Chinese Academy of Sciences

Nanjing Inst of Astronomical Optics & Tech Nat Astronomical Observatories Chinese Acad of Science

Jinfeng Wang

Fei Chen

Yujie Yang

Miao Zhou

Yichao Tian

Guangjie Luo

Xiaoyong Bai

Qin Li

Shijie Wang

Chaojun Li

Yuanhong Deng

Luhua Wu

Zeyin Hu

Jie Tian

Min Liu

Shiqi Tian

Qian Lu

Chen Ran

Yeru Wang

Yuanhuan Xie

Xinnan Li

Meng Huang

Huiwen Li

Yue Cao

Jianyong Xiao

Qinghuan Qian

Cheng Zeng

The present invention discloses a method for estimating soil organic carbon in karst area, including: step 1, establishing a soil organic carbon estimation model for the karst area; step 2, revising a soil depth; step 3, subtracting an exposure rate of bedrock for different types of soil and positive and negative terrains; step 4, revising a soil organic carbon density estimation formula for different types of soil and positive and negative terrains; and step 5, revising a soil organic carbon storage estimation method. This invention has solved the problem of overestimating soil organic carbon pool by existing methods, has improved the calculation accuracy, and has promoted the research process of soil carbon cycle in karst area.

Method for estimating soil organic carbon in karst area

Methods and systems for estimating a surface runoff based on a pixel scale are disclosed. In some embodiments, the method includes the following steps: (1) calculating a vegetation canopy interception water storage, a litterfall interception water storage, and a soil water storage according to an obtained original remote sensing dataset of a climate element in a study area; (2) calculating a vegetation-soil interception water conservation in the study area based on an established vegetation-soil interception water conservation estimation model according to the vegetation canopy interception water storage, the litterfall interception water storage, the soil water storage, and monthly precipitation; and (3) calculating a surface runoff in the study area based on an established water balance water conservation estimation model according to the monthly precipitation, monthly snowmelt, monthly actual evapotranspiration, and the vegetation-soil interception water conservation in the study area.

Method and system for estimating surface runoff based on pixel scale

A magnetron sputtering scanning method for manufacturing a silicon carbide optical reflector surface modification layer and improving surface profile includes (1) for a silicon carbide plane mirror to be modified, first utilizing diamond micro-powders to grind and roughly polish an aspherical silicon carbide reflector with a conventional polishing or CCOS numerical control machining method; (2) after the surface profile precision of the silicon carbide reflector satisfies a modification requirement, utilizing a strip-shaped magnetron sputtering source to deposit a compact silicon modification layer on the surface of the silicon carbide reflector; (3) then, utilizing a circular sputtering source to modify and improve the surface profile of the reflector; and (4) finally, finely polishing the modification layer, and achieving the requirements for machining the surface profile and roughness of the reflector.

Magnetron sputtering scanning method for modifying silicon carbide optical reflector surface and improving surface profile

The present invention relates to a method for determining a surface runoff yield in a vegetation-covered area. The present invention improves and integrates a water conservation model with a Zhang's model based on remote sensing data. The present invention constructs a new method for calculating a surface runoff yield in a vegetation-covered area on a spatial pixel scale based on a water balance equation of the vegetation-covered area. This method utilizes real-time dynamic multi-temporal remote sensing data to calculate a vegetation canopy interception water storage, a vegetation litterfall interception water storage, a soil water storage change, a vegetation water conservation, a vegetation evapotranspiration and a vegetation runoff yield. The method realizes the long-term dynamic estimation of the surface runoff yield in regional and global vegetation-covered areas on a spatial pixel scale. It has the advantages of being efficient, fast, accurate, and applicable to large-scale vegetation-covered areas.

Method for determining surface runoff yield in vegetation-covered area

A frost-prevention film system of a large-aperture reflecting optic infrared telescope used in an extremely low temperature environment and a preparation method thereof is disclosed. The frost-prevention film system has the following structure: a transparent conducting film layer, an intermediate insulation layer, a reflecting film layer and an outermost medium protection layer in sequence from a main telescope mirror surface, wherein both sides of the transparent conducting film layer are provided with conducting electrodes. The steps are as follows: (1) a preparation step; (2) a step of plating a conducting film; (3) a step of plating an intermediate insulation layer; (4) a step of plating a reflecting film layer; (5) a step of plating an outermost medium protection layer; and (6) a step of plating conducting electrodes.

Frost-prevention film system of large-aperture reflecting optic infrared telescope used in extremely low temperature environment and preparation method thereof

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Guiyang, China

Jinfeng Wang