Review on the measurement theories of enterprise knowledge management during the past three years in China

The implement of enterprise knowledge management gives rise to extensive research on its measurement. Based on the existing measurement theories and evaluation index systems of enterprise knowledge management during the past three years in China, this paper analyzes the problems in measuring target and designing the evaluation index system in the existing research findings, and explains detailedly why measurement target of enterprise knowledge management should be "level evaluation" instead of "performance evaluation", and definitely points out the meanings of enterprise knowledge management level and significance of its evaluation. This paper also indicates that the design of the evaluation index system should be complete, reasonable, proper and operable.     

浅谈延边社会主义新农村建设

建设社会主义新农村全面体现了新时代、新形势下农村经济、政治、文化和社会发展的要求,涉及到农村物质文明建设、政治文明建设、精神文明建设。要提高农民整体素质,培育新型农民;要统筹城乡发展;要提高农民生活水准;要促进乡风文明;要提高民主素质;要保持农村共产党员的先进性。     

不同施肥水平对金丝枣生长和品质的影响

为了研究不同施肥量对金丝枣树生长效应的影响,为辽宁朝阳地区金丝枣合理施肥提高依据。采用田间试验方法,研究不同施肥水平对2a生树龄的金丝枣枣园土壤、叶片SPAD值、单果重、果实横纵经、硬度等品质的影响。结果表明（1）肥料的施用能在一定程度上増加土壤中植物所需速效养分的含量,提高土壤养分含量。（2）适量的氮磷钾施肥水平能够增加果实横纵径和可溶性固形物含量,降低果实的有机酸含量,同时提高叶片的SPAD值。氮磷钾肥料的合理配合施用,能够提高肥料利用率,增加土壤养分含量,改善枣果品质。     

水文分异条件下光养生物膜藻类对氮/磷的响应

光养生物膜是河流生态系统中重要的初级生产者,在河流生物地球化学循环中扮演重要角色。然而,河流水文状态及营养盐差异引起的生境异质性对光养生物膜藻类的影响未知。本研究在微型跑道池模拟流水(0.5 m/s)和静水(0 m/s)条件的基础上,通过设置不同浓度氮(1.51, 2.51和5.51 mg/L)、磷(0.1, 0.2和0.4 mg/L)及氮磷比(8, 16和32)条件培养野外采集的原位生物膜及人工基质,探究水文分异和营养变化对河流光养生物膜藻类物种组成及密度的影响。非度量多维排序(NMDS)分析结果表明,差异水文条件下,原位和建群生物膜藻类群落在梯度氮、磷和氮磷比环境中均呈现明显分离(PERMANOVA,P < 0.001),且建群生物膜中各分组藻类群落具有更明显的差异。双因素方差分析结果表明,生物膜中硅藻、蓝藻和绿藻的生长对营养盐与水文变化的响应并不一致,其中磷处理中,磷与流速单一及其交互效应显著影响了大多数藻类的生长及建群(P < 0.001);而氮处理中,氮与流速的交互效应仅对建群生物膜藻类影响显著(P < 0.001)。研究结果也发现,藻类在静水环境更有利于建群生物膜的形成,且静水-高营养盐环境更有利于蓝藻和绿藻的生长。这些结果说明,生物膜建群初期易受到水文扰动的影响,且水文分异和氮、磷影响了光养生物膜藻类的响应模式,研究为河流生态保护提供了新视角。     

Modeling the water budget in a deep caldera lake and its hydrologic assessment: Lake Ikeda, Japan

The hydrologic assessment of a lake water budget can be helpful in achieving proper water management and sustainable water use. A model to analyze a lake water budget was developed and verified for Lake Ikeda, Japan. Lake evaporation was estimated by numerical analyses of lake water temperature and the lake energy budget. Inflow from the lake catchment area and leakage from the lake bottom were estimated based on the tank model and Darcy's law, and the model parameters were optimized by the shuffled complex evolution method. The estimated monthly lake evaporation rate is consistent with the evaporation rate estimated by the energy budget Bowen ratio method based on in situ data from 2004 to 2005. Moreover, the calculated time series of daily lake levels agrees well with those of measured lake levels during 1983 to 1999. Thus, the model is useful for evaluating the lake water budget. Numerical analysis reveals seasonal and annual variation characteristics in the water budget components. Precipitation, inflow from the catchment area, and river water supply are generally high during the rainy season from June to July with substantial annual variation. Lake evaporation is greatest in October and least in April, but the annual variation is relatively small. Agricultural water use is relatively high from April to September. There are no marked seasonal changes in leakage and drinking water use. The lake level is generally highest in September and lowest in March, which is characterized by seasonal changes in water budget components. The model was also applied to 17-year simulations under hypothetical hydrologic conditions to examine the effect of water use and agricultural water management on the lake level. Results indicate that river water supply, provided under the agricultural water management system, effectively compensates for the decrease in lake water resulting from agricultural water use.     

