Risk characterization and surface water quality assessment of Manas River, Assam (India) with an emphasis on the TOPSIS method of multi-objective decision making

Singh, Kunwar Raghvendra; Dutta, Rahul; Kalamdhad, Ajay S.; Kumar, Bimlesh

doi:10.1007/s12665-018-7970-9

Cited by 26 publications

(16 citation statements)

References 22 publications

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“…In this study, the estimated data on the physicochemical parameters data were used to evaluate CPI, while the heavy metal concentration data were used to evaluate HPI for the respective sampling locations in river Narmada. Moreover, risk assessment index (RAI) and cancer risk index (CRI) [20][21][22] was evaluated to predict the possibilities of carcinogenic impact on human due to direct drinking of river water. Furthermore, environmetrics which involves multivariate statistical methods like principal component analysis (PCA) and hierarchical cluster analysis (HCA) [23,24] was used to develop a composite indicator from the entire heavy metal datasets, and to identify the probable sources that significantly affect river WQ in the area under study.…”

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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“…Multivariate statistical techniques are typically utilized for the categorization, analysis, and interpreting of big data sets. These approaches are also employed for the decrease of a dimension of complicated datasets with a minimal loss of original data [ 77 ]. Cluster analysis is a method of unsupervised pattern classification that organizes the objects into the categories (clusters) on the basis of their commonalities within a category and their differences from other categories.…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluation of Bio Concrete by Cluster and Regression Analysis for Environment Protection

Shukla

Gupta

Singh

et al. 2022

Computational Intelligence and Neuroscience

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The focus of this research is to isolating and identifying bacteria that produce calcite precipitate, as well as determining whether or not these bacteria are suitable for incorporation into concrete in order to enhance the material’s strength and make the environment protection better. In order to survive the high “potential of hydrogen” of concrete, microbes that are going to be added to concrete need to be able to withstand alkali, and they also need to be able to develop endospores so that they can survive the mechanical forces that are going to be put on the concrete while it is being mixed. In order to precipitate CaCO3 in the form of calcite, they need to have a strong urease activity. Both Bacillus sphaericus and the Streptococcus aureus bacterial strains were evaluated for their ability to precipitate calcium carbonate (CaCO3). These strains were obtained from the Department of Biotechnology at GLA University in Mathura. This research aims to solve the issue of augmenting the tension and compression strengths of concrete by investigating possible solutions for environmentally friendly concrete. The sterile cultures of the microorganisms were mixed with water, which was one of the components of the concrete mixture, along with the nutrients in the appropriate proportions. After that, the blocks were molded, and then pond-cured for 7, 28, 56, 90, 120, 180, 270, and 365 days, respectively, before being evaluated for compressibility and tensile strength. An investigation into the effect that bacteria have on compression strength was carried out, and the outcomes of the tests showed that bacterial concrete specimens exhibited an increase in mechanical strength. When compared to regular concrete, the results showed a maximum increase of 16 percent in compressive strength and a maximum increase of 12 percent in split tensile strength. This study also found that both bacterial concrete containing 106, 107, and 108 cfu/ml concentrations made from Bacillus sphaericus and Streptococcus aureus bacteria gave better results than normal concrete. Both cluster analysis (CA) and regression analysis (RA) were utilized in this research project in order to measure and analyze mechanical strength.

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“…However, because researchers have not yet found a suitable method to investigate and optimize health risk during work, fuzzy TOPSIS (a technique for order preference by similarities to ideal solution) as a logical, systematic, and developing method with MODM has been suggested. Additionally, because of the association of uncertainty with MODM, fuzzy TOPSIS may be used to decrease such uncertainty for the investigation and ranking of health risks [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Investigation and Optimization of Air Pollution Risk by a Multi-criteria Decision Making Method Using Fuzzy TOPSIS: A Case Study of Construction Workers

Sekhavati,

Jalilzadeh Yengejeh

2121

JAEHR

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Background: Investigating human health during work importantly affect the safety and efficiency of the society. Different types of activity, including industrial, constructional, heavy duty ones, etc., affect the health of workers during their activities. In this study, the Multi-Objective Decision-Making (MODM) method was combined with fuzzy TOPSIS to investigate and optimize the air pollution risk affecting the health and safety of construction workers of Lar City, Fars Province, Iran. Methods: The comparison matrices (binary) and the Phillips–Perron test of different criteria and sub-criteria of health risk, including safety view, safety efficiency, understanding the risk, and risk investigation, were assessed to find the most influential factors for the optimization of the health risk of the workers. Results: Accordingly, the results indicated that “understanding the risk” followed by “safety efficiency” affected the health risk of the construction workers the most. However, among the sub-criteria, the most effective ones were “worker knowledge”, “manager knowledge”, “logistic specialized managers”, “modern facilities”, and “modern technology”. The selection of the linear and non-linear models was conducted according to the F values, and the model parameters were estimated using the Newton-Raphson test. Most coefficients were significant at P= 0.99. The model also has a high describing value of 0.97. The final estimated homogeneity coefficient was equal to 1.31, and it ranged from 0.86 to 2.72 for the critical risk investigation. The significance of the present research is to increase the health and safety of workers during work resulting in a more sustainable and healthier environment. Conclusion: Accordingly, the managers could handle the risks, determine the tolerable risks, indicate the risk of each process to control expenses, and take the essential measures for optimization.

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Risk characterization and surface water quality assessment of Manas River, Assam (India) with an emphasis on the TOPSIS method of multi-objective decision making

Cited by 26 publications

References 22 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

Performance Evaluation of Bio Concrete by Cluster and Regression Analysis for Environment Protection

Investigation and Optimization of Air Pollution Risk by a Multi-criteria Decision Making Method Using Fuzzy TOPSIS: A Case Study of Construction Workers

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