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From Figure 1 it is clear also that levels of contamination of milk and of potatoes may differ on the order of value for same level of contamination of soil or may be the same value, when a contamination differs on the order of value.

Such situation may be associated with greatly different ecological terms inside Rovenskaia Area, for instance, different types of soil.

This example illustrates the typical difficulties of the interpretation of the ecological data monitoring regarding the interpretation, multidimensional ecological data having complex (chaotic) structure and ensemble parameters. The procedures of ecological scaling may remove those difficulties.

5. Discriminant Analysis

5.1 ANALYSIS OF THE ACCORDANCE OF ECOLOGICAL CLASSIFICATION WITH ADMINISTRATIVE CLASSIFICATION

Five variables are used: 137Cs in soil, kBq/m2; 137Cs in milk, Bq/l; 137Cs in potatoes, Bq/kg; Transfer Factor for milk (TFmilk), kBq/l; Transfer Factor for potatoes

(TFpot), kBq/kg.

The result of Discriminant Analysis of the contamination data for Rovenskaia Area (Figure1) in space of canonical roots is indicated in Figure 2. (Here the cumulative proportion of variance extracted by root1 and root2 equals 0.93).

From Figure 2 it is clear that for many settlements the ecological conditions do not correspond with the administrative affiliation. Therefore the decision-making will be not correct for many cases (the decision-making regarding countermeasures in contaminated settlements is connected with administrative affiliation).

Fig. 2. Analysis of accordance of ecological classification with administrative classification before change of administrative affiliation.

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5.2 CHANGE OF THE ADMINISTRATIVE AFFILIATION FOR THE CORRESPONDANCE OF THE ADMINISTRATIVE CLASSIFICATION TO THE ECOLOGICAL CLASSIFICATION

The administrative affiliation for settlement has been changed (the highest classification score has been used in classification functions) and Discriminant Analysis has been repeated. This procedure is iterative. (It is need about 10 iterations)

It appears that only 3 of 236 settlements are incorrectly classified by such procedure. It appears also that Sarnensky Region may be excluded from list of Regions; then the ecological conditions of the settlements including in the Sarnensky Region are classified as Beresnovsky.

The result of such iterative operations of the Discriminant Analysis is indicated in Figure 3. (In legend of Figure 3 there are 6 Regions only).

Fig. 3. The correspondence of the ecological classification to the administrative classification.

6. Assignment of the score to MREI

In our example the expert scores 1, 2,…6 for the clusters “Bereznovsky”, “Vladimiresky”, “Goschansky”, “Dubrovitsky”, “Zarechensky”, ”Rokitnovsky” (Figure3) as MREI were assigned. The score “1” was assigned for cluster “Goschansky” which was estimated by experts as the most favourable.

Note:

ξ The scores 1,…6 are the group centroids in the clusters “Bereznovsky”, “Vladimiresky”, “Goschansky”, “Dubrovitsky”, “Zarechensky”,”Rokitnovsky, respectively.

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ξ The scores for MREI may be changed by experts on the base of test scaling. This procedure is iterative

7. Scaling

a) Method of scaling

The ecological scale is offered developed as Multiple Linear Regression where the score 1,…..6 (MREI for clusters “Bereznovsky”, “Vladimiresky”, “Goschansky”, “Dubrovitsky”, “Zarechensky”, ”Rokitnovsky, respectively) are the pseudovariables and these pseudovariables are dependent variables.

b) Model

The data for Regression Analysis are prepared as following.

ξ As dependent variables the values 1, 2…6 are assigned for settlements included in clusters “Bereznovsky”, “Vladimiresky”, “Goschansky”, “Dubrovitsky”, “Zarechensky”,”Rokitnovsky, respectively.

ξ Independent variables for each settlement are the data: 137Cssoil (kBq/m2), 137Csmilk (Bq\l), 137Cspot (Bq/kg), TFmilk, kBq/l, TFpot, kBq/kg.

c) Results

ξ For our example the mathematical expression for ecological scale is:

R= 0.7+0.020377 * (137Cssoil)+0.000177 * (137Csmilk ) + 0.106622* (TFmilk )- 0.001228* (137Cspot) + 0.111913 * (TFpot), (1)

where R is the value, which may be interpreted as Ecological Risk (R).

