How to cite: Sabău, D.A., Haidu, I., Şerban, Gh. (2020) Key Types of Anthropic Influence on Surface Waters, Components of Spatial Decision Support System for Prevention and Management of Floods (Firiza Basin). 2020 ”Air and Water – Components of the Environment” Conference Proceedings, Cluj-Napoca, Romania, p. 177-190, DOI: 10.24193/AWC2020_17.
KEY TYPES OF ANTHROPIC INFLUENCE ON SURFACE WATERS,
COMPONENTS OF SPATIAL DECISION SUPPORT SYSTEM
FOR PREVENTION AND MANAGEMENT OF FLOODS (FIRIZA BASIN)Daniel Andrei SABĂU, Ionel HAIDU, Gheorghe ŞERBAN
ABSTRACT. – In the current climate change context, setting up a real time spatial decision support system for flood prevention and management is more than a necessity. One of the components of this system would be represented by the anthropic influence on the water courses in the territory, respectively by the reservoirs, the regularization structures, the consolidation of the river banks, the water supply system, the use of land etc. The introductory part of the article presents literature related to the chosen subject, information on the spatial location of the study basin, as well as technical details on the spatial organization of the Firiza hydro-technical system. The following chapter shows the methodological structure and databases, which have made it possible to carry out the study. A particular emphasis is placed on the virtual environment (statistical, spatial modelling and hydrological/hydraulic modelling software). The study continues with the presentation of the anthropogenic influence structure, organized at detail level for each type of anthropic intervention separately, in a compatible format, connectable to the other modules related to the spatial system decision support. Relevant case studies on the restoration of liquid runoff, the degree of attenuation of the flood waves, the behavior of water uses and hydro-technical structures, etc., were done - elements that prove the efficiency of the functioning of the anthropic intervention components (analysis carried out based on data from the water resources monitoring network in the river basin). The conclusions reveal that the accuracy of future models (hydrological, optimization, hydraulic, potential damage assessment etc.) depends in good measure on the thorough knowledge of the components of anthropic influence on water resources, in addition to the quality of input data and the expertise of the hydrologist.
Keywords: surface water resources, hydro-technical system, influenced runoff, spatial databases, hydrological models, decision support system
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