Majority of carbon emissions originate from fossil energy consumption,thus necessitating calculation and monitoring of carbon emissions from energy consumption.In this study,we utilized energy consumption data from Si...Majority of carbon emissions originate from fossil energy consumption,thus necessitating calculation and monitoring of carbon emissions from energy consumption.In this study,we utilized energy consumption data from Sichuan Province and Chongqing Municipality for the years 2000 to 2019 to estimate their statistical carbon emissions.We then employed nighttime light data to downscale and infer the spatial distribution of carbon emissions at the county level within the Chengdu-Chongqing urban agglomeration.Furthermore,we analyzed the spatial pattern of carbon emissions at the county level using the coefficient of variation and spatial autocorrelation,and we used the Geographically and Temporally Weighted Regression(GTWR)model to analyze the influencing factors of carbon emissions at this scale.The results of this study are as follows:(1)from 2000 to 2019,the overall carbon emissions in the Chengdu-Chongqing urban agglomeration showed an increasing trend followed by a decrease,with an average annual growth rate of 4.24%.However,in recent years,it has stabilized,and 2012 was the peak year for carbon emissions in the Chengdu-Chongqing urban agglomeration;(2)carbon emissions exhibited significant spatial clustering,with high-high clustering observed in the core urban areas of Chengdu and Chongqing and low-low clustering in the southern counties of the Chengdu-Chongqing urban agglomeration;(3)factors such as GDP,population(Pop),urbanization rate(Ur),and industrialization structure(Ic)all showed a significant influence on carbon emissions;(4)the spatial heterogeneity of each influencing factor was evident.展开更多
本文采用5.4 ke V不同剂量的He离子辐照单层石墨烯,利用X射线光电子能谱(XPS)、拉曼光谱(Raman)和半导体参数分析仪表征辐照前后石墨烯微观结构和电学性能变化.研究结果表明:随着辐照剂量增大,单层石墨烯的缺陷密度逐渐增加,当辐照剂量...本文采用5.4 ke V不同剂量的He离子辐照单层石墨烯,利用X射线光电子能谱(XPS)、拉曼光谱(Raman)和半导体参数分析仪表征辐照前后石墨烯微观结构和电学性能变化.研究结果表明:随着辐照剂量增大,单层石墨烯的缺陷密度逐渐增加,当辐照剂量增至1.6×10^13 He+/cm^2,石墨烯开始由纳米晶结构向无定形碳结构转变,不断增多的缺陷致使石墨烯电导率持续降低,其电子输运机制也由玻尔兹曼扩散输运转变为跃迁输运;狄拉克电压(Vdirac)向正电压方向的偏移量随辐照剂量增大而增大,其主因是辐照缺陷和吸附杂质导致石墨烯P型掺杂效应增强.展开更多
基金supported by the Humanities and Social Sciences Project of the Ministry of Education of the Peoples Republic(No.21YJCZH099)the National Natural Science Foundation of China(Nos.41401089 and 41741014)the Science and Technology Project of Sichuan Province(No.2023NSFSC1979).
文摘Majority of carbon emissions originate from fossil energy consumption,thus necessitating calculation and monitoring of carbon emissions from energy consumption.In this study,we utilized energy consumption data from Sichuan Province and Chongqing Municipality for the years 2000 to 2019 to estimate their statistical carbon emissions.We then employed nighttime light data to downscale and infer the spatial distribution of carbon emissions at the county level within the Chengdu-Chongqing urban agglomeration.Furthermore,we analyzed the spatial pattern of carbon emissions at the county level using the coefficient of variation and spatial autocorrelation,and we used the Geographically and Temporally Weighted Regression(GTWR)model to analyze the influencing factors of carbon emissions at this scale.The results of this study are as follows:(1)from 2000 to 2019,the overall carbon emissions in the Chengdu-Chongqing urban agglomeration showed an increasing trend followed by a decrease,with an average annual growth rate of 4.24%.However,in recent years,it has stabilized,and 2012 was the peak year for carbon emissions in the Chengdu-Chongqing urban agglomeration;(2)carbon emissions exhibited significant spatial clustering,with high-high clustering observed in the core urban areas of Chengdu and Chongqing and low-low clustering in the southern counties of the Chengdu-Chongqing urban agglomeration;(3)factors such as GDP,population(Pop),urbanization rate(Ur),and industrialization structure(Ic)all showed a significant influence on carbon emissions;(4)the spatial heterogeneity of each influencing factor was evident.
文摘目的利用代谢组学技术研究急性氰化物中毒大鼠血浆中小分子代谢物的变化,寻找差异代谢物,分析与氰化物中毒相关的代谢途径,进而研究氰化物中毒的机制。方法将健康SD大鼠随机分为空白对照组和实验组(雄性,每组5只),实验组灌胃3.2 mg/kg(1/2LD50)氰化钾溶液建立氰化物急性中毒模型,对照组灌胃等剂纯水,灌胃后分别于45 min,24 h,120 h眼眶静脉采血,通过高效液相色谱-飞行时间质谱采集大鼠血浆代谢谱,根据主成分分析(PCA)、正交偏最小二乘判别分析(OPLS-DA)以及t检验和变异倍数分析筛选差异代谢物,并通过KEGG(Kyoto Encyclopedia of Genes and Genomes)数据库进行代谢通路分析。结果筛选出19个与氰化物中毒相关的差异代谢物,且随时间变化差异代谢物的种类存在差异,主要涉及胆汁分泌、氨基酸代谢等共11条代谢通路。结论可将牛磺胆酸盐和牛磺鹅胆酸盐作为氰化物中毒潜在生物标志物,马尿酸可以作为两者的辅助指标,也可根据差异代谢物的不同进行服药时间的初步推断。氰化物会对机体酶的活性和能量代谢过程产生影响,且可能造成肝脏损伤。
文摘本文采用5.4 ke V不同剂量的He离子辐照单层石墨烯,利用X射线光电子能谱(XPS)、拉曼光谱(Raman)和半导体参数分析仪表征辐照前后石墨烯微观结构和电学性能变化.研究结果表明:随着辐照剂量增大,单层石墨烯的缺陷密度逐渐增加,当辐照剂量增至1.6×10^13 He+/cm^2,石墨烯开始由纳米晶结构向无定形碳结构转变,不断增多的缺陷致使石墨烯电导率持续降低,其电子输运机制也由玻尔兹曼扩散输运转变为跃迁输运;狄拉克电压(Vdirac)向正电压方向的偏移量随辐照剂量增大而增大,其主因是辐照缺陷和吸附杂质导致石墨烯P型掺杂效应增强.
