Matrosova

Current systems for monitoring leaks from petrol pipes can detect large leaks only, and their sensitivity limit is about 1% of the whole petrol pipe’s capacity. In this paper, a problem of remote detection of small leaks (less than 1%) from petrol pipes was considered. One of possible variations of such a system is a monitoring system of oil pollution at the earth surface along the petrol pipe. In this paper experimentally obtained data such as fluorescence spectra of oil products (crude oil, light-end oil products, heavy oil products), various earth surfaces (soil, vegetation, water, asphalt) and oil products spilled over various earth's surface were used for the excitation wavelength of 266 nm. It was shown that use of the laser method based on detection of fluorescence radiation within three narrow spectral bands and a neural network algorithm of measured data processing allowed one to detect oil pollution on the earth surface with a probability of correct classification close to 1 and low probability of false alarm.

The article describes an experimental setup for studying the laser fluorescence method for control of stress situations for plants. Fluorescence spectra of lawn grass are presented in normal and various stress conditions during fluorescence excitation at the wavelength of 532 nm induced by anthropogenic soil pollution. It is shown that influence of stress factors induced by soil pollution on plants transforms the fluorescence spectrum significantly; these results could be used as a basis for a new laser method for remote control of plants’ condition.

The article deals with classification of oil slicks on the earth surface. The authors provide experimentally obtained fluorescence spectra of pure oil and petroleum products; of various earth surfaces that are not polluted with oil; of oil and petroleum products spilled on various earth surfaces. It is shown that the use of the method based on detection of fluorescent radiation in five narrow spectral ranges allows to detect and classify oil slicks on the earth surface with probability of correct detection and correct classification close to one.

Experimental setup for studying the condition of plants by laser fluorescence method is described in this article. Fluorescence spectra of lawn grass in normal and stressful situations is also presented. It is shown that influence of stress factor on plants could lead to increase in fluorescent signal.

Laser monitoring problem of oil pollution at earth's surfaces was considered in this paper. It was shown that use of laser method based on detection of fluorescence radiation within four narrow spectral bands and hierarchical method of classification, allowed to classify oil pollution at earth's surfaces with a probability of correct classification close to one.

Article is devoted to experimental research of laser induced fluorescent spectrums of oil pollution on the earth’s surface. It was shown, that fluorescent spectrums of natural formations (earth’s underlying surfaces) and oil pollution had their own features which can be used to control oil pollution on the earth’s surface both right after spillage and at least a day after.