A unified multivariate statistical approach for the assessment of deep groundwater quality of rapidly growing city of Maharashtra Province, India, with potential health risk

Marghade, Deepali; Pethe, Rahul; Patil, Pravin D.; Tiwari, Manishkumar S.

doi:10.1007/s10661-022-10572-0

Cited by 3 publications

(2 citation statements)

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“…Hydrogeological models frequently incorporate geochemical modeling techniques to forecast the dynamics of geogenic contaminants in the aquifer [125]. The research also examines the impact of different chemical reactions and equilibria on the movement, distribution, and binding of arsenic to solid surfaces.…”

Section: Geochemical Modelingmentioning

confidence: 99%

Arsenic Contamination in Indian Groundwater: From Origin to Mitigation Approaches for a Sustainable Future

Marghade,

Mehta,

Shelare

et al. 2023

Water

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The presence of arsenic in Indian groundwater poses a significant threat to both the ecosystem and public health. This review paper comprehensively addresses the topic, encompassing the underlying causes and potential solutions. Health consequences examines the serious health risks of drinking water contaminated with arsenic. Arsenic’s complex geochemical processes of mobilization, transport, and distribution in groundwater are investigated. Mathematical models, geographical analysis, and data-driven modeling are discussed in the context of Indian groundwater. A comprehensive assessment of removal methodologies and the various factors influencing the mobility of arsenic is addressed. It was documented that community water purifiers and plants have successfully eliminated approximately 90% of arsenic, and the implementation of rainwater collection systems has also enhanced the overall quality of water. This review aims to address existing knowledge gaps and assess various strategies aimed at ensuring a more secure and sustainable water supply for the regions in question. The ultimate goal is to enhance the overall well-being of the population and protect the integrity of local ecosystems.

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Section: Geochemical Modelingmentioning

confidence: 99%

Arsenic Contamination in Indian Groundwater: From Origin to Mitigation Approaches for a Sustainable Future

Marghade,

Mehta,

Shelare

et al. 2023

Water

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“…In contrast to finite fossil fuels, renewable energy utilizes the Earth's inherent processes, offering a pristine and limitless power supply [3]. By using these abundant resources, we can reduce the impact of climate change [4], boost economic growth [5], and attain energy independence [6]. A transition towards more sustainable energy sources is imperative [7].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Bhoyar,

Kanojia,

Chourasia

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The practice of agriculture is heavily reliant on the implementation of irrigation systems. Technology improvements have made it unnecessary to rely on someone else to perform irrigation when we are out and whenever crops need to be watered. Many researchers have attempted to autonomously irrigate crops, but difficulties with accuracy, timing, and cost are rarely addressed and given top priority. The proposed approach employs a real-time sensor, wireless sensor network, the adaptive bacterial foraging optimization (ABFO) algorithm, and a fuzzy irrigation system control to achieve autonomous watering, thereby enabling smart irrigation. This method reduces waste while preserving the container’s water supply. Automated irrigation determines whether crops need to be watered by considering the type of crop, the weather, and the soil moisture and not soil moisture alone. The need for water is calculated using the three aforementioned criteria and fuzzy control drives the automation. Using an arduino-based IoT circuitry, the bioinspired model with algorithm adaptive bacterial foraging optimization, generates the optimized values for three parameters, which are then used by fuzzy logic control to predict the watering requirements of the plants. In terms of accuracy, timeliness, and cost, the suggested approach is advantageous. With this model, it is now possible to completely automate the irrigation system.

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Innovations in metal-organic frameworks (MOFs): Pioneering adsorption approaches for persistent organic pollutant (POP) removal

Marghade,

Shelare,

Prakash

et al. 2024

Environmental Research

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A unified multivariate statistical approach for the assessment of deep groundwater quality of rapidly growing city of Maharashtra Province, India, with potential health risk

Cited by 3 publications

References 77 publications

Arsenic Contamination in Indian Groundwater: From Origin to Mitigation Approaches for a Sustainable Future

Arsenic Contamination in Indian Groundwater: From Origin to Mitigation Approaches for a Sustainable Future

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Innovations in metal-organic frameworks (MOFs): Pioneering adsorption approaches for persistent organic pollutant (POP) removal

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