多功能温度校验仪的原理特点使用注意事项及常见故障

本文以AIK0M公司生产的PD一1020多功能温度校验仪为例,介绍了温度校验仪的原理特点、正确使用方法以及常见故障的排除,对温度传感器、直读式就地温度表计、以及各式温度开关的维修,检查和现场校验以及短支温度探头比对校验具有一定的指导作用。

便携式干孔恒温槽校验仪的正确使用

本文介绍了AIKOM公司生产PD-1020便携式干孔恒温槽的特点、正确使用及常见故障排除方法,对PD-1020便携式干孔恒温槽在现场的正确操作具有一定的指导意义。

Comparison between Infrared and Microwave Radiometers for Retrieving Sea Surface Temperature

The basic principles of sea surface temperature （SST） remote sensing using infrared and microwave radiometers are introduced, and the differences between two sensors for retrieving sea surface temperature are investigated. The ground resolution, atmospheric effect, sea surface wind, skin depth and so on have important influence on precision of sea surface temperature retrieved by two sensors. The better understanding of the advantage and disadvantage of sea surface temperature detected by infrared and microwave radiometers would help us to imply SST remote sensing data more effectively and correctly.

主变冷却器控制回路的分析与改进

某厂主变冷却器控制回路不满足运行要求,通过分析冷却器控制回路,提出改造方案。改造后,回路可靠性得以提高,满足了相关规程规定。

Analytic computation on the forcible thawing temperature field formed by a single heat transfer pipe with unsteady outer surface temperature

A comprehensive and systematic research on the forcible thawing temperature field formed by a single heat transfer pipe with unsteady outer surface temperature was carried out by analytic computation according to the theory of similitude. The distribution law of thawing temperature field, calculation formulas of thawing radius b, heat flux density q and average thawing temperature T were obtained. It theoretically explains that the main influential factors of thawing radius b, heat flux density q and thawing average temperature T are K,f, Lx and co（l）, but Lc affects little. Finally, based on the forcible thawing project of Hulusu air shaft lining, the field data indicate that the analytical formulas of this article are comparatively accurate.

Projections of 2.0°C Warming over the Globe and China under RCP4.5

The outputs of 17 models in the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed to investigate the temporal and spatial features of 2.0°C warming of the surface temperature over the globe and China under the Representative Concentration Pathways (RCP) 4.5 scenario. The simulations of the period 1860-1899 in the "historical" experiment are chosen as the baseline. The simulations for the 21st century in the RCP4.5 experiment are chosen as the future project. The multi-model ensemble mean (MME) shows that the global mean temperature would cross the 2.0°C warming threshold in 2047. Warming in most of the models would cross the threshold during 2030-2060. For local warming, high-latitude areas in the Northern Hemisphere show the fastest warming over the globe. Land areas warm substantially faster than the oceans. Most of the southern oceans would not exceed the 2.0°C warming threshold within the 21st century. Over China, surface warming is substantially faster than the global mean. The area-averaged warming would cross the 2.0°C threshold in 2034. Locally, Northwest China shows the fastest warming trend, followed by Central North China and Northeast China. Central China, East China, and South China are the last to cross the 2.0°C warming threshold. The diversity of the models is also estimated in this study. Generally, the spread among the models increases with time, and there is smaller spread among the models for the areas with the faster warming.

Preliminary Studies on Predicting the Tropical Indian Ocean Sea Surface Temperature through Combined Statistical Methods and Dynamic ENSO Prediction

The sea surface temperature （SST） in the In- dian Ocean affects the regional climate over the Asian continent mostly through a modulation of the monsoon system. It is still difficult to provide an a priori indication of the seasonal variability over the Indian Ocean. It is widely recognized that the warm and cold events of SST over the tropical Indian Ocean are strongly linked to those of the equatorial eastern Pacific. In this study, a statistical prediction model has been developed to predict the monthly SST over the tropical Indian Ocean. This model is a linear regression model based on the lag relationship between the SST over the tropical Indian Ocean and the Nino3.4 （5°S-5°N, 170°W-120°W） SST Index. The pre- dictor （i.e., Nino3.4 SST Index） has been operationally predicted by a large size ensemble E1 Nifio and the Southern Oscillation （ENSO） forecast system with cou- pled data assimilation （Leefs_CDA）, which achieves a high predictive skill of up to a 24-month lead time for the equatorial eastern Pacific SST. As a result, the prediction skill of the present statistical model over the tropical In- dian Ocean is better than that of persistence prediction for January 1982 through December 2009.

