Data assimilation application in prediction of flowrate for a sustainable groundwater resource: Falaj Al-Khatmain, Oman-Reference-Cited by-同舟云学术

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Data assimilation application in prediction of flowrate for a sustainable groundwater resource: Falaj Al-Khatmain, Oman

Published:2023-09-12 Issue:5 Volume:9 Page:
ISSN:2363-5037
Container-title:Sustainable Water Resources Management
language:en
Short-container-title:Sustain. Water Resour. Manag.

Author:

Mohtashami Ali,Al-Ghafri Abdullah Saif,Al-Shabibi Ishaq,Al-Rawahi Amjad Salim

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Renewable Energy, Sustainability and the Environment

Link

https://link.springer.com/content/pdf/10.1007/s40899-023-00943-x.pdf

Reference45 articles.

1. Abdel-Fattah MK, Mokhtar A, Abdo AI (2021) Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt. Environ Sci Poll Res 28(1):898–914. https://doi.org/10.1007/s11356-020-10543-3

2. Aghelpour P, Varshavian V (2020) Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series. Stoch Env Res Risk Assess 34:33–50. https://doi.org/10.1007/s00477-019-01761-4

3. Al-Amri S, Al-Ghafri A, Abd Rahman N (2014) Water Management of Falaj Al Khatmain in Sultanate of Oman. J Earth Sci Eng 4:127–133

4. Al-Ghafri AS (2004) Study on Water Distribution Management of Aflaj Irrigation Systems of Oman. Hokkaido University, Sapporo, Japan

5. Al-Ghafri AS (2005) Aflaj in Oman: History, Engineering and Management (in Arabic). Nizwa (cultured Journal) 44:11–20

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