The complex interaction of a man and the environment requires the creation of algorithms for predict- ing the effects of anthropogenic impact. This requires the creation of the ecosystem models where all their basic elements and relationships are taken into account. One of the most effective methods for choosing the most informative differential elements of a system is the development and the implemen- tation of bio-indication models. Nowadays the important task is the development of the bio-indication methods for various anthropogenic complex effects.The electrical transmission lines carry out a specific integrated environmental impact. It is created on the changes in the environment under the influence of magnetic and electric fields and the long-term consequences of their interaction with ecosystem components. This effect is negative for the most representatives of biota and for earthworms in particular. We observe how the number of species de- creases, the species diversity reduces and the morphological parameters change towards species with a shorter body length under reaching the electrical transmission lines.Some genera of the earthworms are able to survive under the effects of the modern electrical transmis- sion lines, although this reflects their abundance and morphological parameters. These species include Aporrectodea caliginosa and Aporrectodea trapezoides. They can be used as diagnostic genera of impact of the electrical transmission lines on biota. They can be genera indicators for the determination of the effect of the electrical transmission lines. The presence of Lumbricus terrestris shows the low electrical transmission line effects, and the presence of Aporrectodea roseа or Aporrectodea longа shows low or moderate effects.We can create bioindication models according to the relations between groups of species of dominant and subdominant specimens formed by the body size. Under the condition of creating a wide data-base and establishing the vitality parameters, it is possible to develop more advanced and efficient algorithms for the synbioindicator analysis of the impact of the electrical transmission lines on the environment.