Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mahsa Jahandideh Tehrani"'
Publikováno v:
Archives of Acoustics, Vol vol. 47, Iss No 1, Pp 33-42 (2022)
The study aims to estimate metal foam microstructure parameters for the maximum sound absorption coefficient (SAC) in the specified frequency band to obtain optimum metal foam fabrication. Lu’s theory model is utilised to calculate the SAC of metal
Externí odkaz:
https://doaj.org/article/66735e8fc0394c15bd4c8d2875fe34a5
Publikováno v:
Optimization and Engineering. 22:29-50
Real-time and short-term prediction of river flow is essential for efficient flood management. To obtain accurate flow predictions, a reliable rainfall-runoff model must be used. This study proposes the application of two evolutionary algorithms, par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8117f5efef22484910bb205ca3759e5b
https://doi.org/10.1007/s11081-020-09538-3
https://doi.org/10.1007/s11081-020-09538-3
Autor:
Mahsa Jahandideh Tehrani, Omid Bozorg-Haddad, Santosh Murlidhar Pingale, Mohammed Achite, Vijay P. Singh
Publikováno v:
Climate Change in Sustainable Water Resources Management ISBN: 9789811918971
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2da90b43cfe0c3a0a382c25956262fd
https://doi.org/10.1007/978-981-19-1898-8_11
https://doi.org/10.1007/978-981-19-1898-8_11
Autor:
Mahsa Jahandideh Tehrani, Omid Bozorg-Haddad, Santosh Murlidhar Pingale, Mohammed Achite, Vijay P. Singh
Publikováno v:
Climate Change in Sustainable Water Resources Management ISBN: 9789811918971
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cc3bf1f2e48bed8890612700fd52649
https://doi.org/10.1007/978-981-19-1898-8_6
https://doi.org/10.1007/978-981-19-1898-8_6
Autor:
Mahsa Jahandideh-Tehrani
Publikováno v:
Journal of Hydrologic Engineering. 26
The discusser would like to thank the valuable work of the original paper on quantifying the impacts of climate change and human activities on runoff variations. Many studies have analyzed the impacts of climate change or human activities in the upst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0d9ec5c89649a04d17256fb3f2bbb02
https://doi.org/10.1061/(asce)he.1943-5584.0002095
https://doi.org/10.1061/(asce)he.1943-5584.0002095
Publikováno v:
Environmental Monitoring and Assessment. 192
Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm inspired by the interactions of individuals in a social world. This algorithm is widely applied in different fields of water resources problems. This paper pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::967f3469aea581d95385b307ad7ee0a5
https://doi.org/10.1007/s10661-020-8228-z
https://doi.org/10.1007/s10661-020-8228-z
Publikováno v:
Science of The Total Environment. 777:146223
Estimating the most likely impacts of climate change on the hydrological conditions of catchments is essential for efficient future water management. This is particularly important in Southeast Queensland, Australia, which is projected to be signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60d87f8010b235962d606dc0b8572985
https://doi.org/10.1016/j.scitotenv.2021.146223
https://doi.org/10.1016/j.scitotenv.2021.146223
Publikováno v:
Environmental Monitoring and Assessment. 191
Tropical regions are characterized by hydrological extreme events, which are likely to be exacerbated by climate change. Therefore, quantifying the extent to which climate change may damage a hydrological system becomes crucial. This paper aims to ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d618c6f6264be5b97bb6fe2f708e5b21
https://doi.org/10.1007/s10661-019-7841-1
https://doi.org/10.1007/s10661-019-7841-1
Publikováno v:
Environmental monitoring and assessment. 192(2)
Hydrodynamic modelling is a powerful tool to gain understanding of river conditions. However, as widely known, models vary in terms of how they respond to changes and uncertainty in their input parameters. A hydrodynamic river model (MIKE HYDRO River
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e363bfc1e03184e206604cdf6773fbf5
https://pubmed.ncbi.nlm.nih.gov/31912301
https://pubmed.ncbi.nlm.nih.gov/31912301
Publikováno v:
Environmental monitoring and assessment. 191(7)
Evolutionary algorithms (EAs) have been widely used to search for optimal strategies for the planning and management of water resources systems, particularly reservoir operation. This study provides a comprehensive diagnostic assessment of state of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7166b23b2d92b3958bcdae294273bf55
https://pubmed.ncbi.nlm.nih.gov/31203466
https://pubmed.ncbi.nlm.nih.gov/31203466