内蒙古黄河流域水土保持工程水文频率设计模型研究

内蒙古黄河流域水土保持工程水文设计模型把水土保持工程设计中水文计算复杂繁琐的过程变的十分简捷。通过研究绘制水土保持工程所需不同频率24h降雨等值线图,将直接应用于水土保持工程设计中,使工程设计水文计算简便、准确、缩短设计时间,提高设计水平和效率。     

几种观花类秋海棠的耐光性研究

以6种观花类秋海棠为试验对象,进行了耐光性方面的生理生化测定和露地栽培的相关试验,筛选出能适用于全光照条件下露地栽种的观花类秋海棠品种。试验结果表明,‘龙翅’秋海棠最耐光照,而较耐光的球根秋海棠品种为‘景色’系列和‘感召力’系列。     

小型蓄冷蓄热型热泵干燥装置的理论探讨

针对在农副产品干燥加工中传统的封闭式热泵干燥装置存在的不足,介绍了一种蓄冷蓄热型热泵干燥装置,提出了蓄热时间数与蓄冷时间数的概念,以及采用控制蓄热剂温度来控制制冷压缩机的开机与停机的控制方式;并以小型装置为例,计算出采用石蜡作为蓄冷剂与蓄热剂时所需的最小用量,给出了高温中间换热器与低温中间换热器的设计。     

Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

Soil moisture content (SMC) is a key hydrological parameter in agriculture,meteorology and climate change,and understanding of spatio-temporal distributions of SMC in farmlands is important to address the precise irrigation scheduling.However,the hybrid interaction of static and dynamic environmental parameters makes it particularly difficult to accurately and reliably model the distribution of SMC.At present,deep learning wins numerous contests in machine learning and hence deep belief network (DBN) ,a breakthrough in deep learning is trained to extract the transition functions for the simulation of the cell state changes.In this study,we used a novel macroscopic cellular automata (MCA) model by combining DBN to predict the SMC over an irrigated corn field (an area of 22 km~2) in the Zhangye oasis,Northwest China.Static and dynamic environmental variables were prepared with regard to the complex hydrological processes.The widely used neural network,multi-layer perceptron (MLP) ,was utilized for comparison to DBN.The hybrid models (MLP-MCA and DBN-MCA) were calibrated and validated on SMC data within four months,i.e.June to September 2012,which were automatically observed by a wireless sensor network (WSN) .Compared with MLP-MCA,the DBN-MCA model led to a decrease in root mean squared error (RMSE) by 18%.Thus,the differences of prediction errors increased due to the propagating errors of variables,difficulties of knowing soil properties and recording irrigation amount in practice.The sequential Gaussian simulation (s Gs) was performed to assess the uncertainty of soil moisture estimations.Calculated with a threshold of SMC for each grid cell,the local uncertainty of simulated results in the post processing suggested that the probability of SMC less than 25% will be difference in different areas at different time periods.The current results showed that the DBN-MCA model performs better than the MLP-MCA model,and the DBN-MCA model provides a powerful tool for predicting SMC in highly non-linear forms.Moreover,because modeling soil moisture by using environmental variables is gaining increasing popularity,DBN techniques could contribute a lot to enhancing the calibration of MCA-based SMC estimations and hence provide an alternative approach for SMC monitoring in irrigation systems on the basis of canals.     

贵州林业投融资与政策分析

对贵州林业发展现状和投融资渠道进行分析,认为在现有的融资渠道基础上进一步拓展并构建多元化的融资渠道是促进贵州林业可持续发展的关键。     

石屏县森林资源状况调查报告

2006年对云南省石屏县的森林资源状况进行了调查.从其森林资源的结构及特点上报道了本次调查的结果,据此,对石屏县的森林资源消长状态进行了分析,进而提出了石屏县森林资源可持续发展与利用的几点建议.     

对安徽大学图书馆计算机网络系统建设的分析与思考

通过分析安徽大学图书馆的需求,介绍了该馆计算机网络系统具体建设的合理之处,指出了图书馆计算机网络系统建设过程中所应重视的地方,同时也对该系统的不足作出了分析和思考.     

柳州市民信息素养的调查及思考

介绍了对柳州市市民信息素养调查的情况,并根据调查结果详细分析了市民信息素养的现状。认为柳州市民的信息素养不容乐观,图书馆应该为提高市民的信息素养发挥作用。