联合营销在北京森林旅游市场中的应用

通过对北京市森林旅游区市场营销现状的调查和存在问题的分析,针对北京森林旅游市场的实际,提出了一种新的营销模式——联合营销。其具有低投入、高回报、影响广泛、利于资源整合等特点。     

TOTAL ANOMALOUS PULMONARY VENOUS CONNECTION IN A FOAL

An 8-day-old Arabian-Morgan cross colt underwent cardiac evaluation. The foal was tachycardic, tachypneic, exercise intolerant and had a loud right-sided heart murmur and cyanotic mucous membranes. Total anomalous pulmonary venous connection was diagnosed with echocardiography and confirmed at postmortem examination. Total anomalous pulmonary venous connection is a very rare congenital cardiac abnormality that has not been reported before in the horse.     

中小型水电站发电机专用断路器的选择

正确设计选择发电机保护断路器直接关系到水电站后期的电气设备合理投资、运行维护及保证水电站长周期安全经济地运行.过去中小型水轮发电机大都选用普通型的油断路器或真空断路器或SF6断路器等,近些年来选用普通真空断路器的越来越多.中小型水电站应根据不同接线方式、不同容量的发电机出口断路方法,选择发电机专用断路器.     

基于加权Voronoi图的林木竞争指数

以福寿山林场25年生的杉木生态公益林为研究对象,通过分析林木竞争指数与胸径生长因子的相关关系,得出二者为负相关,从而确定加权Voronoi图的权重为胸径倒数(W),借助Arcgis软件里的加权Voronoi图工具,通过加权Voronoi图的方法来确定竞争单元,提出基于加权Voronoi图的W_V_Hegyi竞争指数,最后将W_V_Hegyi竞争指数与Hegyi、V_Hegyi竞争指数进行对比分析,结果表明:1) 3种竞争指数与胸径相关性强弱排序为:W_V_HegyiV_HegyiHegyi;2) 3种竞争指数与胸径服从幂函数关系,曲线拟合度排序为:W_V_HegyiV_HegyiHegyi;3) 样地竞争指数平均值排序均为:V_HegyiW_V_HegyiHegyi。通过以上比较分析证明,W_V_Hegyi竞争指数比Hegyi、V_Hegyi竞争指数能更准确地反映林木间的竞争关系。      

Behavior and Design of High-strength Bolt in Tensile Connection

The tensile strength of high strength bolt is affected by many factors, including prying force. The prying force can result in the increment of bolt force, for which the connection failed ahead of time. Several methods are presented for calculating the prying force. In the China's "Code for Design of Steel Structure" (GB50017), there is no formula for calculation of prying force and a factor of 0.8 is considered in formula for tensile strength of bolt for taking the prying force into account. It is proposed that the design value of tensile resistance for high strength bolt should be increased.     

Construction of Urban Barrier Free Environment Based on Dual-core Model

According to the investigations of urban barrier free facilities, there have been lots of progresses in constructions of barrier free in cities recently. But there are no systematic barrier free facilities in these cities, which would restrict the function and effect of urban barrier free facilities for the handicapped and the elder. This paper puts forward that there should be a development from the urban barrier free facilities to the urban barrier free environment. There are two parts in the barrier free environment,that is the hardy environment and soft environment. Finally,an in-series connection two-core model of barrier free environment has been designed and discussed.     

A MATHEMATICAL MODEL OF FUZZY EVALUATION METHOD FOR ENVIRONMENTAL POLLUTION

The problem of fuzzy evaluation of environmental pollution is importantboth in environment science and in environmental protection.Usual evaluationmethods have their own characteristics.This paper puts forward a mathematicalmodel of fuzzy evaluation method in grades by means of systematic analysisfor environmental pollution.At the same time,it assigns weighted values byordering based on paired comparison.     

基于地理权重回归模型的土壤有机质空间预测

准确了解土壤有机质的空间分布是合理施肥的重要前提,也是水土流失控制及保护环境的重要基础。利用113个土壤有机质样点数据,以海拔高度、土壤侵蚀强度、土地利用、比值植被指数、样点至河流的欧氏距离、亚铁矿物指数及坡度为参考因子,来尝试利用GWR(Geographically Weighted Regression)模型探索多重因素作用下的土壤有机质空间分布,并通过与普通线性回归(ordinary least squares,OLS)相比较,来了解GWR模型的精度,进而进行了土壤有机质的空间制图,并对其制图效果进行了评价。结果表明,与OLS模型相比,GWR预测模型它能显著降低AIC(Akaike Information Criterion)值,较大程度地提高模型的决定系数,并有效地减少模型的回归残差值。从制图的总体效果看,GWR模型的预测结果与实测值的吻合程度要优于OLS模型。文章还对利用GWR模型进行回归时的样点数量、因子筛选及因子定量化等方面进行了相应的讨论。     

基于不同地表曲面模型预测土壤有机碳含量

Local terrain attributes,which are derived directly from the digital elevation model,have been widely applied in digital soil mapping.This study aimed to evaluate the mapping accuracy of soil organic carbon (SOC) concentration in 2 zones of the Heihe River in China,by combining prediction methods with local terrain attributes derived from different polynomial models.The prediction accuracy was used as a benchmark for those who may be more concerned with how accurately the variability of soil properties is modeled in practice,rather than how morphometric variables and their geomorphologic interpretations are understood and calculated.In this study,2 neighborhood types (square and circular) and 6 representative algorithms (Evans-Young,Horn,Zevenbergen-Thorne,Shary,Shi,and Florinsky algorithms) were applied.In general,35 combinations of first-and second-order derivatives were produced as candidate predictors for soil mapping using two mapping methods (i.e.,kriging with an external drift and geographically weighted regression).The results showed that appropriate local terrain attribute algorithms could better capture the spatial variation of SOC concentration in a region where soil properties are strongly influenced by the topography.Among the different combinations of first-and second-order derivatives used,there was a best combination with a more accurate estimate.For different prediction methods,the relative improvement in the two zones varied between 0.30％ and 9.68％.The SOC maps resulting from the higher-order algorithms (Zevenbergen-Thorne and Florinsky) yielded less interpolation errors.Therefore,it was concluded that the performance of predictive methods,which incorporated auxiliary variables,could be improved by attempting different terrain analysis algorithms.