]. Vestnik Tambovskogo universiteta. Serija: Estestvennye i tehnicheskie nauki [Bulletin of Tambov University. Series: Natural and Technical Sciences], 2015, Vol. 20, Issue 2, pp. 388-396. (Rus)

11. Vigdorovich V.I., Tsygankova L.E., Shel N.V., Esina M.N. Ocenka udel'noj dinamicheskoj emkosti sorbenta pri sorbcii iz protochnyh rastvorov [Estimation of the specific dynamic capacity of the sorbent during sorption from flowing solutions]. In Materials o/ the XIIInternational scientific and practical con/erence "Cutting-edge science -2016". Sheffield. Science and education LTD. 2016, Vol. 15, pp. 30-33.

12. Pomazkina O.I., Filatova E.G., Pozhidaev Ju.N. Adsorbcija ionov medi (II) gejlanditom kal'cija [Adsorption of copper ion (II) by calcium heulandite]. Fizikohimija poverhnosti i zashhita materialov [Physicochemistry o/ the sur/ace and protection o/materials], 2015, Vol. 51, Issue 4, pp. 370-374. (Rus)

13. Chernjakova R.M., Kajsynbaeva R.A., Kozhabekova N.N., Sultanbaeva G.Sh., Ermakova K.E., Dzhusinbekov U.Zh. Zakonomernosti sorbcii medi prirodnym glaukonitom [Laws of sorption of copper by natural glauconite]. Izvestija nacional'noj akademii nauk Respubliki Kazahstan. Serija himii i tehnologii [Bulletin o/ the National Academy o/ Sciences o/ the Republic o/ Kazakhstan. Series o/ Chemistry and Technology], 2016, Issue 2, pp. 115-122. (Rus)

14. Ramazanov A.Sh., Esmail G.K., Sveshnikova D.A. Kinetika i termodinamika sorbcii ionov tjazhelyh metallov na montmorillonitsoderzhashhej gline [Kinetics and thermodynamics of sorption of heavy metal ions on montmorillonite-containing clay]. Sorbcionnye i hromatogra/icheskie processy [Sorption and chromatographic processes]. 2015, Vol. 15, Issue 5, pp. 672-682. (Rus)

15. Dudaeva G.N., Randin O.I., Petuhova G.A., Vakul'skaja T.I. O mehanizme sorbcii ionov nikelja (II) modificirovannymi uglerodnymi sorbentami [On the mechanism of sorption of nickel ions (II) by modified

carbon sorbents]. Fizikohimija poverhnosti i zashhita materialov [Physicochemistry of the surface and protection of materials], 2015, Vol. 51, Issue 6, pp. 582-586. (Rus)

16. Belova T.P. Adsorbcija marganca i svinca natural'nym ceolitom iz vodnyh rastvorov [Adsorption of manganese and lead by natural zeolite from aqueous solutions]. Sorbcionnye i hromatograficheskie processy [Sorption and chromatographic processes], 2015. Vol. 15, Issue 5, pp. 630-635. (Rus)

17. Sviridov A.V., Jurchenko V.V., Sviridov V.V., Ganebnyh E.V. Sorbcija kationov medi i nikelja na sloistyh aljumosilikatah [Sorption of copper and nickel cations on layered aluminosilicates]. Sorbcionnye i hromatograficheskie processy [Sorption and chromatographic processes], 2016, Vol. 16, Issue 1, pp. 78-86. (Rus)

18. Abollino O., Aceto M., Malandrino M., Sarzaninic., Mentasti E. Adsorption of heavy metal on Na-montmorrilonite. Effect of pH and organic substances. Water research. 2003, Vol. 37, pp. 1619-1627.

19. M.G.A. Vieira, A.F. Almeida Neto, M.L. Grimens, M.G.C. da Silva. Removal of nickel on Bofe bentonic calcined clay in porous bedlly. Hazardous Materials. 2010, Vol. 176, Issue 2, pp. 109-118.

20. A.F. Almeida Neto, M.G.A. Vieira M.L., Silva M.G.K. Adsorption and desorption processes for cooper removal from water using different eluents and calcined play as adsorbent. J.' Water process engineering. 2014, Vol. 3, Issue 1, pp. 90-97.

21. Gonzalez A. G., Pokrovsky O. S. Metal adsorption on mosses: Toward a universal absorption model. J. Coll. Interface Sci. 2014, Vol. 415, pp. 169-178.

22. Vigdorovich V.I., Cygankova L.E., Shel' N.V., Esina M.N., Shel' E.Ju., Omutkov M.S., Pustynnikov Ja.A. Sovmestnaja sorbcija kationov Cu(II) i Ni(II) na glaukonite iz protochnyh nitratnyh rastvorov [Co-sorption of Cu (II) and Ni (II) cations on glauconite from flowing nitrate solutions]. In Materialy VIII Mezhdunarodnoj nauchno-innovacionnoj molodezhnoj konferencii "Sovremennye tverdofaznye tehnologii: teorija, praktika, innovacionnyj menedzhment" [Proceedings of the VIII International scientific and innovative youth conference "Modern solidstate technology: theory, practice, innovation management"]. Tambov. Izd-vo Chesnokova A.V. 2016, pp. 34-49. (Rus)

23. Samarskij A.A. Vvedenie v chislennye metody [Introduction to numerical methods]. 1982, M.: Nauka, Glavnaja redakcija fiziko-matematicheskoj literatury, 272 p.

24. Shikin E.V., Boreskov A.V. Kompjuternaja grafika. Dinamika, realisticheskie izobrazhenija [Computer graphics. Dynamics, realistic images]. 1995, M.: Dialog -MIFI, 288 p.

25. Gauss-Jordan Elimination Calculator. Available from: http://matrix.reshish.ru/gauss-jordanElimination.php (Accessed 18.03.2017).

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