锡林浩特地区太阳紫外辐射分析

为进一步揭示紫外辐射的变化规律,更好地为生产和人们的生活服务,基于锡林浩特国家气候观象台2007—2012年太阳紫外辐射观测资料,运用数理统计学方法与SPSS 11.5软件,分析了锡林浩特地区不同云况条件下太阳紫外辐射规律及与气象要素的相互关系。结果表明:太阳紫外辐射存在明显的日、季、年变化规律。一日内早晚小,中午大。一年内最高值出现在6—8月,最低值出现在11—12月。且与太阳总辐射、光合有效辐射、空气温度、空气湿度、地温0~5 cm存在较显著的相关性。目前锡林浩特地区紫外辐射强度(UV-B)1—3、10—12月最大值范围分别为0.20~1.91、0.13~1.43 W/m~2,低于人和动物的安全标准2 W/m~2,4—9月可出现最大值范围为2.02~3.39 W/m~2,容易对人和动物造成威胁和伤害。     

绿色环保型循环冷却水处理技术

分析了当前绿色环保的循环冷却水的处理工艺、现状、机理和应用情况，指出了绿色环保型循环冷却水的重要性，以期引起业内的重视并提供参考。     

Mapping soil salinity and pH across an estuarine and alluvial plain using electromagnetic and digital elevation model data

Increasing pressures from agriculture and urbanization have resulted in drainage of many floodplains along the eastern Australian coastline, which are underlain by sulphidic sediments, to lower water tables and reduce soil salinity. This leads to oxidation of the sediments with a rapid decline in pH and an increase in salinity. Accurately mapping soil salinity and pH in coastal acid sulphate soil (CASS) landscapes is therefore important. One required map is the extent of highly acidic (i.e. pH < 4.5) areas, so that the application of alkaline amendments (e.g. lime) to neutralize the acid produced can be specifically targeted to the variation in pH. One approach is to use digital soil mapping (DSM) using ancillary information, such as an EM38, digital elevation models (DEM – elevation) and trend surface parameters (east and north). We used an EM38 in the horizontal (EM38h) and vertical (EM38v) modes together with elevation data to develop multiple linear regressions (MLR) for predicting EC_1:5 and pH. For pH, best results were achieved when the EM38 EC_a data were log‐transformed. By comparing MLR models using REML analysis, we found that using all ancillary data was optimal for mapping EC_1:5, whereas the best predictors for pH were north, log‐EM38v and elevation. Using residual maximum likelihood (REML), the final EC_1:5 and pH maps produced were consistent with previously defined soil landscape units, particularly CASS. The DSM approach used is amenable for mapping saline soils and identifying areas requiring the application of lime to manage acidic soil conditions in CASS landscape.     

Contribution of incident solar radiation on leaves and pods to soybean seed weight and composition

The weight and composition of soybean seeds (Glycine Max L. Merrill) depend on changes in carbon and nitrogen assimilate supply during grain filling. Soybean pods and seeds are green, evidencing their capacity to capture light. However, the current physiological knowledge does not consider any effect of incident solar radiation reaching the pods on seed weight and composition. The objective of this work was to investigate the response of seed weight and composition to changes in assimilate supply from leaves, to the incident solar radiation reaching the pods and to the combination of both, changes in assimilate supply from the leaves and incident solar radiation on pods of soybean plants. Field experiments were performed during two growing seasons at Balcarce, Argentina. Treatments modified the amount of assimilates supplied by the leaves (plant shading, defoliation), the solar radiation reaching the pods (pod shading) or both (defoliation and pod shading) during seed filling. Plant shading and defoliation reduced seed weight, oil concentration and oil and protein content and increased the concentration of saturated and poli-unsaturated fatty acids while reduced oleic acid percentage. Pod shading increased the concentration of stearic acid and reduced the concentration of linolenic acid. When pods were shaded on defoliated plants, seed weight and oil and protein content decreased while fatty acid composition was similar to values obtained under defoliation treatment. Based on these results, a conceptual model that considers photoheterotrophic nature of reproductive structures of soybean is proposed. Seed weight, oil and protein content and oil fatty acid composition depended on assimilate availability for the seeds. The response of oil and protein content to assimilate supply depended on whether leaves were present or not. The effect of solar radiation incident on pods depended on the amount of assimilates available for the seeds: (i) when carbon allocated was low (defoliation treatments), pods contributed to seed carbon economy but solar radiation incident on them did not affect fatty acid composition; (ii) when carbon allocated to the seeds was high (intact plants), contribution of pods to seed carbon economy was not significant, but the amount of solar radiation incident on pods produced significant changes in fatty acid composition.     

An evaluation of the net radiation sub-model in the ASCE standardized reference evapotranspiration equation: Implications for evapotranspiration prediction

