Applied Mechanics and Materials Vol. 392

Abstract: Hydrological model is an essential tool that has played an important role to manage water resources. In the arid oasis plain, there is almost no runoff from the rainfall event. Water supply mainly depends on the surface runoff generated from the rainfall, snow and glaciers melting in the mountainous region. The oasis is a place where runoff components gradually disappear through evaporation, transpiration. Due to human activities, water transformation occurs frequently among surface runoff, soil water, and groundwater. Based on the oasis water cycle and monthly water balance, a dissipative hydrological model was developed to simulate the quantitative relationship among atmospheric water, surface water, soil water and groundwater. The data set collected in the Hotan Oasis was applied to calibrate the model parameters and validate the model. The results showed that the model structure is reasonable and it can be used to compute the volumes of water consumption in the oasis. By quantitatively calculating the components of water balance, we can kwon where and how much water goes and responding measures of water resources regulation would be made to facilitate the effective and efficient utilization of water resources.

Abstract: The evolution of landslide displacement is affected by many factors. Therefore, it has great significance to find out the factors which play the main role for the landslide dynamic evolution and inducing mechanism. This paper takes Liangshuijing Landslide as an example, combining with the displacement monitoring data, and selects the rainfall of current month, cumulative rainfall of anterior two months, monthly maximum reservoir water level and the monthly average reservoir water level as influencing factors. According to factor analysis, two main factors and rotated component matrix are extracted. And the main influencing factors for the landslide displacement of every year are found. With the comprehensive analysis of the factor loadings in the four factors, we can get the influencing degree order for Liangshuijing Landslide displacement evolution as follows: cumulative rainfall of anterior two months> rainfall of current month> the average reservoir level of current month>reservoir level fluctuation of current month.

Abstract: Aiming at the actual demand of the indoor air quality safety monitoring, an air quality monitoring system was designed based on low-power ZigBee wireless communication technology and micro-controller chip CC2530. By deploying sensor network nodes in monitoring area, the monitoring information, that is, CO, formalin, SO₂ and benzene, are collected in real time and aggregated to the central monitoring system in order to achieve a unified data management and network routing monitoring functions. The central monitoring computer stores and displays the data sent by ZigBee network, thus achieves real-time monitoring of changes in indoor environmental parameters. The monitoring results have shown that this system is stable, high reliable in data transmission and easy to use, and can be applied to the automatic monitoring of environmental parameters in other areas by slight transformation.

Abstract: The dissertation discusses the significance of this thesis of current Intelligent Transportation System forward from the present research as a starting point; secondly, by analyzing the existing problem, we describe the necessity of leading the IOT technology into ITS; finally, we can prove that the new architecture of ITS in IOT can surpass the existing Intelligent Transportation System.

Abstract: In accordance with the non-dimensional data feature of low permeable and low yield reservoir, this paper defines the distance between non-dimensional vectors and establishes a grey correlation degree quantification model of non-dimensional data series, which exploits relevance weighting method and objective weighting method to determine the comprehensive weight of classification indexes respectively and establishes a grey clustering analysis model to sort the oil wells and obtain the maximum spanning tree to classify the low permeable and low yield reservoir in a certain confidence level. The actual classification results of the two laminated production wells of Baoziwan reservoir of Changqing oilfield shows the grey relational clustering analysis of low permeable and low yield reservoir classification has extensive adaptability for non-dimensional data, and the weight is determined rationally, the method could classify oil wells under different confidence level according to different requirement, which has preferable guidance to practical problems.

Abstract: In this paper, a text blind watermarking is proposed and implemented for copyright protection. Based on the characteristics of PDF format, this algorithm uses character spacing coding throughout whole PDF document to embed watermark into it. Robustness and security is further increased by using synchronous coding, cycle encryption and majority decision. Watermark embedding and extracting are implemented under the software environment of VC++ 6.0, and performances are tested and analyzed. Experiments show that the algorithm has good transparency, large capacity and good robustness. It can apply to both of Chinese and English PDF documents.