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RETRACTED ARTICLE: Evaluation of mangrove wetland potential based on convolutional neural network and development of film and television cultural creative industry

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This article was retracted on 30 October 2021

An Editorial Expression of Concern to this article was published on 28 September 2021

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Abstract

Convolutional neural network is a deep learning network, which is more suitable for image and speech processing. Image classification is one of the main research areas of visual artificial intelligence, with many applications, such as scene detection and robot vision enhancement. This paper proposes a new convolutional neural network to evaluate the potential of mangrove wetlands and discusses the development of the network in the film and television cultural and creative industries. Mangrove wetland is a special type of marine wetland centered on mangrove plant communities in tropical and subtropical coasts and intertidal zones of estuaries. They play an important role and play an important role in providing food, protecting wild germplasm resources, and population survival. Over the years, due to population pressure and economic development, the quality of mangrove wetlands has declined, the area has shrunk, and the restoration of mangrove wetlands has become a global hot spot. The development of the film and television industry is an important way to promote China’s cultural innovation. It is essential for strengthening the country’s soft power and improving China’s international image. However, due to the influence of many factors, the development of China’s film and television cultural creation industry is slow, and the development process is lagging behind. In recent years, the country has considered the development level of the cultural industry as an important development strategy, and has been taking various measures to promote the development of the film and television cultural industry. The creative film and television industry should be aware of its responsibility for cultural dissemination, actively learn from foreign industry development experience, and explore a scientific development system that meets China’s development needs and actual national conditions.

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References

  • Alijani B (1988) Using dispersion using Middle East cyclone locations with high-level air systems. Nurmax Res Center 4:125–143 (In Persian)

    Google Scholar 

  • Al-Khalaf A, Basset H (2013) Diagnostic study of a severe thunderstorm over Jeddah. Atmos Clim Sci 3:150–164

    Google Scholar 

  • Almazroui M, Raju PVS, Yusef A, Hussein MAA, Omar M (2018) Simulation of extreme rainfall event of November 2009 over Jeddah, Saudi Arabia: the explicit role of topography and surface heating. Theor Appl Climatol 132:89–101. https://doi.org/10.1007/s00704-017-2080-2

    Article  Google Scholar 

  • Alpert BU, Neeman Y, Shay-El (1990) Intermonthly variability of cyclone tracks in the Mediterranean. J Clim 3(12):1474–1478

    Article  Google Scholar 

  • Amiri H (2008) Synoptic study of flooding in the catchment area of Zohreh River, Master Thesis in Natural Geography, Shahid Beheshti University

  • Ansari, S, (2003). Synoptic investigation of flooding systems in Kohgiluyeh and Boyer Ahmad Basin, MSc in Natural Geography, Tarbiat Moallem University.

  • Awad AM, Almazroui M (2016) Climatology of the winter Red Sea trough. Atmos Res 182:20–29. https://doi.org/10.1016/j.atmosres.2016.07.019

    Article  Google Scholar 

  • Awad AA, Mashat AW (2018) Climatology of the autumn Red Sea trough. Theor Appl Climatol 135:1545–1558. https://doi.org/10.1007/s00704-018-2453-1

    Article  Google Scholar 

  • Barth HJ, Steinkohl F (2004) Origin of winter precipitation in the central coastal lowlands of Saudi Arabia. J Arid Environ 57:101–115

    Article  Google Scholar 

  • Chakraborty A, Behera SK, Mujumdar M, Ohba R, Yamagata T (2006) Diagnosis of tropospheric moisture over Saudi Arabia and influences of IOD and ENSO. Mon Weather Rev 134:598–617

    Article  Google Scholar 

  • Darand M, Garcia-Herrera R, Asakereh H, Amiri R, Barriopedro D (2018) Synoptic conditions leading to extremely warm periods in Western Iran. Int J Climatol 38:307–319

    Article  Google Scholar 

  • Dayan U, Abramsky R (1983) Heavy rain in the Middle East related to unusual jet stream properties. Bull Am Meteorol Soc 64(10):1133–1140

    Article  Google Scholar 

  • Dayan U, Ziv B, Margalit A, Morin E, Sharon D (2001) A severe autumn storm over the Middle-East: synoptic and mesoscale convection analysis. Theor Appl Climatol 69:103–122

    Article  Google Scholar 

  • De Vries AJ, Feldstein SB, Riemer M, Tyrlis E, Sprenger M, Baumgart M, Fnais M, Lelieveld J (2016) Dynamics of tropical–extratropical interactions and extreme precipitation events in Saudi Arabia in autumn, winter and spring. Q J R Meteorol Soc 142:1862–1880

    Article  Google Scholar 

  • El-Fandy, M. G (1947) The effect of the Sudan monsoon low on the development of thundery conditions in Egypt, Palestine and syr1.a.

  • El-Fandy MG (1950) Effects of topography and other factors on the movement of lows in the Middle East and Sudan. Bull Am Meteorol Soc 10:375–381

    Article  Google Scholar 

  • Evans JP, Smith RB (2006) Water vapor transport and the production of precipitation in the eastern fertile crescent. J Hydrometeorol 7:1295–1307

    Article  Google Scholar 

  • Evans JP, Smith RB, Oglesby RJ (2004) Middle East climate simulation and dominant precipitation processes. Int J Climatol 24:1671–1694

    Article  Google Scholar 

  • Faraji, I (1981) Investigating the path of low-pressure generator systems on Iran and providing patterns of their position, MSc Thesis, Institute of Geophysics, University of Tehran.

  • Haggag M, El-Badry H (2013) Mesoscale numerical study of quasistationary convective system over Jeddah in November 2009. Atmos Clim Sci 3(1):73–86

    Google Scholar 

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Correspondence to Xiaoxiong Zhao.

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Responsible Editor: Sheldon Williamson

This article is part of the Topical Collection on Environment and Low Carbon Transportation

This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12517-021-08716-6

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Xiao, X., Zhao, X. RETRACTED ARTICLE: Evaluation of mangrove wetland potential based on convolutional neural network and development of film and television cultural creative industry. Arab J Geosci 14, 1135 (2021). https://doi.org/10.1007/s12517-021-07410-x

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  • DOI: https://doi.org/10.1007/s12517-021-07410-x

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