Net radiation (R_n) is a key component of the surface energy balance, but it is expensive and difficult to measure accurately. For these reasons, R_n is often predicted in evapotranspiration (ET) calculations with a model requiring measurements of incoming shortwave radiation, air temperature, and vapor pressure. We compared R_n predictions from the R_n sub-model used in the American Society of Civil Engineers (ASCE) standardized reference ET equation to mean R_n measurements from five 4-component reference net radiometers. The radiometers were part of a recent comparison study of multiple net radiometer models conducted over irrigated and clipped turfgrass in northern Utah (Blonquist et al., 2009). In the R_n model, net shortwave radiation is determined by direct measurement of solar radiation and an assumed value of albedo for the surface (0.23 for fully vegetated surfaces), and net longwave radiation is calculated with a Brunt (1932, 1952) approach for predicting net surface emissivity, calculated from near surface vapor pressure. Additionally, the ratio of measured incoming shortwave radiation to predicted clear-sky shortwave radiation is used as a surrogate variable for cloud cover in the net longwave radiation calculation. Relative to the reference R_n measurements (average of five 4-component net radiometers), modeled R_n was high during the day by an average of 8.6% and high in magnitude (more negative) at night by an average of 13.4% over hourly time intervals. Daily total R_n calculated by summing the hourly model predictions was always higher than the reference measurements, by an average of 8.1%, whereas daily total R_n calculated from the model over daily time intervals was closer to the reference measurements, 2% high on average. The model R_n error during the day was partly caused by the assumption in the model that surface albedo is a constant value of 0.23. Measurements showed albedo ranged from approximately 0.21 at solar noon to 0.30 near the beginning and end of the day, with a mean value of 0.23. However, most of the model R_n error was due to the prediction of net longwave radiation, where the empirical equation in the model typically yielded values that were too low in magnitude (less negative), by approximately 20% on average, but the error was dependent on time of day. The R_n error at night was largely caused by the inability to measure the surrogate for cloud cover at night, which relies on measurement of solar radiation from a previous time period of sufficient solar zenith angle. All five of the net radiometer models tested in the comparison study matched the mean of the reference net radiometers better than the ASCE model. When modeled hourly R_n was used to calculate ET over hourly time intervals, or when hourly ET values were summed to yield daily ET, ET was typically high, by 6% on average, relative to ET calculated from measured reference R_n. When modeled R_n was calculated over daily time intervals and used to calculate ET over daily time intervals, ET was more accurate, 1% high on average, relative to ET calculated over daily time intervals from measured reference R_n. While new models for R_n are being developed, the sub-model in the ASCE standardized reference ET equation has been in use for the past two decades in thousands of ET stations. As newer models are developed we hope to use this data set to evaluate them.     

基于模糊PID控制的六安瓜片远红外烘焙机设计

根据六安瓜片烘焙工艺的要求,设计了用于拉火工序的远红外烘焙机。茶叶采用不锈钢输送带输送,整机采用3层结构,每层输送带由独立的变频电机驱动,输送带上方布置有陶瓷红外线辐射器,通过红外线温度传感器采集叶温,并研制了基于模糊控制的PID温度控制器来控制温度。试验表明:远红外烘焙机碎茶率为5%(人工烘焙碎茶率为15%),叶温为80°C,人工审评结果认为其成茶品质优于炭火烘焙。     

鼠笼异步磁力联轴器在耐高温磁力泵中的应用

为了对耐高温磁力泵进行设计和研究,保证磁力泵能够顺利启动和正常工作,对磁力泵中鼠笼转子异步磁力联轴器和泵的机械性能进行了对比分析.根据泵的基本性能公式,推导了泵的转矩与转速之间的关系.利用Ansoft Maxwell软件对鼠笼转子异步磁力联轴器进行有限元瞬态分析,得到转矩和转差率之间的关系,并分别对磁力联轴器的启动和正常工作两个阶段的磁场、扭矩进行了研究.通过将泵与磁力联轴器的性能进行综合分析,得出不同的磁力泵在不同转速下的扭矩、转差率等参数,并得出特定参数条件下泵与磁力联轴器的最优组合.试制出耐高温磁力泵样机进行试验验证,试验结果表明：在泵达到最高效率时,磁力泵的试验扭矩与理论分析得到的扭矩误差较小,说明磁力泵达到了最优化的设计结果,并验证了理论分析的正确性.     

不同灌溉模式下光合有效辐射与水稻叶片水分利用效率关系研究

根据江西省示范区晚稻节水灌溉试验资料,研究了不同灌溉模式下叶片水分利用效率随光合有效辐射的变化规律,分析了光合有效辐射与叶片水分利用效率的主要影响因子,气孔导度、胞间CO2浓度以及叶气温差的关系。结果表明:水稻叶片水分利用效率随光合有效辐射的增大表现出先增大后下降的变化趋势,二者之间表现出较好的二次曲线关系;光合有效辐射在500~900μmol/(m2.s)范围内,叶片水分利用效率均大于7.0μmolCO2/mmolH2O;控制灌溉模式下,水稻叶片水分利用效率略大于常规灌溉模式下的单叶水分利用效率,但无明显差异;光合有效辐射与气孔导度、胞间CO2浓度之间表现出较好的多项式关系,与叶气温差呈明显的直线关系,它们的关系从一定程度上揭示了光合有效辐射影响水稻叶片水分利用效率的生理机制。     

电磁振动排种器振动特性的理论分析

排种器是播种机械的核心,是决定播种机性能的主要因素。在设计排种器时,首先要对其进行振动特性分析,找出影响排种器排种性能的因素,并作为后续设计的理论依据。为此,介绍了电磁振动排种器的工作原理,并对其振动特性进行了理论分析,从而为电磁振动排种器的设计提供了理论依据。     

湿式多盘制动器的研究现状及展望

分别对国内外在湿式多盘制动器摩擦副间对流换热机理、摩擦衬片压力分布规律、摩擦偶件温度场与应力场的分析、摩擦衬盘与对偶钢盘的摩擦机理、制动噪声、制动过程的影响因素、整体散热特性及其试验研究等方面的研究现状进行了综述和评价，并对湿式多盘制动器的某些研究内容提出了新的见解，最后展望了湿式多盘制动器的研究方向及其发展动态。