Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Aida Hosseini Baghanam"'
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 4, Pp 1772-1796 (2024)
This study examines two downscaling techniques, convolutional neural networks (CNNs) and feedforward neural networks for predicting precipitation and temperature, alongside statistical downscaling as a benchmark model. The daily climate predictors we
Externí odkaz:
https://doaj.org/article/56bd63f7aa27486998d5ee30d09f006c
Publikováno v:
Hydrology Research, Vol 53, Iss 9, Pp 1186-1202 (2022)
Point precipitation frequency estimates (PPFEs) are used in the design of stormwater drainage infrastructures. The PPFEs for 1-year to 1,000-year recurrence intervals with durations ranging from 5 min to 60 days are published in the National Oceanic
Externí odkaz:
https://doaj.org/article/63fcbcb5aa3c4354818b42aa266cb232
Publikováno v:
آب و فاضلاب, Vol 33, Iss 2, Pp 75-88 (2022)
Landfills can be considered as a potential threat to groundwater resources, considering the potential of groundwater pollution by leachate with the pollutants such as hydrocarbons and heavy metals. In this study, spatial changes in groundwater qualit
Externí odkaz:
https://doaj.org/article/bc11e6635f4743c29734994513069c05
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 309 (2023)
This study investigates the vulnerability of Alberta province in Canada to extreme weather events, particularly drought, which has historically caused significant financial losses. Accurate simulating techniques are crucial for obtaining reliable res
Externí odkaz:
https://doaj.org/article/3d3296b95bf24bdd8e86925ead3709b6
Publikováno v:
Hydrology Research, Vol 53, Iss 3, Pp 385-406 (2022)
One of the challenging issues in statistical downscaling of climate models is to select dominant large-scale climate variables (predictors). Correlation-based methods have been revealed to be efficacious to select the predictors; however, traditional
Externí odkaz:
https://doaj.org/article/5d2fb1961cc1423aa727f2370f254c38
Publikováno v:
Journal of Urban and Environmental Engineering, Vol 8, Iss 2, Pp 198-210 (2014)
In this study the performance of ANN with feed-forward neural network (FFNN) algorithm evaluated rainfall-runoff modeling in five gauging stations in Florida State. In addition, for investigating the performance of ANN in multi-station discharge pred
Externí odkaz:
https://doaj.org/article/e162301d64194fe683aa696520b18bf7
Publikováno v:
Environmental Science and Pollution Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37533215f4c405e5c7de2e93b4d1444
https://doi.org/10.1007/s11356-023-26236-6
https://doi.org/10.1007/s11356-023-26236-6
Publikováno v:
Sustainability; Volume 14; Issue 15; Pages: 9411
This paper represents a streamflow prediction model with the approach of ensemble multi-GCM downscaling and system dynamics (SD) for the Aji-Chay watershed located in northwest Iran. In this study, firstly, the precipitation and temperature projectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab0f87bf5453afa090f872d582a210e
Publikováno v:
Engineering Applications of Artificial Intelligence. 122:106104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c42cf48a56038c5dbf1d3dce0f271a4
https://doi.org/10.1016/j.engappai.2023.106104
https://doi.org/10.1016/j.engappai.2023.106104
Publikováno v:
Theoretical and Applied Climatology. 141:1135-1150
Due to the spatial-temporal inadequacy of large-scale general circulation models (GCMs), linking large-scale GCM data with small-scale local climatic data has found great interest. In this paper, in order to downscale minimum and maximum temperatures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::325e7f5a56524879aafec425ed75ebd0
https://doi.org/10.1007/s00704-020-03271-8
https://doi.org/10.1007/s00704-020-03271-8