2022
DOI: 10.1155/2022/2659203
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Participatory Landslide Inventory (PLI): An Online Tool for the Development of a Landslide Inventory

Abstract: A landslide inventory is a detailed register of the spatial distribution, geometry, and attributes of landslides and is essential for landslide hazard analysis, risk management, regional planning, and land use management and development, especially in landslide-prone regions. However, the development of a national landslide inventory is time-consuming and costly. Accordingly, most developing countries, including Sri Lanka, have basic landslide databases, which identify the location, date, and time of occurrenc… Show more

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Cited by 6 publications
(4 citation statements)
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“…Various studies have emphasized the significance of incorporating landslide probability and mobility into hazard assessment and risk management strategies [37][38][39]. Landslide density is indicative of both the likelihood of landslide occurrence and the spatial distribution of landslide hazards.…”
Section: Strengths Limitations and Future Prospectsmentioning
confidence: 99%
See 1 more Smart Citation
“…Various studies have emphasized the significance of incorporating landslide probability and mobility into hazard assessment and risk management strategies [37][38][39]. Landslide density is indicative of both the likelihood of landslide occurrence and the spatial distribution of landslide hazards.…”
Section: Strengths Limitations and Future Prospectsmentioning
confidence: 99%
“…Sri Lanka has a very old geology (over 2 billion years old) [35,36] compared with the geologically young previously researched areas. In Sri Lanka, a comprehensive early warning system [37] and hazard zonation mapping are actively undertaken during landslides [38]; however, detailed data and inventories of landslides are still generally lacking [39].…”
Section: Introductionmentioning
confidence: 99%
“…In his article, he developed a web application for the efficient development of a slippage inventory in an economical way. [17][18][19] Based on Ref. 20 their multi-item inventory model thakes into account warehouse capacity constraints, demand uncertainty, and lead times.…”
Section: Introductionmentioning
confidence: 99%
“…The AI decision-support system utilizes optimization methods to determine the most economical inventory rules tailored to specific firm objectives and constraints. The model utilizes mathematical optimization techniques to generate optimal solutions that address conflicting objectives and compromises, such as reducing carrying costs, preventing stockouts, and optimizing order quantities [6]- [10]. The system may adjust to evolving market conditions and growing business needs through ongoing analysis of data feedback and enhancing its suggestions, resulting in long-term performance enhancement.…”
Section: Introductionmentioning
confidence: 99%