ξ Sorted ascending values of the R for 236 settlements of Rovenskaia Area are indicated in Figure 4.

ξ It is possible to show the details of any part of scale (Figure 5).

RISK

Scaling of ecological conditions for 236 settlements in Rovenskaia Area Ecological conditions are determinated by Cs-137 in soil, milk, potatoes and Transfer Factors "soil-milk", "soil-potatoes"

6

 

 

 

Rokitnovsky Region

 

 

 

 

 

 

 

5

Rovenskaia Oblast Average

Dubrovitsky Region

 

 

 

 

 

 

 

 

 

 

4

 

 

Zarichnensky Region

 

 

 

 

 

 

 

3

Goschansky Region

 

 

 

 

 

 

 

 

 

2

 

 

 

 

 

 

1

 

 

 

Vladimiretsky Region

 

 

 

 

 

 

0

 

Bereznovsky Region

 

 

 

40

80

120

160

200

240

0

List of settlement fixed as result of Fig.3

Fig. 4. Ecological scale in terms of Risk (Eq.1) for Rovenskaia Area of Ukraine, 1992. (Indication of the mean values of Risk for each Region of Rovenskaia Area).

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Scaling of ecological conditions for 36 settlements in Rovenskaia Area

Ecological conditions are determinated by Cs-137 in soil, milk, potatoes and

Transfer Factors "soil-milk", "soil-potatoes"

The details of scale indicated in Fig.4

 

6.5

 

 

 

 

Rokitnovsky Region

 

 

 

6

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

5.5

 

 

 

Dubrovitsky Region

 

 

 

 

 

 

 

 

 

 

 

 

RISK

5

 

 

 

 

 

 

 

 

4.5

Zarichnensky Region

 

 

 

 

 

 

4

 

 

 

 

 

 

 

 

 

3.5

 

 

 

 

 

 

 

 

 

3

205

210

215

220

225

230

235

240

 

200

 

 

 

List of settlements fixed as a result of Fig.3

 

 

Fig. 5. Details of scale indicated in Figure 4 (Eq.1).

8. Risk in comparison with Effective Doses

As indicated above, R is the reflection of the multiple structure of ecosystem by a single value. In our case R is the linear combination of contamination of several chains in ecosystem.

The Effective Dose due to the ingestion is the reflection of the multiple structures inside Man by a single value. E is the linear combination of contamination of several chains inside Man. The database [8] contains the information about E. There is thus a possibility to compare results of diagnostics of the Rovenskaia Area by both methods R and E (Figure 6).

Risk, dimensionless

 

Risk in comparison with Doses. Rovenskaia Area,1992

 

 

5

 

 

 

 

 

12

microSv/year

 

 

 

 

 

 

6

 

 

 

 

 

 

 

 

 

 

 

 

 

10

 

 

 

 

 

 

 

8

ingestion,to

4

 

Risk

 

 

 

6

 

 

 

 

 

 

 

 

 

 

 

 

 

3

 

 

 

 

 

4

due

 

 

 

 

 

 

 

 

 

 

 

 

Doses

2

 

 

 

 

 

2

 

 

 

 

 

Effective

1

 

 

 

 

Doses

0

 

 

 

 

 

40

80

120

160

200

 

0

240

 

 

 

 

List of settlements

 

 

 

 

Fig. 6. Index for contaminated ecological chains (Risk) in comparison with Index for contaminated interior of man (Effective Dose).

172

9. Ecological scaling for territory contaminated by a spectrum radionuclides in the Kievskaia Area of Ukraine, 1987

a) Data source

The data of soil contamination by radionuclides 90Sr, 134Cs, 137Cs, 106Ru, 144Ce are considered for 122 settlements located in Ivankovsky, Kagarlitsky, Tarashansky, Polesky, and Vishgorodsky Regions of the Kievskaia Area and estranging emergency zone near Chernobyl NGS [8].

b) Discriminant Analysis

The result of Discriminant Analysis of these data in space of canonical Root2 and Root3 is indicated in Figure 7.

c)Model

1)MREI: As dependent variables the values 1, 2…6 are assigned for settlements

included in clusters “Zone ChNGS”, “Vishgorodsky”, “Ivankovsky”, “Polesky”, “Tarashansky”, “Kagarlitsky” (Figure 7), respectively.

