Spatio-temporal investigation of physico-chemical water quality parameters based on comparative assessment of QUAL 2Kw and WASP model for the upper reaches of Yamuna River stretching from Paonta Sahib, Sirmaur district to Cullackpur, North Delhi districts of North India

Zehra, Rahat; Singh, S P; Verma, Jyoti; Kulshreshtha, Anuj

doi:10.1007/s10661-023-11072-5

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…From Dakpatthar to Agra, covering a distance of 600 km, frequent field campaigns were conducted to collect data as preliminary requisites from 12 illustrated in Fig. 1 [46,47]. The investigation area is a low-lying zone of active deposition of alluvial sediment.…”

Section: Study Areamentioning

confidence: 99%

Fuzzy Inference System-based Geo Visualization Tool Development for Yamuna River Water Quality Analysis

Zehra

Singh

Verma

2023

IJRITCC

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An analysis of Yamuna River Water Quality through the use of a Fuzzy Inference System illustrates the capabilities of artificial intelligence in the development of novel Geovisualizer. Numerous Geovisualizer systems exist worldwide, but none can estimate water quality with artificial intelligence instead, relying on statistical data that vary with the scenario and have dubious accuracy. This logic has not been applied to the classification of Water Quality Standards by any designated government agency for water quality monitoring and management. A robust and integrated application program interface is developed by combining MongoDB and JavaScript library utilities Leaflet.js, Node.js, ArcGIS, ERDAS Imagine, and Fuzzy Algorithm; embellished with HTML and CSS. The Yamuna River is considered for the spatial-temporal aspect of the application. End users can authenticate with JSON web tokens. Spatial and non-spatial data are visualized by Inverse Distance Weighted Interpolation technique of ArcGIS. The Water Quality Index can be calculated using combinations of critically chosen input parameters integrated through frontend and backend functionality that incorporates fuzzy set theory with input from a Geovisualizer database and frontend platforms; not available on the existing geovisualization platform. With its scalability, extensibility, and execution speed, the resultant 121RRwebgis Geovisualizer outperforms conventional applications. Thus, a robust platform for global researchers is developed.

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Section: Study Areamentioning

confidence: 99%

Fuzzy Inference System-based Geo Visualization Tool Development for Yamuna River Water Quality Analysis

Zehra

Singh

Verma

2023

IJRITCC

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Optimal waste load allocation in river systems based on a new multi-objective cuckoo optimization algorithm

Haghdoost,

Niksokhan,

Zamani

et al. 2023

Environ Sci Pollut Res

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The state of the Yamuna River: a detailed review of water quality assessment across the entire course in India

Sharma,

Rawat,

Kumar

et al. 2024

Appl Water Sci

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The Yamuna River, a vital water source in India, poses a profound challenge concerning water purity across its entire stretch. The comprehensive review aims to thoroughly examine the river's water quality, shedding light on the sources of pollution and their consequences for both ecological systems and public health. The primary objective of this review is to examine the published research papers concerning the Yamuna River water quality stretching from Yamunotri to Prayagraj and its resulting impact on human health. This paper also comprises a wide range of pollutants mainly caused by human activity; during the strange period of COVID-19 lockdown, when all industries were closed, resulting in changes in water quality, signifies the destructive effects of human activity on the river. Studies uncover that the most contaminated areas are Nizamuddin of Delhi region and D/S of Agra in Uttar Pradesh, which includes the foremost level of faecal coliforms to be around 210000–11000000 and 450–6100000, respectively. The total coliforms were found to be between 700000–28000000 and 2200–32000000, respectively. Biochemical oxygen demands, industrial discharge, urban waste and agriculture are identified as the most responsible factors for this contamination. After the COVID-19 lockdown, all industries were open, and now, the conditions are the same as before COVID-19. The primary insight to be assembled is that the ecological balance of the Yamuna River and public health depend on the immediate requirement for effective wastewater treatment solutions. Besides offering valuable data by compiling findings from multiple studies, this review underscores the importance of implementing stringent regulations on industrial emissions, upgrading sewage treatment plants, and promoting eco-friendly farming methods to tackle pollution in the Yamuna River and also manage the rural and urban areas of the sewage pipeline plan. It stresses the importance of safeguarding the Yamuna River ecosystem's inherent socioeconomic benefits while alleviating the environmental harm caused by pervasive pollution. Essentially, the study calls for prompt and comprehensive measures to ensure the sustainable health of this crucial water resource in India.

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Spatio-temporal investigation of physico-chemical water quality parameters based on comparative assessment of QUAL 2Kw and WASP model for the upper reaches of Yamuna River stretching from Paonta Sahib, Sirmaur district to Cullackpur, North Delhi districts of North India

Cited by 8 publications

References 30 publications

Fuzzy Inference System-based Geo Visualization Tool Development for Yamuna River Water Quality Analysis

Fuzzy Inference System-based Geo Visualization Tool Development for Yamuna River Water Quality Analysis

Optimal waste load allocation in river systems based on a new multi-objective cuckoo optimization algorithm

The state of the Yamuna River: a detailed review of water quality assessment across the entire course in India

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