Abstract: Provided is an apparatus for fabricating a flexible display screen. The apparatus for the flexible display screen includes a roller mechanism and a jig, wherein the jig includes a bearing surface configured to bear a flexible display panel, the bearing surface being a curved surface; and the roller mechanism includes a roller, an axis of the roller being parallel to an element line of the bearing surface, and the roller being configured to roll on the bearing surface along a directrix of the bearing surface.

Abstract: A bonding method and a bonding device for a flexible panel. In the process of bonding a protective cover plate and the flexible panel, a heated-type optical adhesive is used, the optical adhesive at normal temperature has relatively low viscosity and the viscosity thereof is below a bondable threshold, so that before the flexible panel and the edge of the protective cover plate are bonded, the optical adhesive and the edge of the protective cover plate come into contact in advance and then can be effectively separated, thus poor bonding in a bending region is avoided, the risk of generating bubbles and cracks is small, and the bonding yield can be improved. Moreover, the optical adhesive is increased in viscosity after heated, thereby ensuring that the flexible panel is bonded to the protective cover plate.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention relates to a method for monitoring a change of vegetation water conservation. The method includes: obtaining global land water storage change data, precipitation, actual evapotranspiration, soil moisture storage, snowmelt, snow water storage, surface water storage, groundwater storage, change in surface and groundwater resources, litterfall interception water storage, average natural water content, maximum water holding capacity and litterfall accumulation; preprocessing the above data, and calculating a change of vegetation canopy water storage; calculating a change of litterfall interception water storage; calculating a change of soil moisture storage; and determining a water conservation change according to the change of vegetation canopy water storage, the change of litterfall interception water storage and the soil moisture change. The method provides new technical support and reference for the evaluation of ecological effects and water conservation during ecological restoration.

Abstract: 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.

Abstract: 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.

Abstract: Methods and systems for estimating a groundwater recharge based on a pixel scale are disclosed. In some embodiments, a method includes the following steps: (1) obtaining an original remote sensing dataset of a climate element in a study area and a pixel area of the study area; (2) calculating a total water resource yield in the study area by a water balance equation according to the original remote sensing dataset of the climate element and the pixel area of the study area; and (3) estimating the groundwater recharge in the study area according to the total water resource yield and the monthly runoff in the study area. The original remote sensing dataset of the climate element includes monthly precipitation per unit pixel area, monthly actual evapotranspiration per unit pixel area, monthly snowmelt per unit pixel area, monthly soil moisture change per unit pixel area, and monthly runoff.

Abstract: The present invention relates to a device for detecting concentration of heavy metals. The device for detecting concentration of heavy metals acquires spectrum information of a carrier to be tested by utilizing a spectrum information acquiring system, a receiving system and a processing system. The device further processes the spectrum information to obtain the type of the carrier to be tested and the corresponding concentration of heavy metals. Therefore, the efficiency of acquiring the whole concentration of the heavy metals is remarkably improved. Furthermore, based on the specific structure of the device for detecting concentration of heavy metals provided by the present invention, the device for detecting concentration of heavy metals has the characteristics of simple structure and low costs.

Abstract: 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.