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- Aad, G, et al.
(author)
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- 2015
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swepub:Mat__t
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| 7. |
- Biermann, O, et al.
(author)
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Use of big data on the social determinants of TB to find the "missing millions"
- 2022
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In: The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease. - : International Union Against Tuberculosis and Lung Disease. - 1815-7920. ; 26:12, s. 1194-1196
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Journal article (other academic/artistic)
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| 9. |
- Zeinali, S., et al.
(author)
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Detecting shoreline changes in Chabahar Bay by processing satellite images
- 2017
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In: Scientia Iranica. International Journal of Science and Technology. - : ELSEVIER SCIENCE BV. - 1026-3098 .- 2345-3605. ; 24:4, s. 1802-1809
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Journal article (peer-reviewed)abstract
- Monitoring coastal areas is an important parameter in the sustainable development and protection of the environment. The expansion of constructions in Iran's southern coasts has not only led to the destruction of geomorphological landforms, but has also changed the process of erosion and sedimentation in coastal areas. Nowadays, remote sensing data are considered as the most efficient source of information for the study and interpretation of coastal landforms, tidal levels, changes in coastline, depth of water, and so forth. The purpose of this study is to investigate the changes in the coastline of Chabahar Gulf, located on the coasts of the Oman Sea by using remote sensing techniques. This study examined and interpreted qualitative and quantitative changes of the coastlines in a forty-two-year period. Different supervised classification methods were used from which the most accurate one was ultimately chosen. The classified images were divided into two classes of land and water, and the changes of these two classes between 1972 and 2014 were extracted. The net change results indicate that in the forty-two-year period, 1,832,436 m(2) of the land has been added to water class, and 7,004,844 m(2) of water has been added to land.
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| 10. |
- Zeinali, S., et al.
(author)
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Optimizing the hydraulic power take-off system in a wave energy converter
- 2024
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In: Ocean Engineering. - : Elsevier. - 0029-8018 .- 1873-5258. ; 310
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Journal article (peer-reviewed)abstract
- This study aims to determine the optimal pressure for the accumulator tank in a wave energy converter (WEC) with hydraulic power take-off (PTO) to maximize energy generation. A simulation-based approach was employed to analyze the buoy's performance with wave data generated from the Wafo toolbox using the generalized Pierson–Moskowitz (GPM) spectrum. These data were then fed into a Simulink model of the WEC system. Using output from the Simulink model, concave regression was applied to model the relationship between tank pressure and power output. Subsequently, a regression analysis was performed to model the optimal pressure as a function of wave steepness. The findings indicate a strong dependency of optimal pressure on wave steepness, suggesting that adjusting the accumulator tank pressure according to wave conditions can significantly enhance the WEC's energy output. This research contributes to the ongoing efforts to improve the efficiency of WECs and provides valuable insights for developing adaptive control strategies in WEC systems.
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