中国土地变化及其影响的空间建模分析

文章分析了国内的土地利用变化及影响空间模型的建立原理，探讨了其建模的基本组成及信息数据处理的基本措施，得出具体的建模结论，同时对模型的应用进行探讨。     

三维可视化平台下建模分析以及数据的交换——以广州大学为例

使用了三维GIS技术对区域建筑进行虚拟,首先采用ArcGIS to SketchUP6Plugin插件将具有空间参考坐标的广州大学建筑楼的地理数据导入SketchUP,在其中建立带有贴图的精细的广州大学建筑三维模型,最后将三维模型导回Arcscene中进行三维显示及分析。     

Soil aggregate formation and stability induced by starch and cellulose

Soil aggregate (SA) can be formed and stabilized when soil organic matter (SOM) is decomposed in the soil. However, the relationships between the SA dynamics and SOM with different decomposition rates have not been clarified. Therefore, this study examined the effects of the addition of polysaccharides to soil on SA formation and stability. A Japanese tropical soil was incubated for 99 d at 30 °C in a dark environment following the addition of 0.5% (w/w) starch or cellulose. The decomposition rates of the amendments, and SA formation and stability were evaluated by measuring soil respiration rates, and distribution fractions of soil aggregate sizes and mean weight diameter (MWD) of SA, respectively. The cumulative soil respirations with all treatments rapidly increased until Day 12 of the incubation. The initial slope of the cumulative soil respiration in the soil with starch was significantly higher than that in the soil with cellulose. In either soil with starch or cellulose, the fractions of macro-aggregates (>1000 μm in diameter) significantly increased, respectively, compared with control soil. However, the fractions of meso-aggregates (250–1000 μm) and nano-aggregate (<20 μm) in the soil with starch significantly decreased, while those fractions in the soil with cellulose fluctuated until Day 6. The MWDs reached the maximum on Day 6, indicating the SA formation in the soils with starch or cellulose. The increasing rate of the SA formation in the starch-amended soil was greatly higher than that in the cellulose-amended soil. After Day 6, the MWDs in the soils with either polysaccharide decreased with similar trends with no significant differences between treatments, indicating similar stability of the SA in both treatments. This study showed that the different decomposability of the organic amendments might influence the SA formation differently, but not the SA stability.     

液压油液数字建模与仿真

因液压油液的温度、压力及油中已溶解或未溶解的空气量等因素变化时,油液的特性会发生非线性行为变化,从而影响液压系统的性能,为此对液压油的综合特性进行了研究。推导出溶解了空气的液压油液密度及油中空气含量随油液压力、温度变化的函数关系;应用Matlab软件编制的仿真程序,对液压油的非线性特性进行了大量仿真计算,并讨论了影响液压油密度、体积弹性模量的因素。     

Monitoring forage production for farmers’ decision making

Objective management of grazing livestock production systems needs monitoring of forage production at the managerial unit level. Our objectives were to develop a system that routinely estimates forage above-ground net primary production (ANPP) at the spatial and temporal resolution required by farmers in the Pampas of Argentina, and to facilitate adoption of the system by end users as a managerial support tool. Our approach was based on the radiation use efficiency (RUE) logic, which proposes that ANPP is determined by the amount of photosynthetically active radiation absorbed by the canopy (APAR), and the efficiency with which that energy is transformed in above-ground dry matter (radiation use efficiency, RUE). APAR is the product of incoming photosynthetically active radiation (PAR) and the fraction absorbed by the canopy (fPAR). We estimated fPAR as a non-linear function of MODIS normalized difference vegetation index (NDVI). RUE was empirically estimated for the two principal forage resources of the region, yielding the following relations: ANPP = 0.6 × APAR + 12, (R² = 0.86; p < 0.001; n = 18) for the upland sown pastures, and ANPP = 0.27 × APAR + 26, (R² = 0.74; p < 0.001; n = 18) for the lowland naturalized pastures, with ANPP in g/m²/60 days and APAR in MJ/m²/60 days. The models were able to predict independent ANPP values with acceptable accuracy. Computational procedures were automated and run in a Relational Data Base Manager System that stored and managed all the information. The system is currently monitoring 212,794 ha in 83 farms and provides monthly ANPP values for the previous month and a history of the last 6 years. The data so generated show ANPP differences between the two major forage resources, considerable variability of a given month’s ANPP among years and paddocks, and contrasting among-farm differences in the efficiency of conversion of ANPP and forage supplements into beef production. The system was well accepted by end users who utilize it mainly for making near real time decisions according to last month ANPP, and explaining results of previous production cycles by incorporating ANPP as an explicative variable. However, there were differences among farmers in the degree of utilization, apparently related to the advisor’s attitude toward this new technology. Our results indicate that (1) forage production of large extensions can be monthly monitored at the paddock level by a small laboratory with capabilities in geographic information systems, and (2) advisors and farmers apply this information to their managerial decisions.     

