Ecological Systems and Devices Annotation << Back Adaptive Information-Modeling System for the Hydrophysical Investigations Krapivin V.F. Soldatov V.Yu. Potapov I.I. New approach to the complex study of hydrophysical processes of different scale is considered in this paper. It is based on the technology of synthesis of flexible information-modeling systems, which was developed in the Kotelnikov’s Institute of Radiotechnics and Electronics of Russian Academy of Sciences. The methodic feature proposed in this paper is the use of advantage of multi-channel measurements by means optical and microwave sensors. The methodic for information-modeling system synthesis is described to be used as mean to process the hydrophysical experiment data. It includes simulation model and series of algorithms for spatial-temporal interpolation. The system block-scheme is given and its functions are characterized. Specific characteristic of developed system consists in that its items are independent by structure, and any modification of one of them does not lead to change of other items. Informational interface gives flexible adaptive use of experimental data. Decomposition of the system by two level items (controlling and functional) corresponds to the closed parts of the calculation task of physics-chemical characteristics for water environment as component of hydrophysical object for control. Coordination of the items and informational flows between them using principle of input/output is management by special item and only it can permit some deviations within coherent hard structure of the system connections. These deviations are partly realized automatically with intermediate request of the operator permission, and it is allowed in part to operator to synthesize of them. In the case, when the item input no has information from other items the system automatically switches it to database where necessary information exist «on default». Result of the system usage is given. Keywords: hydrophysical system; algorithm; model; experiment; monitoring. Contacts: E-mail: ipotapov37@mail.ru Pp. 29-39.