Elsevier,

Advances in Smart Nanomaterials and their Applications, Volume , 1 January 2023

This chapter aligns with Goal 6: Clean water and sanitation by discussing different strateties for the treatment of wastewater using a wide range of nanomaterials.
This article supports SDG's 3, 6, and 11 by illustrating the reduction of pollutants using various microbial techniques. Strategy and recommendations are summarized, along with the future prospects.
This article supports SDGs 11, 6, and 13 by analyzing the impact of Denver Water's annual energy use and water use alongside local precipitation over a 20-year period from 1995 to 2014 and highlighting the implications for altered energy footprints as water utilities respond to new precipitation patterns in a changing climate.
This paper highlights the alarming rate of which levels of chemicals are being found in seawater.
Ultrafiltration (UF) of rainwater with chlorination can produce water for potable purposes supporting SDG 6. Long-term tests demonstrate that the produced water meets the WHO standards. PV powered rainwater ultrafiltration cost ranges from 0.04 to 0.13 US$ m3. The developed technique can be implemented with economic viability even for small buildings. The technique can be a reliable alternative to traditional water supply approaches in remote areas across the world.
This study attempts to investigate the suitability of the Wabe river water for Agricultural and Industrial purpose.
Proposal for a new machine learning-based smart irrigation system, designed to aid the development of more sustainable agricultural practices, saving water and contributing towards better food security.
This chapter contributes to SDG 6 by introducing projects to improve the situation of drought-affected cities by maintaining and saving local water resources.
This article supports SDG 6, 3, 9 by exploring the diversity and ecology of freshwater diatom as bioindicators of 6 major freshwater ponds of Kanyakumari district, Tamilnadu
This content aligns with SDG Goal 6 and SDG Goal 14 by evaluating river pollution using AI to estimate dispersion coefficient.

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