车室噪声预估及声-固耦合有限元分析

车内低频噪声直接影响到车室内的声学舒适性,利用有限元软件ANSYS建立汽车驾驶室声-固耦合有限元分析模型。计算在典型的外界激励情况下车内声场的分布情况,为改善车内声学特性,对车内噪声进行预测提供了参考。     

ANSYS软件参数化建模研究

大型通用有限元ANSYS软件在结构分析、结构优化设计等工程问题上有广泛的应用。优化设计成功与否的关键是参数化建模与形成分析文件,本文详细讨论了参数化建模的细节与注意事项以及分析文件的形成,为结构优化设计人员提供帮助。     

稻草与氨化稻草干物质采食量的模型化研究

本研究分别以稻草、氨化稻草为唯一能量和蛋白质来源,实测了山羊稻草、氨化稻草的干物质采食量(DMI),并借鉴现有成熟模型,建立了以稻草、氨化稻草的中性洗涤纤维(NDF)为预测因子的干物质采食量预测模型:DMI稻(g/d.kgMW)=30/NDF(%DM),DMI氨稻(g/d.kgMW)=39/NDF(%DM)。经验证,稻草、氨化稻草DMI预测模型的平均偏差(MD)分别为0.48g/d.kgMW与0.85g/d.kgMW,相应的平均预测方差(MSPE)为0.3599与1.0124。稻草与氨化稻草的MD、MSPE均很低,表明所建DMI预测模型精确可用。     

Evaluation of Water–Nitrogen Schemes for Rice in Iran,Using ORYZA2000 Model

The model ORYZA2000 simulates the growth and development of rice under conditions of potential production and water and nitrogen (N) limitations. Crop simulation models could provide an alternative, less time-consuming, and inexpensive means of determining the optimum crop N and irrigation requirements under varied irrigation and nitrogen conditions. Water productivity (WP) is a concept of partial productivity and denotes the amount or value of product over volume or value of water used. For the evaluated ORYZA2000 model in Iran, a study was carried out in a randomized complete block design between 2005 and 2007, with three replications at the Rice Research Institute of Iran, Rasht. Irrigation management (three regimes) was the main plot and N application (four levels) was the subplot. In this study, simulation modeling was used to quantify water productivity and water balance components of water and nitrogen interactions in rice. Evaluation simulated and measured total aboveground biomass and yield, by adjusted coefficient of correlation, T test of means, and absolute and normalized root mean square errors (RMSE). Results showed that with normalized root mean square errors (RMSE_n) of 5–28%, ORYZA2000 satisfactorily simulated crop biomass and yield that strongly varied among irrigation and nitrogen fertilizer conditions. Yield was simulated with an RMSE of 237–443 kg ha^?1 and a normalized RMSE of 5–11%. Results showed that the significant (28–56%) share of evaporation into evapotranspiration, using the actual yield (measured) and simulated water balance (ORYZA2000), the calculated average WP_ET was significantly lower than the average WP_T: 37%. The average WP_I, WP_I+R, WP_ET, WP_T, and WP_ETQ were 1.4, 1.07, 1.07, 1.57, and 0.82 kg m^?3. Results also showed that irrigation with 8-day intervals and 60 kg N ha^?1, nitrogen level was the optimum irrigation regime and nitrogen level.     

Rabies seroprevalence of street dogs from São Paulo City, Brazil

A sample of 602 street dogs captured by the São Paulo zoonosis-control municipal service was analyzed for the presence of serum antibodies against the rabies virus and compared to a control sample of 37 dogs from the kennel of the police of São Paulo. Data were stratified into 4 age intervals and the age from the street-dog sample was estimated by general aspects and dental observation according to standard techniques. We assumed that seropositivity was due to previous vaccination (no sub-clinical infection). From the prevalence data, we estimated the age-dependent incidence-density rate of vaccination by a simple mathematical model, which also allowed the estimation of the period of antibody protection given by the supposed vaccination. Crude seroprevalence in the street-dog sample was 16.5% and in the sample from the police-kennel dogs was 80%. The average age of first vaccination calculated for the street-dog sample was 5 years of age (if we assumed an average period of vaccine protection of 3 years) — but 5 months of age for the police-kennel sample.