Je li uklanjanje nanosa rješenje za smanjenje poplavnog rizika na rijeci Kupi?
Is Sediment Removal the Solution for Reducing Flood Risk on the Kupa River?
Autori: Marta Marija Gržić, Nevenka Ožanić, Nino Krvavica
DOI: https://doi.org/10.32762/zt.2025.5
Stranice:
Sažetak
Sprudovi u rijekama nastaju kao rezultat složenih interakcija između toka vode, transporta sedimenta i morfologije korita. Zbog promjena u meteorološkim, hidrološkim te morfološkim procesima u slivu rijeke Kupe, nužno je evaluirati njihov utjecaj na povećanje opasnosti i rizika od poplava. Kroz ovo istraživanje, provedena je procjena utjecaja uklanjanja nanosa na hidrauličke karakteristike rijeke Kupe i pojavu poplava na tri lokacije: ušće Čabranke u Kupu, ušće Velike Belice u Kupu, ušće Kupice u Kupu. Analiziran je utjecaj uklanjanja nanosa za tri geometrije korita: postojeće stanje, djelomično uklanjanje nanosa (gornji sloj debljine 1m) i potpuno uklanjanje nanosa. Modeliranje je provedeno pomoću 2D hidrauličkog modela nestacionarnog toka vode, odnosno računalnog modela HEC-RAS 6.6. Rezultati analize su pokazali da uklanjanje nanosa ima minimalan utjecaj na smanjenje razine vode te obuhvat poplava, odnosno na smanjenje poplavnog rizika na navedenim lokacijama.
Ključne riječi: rijeka Kupa, uklanjanje nanosa, opasnost od poplava, rizik od poplava
Abstract
This paper presents the monitoring of the construction process, examples of its automation and examples of the application of digital object recognition technology in construction monitoring. Given that the construction industry is usually characterized by low productivity, cost overruns, missing deadlines and the emergence of unexpected problems, it can be said that timely monitoring is the key to project success. With quality monitoring, it is possible to plan costs, deadlines and resources more successfully, and use data from previous projects in similar new for improved plans. The emergence of new technologies leads to the automation of monitoring, the application of which enables the reduction of costs, project duration and detailed collection of data on existing buildings. In addition to automating the monitoring of the construction process, it is also possible to automate the updating of plans during construction, which enables continuous monitoring of the progress or execution of each element and the entire building with the shift of planned deadlines. Digital object recognition technology has found its application in monitoring the construction process and has shown significant improvements in terms of increasing efficiency, quality and safety in the project.
Keywords: construction process monitoring, object detection, automation of monitoring
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