2) Independent variables: Independent variables for each settlement are the data for 90Sr, 134Cs, 137Cs, 106Ru, 144Ce, in kBq/m2.

The Euclidean distance is used because root2 and root3 (Figure 7) are uncorrelated.

d) Results

ξ The mathematical expression for ecological scale is:

R= 1.141694 – 0.112609 * (90Sr) –0.094899 * (106Ru) +1.135997 * (134Cs) - 0.175412 * (137Cs) + 0.059925 * (144Ce), (2)

where R is the value that may be interpreted as Ecological Risk;

ξ Sorted ascending values of the R for 122 settlements of Kievskaia Area are indicated in Figure 8.

Note: In this example the levels of contamination of part of the Chernobyl zone which are used for analysis, are lower than in the other regions.

Discrimination of the settlements on the base of soil contamination by Sr-90, Cs-134, Cs-137, Ru-106, Ce-144

Kievskaia Area of Ukraine, 1987

Root 2

8

 

 

 

 

 

 

 

 

 

6

 

 

 

 

 

 

 

 

 

4

 

 

 

 

 

 

 

 

 

2

 

 

 

 

 

 

 

 

 

0

 

 

 

 

 

 

 

 

 

-2

 

 

 

 

 

 

 

 

Zone ChNPP

-4

 

 

 

 

 

 

 

 

-6

 

 

 

 

 

 

 

 

Vishorodsky

-8

 

 

 

 

 

 

 

 

Ivankovsky

-10

 

 

 

 

 

 

 

 

Kagarlitsky

-12

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Tarashansky

-14

 

 

 

 

 

 

 

 

-4

-2

0

2

4

6

8

10

Polesky

-6

Root 3

Fig. 7. The classification of ecological conditions defined by 90Sr, 134Cs, 137Cs, 106Ru, 144Ce in soil of the Kievskaia Area of Ukraine, 1987 .

173

Scaling of ecological conditions for 122 settlements in Kievskaia Area, 1987 Ecological conditions: soil contamination by Sr-90, Cs-134, Cs-137, Ru-106, Ce-144

 

8

 

 

 

 

 

 

 

 

7

 

 

 

Kagarlitsky Region

 

 

 

 

 

 

 

 

 

 

 

6

 

 

Tarashansky Region

 

 

 

 

5

 

 

 

 

 

 

 

 

 

 

 

 

 

RISK

4

 

 

Polesky Region

 

 

 

 

 

Ivankovsky Region

 

 

 

3

 

 

 

 

 

 

 

Vishgorodsky Region

 

 

 

 

2

Zone ChNPP

 

 

 

 

 

 

 

 

 

 

 

1

 

 

 

 

 

 

 

 

0

20

40

60

80

100

120

140

 

0

 

 

 

List of settlements in according with Fig.7

 

 

Fig. 8. Ecological scale in terms of Risk (Eq. 2) for Kievskaia Area of Ukraine, 1987. (Indication of the mean values of Risk for each Region of Kievskaia Area).

10. Conclusion

[

The way of multidimensional ecological scaling is developed. Within the framework of this procedure the ecological monitoring multidimensional data are converted into Ecosystem Index (EI). (This may be considered as a model of “ecological thermometer”).

This method is based on the following procedures: reduction of the dimensionality of monitoring data, discrimination, clusterisation, classification and multiple regression.

The scaling factors for ecological scale are introduced in terms of Multidimensional Reference Ecological Images, which are assigned by experts.

The state of the ecosystem is reflected on the scale by value EI which may be interpreted as Ecological Risk.

The evolution of the ecosystem position along scale may be used for decisionmaking. The method is demonstrated in two examples: contamination of several ecological chains by single radionuclide and contamination of single chain (soil) by several radionuclides.

