秘鲁曼塔罗河水质评价的灰色系统模型

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computation Pub Date : 2023-11-04 DOI:10.3390/computation11110223
Alexi Delgado, Joshis Culqui, Marisabel Lazo, Valeria Guerrero, Isabel Delgado
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引用次数: 0

摘要

流经秘鲁万卡维利卡省的曼塔罗河段受到工业和采矿活动产生的有毒废物和矿物残留物的影响,直接影响到水质。本文基于灰色聚类方法,建立了一个灰色系统模型对水质进行评价。采用三角形白化权函数(CTWF)中心点的灰色聚类方法。此外,Prati指数和秘鲁政府的水环境质量标准被修订并用于本研究。通过对曼塔罗河沿岸9个监测点的pH、DO、BOD、Cd、As、Pb等6个理化参数进行评价。结果表明,受采矿活动影响的第6监测点(P6)为高污染监测点,其余监测点均为非污染监测点。最后,应用灰色聚类方法得到的结果可为主管部门在该流域的水管理决策提供参考。
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Grey Systems Model to Assess Water Quality in Mantaro River in Peru
The section of the Mantaro River that flows through the department of Huancavelica, Peru, has been affected by toxic wastes and mineral residues from industrial and mining activities, which have directly impacted the water quality. In this work, a grey system model, based on the grey clustering method, was used to assess water quality. The grey clustering method was applied using the central point of triangular whitening weight functions (CTWF). In addition, the Prati index and the Environmental Quality Standards for water from the Peru government were revised and used for this study. In the case study, six physicochemical parameters, pH, DO, BOD, Cd, As, and Pb, at nine monitoring points were assessed along the Mantaro River. The results showed that the sixth monitoring point (P6), which is influenced by mining activity, was highly contaminated, while the other points were classified as noncontaminated. Finally, the results obtained by applying the grey clustering method can be useful to competent authorities, for decision making on water management in this watershed.
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来源期刊
Computation
Computation Mathematics-Applied Mathematics
CiteScore
3.50
自引率
4.50%
发文量
201
审稿时长
8 weeks
期刊介绍: Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.
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