某铜矿石中铜品位为0.53%,其中伴生有价元素金、银的品位分别为0.11 g/t和2.76 g/t,虽然相对较低,但仍具有一定的综合回收利用价值。运用AMICS(Advanced Mineral Identification and Characterization System)对该铜矿中的伴生金银进行...某铜矿石中铜品位为0.53%,其中伴生有价元素金、银的品位分别为0.11 g/t和2.76 g/t,虽然相对较低,但仍具有一定的综合回收利用价值。运用AMICS(Advanced Mineral Identification and Characterization System)对该铜矿中的伴生金银进行了赋存状态研究。查明了该矿石中金银矿物的种类、金银矿物的嵌布特征和嵌布粒度,以及影响它们回收的最主要因素,为其综合回收提供了理论依据。展开更多
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region.Therefore, this study investigated ...There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region.Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis(PCA) on 11 years(2001~2011) of highdimensional monthly photosynthetically active vegetation cover(PV) derived from the Moderate Resolution Imaging Spectroradiometer(MODIS) and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climaterelated variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component(PC1, explaining 94.5%of variance) loadings, as expected, were significantly correlated with the temporal dynamics of the PV(r =0.94), which was mainly governed by regional climate The temporal loadings of PC2 and PC3(0.8% and0.6% of variance, respectively) were significantly correlated with the temporal dynamics of the PV of forests(r = 0.72) and the farmlands(r = 0.80),respectively. The low-order components(PC4 and PC5, 0.3% and 0.2% of variance, respectively) were closely related to the occurrence of drought(r = 0.49)and to irregular ENSO associated climate anomalies(r =-0.54), respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index(SOI) with one to three months of time lags(r =-0.35 ^-0.43, respectively), revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to largescale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios.展开更多
文摘某铜矿石中铜品位为0.53%,其中伴生有价元素金、银的品位分别为0.11 g/t和2.76 g/t,虽然相对较低,但仍具有一定的综合回收利用价值。运用AMICS(Advanced Mineral Identification and Characterization System)对该铜矿中的伴生金银进行了赋存状态研究。查明了该矿石中金银矿物的种类、金银矿物的嵌布特征和嵌布粒度,以及影响它们回收的最主要因素,为其综合回收提供了理论依据。
基金sponsored by the grants of the National Science Council of Taiwan(NSC 98-2221E-002-198-,NSC 98-2313-B-002-062-MY2,NSC 100-2621-B-002-001-MY3)National Taiwan University(EcoNTU:NTU-CESRP-102R7604-2)
文摘There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region.Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis(PCA) on 11 years(2001~2011) of highdimensional monthly photosynthetically active vegetation cover(PV) derived from the Moderate Resolution Imaging Spectroradiometer(MODIS) and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climaterelated variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component(PC1, explaining 94.5%of variance) loadings, as expected, were significantly correlated with the temporal dynamics of the PV(r =0.94), which was mainly governed by regional climate The temporal loadings of PC2 and PC3(0.8% and0.6% of variance, respectively) were significantly correlated with the temporal dynamics of the PV of forests(r = 0.72) and the farmlands(r = 0.80),respectively. The low-order components(PC4 and PC5, 0.3% and 0.2% of variance, respectively) were closely related to the occurrence of drought(r = 0.49)and to irregular ENSO associated climate anomalies(r =-0.54), respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index(SOI) with one to three months of time lags(r =-0.35 ^-0.43, respectively), revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to largescale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios.