11.References

1.Georgievsky V.B. (1994). "Ecological and Dose Models for Radiation Accident", "Naukova Dumka" ("Scientific Thought") Publishers, Kiev, 236 pp., 1994 (in Russian);

2.Georgievsky V.B., Kameneva I.P. (1991) “Interactive analysis of data for ecological monitoring”, In: Problem of Energy -savings, No 1, p.p.1-10, "Naukova Dumka" ("Scientific Thought") Publishers, Kiev, 1991 (in Russian)

3.Georgievsky V.B., Kameneva I.P., Syrvila A.P. (1992) “Multivariate analysis ecological data monitoring”, Institute of Problems of Modeling in Energy of Ukrainian Sciences Academy, 92-45,

Kiev, 39 p.p.

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4.Bartlett M.S (1965). “Multidimensional Statistics” in Theoretical and Mathematical Biology”, Edited by Talbot H. Waterman and Harold J. Morowitz, Yale University, Blaisdell Publishing Company New York, Toronto, London

5.Code “Statistica for Windows”, StatSoft Inc., Release 4.3, 1993;

6.Maurice G.Kendall, Alan Stuart (1966) “The Advanced Theory of Statistics”, V.3, Design and Analysis, and Time – Series, Second Edition, Charles Griffin&Company Limited, London;

7.S.S.Wilks (1967) “Mathematical Statistics”, “Science” Publishers, Moscow (in Russian);

8.“Dosimetric certification of settlements of Ukraine which has exposed from radiological contamination resulting Chernobyl Accident”, Volumes 1- 5, Kiev, Minzdrav of Ukraine, 1991 - 1995

ECOLOGICAL RISK ASSESSMENTY AS A METHOD FOR INTEGRATING RISKS FROM MULTIPLE STRESSORS AT HAZARDOUS WASTE SITES

R. MORRIS

TREC, Inc., 4276 E 300 N, Rigby, ID 83442,

UNITED STATES OF AMERICA

R. VANHOM

Idaho National Engineering and Environmental Laboratory, Idaho Falls, ID, 83402, UNITED STATES OF AMERICA

1. Introduction

Recent experience with human impacts on the environment has demonstrated a need for methodologies to determine protective levels of radiation dose, toxic chemical concentration, and physical stressors. Although there is a continuing need for research into mechanisms and effects, particularly for nonhuman components of the environment, the precautionary principle demands development of methodologies to establish sound regulatory standards in the absence of complete knowledge. These methodologies need not necessarily be based on a scientifically elegant or intellectually satisfying understanding of mechanisms, but would instead be pragmatic systems which offer real protection.

Ecological risk assessment is one method developed to analyze potential risks to the environment and allow the setting and application of regulatory standards in the presence of significant uncertainty. Although ecological risk assessment has been successfully applied to radiological, chemical, and physical hazards, methods have not been developed to consider these three types of stressors in a common framework. Analysing the three stressor types in a common framework is desirable because of the synergistic and antagonistic interactions known to exist between them. Separate analyses cannot account for these interactions.

The objective of this paper is to suggest some approaches which might enhance our ability to analyze radiological, chemical, and physical hazards jointly. These approaches are not offered as a final solution to the problem, but as models to stimulate discussion. To this end, it is worthwhile to consider the methods by which each of these stressor types has been analysed separately.

2. Ecological risk assessment

Ecological risk assessment is a science-based process to qualitatively or quantitatively determine potential harm to the environment from human activities. For the purpose of this definition, the environment that can be harmed is defined as populations of non-human biota (plants and animals), individual members of Threatened or Endangered species, or special habitats (e.g., caves, wetlands).

A focus on populations of plants and animals rather than on individual members of those populations is a philosophical stance reflected in most western cultures, reflected in our wildlife and land management laws and regulations. However, it is not shared by all cultures and may be changing in those cultures

175

F. Brechignac and G. Desmet (eds.), Equidosimetry, 175–185.

© 2005 Springer. Printed in the Netherlands.

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where it exists. Thus, while it seems a reasonable initial position, it is important to bear in mind it may not always be tenable to the stakeholders our regulations affect. This subject is discussed in more detail in a recent International Atomic Energy Agency (IAEA) document [1].

The above definition of ecological risk assessment also requires an explanation of which human activities can be evaluated. For this paper, the stressors of interest are grouped into three categories: ionizing radiation, toxic chemicals, and physical disturbance.

