water footprint
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The Green Cost of Generative Ai: Environmental Sustainability Implications of Large-Scale Ai Systems
Abstract: Generative Artificial Intelligence (GenAI) has advanced rapidly in scale and complexity, enabling powerful capabilities in automated content creation, multimodal reasoning and real-time decision support across sectors. While these systems offer significant technological and economic benefits, their environmental implications are not fully examined. Large-scale GenAI models rely on high-performance computing infrastructure that consumes substantial energy and resources throughout their lifecycle, raising critical sustainability concerns. This paper offers a sustainability-oriented assessment of …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 12–20 Read article
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Sustainable Water Management in Engineering: Identifying Causes and Implementing Solutions
Abstract: Water is a vital resource in engineering applications, underpinning processes in manufacturing, construction, power generation, and environmental systems. Unsustainable water consumption and waste, however, present serious problems, such as resource depletion, environmental damage, and higher operating expenses. This paper explores the causes of water waste in the engineering sector, such as inefficient processes, aging infrastructure, and inadequate wastewater management, alongside the impacts on economic performance and ecological balance. To address …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 9–26 Read article