植被光合有效辐射吸收比例FPAR (Fraction of absorbed Photosynthetically Active Radiation)是碳循环光能利用率模型中的关键参数之一。高分系列卫星的发射,为反演定量遥感产品提供了高时空分辨率的卫星遥感数据,基于高分数据的植被...植被光合有效辐射吸收比例FPAR (Fraction of absorbed Photosynthetically Active Radiation)是碳循环光能利用率模型中的关键参数之一。高分系列卫星的发射,为反演定量遥感产品提供了高时空分辨率的卫星遥感数据,基于高分数据的植被光合有效辐射吸收比例产品能够为生态系统碳循环的分析评估提供更加精细、精度更高的输入参数产品。本文发展了一种基于深度学习的光合有效辐射吸收比例反演方法。该方法利用SAIL(Scattering by Arbitrarily Inclined Leaves)模型模拟多种太阳入射角度、观测角度、大气条件下的植被冠层光合有效辐射吸收比例及冠层反射率,形成海量输入—输出模拟数据集,具有鲁棒性及更好的普适性;基于深度信念网络对数据集进行训练,得到高分一号(GF-1)卫星光合有效辐射吸收比例遥感反演模型。利用中国科学院怀来遥感综合试验站及黑河流域地表过程综合观测网FPAR地面站点连续观测数据对玉米作物、芦苇草地等下垫面反演的FPAR进行了对比验证,RMSE分别为0.15和0.17。本方法以辐射传输模型模拟的多维大气及地表输入—植被冠层输出作为深度学习的训练样本库,弥补了训练样本数量不足及观测数据不全带来的深度学习训练过程中的误差,从而使得模型兼具机理性和高效性。同时,反演的输入为具有太阳角度、观测角度信息的地表反射率产品,降低了输入参数获取的难度,减少输入参数误差传递的影响,有利于实现产品的业务化生产。展开更多
High-power servo motor is widely employed as a necessary actuator in flight vehicles.The urgent problem to be solved restraining the working performance of servo motor is no longer the torque and power,but the heat di...High-power servo motor is widely employed as a necessary actuator in flight vehicles.The urgent problem to be solved restraining the working performance of servo motor is no longer the torque and power,but the heat dissipation capability under high-power working conditions,which may cause the overheat,even burn down of motor or other potential safety hazards.Therefore,a structure of mini cooling channels with appropriate channel density is designed in accordance with the non-uniform heat flux of servo motor in this paper.Combined with the regenerative cooling method,the cryogenic fuel supercritical methane is served as the coolant,which is easy to be obtained from the propulsion system,and the heat from the servo motor can be transported to the combustion for reusing.According to the actual working cases of servo motor,a numerical model is built to predict the thermal performance of cooling channels.In order to better represent the secondary flow of coolant in the cooling channels,especially the turbulent mixed flow in the manifold,the k-εRNG model with enhanced wall treatment is employed resulting from its precise capacity to simulate the secondary and wall shear flow.On this basis,the heat transfer mechanism and thermal performance of cooling channels,as well as the influence of various heat flux ratios are investigated,which can offer an in-depth understanding of restraining excessive temperature rise and non-uniformity distribution of the servo motor.By the calculation results,it can be concluded that under the adjustment of the channel density according to the corresponding heat flux,the positive role of the appropriate channel density and the manifolds on heat transfer is manifested.Moreover,the maximum temperature difference of heating wall can be kept within an acceptable range of the servo motor.The heat transfer coefficient in the manifold is nearly 2–4 times higher compared with that in the straight cooling channels.The effect of buoyancy force cannot be neglected even in the manifold with turbulent mixed flow,and the pattern of heat transfer is mixed convection one in all the flow regions.The thermal resistance R and overall Nusselt number Nu are affected remarkably by all the operation parameters studied in the paper,except the pressure,while the overall thermal performance coefficientηdemonstrates differently.The strong impact of heat flux ratio is implied on thermal performance of the cooling channels.Higher heat flux ratio results in the stronger non-uniform temperature distribution.Meanwhile,only tiny temperature differences of the fluid and inner wall in manifolds among various heat flux ratios are demonstrated,resulting from the positive effect of mixture flow on heat transfer.展开更多
