WebGIS Concept of River Pollution Monitoring System—A Case Study of Yamuna River

Zehra, Rahat; Singh, Madhulika; Verma, Jyoti

doi:10.1007/978-981-15-6707-0_9

Cited by 1 publication

(2 citation statements)

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“…A WebGIS application is a good example of integrating HTML and CSS with simple functions and Application Programming Interfaces (APIs). JavaScript is the language of choice in modern browsers [5]. Additionally, JavaScript enables the entire stack development via inbuilt modules, enabling faster execution of numerous code lines.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, by analyzing pollution levels diligently, hotspot zones in the stretch can be identified based on fuzzy calculations. As part of our investigation, we intend to fill a technical gap [5,24] between society and river channel pollution variables by presenting data on the Yamuna from Dak Patthar to Agra in a user-friendly interface along with a non-spatial dataset in flexible formats. To achieve these objectives, the following goals were identified: i) An analytical Geovisualizer tool development focused on interpreting river channel water quality is designed and developed.…”

Section: Introductionmentioning

confidence: 99%

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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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%