Integrated management of irrigation water and fertilizers for wheat crop using field experiments and simulation modeling

The reported study aimed at developing an integrated management strategy for irrigation water and fertilizers in case of wheat crop in a sub-tropical sub-humid region. Field experiments were conducted on wheat crop (cultivar Sonalika) during the years 2002–2003, 2003–2004 and 2004–2005. Each experiment included four fertilizer treatments and three irrigation treatments during the wheat growth period. During the experiment, the irrigation treatments considered were I₁ = 10% maximum allowable depletion (MAD) of available soil water (ASW); I₂ = 40% MAD of ASW; I₃ = 60% MAD of ASW. The fertilizer treatments considered in the experiments were F₁ = control treatment with N:P₂O₅:K₂O as 0:0:0 kg ha⁻¹, F₂ = fertilizer application of N:P₂O₅:K₂O as 80:40:40 kg ha⁻¹; F₃ = fertilizer application of N:P₂O₅:K₂O as 120:60:60 kg ha⁻¹ and F₄ = fertilizer application of N:P₂O₅:K₂O as 160:80:80 kg ha⁻¹. In this study CERES-wheat crop growth model of the DSSAT v4.0 was used to simulate the growth, development and yield of wheat crop using soil, daily weather and management inputs, to aid farmers and decision makers in developing strategies for effective management of inputs. The results of the investigation revealed that magnitudes of grain yield, straw yield and maximum LAI of wheat crop were higher in low volume high frequency irrigation (I₁) than the high volume low frequency irrigation (I₃). The grain yield, straw yield and maximum LAI increased with increase in fertilization rate for the wheat crop. The results also revealed that increase in level of fertilization increased water use efficiency (WUE) considerably. However, WUE of the I₂ irrigation schedule was comparatively higher than the I₁ and I₃ irrigation schedules due to higher grain yield per unit use of water. Therefore, irrigation schedule with 40% maximum allowable depletion of available soil water (I₂) could safely be maintained during the non-critical stages to save water without sacrificing the crop yield. Increase in level of fertilization increases the WUE but it will cause environmental problem beyond certain limit. The calibrated CERES-wheat model could predict the grain yield, straw yield and maximum LAI of wheat crop with considerable accuracy and therefore can be recommended for decision-making in similar regions.     

广东省水稻生产机械装备水平灰色预测与分析

利用广东省水稻生产主要环节机械装备保有量的历史数据,建立了灰色GM(1,1)预测模型,对2006-2020年广东省水稻生产机械装备水平进行了预测,并参考广东省水稻生产机械化作业水平值,对其预测结果进行了修正,以便能为政府主管部门制定提高水稻生产机械装备水平的政策措施提供参考依据.     

金华市农业机械化发展水平评价

为促进金华市农业机械化发展,根据现有农业机械化水平评价方法,建立了金华市农业机械化水平评价指标体系,并确定了各指标的权重.在此基础上,利用1996-2006年金华市有关农业机械化统计数据,计算出金华市历年农业机械化水平,同时分析了影响当地农业机械化发展的因素.最后,结合金华市实际,提出了促进金华市农业机械化水平提高的措施与建议.     

联合分析法在混合动力汽车产品定位中的应用研究

从消费者购买决策角度出发,利用联合分析法,构建我国市场A级混合动力汽车属性与水平模型,分析消费者购买混合动力汽车时赋予不同属性的相时重要性及属性水平的效用值,并模拟产品组合市场占有率情况,从而为混合动力汽车产品定位提供依据.     

播量和施肥对甘啤6号产量和品质的影响

为筛选出河西地区啤酒大麦高产优质栽培的适宜播量和施肥组合,以当地啤酒大麦主栽品种甘啤6号为材料,采用正交设计,研究了播量、氮肥、磷肥对该品种产量、籽粒品质及麦芽品质的影响。结果表明,播量、氮肥、磷肥组合对大麦产量、籽粒品质和麦芽品质影响显著。就产量而言,最佳播量为525 万粒·hm^-2,施氮最佳水平为180 kg·hm^-2,P₂O₅最佳水平为90 kg·hm^-2;对产量的影响表现为播量>氮肥>磷肥。播量在375万～525万粒·hm^-2范围内,籽粒蛋白质含量随播量的增加而下降,但播量达到600万粒·hm^-2时蛋白质含量又有所增加。籽粒蛋白质含量随着氮肥施用量的增加呈直线上升趋势,适量施磷可以在保证产量的同时,抑制蛋白质含量的增加;对蛋白含量的影响表现为氮肥>播量>磷肥,对千粒重的影响表现为播量>磷肥>氮肥。综合来看,在播量为525万粒·hm^-2、施氮量为120 kg·hm^-2、P₂O₅施用量为210 kg·hm^-2条件下,甘啤6号具有较高的籽粒产量和较低的蛋白质含量,且千粒重、整齐度和主要麦芽品质均达国家优级水平,因此该处理可作为河西地区甘啤6号实现高产优质的适宜播量与施肥组合。