[Objective] This study aimed to analyze the volatile constituents in Lonicera japonica Thunb. from different origins. [Method] HP-5MS capillary columns were used and column temperature was controlled by a program. MS ...[Objective] This study aimed to analyze the volatile constituents in Lonicera japonica Thunb. from different origins. [Method] HP-5MS capillary columns were used and column temperature was controlled by a program. MS analysis was performed with EI and quadruple mass analyzer. The volatile constituents in L. japonica Thunb. were identified by NIST02 and Wiley275 libraries, and their relative contents were determined with chromatographic peak area normalization method. [Result] According to GC-MS total ion-current chromatograms, 35 volatile constituents were identified in L. japonica Thunb. from Guangxi Zhuang Autonomous Region, mainly including methyl linolenate, n-hexadecanoic acid and ζ-muurolene; 18 volatile constituents were identified in L. japonica Thunb. from Hunan Province, mainly including n-hexadecanoic acid, linoleic acid and α-curcumene. [Conclusion] Main volatile constituents in L. japonica Thunb. from two different origins varied significantly.展开更多
The experiment was did in Liaocheng of west Shandong Province from^2009 to 2013 with ‘Lumianyan 28＇ which widely popularized and applied in production as test materials. The author discussed the influence of meteoro...The experiment was did in Liaocheng of west Shandong Province from^2009 to 2013 with ‘Lumianyan 28＇ which widely popularized and applied in production as test materials. The author discussed the influence of meteorological factors change on cotton yield characteristic in different years. The results were as follow：firstly, the accumulated temperature change was not significant in growth period, the coefficient of variation of sunshine hour was up to 7.4%, the coefficient of variation of precipitation was up to 18.4%; secondly, sunshine hour and, seed cotton yield,seed cotton yield before frost, lint yield were positively correlated; last, precipitation and seed cotton yield, seed cotton yield before frost, lint yield were negatively correlated, all reached significant level. It was showed that precipitation was the key meteorological conditions affecting cotton production.展开更多
The development and implementation of a real-time flood forecasting system with a hydro-meteorological operational alert procedure during the MAP-D-PHASE Project is described in this paper. This chain includes both pr...The development and implementation of a real-time flood forecasting system with a hydro-meteorological operational alert procedure during the MAP-D-PHASE Project is described in this paper. This chain includes both probabilistic and deterministic forecasts. The hydrological model used to generate the runoff simulations is the rainfall-runoff distributed FEST-WB model, developed at Politecnico di Milano. The observed data to run the control simulations were supplied by ARPA-Piemonte. The analysis is focused on Maggiore Lake basin, an Alpine basin between North-West of Italy and Southern Switzerland. Two hindcasts during the D-PHASE period are discussed in order to evaluate certain effects regarding discharge forecasts due to hydro-meteorological sources of uncertainties. In particular, in the June convective event it is analysed how the effect of meteorological model spatial resolution can influence the discharge forecasts over mountain basins, while in the November stratiform event how the effect of the initial conditions of soil moisture can modify meteorological warnings. The study shows how the introduction of alert codes appears to be useful for decision makers to give them a spread of forecasted QDFs with the probability of event occurrence, but also how alert warnings issued on the basis of forecasted precipitation only are not always reliable.展开更多
基金Supported by Natural Science Foundation of Guangxi Zhuang Autonomous Region(2011GXNSFF018006)Special Fund for Bagui Scholar Project~~
文摘[Objective] This study aimed to analyze the volatile constituents in Lonicera japonica Thunb. from different origins. [Method] HP-5MS capillary columns were used and column temperature was controlled by a program. MS analysis was performed with EI and quadruple mass analyzer. The volatile constituents in L. japonica Thunb. were identified by NIST02 and Wiley275 libraries, and their relative contents were determined with chromatographic peak area normalization method. [Result] According to GC-MS total ion-current chromatograms, 35 volatile constituents were identified in L. japonica Thunb. from Guangxi Zhuang Autonomous Region, mainly including methyl linolenate, n-hexadecanoic acid and ζ-muurolene; 18 volatile constituents were identified in L. japonica Thunb. from Hunan Province, mainly including n-hexadecanoic acid, linoleic acid and α-curcumene. [Conclusion] Main volatile constituents in L. japonica Thunb. from two different origins varied significantly.
基金Supported by Special Funds for the System Construction of Modern Agricultural Industry Technology(CARS-18-37)~~
文摘The experiment was did in Liaocheng of west Shandong Province from^2009 to 2013 with ‘Lumianyan 28＇ which widely popularized and applied in production as test materials. The author discussed the influence of meteorological factors change on cotton yield characteristic in different years. The results were as follow：firstly, the accumulated temperature change was not significant in growth period, the coefficient of variation of sunshine hour was up to 7.4%, the coefficient of variation of precipitation was up to 18.4%; secondly, sunshine hour and, seed cotton yield,seed cotton yield before frost, lint yield were positively correlated; last, precipitation and seed cotton yield, seed cotton yield before frost, lint yield were negatively correlated, all reached significant level. It was showed that precipitation was the key meteorological conditions affecting cotton production.
文摘The development and implementation of a real-time flood forecasting system with a hydro-meteorological operational alert procedure during the MAP-D-PHASE Project is described in this paper. This chain includes both probabilistic and deterministic forecasts. The hydrological model used to generate the runoff simulations is the rainfall-runoff distributed FEST-WB model, developed at Politecnico di Milano. The observed data to run the control simulations were supplied by ARPA-Piemonte. The analysis is focused on Maggiore Lake basin, an Alpine basin between North-West of Italy and Southern Switzerland. Two hindcasts during the D-PHASE period are discussed in order to evaluate certain effects regarding discharge forecasts due to hydro-meteorological sources of uncertainties. In particular, in the June convective event it is analysed how the effect of meteorological model spatial resolution can influence the discharge forecasts over mountain basins, while in the November stratiform event how the effect of the initial conditions of soil moisture can modify meteorological warnings. The study shows how the introduction of alert codes appears to be useful for decision makers to give them a spread of forecasted QDFs with the probability of event occurrence, but also how alert warnings issued on the basis of forecasted precipitation only are not always reliable.
