Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Siamak Razzagh"'
Autor:
Ata Allah Nadiri, Sina Sadeghfam, Venkatramanan Senapathi, Selvam Sekar, Siamak Razzagh, Rahman Khatibi
Publikováno v:
Environmental Science and Pollution Research. 28:18702-18724
A capability for aggregating risks to aquifers is explored in this paper for cases with sparse data exposed to anthropogenic and geogenic contaminants driven by poor/non-existent planning/regulation practices. The capability seeks ‘Total Informatio
Autor:
Ata Allah Nadiri, Fariba Sadeghi Aghdam, Siamak Razzagh, Rahim Barzegar, Nasser Jabraili-Andaryan, Venkatramanan Senapathi
Publikováno v:
Chemosphere. 308(Pt 3)
Water shortage in arid and semi-arid areas like Iran makes groundwater contamination a crucial issue. In the Khoy aquifer, NW Iran, contaminants (e.g., arsenic (As), nitrate (NO
Autor:
Sina Sadeghfam, Atena Bagheri, Siamak Razzagh, Ata Allah Nadiri, Meysam Vadiati, Venkatramanan Senapathi, Selvam Sekar
Publikováno v:
Groundwater Contamination in Coastal Aquifers ISBN: 9780128243879
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc8d2c4629b477343350c4a0f7b637b
https://doi.org/10.1016/b978-0-12-824387-9.00011-6
https://doi.org/10.1016/b978-0-12-824387-9.00011-6
Autor:
Homa Kheyrollah Pour, Martijn J. Booij, Rahim Barzegar, John Quilty, Jan Adamowski, Siamak Razzagh
Publikováno v:
Journal of hydrology, 598:126370. Elsevier
Developing accurate groundwater vulnerability maps is important for the sustainable management of groundwater resources. In this research, resampling methods [e.g., Bootstrap Aggregating (BA) and Disjoint Aggregating (DA)] are combined with machine l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f2f1e5b517f7c420ea6babbd5321560
https://research.utwente.nl/en/publications/dd2e0f54-7a49-4c1d-9a6e-1cd63aa40bf2
https://research.utwente.nl/en/publications/dd2e0f54-7a49-4c1d-9a6e-1cd63aa40bf2
Autor:
Gianluigi Busico, Nerantzis Kazakis, Maria Margarita Ntona, Siamak Razzagh, A. A. Nadiri, Sina Sadeghfam
A two-level modeling strategy is formulated to predict groundwater levels (GWL) within a portion of Lake Urmia’s aquifer in NW Iran during 14years (2001–2015), which both aquifer and lake suffer significant water decline. At Level 1, three artifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4913dc11a0e974a0c32ece2bde37d378
http://hdl.handle.net/11591/464520
http://hdl.handle.net/11591/464520