Water Quality Assessment using Association Rule Mining for River Narmada

Gour, Sanjeev; Jaloree, Shailesh; Gour, Mamta

doi:10.17485/ijst/2016/v9i10/82155

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Thus, the rejuvenation of river Narmada and the conservation of biotic diversity in the river basin has become a hot topic of research and attracting researchers all around the world. In this regard, the proposals to improvise WQ in river Narmada were prepared and implemented by the governing authority that targeted the treatment of wastewater before discharge and plantation of vegetation around the river basin [10]. Despite these remedial measures and involvement of governing bureaucracy, there is no significant improvement in WQ of river Narmada and diversity of its biota (e.g., flora and fauna).…”

Section: Introductionmentioning

confidence: 99%

Estimation of physicochemical characteristics and associated metal contamination risk in the Narmada River, India

Mishra

Kumar

2020

Environmental Engineering Research

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River Narmada is the fifth largest holy river of Madhya Pradesh (M.P) flowing in the central part of India. The river receives large quantity of untreated/partially treated wastewater enriched with heavy metals and supplementary toxic organic pollutants. This study aims to assess the water quality status in river Narmada using indices like comprehensive pollution index (CPI), heavy metal pollution index (HPI), risk assessment index (RAI) and cancer risk index (CRI), for human use. The presence of faecal coliform and high chemical oxygen demand > 20 mg/L indicates that the water is unsuitable for drinking purposes. The average CPI and HPI evaluated to be 1.98, and 1.35, respectively signifies the moderately polluted river water. Considerably, the RAI > 1 and CRI > 1 is obtained at all sampling locations that alarms the possible cancer risk to human if untreated river water is used. Principal component analysis of data confirmed pollution in the river from both natural and anthropogenic sources. The strongest Pearson correlation coefficient between Cu-Pb (0.998) and Zn-Cu (0.986) indicates the input of wastewater in the river probably from electroplating industries. The river water is unsuitable for human intake. It is required to control direct flow of wastewater in river to restore ecological health.

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Section: Introductionmentioning

confidence: 99%

Estimation of physicochemical characteristics and associated metal contamination risk in the Narmada River, India

Mishra

Kumar

2020

Environmental Engineering Research

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“…The result showed the association rules would be helpful for monitoring the groundwater quality and in decision making. [11,12,13].…”

Section: Different Types Of Clustering Methods Such As the Simple K-mmentioning

confidence: 99%

Identifying the Underlying Relationship Between Water Quality Parameters of the Groundwater Samples using Association and Clustering Algorithms in Coimbatore District

Jansi¹,

Jegathambal²,

Arumainayagam³

2019

IJRTE

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Water is a highly complex environmental system; its protection cannot be met by traditional methods. As a part of the process, it is mandatory to evaluate the parameters of ground water so as to pursue suitable treatment. These days’ data mining algorithms have been developed to handle various data-rich environmental problems. In data mining, several techniques such as complex non-linear science, soft computing techniques, clustering and association have been applied in the domain of ground water quality assessment and evaluation in and around Coimbatore District. In this work, the statistical cluster analysis methods and association rule mining techniques were used to identify the spatial distribution of different cluster of wells having similar characteristics and determine the relationship between different water quality variables. The water quality assessment in Coimbatore was done using 13 parameters, namely NO3 - , TDS, Mg2+, Ca2+, Na+ , Cl- , F- , SO4 2- , EC, pH and Hardness including location in different sites. The main objective of the present study is to assess the performance of various clustering algorithms of WEKA and identify the most suitable algorithm for clustering water quality samples. K-Mean algorithm and centroid method of Hierarchical clustering performed in the similar manner in clustering. In addition to that, this study focused on identifying the water quality parameters exceeding permissible limits that occur together (TDS, Mg2+, SO4 2- , EC, hardness) in the given samples using Association Algorithms. The performance and efficiency of different association algorithms like Apriori and Frequent Pattern Growth algorithm was evaluated by factors like support, confidence, lift, leverage and conviction values

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Bacterial biofilm or biofouling networks with numerous resilience factors from real water supplies of Chennai and their enhanced susceptibility to biocompatible nanoparticles

Namasivayam

Francis

Bharani

et al. 2019

Journal of Cleaner Production

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Water Quality Assessment using Association Rule Mining for River Narmada

Cited by 4 publications

References 6 publications

Estimation of physicochemical characteristics and associated metal contamination risk in the Narmada River, India

Estimation of physicochemical characteristics and associated metal contamination risk in the Narmada River, India

Identifying the Underlying Relationship Between Water Quality Parameters of the Groundwater Samples using Association and Clustering Algorithms in Coimbatore District

Bacterial biofilm or biofouling networks with numerous resilience factors from real water supplies of Chennai and their enhanced susceptibility to biocompatible nanoparticles

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