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Êîìïëåêñíàÿ áåçîïàñíîñòü 2011
Êîìïëåêñíîå èñïîëüçîâàíèå âòîðè÷íûõ ðåñóðñîâ
10_×èñòàÿ âîäà
Work station for operative control of air quality in coastal cities and resort zones
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Financing

Commencement of research work: July 2008. Completion of research work: November 2009.

Budgetary financing: 9 399 206 rubles.

Attraction of off-budget funds: 2 614 000 rubles.

Summary

A model of a work station (WS) for monitoring and predicting air quality in coastal cities and resort zones taking into account mass transfer from sea water into air, technical documentation for WS model as well as software for its functioning and application packages were developed.

The model is intended for monitoring and predicting air quality taking into account mass transfer from sea water into air and estimates the following toxicants: the presence of bacterioplancon DNA; concentrations of polycyclic aromatic hydrocarbons, non-polar hydrocarbons; total protein, biotoxins, chemical element composition, estimated and mass size distributions of aerosol particles in the range of 10 nm — 100 µm. Stage of development-research work.

An application for the invention “A method for construction of a network of atmospheric pollution monitoring stations and determination of characteristics of pollution sources” was filed. Registration ¹ 2009121021 of 02.06.2009. The invention can be used to form a rational spatial pattern of location of unmanned stations for control of air basin pollution and to create systems for population notification of a probable increase in the pollution level of atmospheric air in near-shore areas of seas, oceans and internal water reservoirs. The technical result of the evaluated invention is the provision of optimization of the network of atmospheric pollution monitoring stations and the determination of characteristics of latent pollution sources.

The market value of intellectual property as of September 10, 2009 is: Thirteen million ninety one thousand rubles.

The technology of WS operation is based on the construction of an optimal mobile network of monitoring stations taking into account the relief, wind rose, real meteorological conditions, etc. The proposed technology advantageously differs from the existing one, which is based on the construction of a network of atmospheric pollution monitoring stations in accordance with documents regulating the number and location of monitoring stations taking into account the population size (GOST 17.2.3.01-86). The technology of WS operation helps reduce operating expenditures for monitoring and predicting air quality at each mobile station (coastal station) by not less than five times and on the whole by 5–6 times by reducing the number of stations.

As an example of results of WS operation, isolines of the complex pollution characterizing the quality of atmospheric air of the city of Gelendzhik based on average daily indices of the levels of all toxicants on July 5, 2009 are presented in the Figure.

Isolines of the field of the complex pollution index. Values of isolines: 1 — 0.01, 2 — 0.02, 3 — 0.05, 4 — 0.1, 5 — 0.2, 6 — 0.5
Isolines of the field of the complex pollution index. Values of isolines: 1 — 0.01, 2 — 0.02, 3 — 0.05, 4 — 0.1, 5 — 0.2, 6 — 0.5

Key competitive advantages

Marketing research was not conducted. WS allows performing objective and quick quantitative estimation of air quality according to the above (or Customer-specified) list of toxicants.

The standard monitoring networks currently available in the Russian market do not allows performing quantitative estimation of city air quality within the above range of toxicants. WS of this kind allowing for air quality monitoring according to the complete integrated list of toxicants is also not available abroad.

Scientific significance

A technology for construction of an optimal network for air quality monitoring stations with objective quantitative estimation was developed for the first time in the world. If the developed WS complex is fully deployed and installed, it will be the best complex for comprehensive analysis of air quality in the world. The latest achievements of the world instrument-making industry, methods and technologies for detecting toxicants both in air and in water form the scientific basis of WS. The WS platform allows flexible variation of the list of toxicants to be monitored and a prompt response to the changing meteorological situation.

Examples of practical application

WS will be applied in the following areas: rational nature management, environmental protection; ecology as well as for solution of socially significant problems of civil defense, prevention of emergencies, and countering terrorism. WS can be located in coastal resort zones of Russia and other countries, in particular, on the territory of Sochi (the capital of Winter Olympic Games of 2014), on the territories of large cities such as Moscow, Saint-Petersburg, Novosibirsk, etc. and near potentially dangerous enterprises.

The end product is objective quantitative estimation of air quality.

Replication volume of WS in Russia: units, tens of units.

The cost and terms of commercialization now make up 225 mln rubles and 14–15 months. In future, the emergence of cheaper equipment in expected in the market, in this case, the cost and terms of commercialization will make up 45 mln rubles and approximately 3 years.

Research work was carried out. The following stages are necessary: development, creation of an operative embodiment, additional research work for the region where WS will be installed.

A group of professional managers is not available.

Actual or potential buyers of technologies and licenses are unknown.

Market geography

Russia and foreign countries, resort cities, tourist areas.

Market volume

Approximate market volume in Russia and foreign countries is 10 000 mln rubles.

Approximate term of promotion to the market is 5–7 years.

Developer

Federal State Research Institution State Research Center of Virology and Biotechnology “Vector” of Rospotrebnadzor (FSRI SRC VB “Vector” of Rospotrebnadzor); IAO SB RAS (Tomsk); ICK&C SB RAS (Novosibirsk)