Since the inception of radiation protection as a profession, the focus of its activity has been on protecting human health. There are currently no universally agreed criteria or methodologies for explicitly protecting non-human parts of the environment. For many, the International Commission on Radiological Protection (ICRP) provided the basis for protecting the environment with the statement:

The Commission believes that the standard of environmental control needed to protect man to the degree currently thought desirable will ensure that other species are not put at risk [2].

This “belief” is no longer universally accepted [1] because, 1) there is a large degree of variability in radiosensitivity between species, 2) non-human species may be exposed to environmental radioactivity through pathways not normally available to humans, and 3) much of the basis for protection of humans is based on excluding them from contaminated environments. Non-human species cannot always be similarly excluded. Thus it has become necessary for authorities to demonstrate their regulations are protective of non-human organisms and methods are under development in many countries to do so [3, 4, 5]. Many of these methods are based upon an ecological risk assessment framework.

The non-human components of the environment are also adversely affected in a variety of ways by toxic chemicals. These effects range from direct mortality to subtle genetic damage resulting in decreased evolutionary fitness. The ecological risk assessment approach was originally developed to evaluate risks to the environment from toxic chemicals. [6, 7] It has been successfully applied to this problem at hazardous waste sites across the world, and, although the methodology is continually under improvement, it is a well-developed and well-accepted approach.

Physical disturbance of the environment, ranging from direct mortality, to habitat destruction, habitat Fragmentation, or noise disturbance, has not been well analysed in an ecological risk assessment framework. This is not so much because the methods are not applicable, as because of the historical development of ecological risk assessment as an approach for evaluating risks from toxic chemicals.

2.1 GENERAL PRINCIPLES

There are some general principles for ecological risk assessment that are shared in common between the three types of analysis.

2.1.1. Begin from a conceptual model

In every risk assessment, it is important to begin by developing a wellsupported conceptual model of how the environment under consideration is organized and how the stressor might adversely affect it. For chemical toxins and radioactivity, this should include consideration of the exposure pathways. The

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conceptual model allows the assessors to determine and focus on those components of the environment where adverse effects are most likely to be found and, thus, increase the efficiency of their assessment.

2.1.2. Monitor the correct pathways

Most existing environmental monitoring programs for radioactive or chemical stressors are intended to assist in protecting humans from negative impacts of environmental contamination. Thus, they monitor those pathways by which humans are most likely to be exposed. However, non-human organisms are likely to be exposed by transport pathways not usually available to humans. It is important to ensure that the data used in the assessment are appropriate for the organisms of concern. The same general principle applies to assessments of physical hazards. While humans might not be greatly affected by a stream diversion or road construction, the organisms that inhabit the stream or those whose migration corridor is severed by the road might be greatly affected.

2.1.3. Graded approach

Ecological risk assessment professionals have long recognized that a graded approach is the most cost-effective and efficient method of conducting assessments. After an initial data assembly phase, during which appropriate conceptual models are developed, supported, and documented, a screening assessment is conducted. This screening assessment uses general models with conservative parameters, i.e., models which err on the side of showing risk where none exists. If the activity being assessed with these models passes the screen, assessors can be confident that no risk exists. If the activity fails the screen, then a process of iteration with progressively more complex and site-specific models is conducted. This continues until it is either demonstrated the activity poses an acceptable level of risk, or it is concluded unacceptable risks exist which must be mitigated.

2.1.4. Compliance with a standard

In order for risk managers to make practical use of the results of an ecological risk assessment, there must exist some agreed upon standard; a value which regulators and stakeholders agree represents the limit of acceptable risk. In most cases, for ionizing radiation, this has been a dose limit or, more basically, an activity concentration in an environmental medium. For chemical toxins a Lowest Observed Adverse Effect Level (LOAEL) or No Observed Adverse Affect Level (NOAEL) has been applied. There is no generally accepted or universally applied standard for physical disturbance. These general principles are applicable to any ecological risk assessment. It is now useful to consider how they are applied within each of the given hazard types.

3. Assessing ecological risks from ionizing radiation

In this paper, the U.S. Department of Energy’s (DOE) Graded Approach [3] is used as the model for assessing risks to the environment from ionizing radiation. This is not because it is the only approach which might be effective, but