Published

2023-08-16

Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things

Estrategias de restauración ecológica en regiones de desertificación de rocas solubles bajo el contexto de los macrodatos y el internet de las cosas

DOI:

https://doi.org/10.15446/esrj.v27n2.108083

Keywords:

big data, Internet of Things, rock-soluble stone desertification, ecological repair, comprehensive governance, southwestern China (en)
Macrodatos, internet de las cosas, desertificación de rocas solubles, reparación ecológica, gobernanza integral, suroeste de China (es)

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Authors

  • Guanyao Lu School of Environmental and Chemical Engineering, Foshan University, Foshan 528000, China

As the focus and difficulty of global ecological governance, rock-soluble graphite ecological issues have been plagued by the research and exploration of ecologists for many years. This article studies the current development status of rock-soluble graphite. Features and laws targeted implementing the ecological restoration strategies of rock-soluble graphite regions under the background of big data and the Internet of Things. By establishing a mathematical analysis model of the total ecological assets, the theoretical research on the restoration process and means of ecology. In the past 20 years, the southwest region’s ecological improvement and governance situation has been summarized and analyzed, and the key aspects and main contents of ecological restoration are analyzed and demonstrated.

Debido al enfoque y a las dificultades que representa en la gobernanza ambiental mundial, los temas ecológicos relacionados con los grafitos solubles de roca han sido ampliamente abordados durante muchos años por los ecologistas. Este artículo estudia el actual desarrollo de los grafitos solubles de roca. Algunas normas buscan implementar estrategias de restauración ecológica de los grafitos solubles de roca bajo el contexto de los macrodatos y el internet de las cosas. Se establece un modelo de análisis matemático del total de las ventajas ecológicas, la investigación teórica del proceso de restauración y medios de la ecología. También se resume y se analizan las mejoras ecológicas y situación de gobernanza en el suroeste de China durante los últimos 20 años además de probarse y analizarse los aspectos claves y contenidos principales de la restauración ecológica.

References

Cao, J. H., & Li, X. Y. (2014). The characteristics, evolution and ecological recovery of the southwest of the rocky ecosystem of China. Ecological Science Progress. – Beijing: Higher Education Press 1, 121-134.

Cao, J. H., Yuan, D. X., & Pei, J. G. (2014). The ecosystem of China’s Southwest Rock Cadefolon Ecosystem restricted by geological conditions. Earth and environment, 2(1), 1-8.

Cao, J. H., & Yuan, D. X. (2015). The southwest rock-soluble ecosystem restricted by geological conditions. Geological Publishing House, Beijing.

Department of Chinese Academy of Sciences. (2018). Several suggestions on promoting comprehensive governance of stone desertification in the southwestern rocky area. Earth Scientific Progress, 8(4), 92.

Guang, Y. H., Guo, C. Q., & Li, W. Q. (2011). Study on the rock soaking disaster. Guangxi Normal University Press, Guilin.

Li, D. W. (2020). A preliminary study of the formation of rock-soluble wind shells. China Rock Dissolving.

Li, M. X. (2006). The development trend of the stone desertification area in the southwest of my country. Central South Forestry Survey Plan, 5(3), 19-22.

Li, Y. H. (2020). The development of Karster’s connotation and Karster ecological environmental protection. Chinese Rocky, 3, 8.

Pei, J. G., & Li, Q. S. (2001). The impact of the ecological environment destroying the waterlogging of the rock-soluble depression. Chinese Rocky 20(4), 4.

Wan, J., Cai, Y. L., & Zhang, H. Y. (2014). Study on the research on land use/land cover of Guanling County, Guizhou Province and the research on the effect of land cover and soil erosion effect. Geographical Science, 4(5), 573-579.

Wang, S. J., Ji, H. J., & Ouyang, Z. Y. (1999). Preliminary study of carbonate rocks into soil. Chinese Science (D series), 29(5), 441-449.

Xu, H. Z. (2015). Xu Xia Ke Journey. Tang Yun School Note. Chengdu Publishing House, Chengdu.

Yuan, D. X., & Cai, G. H. (2018). Rock-soluble environmental studies. Chongqing Technology Press, Chongqing.

Yuan, D. X. (2013). Environmental change and human impact on karst in south China. Karts Terrains, Environmental Changes and Human Impacts. Catena Supplemement, 99-107.

Yuan, D. X. (2017). Rock desertification in the subtropical karst of South China. Ztschrift Fur Geomorphologie, 108, 81-906.

Zhang, W., Qin, X. Q., & Yi, L. X. (2019). The development and utilization of water-soluble water resources in Yunnan, Guizhou, and Guizhou. China University of Geosciences Press, Wuhan.

Zhou, J. Z., & Lv, Y. J. (2003). Cause control and prevention countermeasures of stone desertification. Hunan Geological, 22(1), 43-46.

Zhu, A. G., Lin, C. H., & Yang, H. M. (2014). Comprehensive evaluation and research on the influencing factors of the water and soil loss in the mountainous area of Guizhou. Journal of Soil and Water Conservation, 4, 17-24.

How to Cite

APA

Lu, G. (2023). Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things. Earth Sciences Research Journal, 27(2), 163–168. https://doi.org/10.15446/esrj.v27n2.108083

ACM

[1]
Lu, G. 2023. Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things. Earth Sciences Research Journal. 27, 2 (Aug. 2023), 163–168. DOI:https://doi.org/10.15446/esrj.v27n2.108083.

ACS

(1)
Lu, G. Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things. Earth sci. res. j. 2023, 27, 163-168.

ABNT

LU, G. Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things. Earth Sciences Research Journal, [S. l.], v. 27, n. 2, p. 163–168, 2023. DOI: 10.15446/esrj.v27n2.108083. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/108083. Acesso em: 28 mar. 2025.

Chicago

Lu, Guanyao. 2023. “Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things”. Earth Sciences Research Journal 27 (2):163-68. https://doi.org/10.15446/esrj.v27n2.108083.

Harvard

Lu, G. (2023) “Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things”, Earth Sciences Research Journal, 27(2), pp. 163–168. doi: 10.15446/esrj.v27n2.108083.

IEEE

[1]
G. Lu, “Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things”, Earth sci. res. j., vol. 27, no. 2, pp. 163–168, Aug. 2023.

MLA

Lu, G. “Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things”. Earth Sciences Research Journal, vol. 27, no. 2, Aug. 2023, pp. 163-8, doi:10.15446/esrj.v27n2.108083.

Turabian

Lu, Guanyao. “Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things”. Earth Sciences Research Journal 27, no. 2 (August 16, 2023): 163–168. Accessed March 28, 2025. https://revistas.unal.edu.co/index.php/esrj/article/view/108083.

Vancouver

1.
Lu G. Ecological restoration strategies of rock-soluble stone desertification regions under the background of big data and the Internet of Things. Earth sci. res. j. [Internet]. 2023 Aug. 16 [cited 2025 Mar. 28];27(2):163-8. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/108083

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CrossRef citations1

1. Shtwai Alsubai, Mogeeb A.A Mosleh, Suheer A. Al-Hadhrami, Munish Bhatia. (2025). Artificial Intelligence-inspired Comprehensive Framework for Desertification Prediction. International Journal of Cognitive Computing in Engineering, https://doi.org/10.1016/j.ijcce.2025.02.007.

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