A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides

Abstract

The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focused on methods used for landslide analysis, including physical models requiring easily prepared event-based landslide inventory, probabilistic methods which are useful for both shallow and earthquake-based landslides, and landslide monitoring performed by remote sensing techniques, which provide data helpful for prediction, monitoring and mapping. The fundamental principles of each method are described in terms of the method used, and its advantages, and limits. People and infrastructure are at danger from landslides caused by heavy rain, so this report highlights landslide-prone regions and considers the analysis methods for landslides used in these countries, with a view to identifying mitigation measures for coping with landslide risks in hilly areas. Furthermore, future landslide research possibilities, as well as possible modeling methods, are addressed. The report summarizes some landslide prediction and monitoring techniques used in landslide-prone countries which can help inform researchers seeking to protect the public from danger in landslide areas.

Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China

“…Because socioeconomic conditions vary from region to region in China, spending on disaster prevention and mitigation varies greatly [ 20 ]. The integrated landslide susceptibility zoning map can further demonstrate the RS and NRS landslide susceptibility in different regions and refine the degree of landslide susceptibility in time.…”

“…By reviewing the previous studies and analyzing the occurrence periods of landslides in previous years, it was found that the landslides in Enshi County mainly occurred in the rainy season (RS), which is significantly higher than the landslides that occurred in the non-rainy season (NRS). Moreover, with the aggravation of global warming and climate change, extreme rainfall in the future is more likely to induce a greater risk of landslide occurrence [ 20 ]. Although the current studies pointed out the different landslide distributions in RS and NRS [ 11 , 13 , 21 , 22 , 23 ], there are very rarely studies conducted on landslide susceptibility assessment (LSA) in different periods by consideration of RS and NRS.…”

Recent Phenomenal and Investigational Subsurface Landslide Monitoring Techniques: A Mixed Review

“…The methodology is provided to help researchers improve systematic review reporting through the use of scientometric analysis. Furthermore, it highlights the complexity of conducting manual searches on database engines [21][22][23][24].…”

“…Geology, engineering, environmental science, ecology, meteorology, atmospheric science, geochemistry and geophysics, physical science, and water resources are some of the aspects used to study landslides [24]. Furthermore, as shown in Zou and Zheng's [24] keyword mapping, landslides have a large number of linked terms. As a consequence, the research method began by extracting important studies about landslides from the author's perspective.…”