| dc.contributor.author | Ebrahimi, Mojtaba | en_US |
| dc.contributor.author | Mohammad Pour, Reza | en_US |
| dc.date.accessioned | 1399-07-08T19:12:45Z | fa_IR |
| dc.date.accessioned | 2020-09-29T19:12:45Z | |
| dc.date.available | 1399-07-08T19:12:45Z | fa_IR |
| dc.date.available | 2020-09-29T19:12:45Z | |
| dc.date.issued | 2017-07-01 | en_US |
| dc.date.issued | 1396-04-10 | fa_IR |
| dc.date.submitted | 2017-07-11 | en_US |
| dc.date.submitted | 1396-04-20 | fa_IR |
| dc.identifier.citation | Ebrahimi, Mojtaba, Mohammad Pour, Reza. (2017). The use of wavelet-artificial neural network and adaptive neuro-fuzzy inference system models to predict monthly precipitation. Journal of Water Science & Engineering, 7(16), 21-32. | en_US |
| dc.identifier.issn | 2251-6905 | |
| dc.identifier.uri | http://wsej.iauahvaz.ac.ir/article_538168.html | |
| dc.identifier.uri | https://iranjournals.nlai.ir/handle/123456789/61585 | |
| dc.description.abstract | In water supply systems, One of the most important components as safety unit and the current controller (Switching flow and regulate the amount of flow) used in the arrangement of lines of water. In this study, according to multiple ponds in Tanguiyeh dam water pipeline to industrial and mining company Gol Gohar Sirjan Butterfly valve used in these ponds using Fluent software simulation has been the case. Flow characteristics such as speed, pressure and turmoil in the different modes of separation is studied. Current results show that Speed in opening and closing the valve will be rises. In the study of pressure was also observed that by closing valves pressure reduced in the gate valves. | en_US |
| dc.format.extent | 1002 | |
| dc.format.mimetype | application/pdf | |
| dc.language | English | |
| dc.language.iso | en_US | |
| dc.publisher | Islamic Azad University, Ahvaz Branch | en_US |
| dc.publisher | دانشگاه آزاد اسلامی واحد اهواز | fa_IR |
| dc.relation.ispartof | Journal of Water Science & Engineering | en_US |
| dc.relation.ispartof | فصلنامه تخصصی علوم و مهندسی آب | fa_IR |
| dc.subject | Butterfly valve | en_US |
| dc.subject | Valves gate | en_US |
| dc.subject | Numerical modeling | en_US |
| dc.subject | Model k-ε | en_US |
| dc.subject | Turbulence | en_US |
| dc.title | The use of wavelet-artificial neural network and adaptive neuro-fuzzy inference system models to predict monthly precipitation | en_US |
| dc.type | Text | en_US |
| dc.type | Original Article | en_US |
| dc.citation.volume | 7 | |
| dc.citation.issue | 16 | |
| dc.citation.spage | 21 | |
| dc.citation.epage | 32 | |