Toggle light / dark theme

(Yicai) March 3 — China Fusion Energy, a state-owned pioneer in an experimental technology to produce unlimited amounts of clean energy by replicating processes of the sun, has gained almost CNY1.8 billion (USD240.3 million) in investment from two major power companies.

China Nuclear Power, another affiliate of Beijing-headquartered China National Nuclear Corporation, invested CNY1 billion into Fusion Energy, while Zhejiang province-based thermal power giant Zheneng Electric Power allocated CNY750 million (USD102.8 million), the two investors announced recently.

After these transactions, CNNC remains the largest shareholder of Fusion Energy, which is expected to receive more investment from state-owned enterprises in the future.

Synthetic aperture radar (SAR) is an important tool for observing the oceanic internal wave phenomenon. However, owing to the unstable imaging quality of SAR on oceanic internal waves, the texture details of internal wave images are usually unclear, which is not conducive to the subsequent applications of the images. To cope with this problem, a texture enhancement method for oceanic internal wave SAR images is proposed in this paper, which is based on non-local mean (NLM) filtering and texture layer enhancement (TLE). Since the strong speckle noise commonly present in internal wave images is simultaneously enhanced during texture enhancement, resulting in degraded image quality, NLM filtering is first performed to suppress speckle noise.

Although rock glaciers (RGs) are prevalent in the southwestern Pamirs, systematic studies on them are scarce. This article introduces the first inventory of RGs in the southwestern Pamirs, situated at the western edge of the High Mountain Asia region. The inventory, established through a combination of Google Earth optical imagery and Interferometric Synthetic Aperture Radar (InSAR) techniques, encompasses details on the locations, geomorphological parameters, and kinematic attributes of RGs. A total of 275 RGs were cataloged in an area of 55.52 km2 from 3,620 to 5,210 m in altitude. Our inventory shows that most RGs in this region are talus-connected (213 landforms), with the highest frequency facing northeast (23%). The distribution of RGs thins from west to east and is more abundant in higher altitudes.