[Objective] The research aimed to analyze the evolution situation of dry and wet degree in Benxi area in recent 57 years.[Method] By using the annual,quarterly and monthly temperature and precipitation data in Benxi a...[Objective] The research aimed to analyze the evolution situation of dry and wet degree in Benxi area in recent 57 years.[Method] By using the annual,quarterly and monthly temperature and precipitation data in Benxi area during 1953-2009,the interdecadal variations of temperature,precipitation,dry and wet index were analyzed.[Result] The annual average temperature in Benxi area displayed the obvious increase trend,and the linear trend rate was 0.29 ℃/10 a.But the precipitation showed the obvious decrease trend,and the linear trend rate was-29.01 mm/10 a.The dry and wet index showed the decrease trend,and the linear trend rate was-33.61 mm/10 a,which closely related to the rise of temperature and the decrease of precipitation after the 1980s.[Conclusion] It showed the warming-drying development trend in Benxi area.展开更多
A collection of 368 advanced lines and cultivars of spring wheat(Triticum aestivum L.) from Chile, Uruguay, and CIMMYT(Centro Internacional de Mejoramiento de Maíz y Trigo), with good agronomic characteristic...A collection of 368 advanced lines and cultivars of spring wheat(Triticum aestivum L.) from Chile, Uruguay, and CIMMYT(Centro Internacional de Mejoramiento de Maíz y Trigo), with good agronomic characteristics were evaluated under the Mediterranean conditions of central Chile. Three different water regimes were assayed: severe water stress(SWS, rain fed), mild water stress(MWS; one irrigation around booting), and full irrigation(FI; four irrigations: at tillering,flag leaf appearance, heading, and middle grain filling). Traits evaluated were grain yield(GY), agronomical yield components,days from sowing to heading, carbon isotope discrimination(△^13C) in kernels, and canopy spectral reflectance. Correlation analyses were performed for 70 spectral reflectance indices(SRI) and the other traits evaluated in the three trials. GY and △^13C were the traits best correlated with SRI, particularly when these indices were measured during grain filling. However,only GY could be predicted using a single regression, with ResearchNormalized Difference Moisture Index(NDMI2: 2,200; 1,100)having the best fit to the data for the three trials. For △^13C, only individual regressions could be forecast under FI(r^2: 0.25–0.37)and MWS(r^2: 0.45–0.59) but not under SWS(r^2: 0.03–0.09).NIR‐based SRI proved to be better predictors than those that combine visible and NIR wavelengths.展开更多
Indian hematite fines are normally characterized by high iron grade and minor impurities, which are usually used for sinter fines. With macroscale operations technology of blast furnace in Indian, pellets, as a kind o...Indian hematite fines are normally characterized by high iron grade and minor impurities, which are usually used for sinter fines. With macroscale operations technology of blast furnace in Indian, pellets, as a kind of high-quality materials, attract more and more attention. However, the hematite fines possess the coarse size. Hence, they inevitably need to be further finely ground for pelletizing before balling. The grinding behavior of Indian hematite fines was revealed by conducting the ball milling tests and determining the Bond ball mill work index (Wi). The results show that Indian hematite fines have an excellent grindability with Wi of only 7.40-7.73 kWh/t, indicating that ball milling is an economically viable way to pretreat Indian hematite fines. Nonetheless, due to poor sedimentation and filtering properties of wet ground products, the dry ball milling is more appropriate to process Indian hematite fines. In addition, the superior quality green balls can be manufactured with dry ground products under the conditions of 0.5% bentonite dosage, 7.5% moisture and balling for 12 min, which further confirmed that the recommended pellet feed preparation technique is reasonable.展开更多
文摘[Objective] The research aimed to analyze the evolution situation of dry and wet degree in Benxi area in recent 57 years.[Method] By using the annual,quarterly and monthly temperature and precipitation data in Benxi area during 1953-2009,the interdecadal variations of temperature,precipitation,dry and wet index were analyzed.[Result] The annual average temperature in Benxi area displayed the obvious increase trend,and the linear trend rate was 0.29 ℃/10 a.But the precipitation showed the obvious decrease trend,and the linear trend rate was-29.01 mm/10 a.The dry and wet index showed the decrease trend,and the linear trend rate was-33.61 mm/10 a,which closely related to the rise of temperature and the decrease of precipitation after the 1980s.[Conclusion] It showed the warming-drying development trend in Benxi area.
基金supported by the research grant FONDECYT N°1110732PIEI,University of Talca("Programa de Investigación sobre Adaptación de la Agricultura al CambioClimático")+1 种基金supported by the program"Atracción de Capital HumanoAvanzado del Extranjero,Modalidad Estadías Cortas de ConicytNo.80110025"the Spanish project AGL2010‐20180(subprogram AGR)
文摘A collection of 368 advanced lines and cultivars of spring wheat(Triticum aestivum L.) from Chile, Uruguay, and CIMMYT(Centro Internacional de Mejoramiento de Maíz y Trigo), with good agronomic characteristics were evaluated under the Mediterranean conditions of central Chile. Three different water regimes were assayed: severe water stress(SWS, rain fed), mild water stress(MWS; one irrigation around booting), and full irrigation(FI; four irrigations: at tillering,flag leaf appearance, heading, and middle grain filling). Traits evaluated were grain yield(GY), agronomical yield components,days from sowing to heading, carbon isotope discrimination(△^13C) in kernels, and canopy spectral reflectance. Correlation analyses were performed for 70 spectral reflectance indices(SRI) and the other traits evaluated in the three trials. GY and △^13C were the traits best correlated with SRI, particularly when these indices were measured during grain filling. However,only GY could be predicted using a single regression, with ResearchNormalized Difference Moisture Index(NDMI2: 2,200; 1,100)having the best fit to the data for the three trials. For △^13C, only individual regressions could be forecast under FI(r^2: 0.25–0.37)and MWS(r^2: 0.45–0.59) but not under SWS(r^2: 0.03–0.09).NIR‐based SRI proved to be better predictors than those that combine visible and NIR wavelengths.
基金The authors would like to acknowledge the Analytical and Testing Center of Central South University to supply the facilities to fulfill the measurements. The authors also wish to express their thanks to the National Natural Science Foundation of China (No. 51474161) and Hunan Provincial Innovation Foundation for Postgraduate (CX2017B056) for the financial support of this research.
文摘Indian hematite fines are normally characterized by high iron grade and minor impurities, which are usually used for sinter fines. With macroscale operations technology of blast furnace in Indian, pellets, as a kind of high-quality materials, attract more and more attention. However, the hematite fines possess the coarse size. Hence, they inevitably need to be further finely ground for pelletizing before balling. The grinding behavior of Indian hematite fines was revealed by conducting the ball milling tests and determining the Bond ball mill work index (Wi). The results show that Indian hematite fines have an excellent grindability with Wi of only 7.40-7.73 kWh/t, indicating that ball milling is an economically viable way to pretreat Indian hematite fines. Nonetheless, due to poor sedimentation and filtering properties of wet ground products, the dry ball milling is more appropriate to process Indian hematite fines. In addition, the superior quality green balls can be manufactured with dry ground products under the conditions of 0.5% bentonite dosage, 7.5% moisture and balling for 12 min, which further confirmed that the recommended pellet feed preparation technique is reasonable.