水肥耦合条件下小麦田根系层土壤总磷迁移特征

以小麦为研究对象,通过田间小区试验对生育期内水肥耦合条件下小麦根系层(0~100 cm)总磷浓度迁移过程的监测,系统分析了不同灌水量(高水7.6 mm、低水6.1 mm)及不同施肥量下(高肥125 kg/hm~2、低肥75 kg/hm~2)总磷在根系层的迁移转化规律。     

Impact of winter‐to‐spring environmental variability along the Kuroshio jet on the recruitment of Japanese sardine (Sardinops melanostictus)

Winter‐to‐spring variability in sea surface temperature (SST) and mixed layer depth (MLD) around the Kuroshio current system and its relationship to the survival rate (ln [recruit per spawning stock biomass], LNRPS) of Japanese sardine (Sardinops melanostictus) were investigated based on a correlation analysis of data from 1980 to 1995. The data were from a high‐resolution ocean general circulation model using the ‘Kuroshio axis coordinates’, in which the meridional positions are relocated to a latitude relative to the Kuroshio axis at each longitude, rather than the geographically fixed coordinates. A significant positive (negative) correlation between LNRPS and winter MLD (winter–spring SST) was detected near the Kuroshio axis from areas south of Japan (where eggs are spawned) to the Kuroshio Extension (where larvae are transported). This result is in contrast to previous studies using geographically fixed coordinates, which showed a significant correlation predominantly in the area south of the Kuroshio Extension in winter, where at this time few larvae have been found. From the late 1980s to early 1990s, when the survival rate was remarkably low, MLD around the axis was shallow and SST was high. Although MLD and SST show a significant correlation, significant partial correlations were also observed between February MLD and LNRPS when the contribution of SST was excluded, and between March SST and LNRPS when the contribution of MLD was excluded. We presume that MLD shoaling reduced the nutrient supply from deep layers, resulting in less productivity in the spring, and SST warming could have a negative influence on larval growth.     

黄淮海旱作区土壤压实度空间分布特征及其影响因素

为探究旱作区农田不同层次土壤压实度特征,基于2017年采集的255个土壤样品,运用Mann-Kendall突变检验法、地统计学和冗余分析等方法,探究黄淮海旱作区耕作层和压实层空间分布特征,分析不同层次的土壤压实度的空间变异特性及影响因素,并提出了最佳土壤压实度范围。研究结果表明:旱作区耕作层和压实层厚度均呈现由北向南递增的趋势,耕作层最大厚度可达22.50 cm,最低仅有10.21 cm;压实层厚度最大可达17.50 cm,最小值也达到7.50 cm。从不同层次来看,耕作层和压实层的压实度具有空间分布一致性,耕作层压实度高值区主要分布在河南省东部、安徽北部及河北北部地区,最大值可达87.68%以上,低值区则主要集中在山东西北部以及河北南部地区。和压实层压实度相比,耕作层压实度是影响粮食产量的主要因素,且在70%～80%时获得较高产量。分析表明,土壤压实度受到年降水量、平均气温、土壤自然属性等环境因子和机械耕作等人为因素综合作用的影响。研究结果可为黄淮海农田土壤压实情况的改善及管理措施的科学制定提供理论支撑。     

驱动轴最大静扭强度与表面淬硬层状态关系浅析

拖拉机驱动轴的最大静扭强度和表面淬硬层状态具有直接关系,并进而直接影响驱动轴的疲劳强度。表面淬硬层不连续会使驱动轴的疲劳强度大幅降低而造成驱动轴早期断裂、失效;驱动轴表面淬硬层不连续会使其最大静扭强度降低30%以上;表面淬硬层过浅也会降低最大静扭强度。     

等壳碾压混凝土重力坝层间抗滑稳定可靠度分析

针对以有限元为基础分析碾压混凝土重力坝层间可靠度其功能函数不能显式表达的特点,采用响应面法、JC法、窄界限法原理相结合的可靠度计算方法。由三维非线性有限元对等壳水电站碾压混凝土重力坝各随机变量分位点值的计算结果,采用抗剪断公式构建该电站非溢流坝段层面的功能函数,求得响应面方程,并应用JC法和窄界限法计算层间单元可靠度指标及层间体系可靠度指标,进一步分析材料的变异系数对体系可靠度的影响。结果表明,φ是影响体系可靠度指标的最敏感因子,碾压各层β值一般为4.16～5.70,层间体系可靠度β'为4.12,满足工程要求。该方法计算效率高,实用性强,用于碾压混凝土重力坝层间抗滑稳定可靠度分析是可行的,值得推广。     

