Temat: 92.40.QP - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Cross-Drainage Culvert Design by Using GIS
Autorzy:: Günal, M.
Ay, M.
Günal, A.
Powiązania:: https://bibliotekanauki.pl/articles/1031809.pdf
Data publikacji:: 2017-09
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 92.40.FB
92.40.QP
07.05.MH
Opis:: A culvert is a structure that allows water to flow under a road, railroad, trail, or similar obstruction, from one side to the other side. Typically embedded, so as to be surrounded by soil, a culvert may be made from a pipe, reinforced concrete or other material. In order to minimize the impact of a water crossing on the environment, culverts require the proper size, design and installation, to ensure that they do not cause downstream erosion, upstream flood, alter stream habitat or block organism passage. In this study, the size of a box culvert has been determined by getting more realistic maximum flow rates, by using data of a geographic information system. The results of this study have been compared with the rational method. The size of the culvert, which is calculated by using data from geographic information system will be more realistic and efficient, compared to the culvert, calculated by rational method.
Źródło:: Acta Physica Polonica A; 2017, 132, 3; 595-598
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Multi-output neural networks for estimation of synthetic unit hydrograph parameters: A case study of a catchment in Turkey
Autorzy:: Güven, A.
Günal, A.
Günal, M.
Powiązania:: https://bibliotekanauki.pl/articles/1054964.pdf
Data publikacji:: 2017-09
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 92.40.FB
92.40.QP
07.05.MH
Opis:: For developing unit hydrographs of catchments, the detailed information about the rainfall and the resulting flood hydrographs are needed. Such information, however, is available only for a few locations and for the remote locations such information is normally very scanty. In this study, Snyder based synthetic unit hydrographs were developed by using both, the digitized map and the digital elevation model of a case study of a small catchment in Turkey. Multi-output neural network technique was applied to predict three unit hydrograph parameters: peak discharge q_{p}, time to peak t_{p} and time base t_{b} of a number of unit hydrographs observed in the catchment, based on most relevant geomorphological and meteorological parameters. Multi-output neural network was observed to outperform the conventional synthetic unit hydrograph methods. The advantage of the proposed multi-output neural network is based on the fact that it predicts the three parameters of the unit hydrograph, based on a single model, compared to the conventional neural network technique, which utilizes a model for each parameter.
Źródło:: Acta Physica Polonica A; 2017, 132, 3; 591-594
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

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