Surface water potential zones delineation and spatiotemporal variation characteristics of water pollution and the cause of pollution formation in Brahmani River Basin, Odisha

Abhijeet Das
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Abstract

Waste water reuse is an effective method for reducing the quantity of wastewater that enters the environment. As a result, the appropriateness was assessed in accordance with its composition and the global criteria for drinking water quality. This study aims to evaluate the quality of surface water of Brahmani River, Odisha, by adapting multivariate statistical approaches, namely Cluster Analysis (CA) and multi-criteria decision-making (MCDM) methods such as Simple Additive Weighting (SAW). Again, Geographical Information System (GIS) is employed to assess the drinking water's quality in relation to its application. Around 15 physicochemical parameters, gathered from seven distinct sites, following a period of 2022 till 2024. The results showed high values of EC, SO42−, NO3, PO43−, F and Ca2+, in three stations, while other studied parameters are within the permissible limits defined by WHO standards. The CA three distinct classifications of sites namely, low, medium, and high, based on how comparable the various physicochemical traits and pollutant levels were throughout the sampling locations. Sites H-(4–6) were included in cluster 1, site H-(3) and (7) classified under Cluster 2 and finally, H-(1–2) indicated as Cluster 3. Thus, as stated by CA, 42.86 % of tested water samples were fall into the group of good quality and about 57.14 % of examined locations resides in the poor category of water. The findings indicate which characteristics, as determined by the CA technique, were accountable for the alteration in the water quality and raise the potential of runoff from cities, farms, and industries. Subsequently, MCDM techniques has been implemented to facilitate rapid comprehension of surface water behavior and address problems with water resource management. The obtained SAW index ranges from 0.5 to 0.94. Here, H-(1), (2), and (7) grouped as highly polluted zone, and they seemed to be connected to runoff from farms and untreated industrial and municipal trash as well as local pollution sources. From this innovative study, it is found that even though the water is fit for drinking at 3 places, it is medium to highly suitable for human consumption. Therefore, there needs to be treated in some way before being used in addition to being protected against contamination. Most often, the findings indicate that appropriate management actions are important to restore the water quality of this catchment in order to support a robust and promising aquatic ecosystem. Additionally, the significance of this restoration for objective ecological policy and decision-making processes is underscored.
奥迪沙邦布拉马尼河流域地表水势区划定、水污染时空变化特征及污染形成原因
废水回用是减少进入环境的废水量的有效方法。因此,根据其成分和全球饮用水水质标准来评估其适当性。本研究旨在通过采用多元统计方法,即聚类分析 (CA) 和多标准决策 (MCDM) 方法(如简单加权法 (SAW)),对奥迪沙邦 Brahmani 河的地表水水质进行评估。同样,地理信息系统(GIS)也被用来评估与应用相关的饮用水水质。在 2022 年至 2024 年期间,从七个不同地点收集了约 15 个理化参数。结果显示,三个站点的 EC、SO42-、NO3-、PO43-、F- 和 Ca2+ 值较高,而其他研究参数均在世界卫生组织标准规定的允许范围内。根据各采样点的各种理化特性和污染物水平的可比性,CA 对采样点进行了低、中、高三种不同的分类。采样点 H-(4-6)被归入第 1 组,采样点 H-(3)和(7)被归入第 2 组,最后,采样点 H-(1-2)被归入第 3 组。因此,如 CA 所述,42.86% 的检测水样属于优质水,约 57.14%的检测地点属于劣质水。研究结果表明,CA 技术所确定的哪些特征是导致水质改变的原因,并提高了城市、农场和工业径流的潜力。随后,采用了 MCDM 技术,以便快速了解地表水的行为,解决水资源管理问题。所获得的 SAW 指数范围在 0.5 至 0.94 之间。在这里,H-(1)、(2)和(7)被归类为高污染区,它们似乎与农场径流、未经处理的工业和城市垃圾以及本地污染源有关。通过这项创新性研究发现,尽管有 3 个地方的水适合饮用,但却属于中度到高度适合人类饮用。因此,除了防止污染外,还需要对其进行一定的处理后才能使用。大多数情况下,研究结果表明,必须采取适当的管理措施来恢复该集水区的水质,以支持一个强大而有前景的水生生态系统。此外,这种恢复对客观生态政策和决策过程的重要性也得到了强调。
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