Evaluation of the cyanide pollution in artisanal mining in La Bola de Igor hill by using GIS and Kriging regression

Authors

  • Ernesto Segundo Wong López Facultad de Ingeniería Química, Universidad Nacional de Trujillo, Av. Juan Pablo II s/n – Ciudad Universitaria, Trujillo, Perú.

Keywords:

cyanide, mining pollution, gold, Geographical Information Systems, Kriging regression

Abstract

This study is based on the evaluation of the environmental impact generated by artisanal gold mining, the origin of environmental pollution being the leaching process with cyanide, through which the water from the watersheds is polluted, agricultural soil is degraded, and cyanide compounds are released. The study area corresponds to the La Bola de Igor hill, Huaranchal, where soil samples were collected to determine the cyanide concentration. Through the use of a Geographic Information System, it was possible to georeference the sampling points and the application of the Kriging regression method to study the propagation dynamics of free cyanide and identify the most affected areas in need of intervention for the restoration of degraded ecosystems. The results indicate that the area with the most significant risk of contamination by cyanide corresponds to the river's vicinity downstream from the source of contamination, exceeding the limits established in Peruvian regulations. Finally, the cyanide contamination maps obtained in this research support decision-making regarding the remediation of environmental pollution in the study area.

References

Abedi, B.; Seifpanahi, K.; Kakaie, R. 2020. Mathematical modeling of fate and transport of cyanide pollu-tant in the gold mine tailings: with emphasis on physico-chemical process. Environmental Earth Sciences 79: 189.

Bou, R.; Shomar, B.; Greve, M.; Greve, M. 2014. On the quantitative relationships between environmental parameters and heavy metals pollution in Mediterranean soils using GIS regression-trees: the case study of Lebanon. Journal of Geochemical Exploration 147: 250-259.

Brugger, F.; Müller, S.; Zanetti, J.; Winkler, M.; Knoblauch, A.; Wehrli, B. 2018. Small-scale gold mining in Burkina Faso: Health effects, environmental burden and socio-economic interactions with agriculture. ETH Zurich. Disponible en: https://www.research-collection.ethz.ch/handle/20.500.11850/282708

COFOPRI – MINAGRI. Comunidades campesinas. Sistema de Información Geográfica de Supervisiones Forestales y de Fauna Silvestre (SISFOR). Organismo de Supervisión de los Recursos Forestales y de Fauna Silvestre - OSINFOR. Disponible en: https://sisfor.osinfor.gob.pe/

Corzo, A. 2015. Impacto de los pasivos ambientales mineros en el recurso hídrico de la microcuenca Que-brada Párac, distrito de San Mateo de Huanchor, Lima. Pontificia Universidad Católica del Perú. Dispo-nible en: http://tesis.pucp.edu.pe/repositorio/handle/20.500.12404/6160

Eppers, O. 2014. Buenas prácticas de gestión ambiental para plantas hidrometalúrgicas de la pequeña mine-ría y minería artesanal que utilizan cianuro. Autoridad Regional Ambiental de Arequipa. Disponible en: http://siar.regionarequipa.gob.pe/documentos/buenas-practicas-gestion-ambiental-plantas-hidrometalurgicas-pequena

Esri, 2020. Cómo funciona Kriging - Conceptos del conjunto de herramientas de interpolación. Esri. Disponi-ble en: https://desktop.arcgis.com/es/arcmap/10.3/tools/3d-analyst-toolbox/how-kriging-works.htm

Giraldo, Ulises. 2017. Minería informal en la cuenca alta del Ramis. Impactos en el paisaje y evolución del conflicto socio ambiental. Pontificia Universidad Católica del Perú. Disponible en:

http://tesis.pucp.edu.pe/repositorio/handle/20.500.12404/9613

Hengl, T.; Heuvelink, G.; Stein, A. 2004. A generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma 120: 75-93.

Johnson, C. 2014. The fate of cyanide in leach wastes at gold mines: An environmental perspective.

Applied Geochemistry 57: 194-205.

Lin, Y.; Cheng, B.; Chu, H.; Chang, T.; Yu, H. 2011. Assessing how heavy metal pollution and human activi-ty are related by using logistic regression and kriging methods. Geoderma 163: 275-282.

Ministerio del Ambiente - MINAM. 2017. Aprueban Estándares de Calidad Ambiental (ECA) para Suelo. Decreto Supremo N° 011-2017-MINAM. Ministerio del Ambiente - MINAM. Disponible en:

https://sinia.minam.gob.pe/normas/aprueban-estandares-calidad-ambiental-eca-suelo-0

Organismo de Evaluación y Fiscalización Ambiental - OEFA. 2016. Guía para la fiscalización ambiental a la pequeña minería y minería artesanal. Organismo de Evaluación y Fiscalización Ambiental. Disponible en:

http://www.oefa.gob.pe/wp-content/uploads/2016/08/Gu%C3%ADa-para-la-fiscalizaci%C3%B3n-ambiental-a-la-PM-y-MA-FINAL-11.08.16.pdf

Organización Mundial de la Salud - OMS. 2017. Riesgos para la salud relacionados con el trabajo y el medio ambiente asociados a la extracción de oro artesanal o a pequeña escala. Organización Mundial de la Sa-lud. Disponible en: https://apps.who.int/iris/handle/10665/259452

Pásztor, L.; Szabó, K.; Szatmári, G.; Laborczi, A.; Horváth, Á. 2016. Mapping geogenic radon potential by regression kriging. Science of the Total Environment 544: 883-891.

Razanamahandry, L.; Andrianisa, H.; Karoui, H.; Podgorski, J.; Yacouba, H. 2018. Prediction model for cyanide soil pollution in artisanal gold mining area by using logistic regression. CATENA 162: 40-50.

Razanamahandry, L.; Digbeu, P.; Andrianisa, H.; Karoui, H.; Podgorski, J.; Manikandan, E.; Maaza, M.; Yacouba, H. 2020. Comparative methods for predicting cyanide pollution in artisanal small-scale gold mining catchment by using logistic regression and kriging with GIS. African Journal of Science, Technolo-gy, Innovation and Development 12: 287-295

Schultz, C.; Alegría, A.; Cornelis, J.; Sahli, H. 2016. Comparison of spatial and aspatial logistic regression models for landmine risk mapping. Applied Geography 66: 52-63.

Published

2021-11-30

How to Cite

Wong López, E. S. (2021). Evaluation of the cyanide pollution in artisanal mining in La Bola de Igor hill by using GIS and Kriging regression. Revista CIENCIA Y TECNOLOGÍA, 17(4), 33-43. Retrieved from https://revistas.unitru.edu.pe/index.php/PGM/article/view/4063

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Artículos Originales