Interannual variability of the sea surface salinity and its related freshwater flux in the tropical Pacific:A comparison of CMIP5 and CMIP6

This paper assesses the interannual variabilities of simulated sea surface salinity(SSS)and freshwater flux(FWF)in the tropical Pacific from phases 5 and 6 of the Coupled Model Intercomparison Project(CMIP5 and CMIP6).The authors focus on comparing the simulated SSS and FWF responses to El Nino–Southern Oscillation(ENSO)from two generations of models developed by the same group.The results show that CMIP5 and CMIP6 models can perform well in simulating the spatial distributions of the SSS and FWF responses associated with ENSO,as well as their relationship.It is found that most CMIP6 models have improved in simulating the geographical distribution of the SSS and FWF interannual variability in the tropical Pacific compared to CMIP5 models.In particular,CMIP6 models have corrected the underestimation of the spatial relationship of the FWF and SSS variability with ENSO in the central-western Pacific.In addition,CMIP6 models outperform CMIP5 models in simulating the FWF interannual variability(spatial distribution and intensity)in the tropical Pacific.However,as a whole,CMIP6 models do not show improved skill scores for SSS interannual variability,which is due to their overestimation of the intensity in some models.Large uncertainties exist in simulating the interannual variability of SSS among CMIP5 and CMIP6 models and some improvements with respect to physical processes are needed.

Estimation of the Relationship among Fractional Vegetation Cover, Land Surface Temperature and Electricity Consumption in Taipei City

The cooling effects of urban green vegetation cover, which can help decrease LST （land surface temperature） in urban area. When air temperature decreases, the electricity consumption of household will also mitigate loading. Meanwhile, that lack of assessment of green vegetation coverage impact to LST and electricity consumption, so that it could not clearly quantify the environmental contribution of green coves. In Taipei city, for example, FVC （fractional vegetation cover） value and LST was collected from Aster satellite remote sensing images, and data of household electricity consumption was acquired from Taiwan Power Company. Based on these three factors, it analyzed relative model. In the urban area, fractional vegetation cover might influence with land surface temperature and electricity consumption. The result shows that when the value of fractional vegetation cover is low, the air temperature is high. While fractional vegetation cover is increase, not only the land surface temperature is decreasing but the electricity consumption is also reducing. This study hopes can be the reference materials for the future metropolis plan and to inhibit the spread of urban thermal environment.

Prediction and calculation for new energy development

Some important questions for new energy development were discussed, such as the prediction and calculation of sea surface temperature, ocean wave, offshore platform price, typhoon track, fire status, vibration due to earthquake, energy price, stock market’s trend and so on with the fractal methods (including the four ones of constant dimension fractal, variable dimension fractal, complex number dimension fractal and fractal series) and the improved rescaled range analysis (R/S analysis).

Temperature Dependence of Decuplet Baryon Masses from Thermal QCD Sum Rules

In the present work, the masses of the decuplet baryons at finite temperature are investigated using thermM QCD sum rules. Making use of the quark propagator at finite temperature, we caiculate the spectral functions to T8 order, and find that there are no contributions to the spectral functions at T8 order and the temperature corrections mainly come from that containing T4 ones. The calculations show very little temperature dependence of the masses below T =0.11 GeV. While above that vaJue, the masses decrease with increasing temperature. The results indicate that the hadron-quark phase transition temperature may be Tc ≥ 0.11 GeV for the decuplet bayons.

Modulating the thermal conductivity of silicon nanowires via surface amorphization

We perform non-equilibrium molecular dynamics calculations to study the heat transport in crystalline-core amorphous-shell silicon nanowires(SiNWs).It is found that the thermal conductivity of the core-shell SiNWs is closely related to the cross-sectional area ratio of amorphous shell.Through shell amorphization,an 80%reduction in thermal conductivity compared to crystalline SiNWs with the same size can be achieved,due to the non-propagating heat diffusion in the amorphous region.In contrast to the strong temperature-dependent thermal conductivity of crystalline SiNWs,the core-shell SiNWs only show weak temperature dependence.In addition,an empirical relation is proposed to accurately predict the thermal conductivity of the core-shell SiNWs based on the rule of mixture.The present work demonstrates that SiNWs with an amorphized shell are promising candidates for thermoelectric applications.