Dynamic Spatial Modeling of Optimal Locations for Territorial Planning Ordering of the Industrial Waste in a Mining City

Proceedings

Estay, Rodrigo¹  Pérez, Marcelo²  Encina, Víctor³ 

[1]Author to whom correspondence should be addressed.

[2]Department of Metallurgical Engineering and Materials, Federico Santa María Technical University, Santiago 8940000, Chile

[3]Presented at Environment, Green Technology and Engineering International Conference (EGTEIC 2018), Caceres, Spain, 18–20 June 2018.

关键词: GIS;    Multi-Criteria Evaluation;    Cellular Automata;    sustainable mining;    territorial ordering;    optimal location of mining wastes;   

DOI  :  10.3390/proceedings2201292

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

In mining, the decrease in the quality of grades has led to further deepening of the existing deposits, determining the existence of a greater quantity of waste, increasing the probability of contact between the waste and the environment, communities and productive soils. For this reason, we propose new logics to organize mining spaces, employing Multi-Criteria Evaluation techniques, risk assessment and the integration of spatial data into the Geographic Information System, with the purpose of determining the optimal locations of industrial waste deposit. Also, using cellular automata, we define a sustainable logistic plan for the dynamic distribution of waste, evaluating the interaction of a determined rhythm of waste production, with the variable dynamic of the wind. In conclusion, a new methodology of systematic vision is created for the planning and territorial ordering of future mining projects.

【 授权许可】

CC BY