IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2022i1p4-d1008657.html
   My bibliography  Save this article

Environmental Implications of Saline Efflorescence Associated with Metallic Mining Waste in a Mediterranean Region

Author

Listed:
  • Luis Alberto Alcolea-Rubio

    (Servicio de Apoyo a la Investigación Tecnológica (SAIT), Technical University of Cartagena (UPCT), 30202 Cartagena, Spain)

  • Ana Vanessa Caparrós-Ríos

    (Servicio de Apoyo a la Investigación Tecnológica (SAIT), Technical University of Cartagena (UPCT), 30202 Cartagena, Spain)

  • Virginia Robles-Arenas

    (Departamento de Ingeniería Minera y Civil, Technical University of Cartagena (UPCT), 30202 Cartagena, Spain)

  • Cristóbal García-García

    (Departamento de Ingeniería Minera y Civil, Technical University of Cartagena (UPCT), 30202 Cartagena, Spain)

  • Gregorio García

    (Agronomical Engineering Department, Technical University of Cartagena (UPCT), 30202 Cartagena, Spain)

  • Rocío Millán

    (CIEMAT, Avenida Complutense 40, 28040 Madrid, Spain)

  • Araceli Pérez-Sanz

    (Department of Agricultural Chemistry and Food Science, Autonomous University of Madrid (UAM), 28049 Madrid, Spain)

  • Roberto Rodríguez-Pacheco

    (Spanish National Research Council (CSIC) CN-IGME, Ríos Rosa 23, 28003 Madrid, Spain)

Abstract

Salt efflorescences from metal sulphides and their waste are important drivers of pollution both in and around mining areas. However, little is known about these supergene minerals, particularly in the mining areas of the Mediterranean. This study aims to characterise saline efflorescences and their leachates from a Mediterranean mining area located in Southeast Spain. The physicochemical characteristics were determined using stereomicroscopy and compositional analysis, with the following techniques: XRD, WDXRF and TG-MS. Additionally, to assess the risk and potential mobility of their analytes, the samples were subjected to the leaching test DIN 38414-S4. The results showed that the salt efflorescences presented a wide range of crystalline habits and colours. Sulphates were by far the largest mineral group, followed by silicates, oxides and sulphides. Their geochemistry was dominated by elements such as S or Fe, although other potentially toxic elements such as Cd, As, Zn, Pb, Ni and Cu were also present. Due to their high metal(loid) concentrations, the salt crusts studied may act as sources of environmental contaminants, demonstrating that their leachates pose a considerable risk to soil and drinking water quality. An analysis of the correlations and provenances of the components of the salt efflorescences revealed the possible presence of some rare supergene minerals of great interest, such as cuprocopiapite and Pb-As-jarosite.

Suggested Citation

  • Luis Alberto Alcolea-Rubio & Ana Vanessa Caparrós-Ríos & Virginia Robles-Arenas & Cristóbal García-García & Gregorio García & Rocío Millán & Araceli Pérez-Sanz & Roberto Rodríguez-Pacheco, 2022. "Environmental Implications of Saline Efflorescence Associated with Metallic Mining Waste in a Mediterranean Region," Land, MDPI, vol. 12(1), pages 1-24, December.
  • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:4-:d:1008657
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/4/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/1/4/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rabia Koklu & Bulent Sengorur & Bayram Topal, 2010. "Water Quality Assessment Using Multivariate Statistical Methods—A Case Study: Melen River System (Turkey)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 959-978, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaoliang Meng & Chao Xu & Xinxia Liu & Junming Bai & Wenhan Zheng & Hao Chang & Zhuo Chen, 2018. "An Ontology-Underpinned Emergency Response System for Water Pollution Accidents," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    2. Lei Wan & Xiaohui Fan, 2018. "Water Quality of Inflows to the Everglades National Park over Three Decades (1985–2014) Analyzed by Multivariate Statistical Methods," IJERPH, MDPI, vol. 15(9), pages 1-12, August.
    3. Jian Sha & Zeli Li & Dennis Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    4. Lazhar Belkhiri & Tahoora Narany, 2015. "Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 2073-2089, April.
    5. Yuankun Wang & Dong Sheng & Dong Wang & Huiqun Ma & Jichun Wu & Feng Xu, 2014. "Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 867-880, February.
    6. Ana Gomes & José Pires & Sónia Figueiredo & Rui Boaventura, 2014. "Optimization of River Water Quality Surveys by Multivariate Analysis of Physicochemical, Bacteriological and Ecotoxicological Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1345-1361, March.
    7. Lele Xiao & Qianqian Zhang & Chao Niu & Huiwei Wang, 2020. "Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Technique," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    8. Jian Sha & Zeli Li & Dennis P. Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    9. Luke Mosley & Benjamin Zammit & Emily Leyden & Theresa Heneker & Matthew Hipsey & Dominic Skinner & Kane Aldridge, 2012. "The Impact of Extreme Low Flows on the Water Quality of the Lower Murray River and Lakes (South Australia)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3923-3946, October.
    10. Jeremy Dominic & Ahmad Aris & Wan Sulaiman, 2015. "Factors Controlling the Suspended Sediment Yield During Rainfall Events of Dry and Wet Weather Conditions in A Tropical Urban Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4519-4538, September.
    11. Honglei Chen & Junbo Yang & Xiaohua Fu & Qingxing Zheng & Xinyu Song & Zeding Fu & Jiacheng Wang & Yingqi Liang & Hailong Yin & Zhiming Liu & Jie Jiang & He Wang & Xinxin Yang, 2022. "Water Quality Prediction Based on LSTM and Attention Mechanism: A Case Study of the Burnett River, Australia," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    12. Ayman Awadallah & Mohsen Yousry, 2012. "Identifying Homogeneous Water Quality Regions in the Nile River Using Multivariate Statistical Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 2039-2055, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:4-:d:1008657. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.