Summary of Meeting Paper

The 1996 Annual Meeting of the Society for Risk Analysis-Europe

Integrated Approach to Risk Assessment in the Environmental Quality Control Within the Republic of Bashkortostan. V. E. Gvozdev, Ufa State Aircraft Technical University, Ufa, Bashkortostan, Russia; R. Z. Khamitov, Ministry of Emergencies and Environmental Safety, Ufa, Bashkortostan, Russia; and S. V. Pavlov and M. J. Polkanov, The Institute for Problems of Applied Ecology & Natural Resources Use, Ufa, Bashkortostan, Russia

The complicated environmental situation in the Republic of Bashkortostan (Russia) is characterized by intensive negative impact over the environment from technosphere. To assess the rate of negative impact from entire industrial region and from separate plants over the environment and population an integrated approach is being applied in the framework of the environmental safety system.

Integrated approach assumes the calculation of quantitative hazard rate of impact over the environment from industrial enterprises in standard functioning mode and in case of emergency as well. Risk R is being used as hazard rate and in general it is a function of two arguments - probability of undesirable event occurrence p and losses caused by this event C:

R = f(p, C)

Total risk value R1 (being applied to the considered approach) consists of the risk value for the industrial object standard functioning mode R1 and of the risk value of the consequences of a possible accident at this object R2, both of which, in their turn, are formed by risk for population health and for the environment:

R = R1 + R2= (R11 + R12) + (R21 +R22)

Standard functioning mode is characterized by lower level and longer duration of technogene impact upon the environment in comparison with short-term mass emission of contaminants during an accident. Risk value is determined as a dependence of pollutant composition, its volume and geographical location of pollution sources and their functioning parameters. In this case risk function can be written as:

R11 = f11(V, N, t)

R12 = f12(V, S, t)

where V - volume of certain contaminant in emission;
N - number of people exposed to impact;
S - area exposed to contamination;
t - duration of impact.

Negative effect from impact to population is manifested in calculation of probable increase of cancer disease relatively to background and hazard quotient for carcinogens and toxicants respectively; as for environment - it is calculated from background and maximum concentrations when maximum permissible concentration is exceeded and duration of this exceed.

In defining risk from consequences of possible accidents another component is added to above dependencies. This component takes into account the probability of equipment malfunctions and technological process violations that could lead to an emergency. Once probability component and a maximum volume of contaminant that could be released are taken into consideration risk value can be calculated for the second case. Appropriate risk functions are:

R21 = f21(p, V, N, t)

R22 = f22(p, V, S, t)

where p - probability of emergency;
V - maximum volume of toxicant that could be released;
N - number of people who could be in disaster area;
S - possible disaster area;
t - interval between the accident and the end of its consequences elimination.

The distinctions in calculating risk value for an emergency case are as follows: duration of exposure will be considerably lower, contaminated area will be determined according to a different mathematical model of contaminants distribution.

Fig. 1 shows flowchart for integrated risk assessment for a plant level (appropriate scheme for a regional level is slightly different). At the first stage generalization of information concerning technological process peculiar to concrete enterprise is executed. This information contains data about location of industrial installations, type and quantity of matters employed in technological processes and stored within the plant, methods of matter transporting and storing, waste volume and ways of its storing, etc. Then the process of revealing all potential hazard begins. Type and volume of employed matters, topographical terrain data, population density, nature of objects located in the area with negative impact and meteorological information are the criteria for the hazard sources. Further on a separate analysis of negative impact upon the environment from standard functioning mode of industrial objects and for the case of possible accident is being carried out. Eventually risk value will be calculated and a decisionmaker makes a conclusion about its acceptability. Afterwards the above calculated risk value will be the initial point for risk management.


Fig. 1. Flowchart for integrated risk assessment (plant level).

There are certain difficulties in calculating quantitative indices in integrated risk assessment on the regional level. So in this case qualitative characteristics are used. They are derived from known methods of multidimensional statistics and methods of reduction of analyzed variable space dimensionality. As a result of these methods application objects are classified depending on negative impact rate.

Fig. 2 presents the results of classifying cities of Bashkortostan by the degree of dependence on technogene loading of water objects. Information about volumes of water for industrial needs of enterprises situated in different cities, mass of contaminants emitted to water objects with plants waste waters, number of accidents that led to water objects contamination and released contaminants mass was used as initial data.

Integrated approach allows to obtain comparative risk assessment of different territories and cities, arrange industrial objects according to risk rate as well as to plan measures directed towards diminishing the hazard first of all in regard to the objects for which risk value is the highest. In oral presentation there will be given an analysis of actual data about accidents that took place and contamination of environment with application of mathematical simulation methods combined with geoinformational technique.