Because of its merits,acrylic resin was chosen to improve the mechanical,conductive and hydrophobic properties.Carbon fiber powders (CF),carbon nanotubes (MWCNT),and nano-TiO_(2) were incorporated into the acrylic res...Because of its merits,acrylic resin was chosen to improve the mechanical,conductive and hydrophobic properties.Carbon fiber powders (CF),carbon nanotubes (MWCNT),and nano-TiO_(2) were incorporated into the acrylic resin to prepare the corona-proof conductive composite coatings.The incorporation of CF and MWCNT may improve the conductivity and mechanical strength of the coatings.However,the addition of nano-TiO_(2) may increase the hydrophobicity of the coatings.Thus,the effects of different additives on the mechanical properties,conductivity,hydrophobicity and heat resistance of the conductive film were studied.The experimental results show that the incorporation of carbon fiber powders and multi walled carbon nanotubes can significantly improve both the conductivity and mechanical properties of the conductive coatings,and the addition of nano titanium dioxide can improve the hydrophobicity of the conductive film.展开更多
土壤含水量是气候、水文和生态等研究的重要参数。地表温度-植被指数特征空间法是遥感监测土壤含水量的常用方法。以欧洲伊比利亚半岛为研究区,使用MSG-SEVIRI(Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imag...土壤含水量是气候、水文和生态等研究的重要参数。地表温度-植被指数特征空间法是遥感监测土壤含水量的常用方法。以欧洲伊比利亚半岛为研究区,使用MSG-SEVIRI(Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager)晴空数据,构建地表温度日较差-植被覆盖度特征空间。在此特征空间上,结合研究区土壤质地数据,建立土壤含水量反演模型反演土壤体积含水量。利用西班牙REMEDHUS (REd de MEDiciòn de la HUmedad del Suelo)土壤含水量观测网络的实测数据对反演结果进行验证,均方根误差均在0. 05 m^3/m^3以内,具有较高的精度。与常用的地表温度-植被覆盖度特征空间的结果对比证明,以地表温度日较差替代地表温度,能够减小地表温度反演误差导致的土壤含水量估算误差,从而提高土壤含水量反演精度。展开更多
In this paper, a new approach was introduced to estimate surface soil moisture using alternating polarization （AP） data of ad- vanced synthetic aperture radar （ASAR）. First, synthetic aperture radar （SAR） backsc...In this paper, a new approach was introduced to estimate surface soil moisture using alternating polarization （AP） data of ad- vanced synthetic aperture radar （ASAR）. First, synthetic aperture radar （SAR） backscattering characteristic of bare surface at C band was simulated using advanced integrated equation model （AIEM）, and four bare surface backscattering models with different polarization were established. In addition, with simultaneous equations of the for- mer four formulas, the surface roughness was eliminated, and models used to estimate soil moisture on bare surface were derived from simulated multipolarization and multiangle ASAR-AP data. Based on these, the best combination of polarization and incident angle was determined. Finally, soil moisture in the middle stream of the Heihe River Basin was estimated. The field measured data demonstrated that the proposed method was capable of retrieving surface soil moisture for both sparse grassland and homogeneous farmland area.展开更多
基金Funded by the State Grid Shaanxi Electric Power Company (5226KY17001B)the Natural Science Foundation of Hubei Province (2019CFB787)the State Key Laboratory of New Textile Materials and Advanced Processing Technologies (FZ2020012)。
文摘Because of its merits,acrylic resin was chosen to improve the mechanical,conductive and hydrophobic properties.Carbon fiber powders (CF),carbon nanotubes (MWCNT),and nano-TiO_(2) were incorporated into the acrylic resin to prepare the corona-proof conductive composite coatings.The incorporation of CF and MWCNT may improve the conductivity and mechanical strength of the coatings.However,the addition of nano-TiO_(2) may increase the hydrophobicity of the coatings.Thus,the effects of different additives on the mechanical properties,conductivity,hydrophobicity and heat resistance of the conductive film were studied.The experimental results show that the incorporation of carbon fiber powders and multi walled carbon nanotubes can significantly improve both the conductivity and mechanical properties of the conductive coatings,and the addition of nano titanium dioxide can improve the hydrophobicity of the conductive film.
文摘土壤含水量是气候、水文和生态等研究的重要参数。地表温度-植被指数特征空间法是遥感监测土壤含水量的常用方法。以欧洲伊比利亚半岛为研究区,使用MSG-SEVIRI(Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager)晴空数据,构建地表温度日较差-植被覆盖度特征空间。在此特征空间上,结合研究区土壤质地数据,建立土壤含水量反演模型反演土壤体积含水量。利用西班牙REMEDHUS (REd de MEDiciòn de la HUmedad del Suelo)土壤含水量观测网络的实测数据对反演结果进行验证,均方根误差均在0. 05 m^3/m^3以内,具有较高的精度。与常用的地表温度-植被覆盖度特征空间的结果对比证明,以地表温度日较差替代地表温度,能够减小地表温度反演误差导致的土壤含水量估算误差,从而提高土壤含水量反演精度。
基金Supported by the Knowledge Innovation Program of Chinese Academy of Sciences(XMXX280722)Special Fund of China Institute of Water Resources and Hydropower Research(2011)Open Fund of State Key Laboratory of Remote Sensing Science(OFSLRSS201105)
文摘In this paper, a new approach was introduced to estimate surface soil moisture using alternating polarization （AP） data of ad- vanced synthetic aperture radar （ASAR）. First, synthetic aperture radar （SAR） backscattering characteristic of bare surface at C band was simulated using advanced integrated equation model （AIEM）, and four bare surface backscattering models with different polarization were established. In addition, with simultaneous equations of the for- mer four formulas, the surface roughness was eliminated, and models used to estimate soil moisture on bare surface were derived from simulated multipolarization and multiangle ASAR-AP data. Based on these, the best combination of polarization and incident angle was determined. Finally, soil moisture in the middle stream of the Heihe River Basin was estimated. The field measured data demonstrated that the proposed method was capable of retrieving surface soil moisture for both sparse grassland and homogeneous farmland area.
