A Conceptual Digital Framework for Near Real-Time Monitoring and Management of Mine Tailing Storage Facilities

Atif, Iqra; Ashraf, Hamid; Cawood, Frederick; Mahboob, Muhammad Ahsan

doi:10.1007/978-3-030-60839-2_27

Cited by 1 publication

(1 citation statement)

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“…Presently, when numerous programs for the development of territories in Asian Russia are being elaborated, structured spatial data allowing automation and significant improvement of the quality of management decisions are of great demand. Such decisions, based on spatial expert systems (ES) and knowledge bases, make it possible to reveal the attractiveness of a certain territory, its economic capacity, possible weaknesses and environmental factors affecting the object under study, as well as establish their cause-effect relations (Diao et al 2009;Atif et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling of Landslide Slope Dynamics and Sustainable Development of Territories of Asian Russia

Хорошилов

Karpik

Musikhin

2021

Preprint

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The possibilities of applying the results of modeling the landslide stress-strain state to predict landslide hazard and make management decisions under intensive and spatial development of the territories of Asian Russia are considered. Economic and spatial development of the territories concerning reorganization or formation of economically viable components of various production chains require careful consideration of their safe and continuous operation. In this respect, great attention is paid to the studies on exogenous geological processes under the complex geomorphic conditions that can have a substantial impact on the operation of production chain links. The authors present a technique for modeling a landslide slope movement caused by anthropogenic impact. The revealed patterns in which influencing factors affect vertical displacements of landslide points created the conditions for their description at a new qualitative level. Mathematical modeling of landslide slope movement is based on the dynamic-type prediction model. This made it possible to predict the displacements of observed landslide points with sufficient accuracy. Based on a geo-cognitive safety monitoring of production chain links primarily important for the social and economic development of territories, the possibility of using the prediction models of the landslide slope stress-strain behavior as a "solver" in expert systems for forecasting landslide danger when making management decisions is shown.

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Section: Introductionmentioning

confidence: 99%