We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze R...We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze River Economic Belt in 2003–2013.Results show that both the subprime mortgage crisis and ‘the new normal' had significant negative effects on productivity growth,leading to the different spatial patterns between 2003–2008 and 2009–2013.Before 2008,green poles had gathered around some capital cities and formed a tripartite pattern,which was a typical core-periphery pattern.Due to a combination of the polarization and the diffusion effects,capital cities became the growth poles and ‘core' regions,while surrounding areas became the ‘periphery'.This was mainly caused by the innate advantage of capital cities and ‘the rise of central China' strategy.After 2008,the tripartite pattern changed to a multi-poles pattern where green poles continuously and densely spread in the midstream and downstream areas.This is due to the regional difference in the leading effect of green poles.The leading effect of green poles in midstream and downstream areas has changed from polarization to diffusion,while the polarization effect still leads in the upstream area.展开更多
In this paper,the row winter wheat was selected as the example to study the com-ponent temperature inversion method of land surface target in detail.The result showed that the structural pattern of row crop can affect...In this paper,the row winter wheat was selected as the example to study the com-ponent temperature inversion method of land surface target in detail.The result showed that the structural pattern of row crop can affect the inversion precision of component temperature evi-dently.Choosing appropriate structural pattern of row crop can improve the inversion precision significantly.The iterative method combining inverse matrix was a stable method that was fit for inversing component temperature of land surface target.The result of simulation and field ex-periment showed that the integrative method could remarkably improve the inversion accuracy of the lighted soil surface temperature and the top layer canopy temperature,and enhance inver-sion stability of components temperature.Just two parameters were sufficient for accurate at-mospheric correction of multi-angle and multi-spectral thermal infrared data:atmospheric trans-mittance and the atmospheric upwelling radiance.If the atmospheric parameters and component temperature can be inversed synchronously,the really and truly accurate atmospheric correction can be achieved.The validation using ATSRII data showed that the method was useful.展开更多
基金Under the auspices of the post-funded project of National Social Science Foundation of China(No.16FJL009)
文摘We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze River Economic Belt in 2003–2013.Results show that both the subprime mortgage crisis and ‘the new normal' had significant negative effects on productivity growth,leading to the different spatial patterns between 2003–2008 and 2009–2013.Before 2008,green poles had gathered around some capital cities and formed a tripartite pattern,which was a typical core-periphery pattern.Due to a combination of the polarization and the diffusion effects,capital cities became the growth poles and ‘core' regions,while surrounding areas became the ‘periphery'.This was mainly caused by the innate advantage of capital cities and ‘the rise of central China' strategy.After 2008,the tripartite pattern changed to a multi-poles pattern where green poles continuously and densely spread in the midstream and downstream areas.This is due to the regional difference in the leading effect of green poles.The leading effect of green poles in midstream and downstream areas has changed from polarization to diffusion,while the polarization effect still leads in the upstream area.
基金This work was supported by the Special Funds for the Major State Bas ic Research Project(Grant No.G2000077900)the Hi-Tech Research and Development Program of China(Grant No.2001AA135110)the National Natural Science Foundation ofChina(Grant Nos.40171073 and 40401036).
文摘In this paper,the row winter wheat was selected as the example to study the com-ponent temperature inversion method of land surface target in detail.The result showed that the structural pattern of row crop can affect the inversion precision of component temperature evi-dently.Choosing appropriate structural pattern of row crop can improve the inversion precision significantly.The iterative method combining inverse matrix was a stable method that was fit for inversing component temperature of land surface target.The result of simulation and field ex-periment showed that the integrative method could remarkably improve the inversion accuracy of the lighted soil surface temperature and the top layer canopy temperature,and enhance inver-sion stability of components temperature.Just two parameters were sufficient for accurate at-mospheric correction of multi-angle and multi-spectral thermal infrared data:atmospheric trans-mittance and the atmospheric upwelling radiance.If the atmospheric parameters and component temperature can be inversed synchronously,the really and truly accurate atmospheric correction can be achieved.The validation using ATSRII data showed that the method was useful.
