EEB criticises EU's Soil Monitoring Law for inadequately addressing soil health, urging stronger measures to safeguard Europe's soils ..read more

SUBSIM, a groundbreaking AI tool, shows potential to revolutionise marine environmental monitoring with machine learning analysis of ..read more

Get an exclusive look at 'Oceanus', a revolutionary 24-metre unmanned vessel designed for cutting-edge marine research ..read more

New research has cast doubt on just how much of a positive impact forestation has on climate and pollution due to sun absorption ..read more

As climate change reduces snowfall in the Alps, vegetation expansion is causing significant disruptions to soil health, biodiversity ..read more

Do you work in hazardous areas? Are you limited by your options for personal and portable gas monitors? Riken Keiki wants to hear from you. You will also be entered into a prize draw to win a £150 Amazon voucher ..read more

Dive into our quick survey designed for insight into the world of refrigeration and receive more information on how cooling solutions are evolving. You will also be entered into a prize draw to win a £150 Amazon voucher ..read more

Seven countries unite in a $379 million initiative to mitigate the environmental and health hazards of pesticides and plastics in ..read more

Parks, street trees, and shop front shrubberies; splashed across the canvas of our grey urban landscape are little specks of green. They may be dwarfed by high-rise office blocks and fast-moving traffic, but they are some of the most important cubic metres in our towns and cities.  Urban Green Infrastructure (UGI) plays a pivotal role in enhancing the well-being and resilience of urban environments. As cities continue to expand and grapple with the challenges of rapid urbanisation, UGI offers a powerful solution to counteract the adverse impacts of urbanisation on both human populations a ..read more

Some analytical problems, which are often considered incorrect for objective reasons, are considered. The main of these reasons is an anomalously large scatter of the initial data.   It can be due to either the low reproducibility of the characteristics of substances, their quantities, analytical signal intensities, process conditions, etc., or variability due to differences in the nature of the objects themselves. In the latter case, the nature of data interpretation is influenced by analytical hypotheses adopted for their consideration. The tasks considered include variations in th ..read more