Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

Current Situation Analysis and Potential Solutions of Desertification in Inner Mongolia---Based on Big Data Analysis Methods

Authors
Yuehan Diao1, *
1WLSA Shanghai Academy, Shanghai, 200000, China
*Corresponding author. Email: ld20045757@foxmail.com
Corresponding Author
Yuehan Diao
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_95How to use a DOI?
Keywords
desertification; Inner Mongolia; environmental protection
Abstract

Desertification has long been a destructive environmental issue in Inner Mongolia. It turns fertile soil into arid sand, aggravates sandstorms, destroys habitats of wildlife, and threatens the normal living of Inner Mongolian residents. To overcome this natural crisis, the public is actively searching for possible ways to weaken the bad impacts desertification leaves on the soil and protect the rest of the grassland. This paper aims to closely analyse the environment of Inner Mongolia experiencing land degradation and propose practical solutions to fight desertification. The author uses big data analysis to read and compare information on the environmental conditions of Inner Mongolia in the past 20 years. Combining the collection of studies with relevant knowledge in chemistry, biology, economics, and environmental science, the author comes up with resolutions potentially effective in solving desertification. Finally, the paper reaches the conclusion that desertification still exists and harms both nature and human life in Inner Mongolia. However, the region continues to recover from the severe environmental destruction as society starts to take action against the crisis. With more settlements emerging based on careful research, it is reasonable to believe that one day Inner Mongolia can rebuild the broad prairie and no longer suffer from desertification.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_95
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_95How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yuehan Diao
PY  - 2022
DA  - 2022/12/27
TI  - Current Situation Analysis and Potential Solutions of Desertification in Inner Mongolia---Based on Big Data Analysis Methods
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 931
EP  - 940
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_95
DO  - 10.2991/978-94-6463-064-0_95
ID  - Diao2022
ER  -