GULLY MODELING FOR FOREST RECLAMATION PURPOSES
- Land Reclamation, Recultivation, and Land Protection
The aim of the work is to improve the current management system of multipurpose water-resources complex of the Russian Federation for increasing the efficiency of decisions made by raising their quality. The tasks of analyzing the stages of management control automation, data summarizing on information control systems use (IMS) and establishing promising directions of information system development of land reclamation activities management were solved. The object of the study is the regulatory and procedural framework governing the development and implementation of ISU, as well as the results of their use in production management. The subject of the study is automation control based on decision support systems (DSS). The procedure of work was based on the theoretical foundations of information support for managerial decisions establishing the functional structure of the management system and organization of the interaction of its components, as well as the study materials of federal state budgetary scientific institution “VNIIGiM named after. A. N. Kostyakov” in development, implementation and use of information technologies in managerial structure of water resources organizations in the field of land reclamation. The classification of IMS by methods of information transformation in preparing managerial decisions is presented and the estimation of functional capabilities of the developed automation technologies is given. As an objective for control automation in the field of land reclamation technologies based on an effective computer systems class – DSS are considered. The functioning of DSS during the reclamation facilities operation in the North Caucasus Federal District contributed to an increase in information support of decisions up to 15 %, automation of managerial activities to 20 %, labor productivity to 30 %, that indicates the efficiency of computer systems use in management of multipurpose water-resources complex.
Keywords: decision support systems, efficiency, automatization, management, multipurpose water-resources complex, operation.