Zobrazeno 1 - 10
of 39
pro vyhledávání: '"mahmoud faghfour maghrebi"'
Publikováno v:
آب و فاضلاب, Vol 29, Iss 1, Pp 14-26 (2018)
Nowadays water loss has been turned into a global concern and on the other hand the demand for water is increasing. This problem has made the demand management and consumption pattern reform necessary. One of the most important methods for managing w
Externí odkaz:
https://doaj.org/article/2c1e0f1753574c16a23ac49c14368001
Publikováno v:
آب و فاضلاب, Vol 25, Iss 2, Pp 36-47 (2014)
In this paper the accuracy of leakage detection using Ant Colony Optimization (ACO) has been investigated. The method has been evaluated on two networks consist of a hypothetical and a laboratorial networks. The results have proved the capability of
Externí odkaz:
https://doaj.org/article/b94e9da825af497ca6a13fb50d298658
Publikováno v:
آب و فاضلاب, Vol 23, Iss 1, Pp 24-33 (2012)
Bottom racks is a hydraulic structure which is placed in the bed of stream through which, part of flow in the main channel is diverted. These structures have very wide application in industry, irrigation, drainage and etc. Of course much attention ha
Externí odkaz:
https://doaj.org/article/17cc8ca9ff14456b9a1a0c9d7a2ab755
Publikováno v:
آب و فاضلاب, Vol 21, Iss 2, Pp 71-80 (2010)
The proposed method by Shiono and Knight (SKM) is able to predict the lateral depth-averaged velocity and shear stress distribution in open channels. The SKM is needed to be calibrated. The calibration parameters are friction factor f, lateral eddy v
Externí odkaz:
https://doaj.org/article/e04650e601a240cfa597bee98c12688e
Publikováno v:
آب و فاضلاب, Vol 20, Iss 4, Pp 91-96 (2010)
River bed profiles and depth-averaged velocities are used as basic data in empirical and analytical equations for estimating the longitudinal dispersion coefficient which has always been a topic of great interest for researchers. The simple model pro
Externí odkaz:
https://doaj.org/article/16aa42f9d15045ec9430d7fbc196e3f9
Publikováno v:
آب و فاضلاب, Vol 20, Iss 3, Pp 99-104 (2009)
Water losses are inevitable in urban water distribution systems. The two approaches adopted nowadays to combat this problem include management of hydraulic parameters such as pressure and leakage detection in the network. Intellitgent pressure manage
Externí odkaz:
https://doaj.org/article/0ff263a34ade433b94a9533ca6b5c256
Publikováno v:
Water Practice and Technology, Vol 16, Iss 4, Pp 1307-1326 (2021)
Recently, calibration based methods are considered to determine the quantities and locations of all leakages in a water distribution network (WDN), simultaneously. In this paper, the accuracy of detecting leakages using Ant Colony Optimization (ACO)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d29876084a2b12bc7a64cc18717817
https://doi.org/10.2166/wpt.2021.071
https://doi.org/10.2166/wpt.2021.071
Publikováno v:
Water Science and Engineering, Vol 14, Iss 2, Pp 159-166 (2021)
Conventional methods for measuring local shear stress on the wetted perimeter of open channels are related to the measurement of the very low velocity close to the boundary. Measuring near-zero velocity values with high fluctuations has always been a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8076e0eb947d74fe73e1155d099c2140
https://doi.org/10.1016/j.wse.2021.03.005
https://doi.org/10.1016/j.wse.2021.03.005
Publikováno v:
Environmental Modeling & Assessment. 26:447-458
Calibration of the rating curve is a challenge due to uncertainty in the parameters. This problem increases in an area with considerable seasonal vegetation diversity. In this study, the generalized likelihood uncertainty estimation (GLUE) method was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c7efe6cf544a312c0d7186434961c5e
https://doi.org/10.1007/s10666-021-09770-w
https://doi.org/10.1007/s10666-021-09770-w
One of the essential phases in water resource planning and management is streamflow forecast. It is necessary for the functioning of hydropower plants, agricultural planning, and flood control. The present study applied Artificial Neural Network (ANN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18776447477e72c3845c114865aec1eb
https://doi.org/10.21203/rs.3.rs-1443377/v1
https://doi.org/10.21203/rs.3.rs-1443377/v1
