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2 Result(s) for 'Naveen Kumar Suniya'
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1.
Enhancing the Aqueous foam Stability Using Nanoparticles: A Review
Ketan Jangir, Umesh Kumar, Naveen Kumar Suniya , Naginder Singh, Kapil Parihar
World Journal of Chemical Education. 2022 10 (2). doi: 10.12691/wjce-10-2-5
Keywords: foam stability, foamability, nanoparticles, enhanced oil recovery
Context: Today, there is much demand for stabilised foam globally. The primary concern for surfactant foam in enhanced oil recovery (EOR) is its foam stability. The applications of surfactant-nanoparticles mixture for foam stabilisation have been increased significantly because of the combined role of nanoparticles (NPs) and surfactant in the mechanism of foam stabilisation. This paper focuses on enhancing the aqueous foam stability by NPs and respective mechanisms of the aqueous foam stability. Nanoparticles have unique physical and chemical properties, so they alter the surface and rheological properties of the fluid system. It is the outcome of various research that nanoparticles adhere to the gas-liquid interface of the foam to improve foam stability. Therefore, NPs can enhance the stability of surfactant-stabilised foams. The use of nanoparticles increases foam stability, but its drawbacks cannot be ignored. Probable, the synthesis and production technique of nanoparticles is steeply-priced, which have to be made cheap using cutting-edge technology.
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2.
An Integrated IoT-GIS Framework for Water Quality Monitoring in Arid Regions of Western Rajasthan
Abhisek Gour, Naveen Kumar Suniya , Umesh Kumar, Kapil Parihar, Khamma Kanwar, Santosh Kumari Meena
Applied Ecology and Environmental Sciences. 2022 10 (7). doi: 10.12691/aees-10-7-3
Keywords: water quality monitoring, internet of things, sensors, geographical information systems
Context: Water acts as a critical resource in sustaining the life of human beings and all other life forms on this earth. Despite the increased awareness and better management techniques in recent times, water scarcity has been a significant concern for most governments worldwide. Especially in arid regions, such as the western areas of Rajasthan, which are heavily dependent upon a few rivers, their tributaries and underground water sources. It becomes crucial to optimize water consumption and maintain water quality in such water bodies. In this work, an Internet of Things (IoT) based framework has been developed to monitor the water quality parameters of the Jojari River, a tributary of the Luni River. Data collected from the IoT endpoints is passed to a GIS-based system designed to support continuous data monitoring and alerts for abnormal changes in the monitored parameters. Analysis of the collected data for some time denotes that the current state of water quality in the Jojari River is not appropriate for drinking or the surrounding ecosystem. Over time, the system can enable forecasting of water quality parameters and locate significant sources of pollution.
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