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RETRACTED ARTICLE: Groundwater quality characteristics based on remote sensing images and influencing factors of English network autonomous learning

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Arabian Journal of Geosciences Aims and scope Submit manuscript

This article was retracted on 03 November 2021

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

This article has been updated

Abstract

Water resources are irreplaceable basic resources, and the problem of water resources is the most serious resource problem faced by mankind in this century. By regulating and storing water, regional water resources can be used appropriately, which is one of the effective measures to solve the problem of water shortage. As an advanced earth science technology, remote sensing technology is currently the most effective earth observation technology and information collection method, and it is widely used in the field of water management and storage. In this article, emergency groundwater sources in specific areas are used as research areas to collect, sort, and analyze regional geological and hydrogeological data. Remote sensing technology is used to accurately process the elements of groundwater source and flow, the numerical model of the size in the study area and the assumed limitations to create a model, and the best management and storage of water resources in the study area, and to determine the sustainability of groundwater resources use. Since the end of the twentieth century, network technology has been widely used in English teaching, and the network autonomous learning system has gradually become an important part of foreign language teaching reform. Autonomous online learning is a teaching method in which learners use online and multimedia tools to learn independently, solve problems, and use independent online resources to develop their skills. It emphasizes the dominance of students, eliminates the constraints of time and space, and crosses the boundary between the classroom and the outside. It provides students with a supportive environment and environment for them to choose materials and methods that suit their learning needs.

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Acknowledgements

Dongying Science Development Fund: Research on the Cultivation Path of International Talents under the Background of Cultural Tourism Industry Development (DJ2020023)

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Authors and Affiliations

  1. School of Basic Science, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257000, Shandong, China

    Xu Xin

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  1. Xu Xin
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Correspondence to Xu Xin.

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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/s12517-021-08702-y"

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Xin, X. RETRACTED ARTICLE: Groundwater quality characteristics based on remote sensing images and influencing factors of English network autonomous learning. Arab J Geosci 14, 1029 (2021). https://doi.org/10.1007/s12517-021-07362-2

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  • DOI: https://doi.org/10.1007/s12517-021-07362-2

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