2020
DOI: 10.24193/awc2020_17
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Key Types of Anthropic Influence on Surface Waters, Components of Spatial Decision Support System for Prevention and Management of Floods (Firiza Basin)

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, … Show more

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Cited by 2 publications
(2 citation statements)
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“…The relief and elevation variations in the Firiza watershed and surrounding mountain areas suggest a strong influence of topography on rainfall variability (Sabău et al, 2020); however, this effect has hardly been studied (Bazac, 1983) and without taking into account additional topographic parameters or the position of the rain gauges. Long-term records of rainfall are available for the Firiza watershed and the surrounding mountain area.…”
Section: Fig 1: Location Of the Firiza River Basin (Altitude Source: ...mentioning
confidence: 99%
See 1 more Smart Citation
“…The relief and elevation variations in the Firiza watershed and surrounding mountain areas suggest a strong influence of topography on rainfall variability (Sabău et al, 2020); however, this effect has hardly been studied (Bazac, 1983) and without taking into account additional topographic parameters or the position of the rain gauges. Long-term records of rainfall are available for the Firiza watershed and the surrounding mountain area.…”
Section: Fig 1: Location Of the Firiza River Basin (Altitude Source: ...mentioning
confidence: 99%
“…The subject of the present paper was determined by the desire to know in detail the characteristics of the most important input parameter in the hydrological forecast model, because the quality of the forecast depends equally on the accuracy of input data and the hydrologist's skills (Sabău et al, 2020).…”
Section: Study Areamentioning
confidence: 99%