旱地棉花主要促控措施的产量效应分析

本文根据三年试验结果所建立的数学模型,结合4—9月份的不同降雨量条件,对旱地棉花增加种植密度以后各种促控措施(施(?)量、施磷量、打顶日期、化控日期)的合理定量进行了分析。结果认为:早地棉花的高产栽培方案应以种植密度和磷肥的合理定量为基本內容,氮肥、打顶和化控作为依据天气情况和苗情酌情实施的调节措施。最后,依据试验结果,对方案的可行性及优点进行了讨论。     

腐蚀管道剩余寿命的性能衰减模型研究

管道在长期的运行过程中，由于介质和土壤的腐蚀性，管材的微塑性变形、结构转变和渗氢等。不仅会使管道出现各种腐蚀损伤，而且还存在着老化效应和氢化作用，导致管材的脆变并改变材料的塑性，使机械性质参数发生衰退，从管材性能衰减和腐蚀损伤角度研究了管道的剩余寿命，提出了根据结构承载能力的极限值确定塑性变形时工作寿命的方法，为了确定剩余使用寿命，对剪切损伤率和屈服性能比等概念进行定义，在掌握管材金属剪切损害率和屈服性能比的时间特性基础上，建立了剩余寿命计算模型。并给出了算例。     

人工神经网络在电力系统短期负荷预测中的应用

根据电力系统短期负荷变化的特性，提出BP模型在实际负荷预测应用中的方法和步骤．对BP网络结构、样本空间、收敛性等作了有针对性的研究．结果表明：多层神经网络应用于电力系统短期负荷预测是可行和有效的．其预报结果比传统的负荷预测方法更准确、经济、效果更好．     

落叶松人工林地位指数级导向曲线模型的研究

本文用约1000块样地资抖,系统地研究了黑龙江省落叶松人工林的地位指数级导向曲线模型。通过林业统计分析软件Statistica6.0对各落叶松人工林数据进行拟合、分析比较,结果为：从拟合精度、曲线走向与散点分布趋势、残差分布等综合考虑,舒马切尔曲线函数比较适合落叶松人工林地位指数级导向曲线模型的拟合。     

复合图书馆的信息服务探讨

复合图书馆作为图书馆的一种发展形态，有其自身的特点和要求，有许多值得研究的内容。复合图书馆的读者服务工作是图书馆工作的出发点和各项业务工作的最终价值体现。文章分析了目前图书馆读者服务工作面临的形势，探讨了我们应采取的措施。     

莫干山啮虫二新种((虫齿)目:(虫齿)亚目)

本文描述了(虫齿)科二新种,属(虫齿)目的(虫齿)科。模式标本保存于北京农业大学昆虫标本室。     

竹缺爪螨实验种群生命表的研究

在25℃温度条件下，用黄金间碧竹（Bambusa vulgaris cv.vittata)叶饲养竹缺爪螨（Aponychus corpuzae Rimando)，应用生存分析理论和多维矩阵模型组建竹缺爪螨种群生命表，计算得种群主要参数为：内禀增长率rm＝0．0811，净增殖率R0＝5．8368，平均世代长度T＝21．7532d，周限增长率λ=1.0845/d；并分析了种群在不同年龄的生命状态，各发育期重叠情况以及稳定的年龄一阶段分布；最后讨论了应用这2种方法组建螨类生命表的优点。     

黄淮夏大豆超高产育种模式的探讨

通过不同品种（系）和密度的超高产栽培试验，分析四因子和二因子的产量效应，各因子对产量贡献的大小为：亩荚数＞百粒重＞荚粒数。超高产育种和栽培的主攻方向是提高亩荚数，同步增加百粒重。黄淮超高产育种模式：亩荚数４６．７±５．３万，百粒重２２．４±２．６克，每荚粒数２．１８±０．１１个。     

大豆灰斑病Fuzzy测报模型

本文运用模糊数学理论建立了大豆灰斑病预测预报模型。经对国营350农场种植的大豆中熟品种“合丰25”十年的资料拟合,符合率达90%,对中熟品种“黑农26”九年的资料拟合,符合率达89%,对早熟品种“黑河3号”九年的资料拟合,符合率达78%。     

An evaluation of the pesera soil erosion model and its application to a case study in Zakynthos, Greece

Abstract. The Pan‐European Soil Erosion Risk Assessment (pesera ) model was evaluated using existing soil erosion data collected under various types of climate, vegetation, landscape and soil conditions. The data used represent a variety of typical Mediterranean land uses such as winter wheat, vines, olives and bare, stony land prevailing in hilly areas. Using this data, the model was calibrated for sediment transport by overland flow and results compared to measured soil erosion values from runoff plots and a watershed on a monthly basis. The performance of the model was assessed statistically, showing that it can be satisfactorily used for predicting soil erosion rates under the conditions included in the study. The overall model estimate including all the available experimental data was 0.69 t ha^?1 yr^?1 with a maximum error of 1.49 t ha^?1 yr^?1. After validation, the model was applied to a small watershed (60 ha) of great ecological importance for the sea turtle Caretta caretta. For this purpose, soil and vegetation maps were compiled from all the necessary data for applying the model. The model was run for three years using daily data from an existing nearby meteorological station. The predicted and measured soil erosion rates for a 7‐month period were 0.31 t and 0.18 t, respectively. Application of the model to each mapping unit showed the over‐riding importance of land use for sediment generation under the given climatic conditions. Bare land, occupying 5.5% of the watershed area, generated up to 69% of the total sediments estimated for the watershed. It is concluded that the pesera model can be used as a regional diagnostic tool under a range of soil, topographic and climatic conditions for identifying the best land use type and vegetation cover to protect hilly areas from soil erosion. The calculated overall root mean square error for the model is 0.06 t ha^?1 yr^?1, compared to a soil erosion rate of 0.04 t ha^?1 yr^?1, which can be tolerated for protecting the area for the sea turtle.