Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Isam I. Omran"'
Publikováno v:
Water Practice and Technology, Vol 16, Iss 2, Pp 681-691 (2021)
Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine the autoregressive and moving average models to a stationary time series after the appropriate transformation, while the nonlinear autoregressive (N.A.R.) or the autoregressi
Externí odkaz:
https://doaj.org/article/a613905017184edbacb8dcbf89c3c9c5
Publikováno v:
Water Practice and Technology, Vol 16, Iss 2, Pp 648-660 (2021)
Sustainable development is based on environmental, social, economic, and technical dimensions. In this study, the sustainability of wastewater treatment techniques in urban areas of Iraq was assessed using a multi-criteria decision analysis (MCDA)/th
Externí odkaz:
https://doaj.org/article/21058ac8cb5f4931b0b779a20b8c381c
Autor:
Isam I. Omran, Dhiya Al-Jumeily, Nabeel H. Al-Saati, Rafid Al Khaddar, Khalid S. Hashim, Zainab N. Al-Saati, Felicite Ruddock, M. Aljefery Felicite Ruddock, Andy Shaw, Patryk Kot, Mohammed Hashim Aljefery
Publikováno v:
DESALINATION AND WATER TREATMENT. 168:165-174
The Great Al- Mussaib Channel (GMC), in Babylon province, Iraq, has been selected as a case study to measure the concentration of nine heavy metals (Pb, Ni, Zn, Fe, Cd, Cr, Cu, Mn and Co) in both water and sediments of the GMC. The latter is used as
Publikováno v:
Water Practice and Technology, Vol 16, Iss 2, Pp 648-660 (2021)
Sustainable development is based on environmental, social, economic, and technical dimensions. In this study, the sustainability of wastewater treatment techniques in urban areas of Iraq was assessed using a multi-criteria decision analysis (MCDA)/th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10f9a6d098a4d6ce5e2752c691486ce
Publikováno v:
Water Practice and Technology, Vol 16, Iss 2, Pp 681-691 (2021)
Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine the autoregressive and moving average models to a stationary time series after the appropriate transformation, while the nonlinear autoregressive (N.A.R.) or the autoregressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f524b467fc6d38477bec8fdf1822acf
https://researchonline.ljmu.ac.uk/id/eprint/14484/1/Accepted.pdf
https://researchonline.ljmu.ac.uk/id/eprint/14484/1/Accepted.pdf