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Chemometric Methods for Environmental Pollution Monitoring

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Sleeper plant sewage purification. Waste emulsion regeneration ... Sleeper plant sewage purification. High foul blowoff sewage purification. Tasks solved ... – PowerPoint PPT presentation

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Title: Chemometric Methods for Environmental Pollution Monitoring


1
Chemometric Methods for Environmental Pollution
Monitoring
Dmitry E. Bykov Samara State Technical
University Samara, Russia
2
Outlines
  • Introduction
  • Wastes recovering
  • Wastes conversion
  • Wastes cancellation
  • Wastes management
  • Landfills management
  • Conclusions

3
The Goals
  • This lecture has two main objectives
  • To give information about our R D activities
  • To get your advices how to apply chemometrics

4
Samara is a large industrial city
5
Samara State Technical University SSTU
Since 1914
17 000 Students
6
SSTU Structure
SSTU
Faculty of Chemical Technology
Department of Industrial Ecology
7
Department of Industrial Ecology
8
Department Research Activities
  • Design the processes and equipment
  • for waste treatment
  • industrial sewage cleaning
  • Reengineering of out-of-date technologies
  • Ecological auditing and improvement of
    ecological management in industry

9
Development activities
10
Public Activities
11
Research Analysis Center ofIndustrial Ecology
(RACIE)
12
RACIE Activities
  • Chemical analysis of topsoil, wastes,
    sewage, and ground water
  • Development of standards that regulate the
    pressure on the environment by human activities
  • Designing the up-to-date landfills for
    industrial and domestic wastes

13
II. Wastes Recovering
The goals are purification and regeneration
14
Tasks solved
  • Sleeper plant sewage purification
  • Waste emulsion regeneration
  • Copper contaminated sorbent regeneration
  • Used enamel regeneration
  • Hydrolyzed salomass regeneration
  • High foul blowoff sewage purification
  • Sleeper plant sewage purification
  • High foul blowoff sewage purification

15
Sleeper plant sewage purification
Sleeper plants sewage water contains up to 10 of
tars.To purify it extraction with xylene is
applied.
16
Equilibrium in the water/tar/xylol system
17
Tar extraction
18
High foul blowoff sewage purification
19
Process parameters (Input)
  • T Temperature
  • Ph Acidity
  • PAA Flocculant (polyacrylamid)
    concentration
  • K-2 Coagulant concentration

20
Purified water quality (Output)
  • D Optical density
  • Al Concentration of aluminium ions Al3
  • Fe Concentration of ferric compounds

21
Conventional univariate approach - I
Output parameters versus acidity. Other input
parameters are constants T 20C K-2 50
mg/l PAA 2 mg/l
22
Conventional univariate approach - II
Output parameters versus temperature. Other
input parameters are constants pH 6 K-2 40
mg/l PAA 2 mg/l
23
Conventional univariate approach - III
Output parameters versus PAA concentration. Other
input parameters are constants T 20C pH
6 K-2 40 mg/l
24
Conventional univariate approach - IV
Output parameters versus K-2 concentration. Other
input parameters are constants T 20C pH
6 PAA 2 mg/l
25
Optimal process setup
  • Temperature T35C
  • Acidity Ph 6
  • PAA concentration PAA2 mg/l
  • K-2 concentration K-2 40 mg/l

26
Chemometrics related problem
  • Would MSPC approach be useful there?

27
PLS2 Model
Loadings Plot Inputparameters
T , pH, PAA, K-2
Output parameters
Fe , D, Al
28
Predicted optical density
29
Predicted concentration of aluminium ions
30
Predicted concentration of ferric compounds
31
III. Wastes conversion
The goal is utilization
32
Tasks solved
  • Soap stock utilization
  • Conversion of plastic-insulated cable scraps
  • 1,2-dichlorpropane processing
  • Polychlorethanes processing

33
Soap stock utilization
  • Soap stock is a waste of oils and fats refining
  • This is a valuable product, which should utilized

34
Conventional method of utilization
Waste is utilized into not valuable soap
35
Soap stock composition
Vegetable oil production wastes
Fat production wastes
Stock composition is different for oil and fat
36
Oil production wastes utilization
Waste is utilized into valuable dry oil
37
Fat production wastes utilization
Waste is utilized into valuable products
38
Chemometrics related problem
  • Will MSPC approach be useful in this case?

39
IV. Wastes cancellation
The goal is wastes annihilation
40
Tasks solved
  • Oil polluted lands reclamation
  • Sewage sludge utilization

41
Oil polluted lands reclamation
  • We have
  • Oil polluted lands that should be reclamated
  • A lot of activated sludge that should be utilized
  • Lets mix them up!

42
Oil polluted lands reclamation
43
Oil conversion
ES is enzyme-substrate complex E
is enzyme (catalase) S is substrate (oil)
? is oil
decomposition product
44
Chemometrics related problem
  • The problem looks similar to biofuel production.
  • Will this similarity be helpful?

45
More on lands reclamation
Konstantin Chertes Samara State Technical
University , Samara, Russia Possibilities of
application of multidimensional data analysis
methods to substantiate directions of degraded
land recultivation
46
V. Wastes management
The goal is collection and sorting
47
Wastes sources
48
Wastes distribution within industry
49
Domestic refuse composition
50
Domestic refuse break up
Collected (83 )
Disposed (76 )
Recycled (7 )
Total (100 )
51
Waste collection system in Samara
52
Wastes traverser station
53
Polymer wastes composition
Polymer wastes weight portion is 10 Polymer
wastes cost portion is 60
54
Chemometrics related problem
  • How to automate the wastes sorting?
  • Will NIR spectroscopy be helpful there?

55
More on waste sorting and recycling
Nataliya Ryumina Samara State Technical
University, Samara, Russia Sorting of polymers
according to the typesby the method of near
infrared spectroscopy
56
VI. Landfills management
The goal is ecological risk assessment
57
Well-run landfill Kinel
58
Illegal dump Bezenchuk
59
How to estimate a landfill state?
60
Prediction of maturity (age)
61
PCA-based classification
62
Chemometrics related problem
  • How to perform sampling on landfills?
  • Will sampling theory be helpful there?

63
More on landfill state evaluation
Olga Tupicina Samara State Technical University
, Samara, RussiaChemometrics-based evaluation
of man-caused formations stability
Evgeniy Michailov Samara State Technical
University , Samara, RussiaEcological
assessment of waste fields with multivariate
analysis - feasibility study
64
VII. Conclusions
  • Numerous cases that are of interest in ecology
    and waste management have been presented
  • Our first chemometric experience inspire us to
    use it more and more
  • We are entirely open for co-operation in
    ecological chemometrics
  • It is great to see so many outstanding scientists
    here!
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