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Global Water-Related Conflicts Reached a Record High in 2023, Report Finds

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26 Aug, 2024

This post was originally published on Eco Watch

According to a new report from the nonprofit Pacific Institute, violent conflicts over water increased sharply in 2023. The report found there were nearly 350 water-related conflicts globally last year, a record high.

The latest update to Pacific Institute’s Water Conflict Chronology has revealed a huge increase in the number of water-related conflicts in 2023 compared to just 2022, with around a 150% rise. In 2022, there were 231 recorded conflicts over water, compared to the 347 recorded for 2023.

In comparing to recent decades, the contrast is even more stark. In 2000, there were just 22 water-related conflicts worldwide, Pacific Institute reported.

“The significant upswing in violence over water resources reflects continuing disputes over control and access to scarce water resources, the importance of water for modern society, growing pressures on water due to population growth and extreme climate change, and ongoing attacks on water systems where war and violence are widespread, especially in the Middle East and Ukraine,” Peter Gleick, senior fellow and co-founder of the Pacific Institute, said in a statement.

The organization records conflicts based on news reports, first-person accounts and databases. According to the data for 2023, water conflicts were most prominent in the Middle East, Southern Asia and sub-Saharan Africa. All three regions experienced increases in three different categories of conflict recorded: trigger, casualty and weapon.

Half of the conflicts were on water and water infrastructure, while 39% of new conflicts were over access or control of water, Pacific Institute reported. 

Most conflicts, around 62%, were maintained within one country, while 38% of conflict events involved multiple countries, the report found.

In around 11% of conflicts, water was used as a weapon of war. Some of these instances include an attack by Russia on Odessa, Ukraine that cut off water access to people in the city and a forced shutdown of the last desalination plant in Gaza after Israel cut off access to fuel supplies, Yale Environment 360 reported. Additional instances of recorded conflicts are detailed in the report fact sheet.

Volunteers collect water in Odessa, Ukraine on April 18, 2022. Viacheslav Onyshchenko / SOPA Images / LightRocket via Getty Images

“The large increase in these events signals that too little is being done to ensure equitable access to safe and sufficient water and highlights the devastation that war and violence wreak on civilian populations and essential water infrastructure,” Morgan Shimabuku, senior researcher with the Pacific Institute, said in a statement. “The newly updated data and analysis exposes the increasing risk that climate change adds to already fragile political situations by making access to clean water less reliable in areas of conflict around the world.”

The institute is encouraging countries to work toward more resilient water policies that provide access to clean, safe water for everyone while also addressing threats of climate change, such as droughts and flooding.

“Solutions are available, but to date they have been insufficiently applied,” Gleick warned.

The post Global Water-Related Conflicts Reached a Record High in 2023, Report Finds appeared first on EcoWatch.

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Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

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As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

Image credit: iStock.com/Dragon Claws

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