Systems of anaerobic digestion should be used for processing of organic waste. Managing the process of anaerobic recycling of organic waste requires reliable predicting of biogas production. Development of mathematical model of process of organic waste digestion allows determining the rate of biogas output at the two-stage process of anaerobic digestion considering the first stage. Verification of Konto’s model, based on the studied anaerobic processing of organic waste, is implemented. The dependencies of biogas output and its rate from time are set and may be used to predict the process of anaerobic processing of organic waste.

The present paper provides the methodology of monitoring and evaluation of dynamics of radioactive contamination from radioactive waste depositories, which supposes the wide application of the fuzzy set theory results, heuristics and risk-oriented management. The developed technique is based on hybrid modelling and data mining principle and provides effective control operations, realises appropriate environmental monitoring, assures trustworthy of decision making in situations of noise, ambiguity and misrepresented data.

The present paper provides the methodology for the environmental monitoring of natural and engineering wastewater systems, which involves the determination of the dichotomous fractal structure of the measuring network, the boundaries of the range and the density of pollution on the Peano and Koch curves, based on the data of the measuring network and the corresponding interpolation and smoothing algorithms, as well as determination of the dynamics of the pollution range using the Bayesian theorem. On the basis of the theory of fractals and the theory of sets, the developed algorithms for monitoring allow determining the structure of the measuring network taking into account the features of the controlled range and the sets of fractal isolines of any configuration with a given accuracy of reflection, which allows predicting the change in the composition of the effluent that comes to the reservoirs from the landscapes and improving the functioning of the equipment and environmental safety of water in general. The established dependence of biogas productivity on the different methods for destruction of the active sludge microorganisms allows determining that the maximum output of biogas occurs when applying the chemical destruction of part of the sludge.

The present paper provides that robustness is the facility of complex computer-aided geoengineering systems of keeping its feature invariable along the certain period of time. The detecting of indications which testify that system is not responding adequately to input disturbances may be realized by: comparing real data on assembly output with number of reference artefacts which correspond to specific states of disturbances; comparing real data on assembly output with a normal reaction to the actual set of input signals. To increase the resilience of monitoring data of geoengineering system the majority principle and the Byzantine agreement method are used.

The present paper provides the dependence of the temperature change on time and the depth of the soil massif based on numerical calculations. Mathematical modelling of the one-dimensional soil temperature field via an algorithm and a PC program is carried out without taking into account the influence of the phase transition of moisture in the soil pores during seasonal freezing and thawing using the finite difference method. The amplitude of fluctuations in the temperature regime is obtained as that decreases with depth from the soil surface. It is established that over time heat spreads from the pipeline to the surface of the soil, and over time more intense heating occurs both near the pipeline and in the body of the soil massif.