文摘植被光合有效辐射吸收比例FPAR (Fraction of absorbed Photosynthetically Active Radiation)是碳循环光能利用率模型中的关键参数之一。高分系列卫星的发射,为反演定量遥感产品提供了高时空分辨率的卫星遥感数据,基于高分数据的植被光合有效辐射吸收比例产品能够为生态系统碳循环的分析评估提供更加精细、精度更高的输入参数产品。本文发展了一种基于深度学习的光合有效辐射吸收比例反演方法。该方法利用SAIL(Scattering by Arbitrarily Inclined Leaves)模型模拟多种太阳入射角度、观测角度、大气条件下的植被冠层光合有效辐射吸收比例及冠层反射率,形成海量输入—输出模拟数据集,具有鲁棒性及更好的普适性;基于深度信念网络对数据集进行训练,得到高分一号(GF-1)卫星光合有效辐射吸收比例遥感反演模型。利用中国科学院怀来遥感综合试验站及黑河流域地表过程综合观测网FPAR地面站点连续观测数据对玉米作物、芦苇草地等下垫面反演的FPAR进行了对比验证,RMSE分别为0.15和0.17。本方法以辐射传输模型模拟的多维大气及地表输入—植被冠层输出作为深度学习的训练样本库,弥补了训练样本数量不足及观测数据不全带来的深度学习训练过程中的误差,从而使得模型兼具机理性和高效性。同时,反演的输入为具有太阳角度、观测角度信息的地表反射率产品,降低了输入参数获取的难度,减少输入参数误差传递的影响,有利于实现产品的业务化生产。
基金supported by the National Natural Science Foundation of China(Grant No.52106112,52007153)Natural Science Basic Research Plan of Shaanxi Province in China(Program No.2022JM-185)。
文摘High-power servo motor is widely employed as a necessary actuator in flight vehicles.The urgent problem to be solved restraining the working performance of servo motor is no longer the torque and power,but the heat dissipation capability under high-power working conditions,which may cause the overheat,even burn down of motor or other potential safety hazards.Therefore,a structure of mini cooling channels with appropriate channel density is designed in accordance with the non-uniform heat flux of servo motor in this paper.Combined with the regenerative cooling method,the cryogenic fuel supercritical methane is served as the coolant,which is easy to be obtained from the propulsion system,and the heat from the servo motor can be transported to the combustion for reusing.According to the actual working cases of servo motor,a numerical model is built to predict the thermal performance of cooling channels.In order to better represent the secondary flow of coolant in the cooling channels,especially the turbulent mixed flow in the manifold,the k-εRNG model with enhanced wall treatment is employed resulting from its precise capacity to simulate the secondary and wall shear flow.On this basis,the heat transfer mechanism and thermal performance of cooling channels,as well as the influence of various heat flux ratios are investigated,which can offer an in-depth understanding of restraining excessive temperature rise and non-uniformity distribution of the servo motor.By the calculation results,it can be concluded that under the adjustment of the channel density according to the corresponding heat flux,the positive role of the appropriate channel density and the manifolds on heat transfer is manifested.Moreover,the maximum temperature difference of heating wall can be kept within an acceptable range of the servo motor.The heat transfer coefficient in the manifold is nearly 2–4 times higher compared with that in the straight cooling channels.The effect of buoyancy force cannot be neglected even in the manifold with turbulent mixed flow,and the pattern of heat transfer is mixed convection one in all the flow regions.The thermal resistance R and overall Nusselt number Nu are affected remarkably by all the operation parameters studied in the paper,except the pressure,while the overall thermal performance coefficientηdemonstrates differently.The strong impact of heat flux ratio is implied on thermal performance of the cooling channels.Higher heat flux ratio results in the stronger non-uniform temperature distribution.Meanwhile,only tiny temperature differences of the fluid and inner wall in manifolds among various heat flux ratios are demonstrated,resulting from the positive effect of mixture flow on heat transfer.
