A research team led by Prof. Jilili Abuduwaili from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences investigated the health risks of PTEs in surface water in the Tarim River Basin, China.
The Moon has a global dichotomy, with its near and far sides having different geomorphology, topography, chemical composition, crustal thickness, and evidence of volcanism. To better understand this dichotomy, Professor XU Yigang's team from the Guangzhou Institute of Geochemistry of the Chinese Academy of Sciences investigated lunar soil samples from the far side South Pole-Aitken (SPA) Basin of the Moon returned by the Chang'e-6 mission.
Unravelling the volcanic history of the enigmatic lunar farside is essential for understanding the Moon's hemispheric dichotomy. Prof. Li Qiuli's Lab at IGGCAS, has identified two episodes of farside volcanism from Chang'e-6 samples: a 2.8 Ga local mare volcanism and a 4.2 Ga cryptomare volcanism south of the landing site. These findings provide crucial insights into the volcanic history and mantle source characteristics of the lunar farside. The newly established ages also contribute to refining lunar crater-counting chronology.
A research team led by Prof. WANG Guangce from the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS) used algae to treat high salt organic wastewater and has made new progress recently.
Rapid human expansion into natural landscapes, resulting in the growth of the wildland-urban interface (WUI), has heightened risks associated with wildfires. Prof. WANG Jianghao’s team from the Institute of Geographic Sciences and Natural Resources Research of the Chinese Academy of Sciences has recently mapped global WUI changes in 2000, 2010, and 2020, revealing alarming upward trends in WUI areas.
A new study published in International Journal of Digital Earth utilized the Sustainable Development Goals Science Satellite-1 (SDGSAT-1) to produce a high-resolution population map of the Guangdong-Hong Kong-Macao Greater Bay Area. Researchers from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences employed SDGSAT-1 glimmer imagery and deep learning techniques to achieve a detailed and accurate population distribution, offering valuable insights for urban planning, disaster preparedness, and sustainable development.
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