• Login
    View Item 
    •   AXCES Home
    • Proceedings
    • 2020 LACCEI - Virtual Edition
    • View Item
    •   AXCES Home
    • Proceedings
    • 2020 LACCEI - Virtual Edition
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Applying the grey clustering method to assess water quality in a watershed in Cusco, Peru

    Thumbnail
    View/Open
    FP524.pdf (688.7Kb)
    Date
    2020-07
    Author
    Delgado, Alexi
    M., Acuña
    N., Justano
    E., Llanos
    I., Puma
    Carbajal, Chiara
    Metadata
    Show full item record
    Abstract
    Water quality assessment is a current issue of increasing concern in many countries around the world for reasons such as population health, national economic development and the environmental quality of ecosystems. At this juncture, the Grey Clustering method is used to assess water quality at discharge points, from the beginning to the end of the environmental monitoring process in the area of influence of the Anabi mining unit in the Chonta and Milos micro-watershed. The parameters evaluated were pH, dissolved oxygen, total suspended solids (TSS), iron and manganese. The results obtained through the Grey Clustering methodology showed a monitoring point with contamination from a treated water discharge. On the other hand, in order to obtain greater efficiency in the evaluation of water quality, national standard DS 004-2017-Minam (Water Quality Standards) and international standards were used through the PRATI index. Through the results obtained it was observed that (by means of the Prati index ) there is a better classification of the water quality in each point, therefore this research becomes an important tool for future studies to consider the Prati index for greater reliability of results.
    URI
    http://dx.doi.org/10.18687/LACCEI2020.1.1.524
    http://axces.info/handle/10.18687/20200101_524
    URI Others
    http://laccei.org/LACCEI2020-VirtualEdition/meta/FP524.html
    Copyright
    https://laccei.org/blog/copyright-laccei-papers/
    Track
    Energy, Water and Sustainable Engineering
    Collections
    • 2020 LACCEI - Virtual Edition

    Support by DSpace software.
    Copyright © 2002-2022 . Powered by LACCEI Inc.
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Support by DSpace software.
    Copyright © 2002-2022 . Powered by LACCEI Inc.
    Contact Us | Send Feedback
    Theme by 
    Atmire NV