紫坪铺水利枢纽引水系统取消厂前伸缩节研究

结合紫坪铺水利枢纽工程的实际情况，采用三维有限元方法对该工程发电引水系统取消伸缩节的可行性进行了研究。计算结果表明，主厂房上游永久分缝处以一段垫层管代替常规伸缩节，结构位移和应力完全可以满足使用要求，从而达到了取消伸缩节、节省工程投资的目的。     

基于SHAW模型的冬小麦近地面层气温模拟

利用一维多层水热耦合SHAW（The simultaneous heat and water）模型,在田间实验的基础上,模拟河南省商丘地区2015年冬小麦拔节后近地面层0~40 cm垂直方向上的每小时气温变化特征。结果表明,冬小麦近地面层气温模拟整体效果较好,其中48%模拟的绝对误差低于1℃,75%模拟的绝对误差低于2℃,不同高度上模型效率ME均大于0.94;夜晚气温的模拟效果优于白天的模拟效果,白天11:00—14:00气温被过低估计,并随着近地面层高度的增加,模拟值误差越大;近地面层内3种气温特征值模拟效果的优劣依次为：日平均气温、日最低气温、日最高气温,其中,日平均气温模拟值与实测值基本吻合,日最低气温被略微高估,日最高气温被过低估计。此外,SHAW模型在冬小麦拔节后6个生育期的模拟效果均存在差异,拔节期、灌浆期和乳熟期模拟效果较好,孕穗期和开花期次之,抽穗期模拟效果相对较差。     

Loop细分技术在犁体曲面造型中的应用

阐述了细分方法的基本思想以及基于三角网格的Loop细分模式的原理和方法；提出了在相关几何造型、有限元分析和动态仿真软件配合下，基于OpenGL环境或CAD二次开发环境的复杂犁体曲面造型的细分方案；对犁体曲面的控制网格生成、边界限定等关键技术进行了讨论。利用该方法可以有效缩短复杂犁体曲面的造型、计算和分析时间。     

Ten-year response of the herbaceous layer to an operational herbicide-shelterwood treatment in a northern hardwood forest

Shelterwood seed cutting in conjunction with herbicide site preparation has proven effective at regenerating Allegheny hardwood forests, but the long-term impact of this silvicultural system on herbaceous vegetation has not been determined. From 1994 to 2004, we studied the impacts of operational herbicide site preparation using glyphosate plus sulfometuron methyl herbicides in the context of a shelterwood seed cut. Our study took place on 10 partially cut sites on the Allegheny National Forest in northwestern Pennsylvania. Half of each site received herbicide and half did not in a split-plot design with repeated measures. Fences were erected after year six because deer impact had increased. Resilience of individual species and the community were determined using measures of percent cover by species or species groups and indices of diversity and similarity comparing post-treatment to pre-treatment conditions and controls. In the short term, abundance of all species was reduced and there were four fewer species on average in treated areas. No species was eliminated by herbicide across all sites in the long term. Graminoids were more abundant on treated plots after year six. Targeted ferns remained less abundant on treated than control plots after 10 years. Species richness recovered within 4 years following treatment. Shannon Diversity and Shannon Evenness were greater in treated than in control plots over the full study period, but the differences were not significant in any single year. The richness-based Jaccard index of similarity did not differ between control and treatment plots after year two, while relative abundance influenced indices showed significant differences through year eight. Results suggest that herbaceous layer vegetation is resilient to the disturbance created by herbicide-shelterwood treatments.     

Design of Double Layer Torsional Reticulated Shell Using Back- Propagation Neural Network

In this paper artificial neural networks are used for design of large span double layer torsional reticulated shell. The torsional reticulated shells with spans varying between 50.0 - 80.0m are considered, Back -propagation algorithm is employed for training efficient neural networks for evaluation of the maximum deflection, weight and design of double layer torsional reticulated shell. A special method is developed for data ordering to reduce the nonlinearity of data and to increase the speed of training. This approach also provides the necessary stability. It shows that it is feasible to design double layer reticulated shell with artificial neural networks.