Advanced Materials Research Vols. 610-613

Abstract: For the actual problem of mine emergency rescue with multi-depot and multi-resource deployment, the article proposed a double constraints resources deployment model based on "shortest travel time" and "minimizing the number of rescuing points", with the use of geographic information system (GIS), making mine emergency rescue optimization scheduling technology more visual and intuitive. Finally, an example illustrates that the model optimized the resource allocation scheme, minimized the numbers of rescuing points, and was successfully applied on the platform of "Non-Coal Mine Emergency Rescue and Control"

Abstract: Regarding low-carbon and sustainable development as themes of the era, people concentrate more on resources recycling. However the current social recycling system loses substantial potential recyclable resources and causes additional waste of energy and resources itself, due to the lack of an appropriate and effective mechanism. Based on the studies of modern logistics and reverse logistics, this article proposes a technique as Recycling Reverse Logistics System to solve the problem in order to improve the situation. Combined with E-business and IT technology, the technique provides measures to construct and assess the system. In addition, the article provides a case-study of the campus paper recycling system, so that the technique is tested and validated.

Abstract: By the investigation of 23 samples from street pavement dust in Suzhou city, this article analyzed the the particle size distribution characteristics of lead in street dust, using the X-Ray fluorescence spectrometry and single factor method. The results show that: the lead concentrations in the particle size ranges of <75μm and 75-150μm are higher than the other ranges, which indicates lead is enriched in fine grain size; the particle size ranges of 250-500μm is at mild level of lead pollution, and the other particle size ranges are at medium level.

Abstract: We conducted a tracing model which was based on the process of dopamine diffusion in human brains, taking the diffusion coefficients and absorption coefficients into consideration. By combining with the spatial distributions of heavy metals plotted by ArcGIS, we can determine the contaminant sources and the results have high accuracy. Besides, we made an improvement in consideration of different transmission modes of heavy metal contaminants and the corresponding dilution factors.

Abstract: Spatial variability of soil nitrogen and phosphorus in the Yellow River Delta was investigated using geostatistical method. Our results showed moderate variation in TN and TP and high variations in NH₄⁺-N and AP. The best semi-variogram model for each nutrient was identified. The model parameters suggested that the structure variance dominated the total variance of TN, TP and NH₄⁺-N, while the spatial variability of AP was relatively random. The spatial variation scales of soil nitrogen and phosphorus are similar.

Abstract: Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM_2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

Abstract: High-fluoride groundwater has been detected in many parts of China, and some areas of Aksu Prefecture, Xinjiang Uygur Autonomous Region also suffer from the problem of high-fluoride groundwater. This article analyzed the distribution characteristics and influence factors of F- mass concentration in 22 groundwater samples collected from plain area of Aksu Prefecture. Several measures to deal with the problem of high-fluoride groundwater are proposed. The results show that: F- mass concentration in plain area of Aksu Prefecture was high in east and west and low in central area; F- mass concentration had positively correlated with the pH value ,mass concentration of Mg2- and ρ (K++Na+)/ρ (Ca2+) ratio, and negatively correlated with mass concentration of Ca2+ and HCO3- , no significant correlation with mass concentration of K++Na+, Cl-, SO42- and TDS.

Abstract: Modern agricultural production cannot leave the control of environment. This thesis, on the basis of in depth analysis of greenhouse intelligent control, connect intelligence sensor and the control of SCM(Single Chip Microcomputer) to deal with some factors of greenhouse intelligentialize control. It provided design proposal of SCM humiture and light intensity detecting system. This system used layering and building block design. All the system is consisted by data acquisition system, SCM control system and computer observation system. The core of system is SCM and the measuring element is a number of temperature and humidity sensor. Through the connection of SCM and intelligence sensor, collecting and storing the measured data of intelligence sensor. In the system of SCM, realize the function of procedural expanding storage, real-time display of data, transfinite voice calling, auxiliary data storage. SCM, as a center of supervisory control computer and intelligence sensor connection, make collected data send to supervisory control computer for corresponding through RS232 line and supervisory control computer. Supervisory control computer make the data of SCM transmission proceed to record, to save, to handle and to alarm. It can support staff to scan, to record and to do some dealing.

Abstract: The quality and quantity of groundwater in Shenfu New Town are simulated use Visual MODFLOW, to analyze the influence of leakage and discharge of the sewage treatment plants in plan in future. Three nitrogen is the factor of water quality simulation. The conclusion is analyzed to put forward measure for protection of groundwater.

Abstract: The relative importance of chemical, physical and ecological processes in driving phytoplankton dynamics is poorly understood in Bohai Bay. Here we developed a Bayesian network (BN) model to integrate many of these processes and model the growth of chlorophyll-a in coastal area of Bohai Bay. BNs use probabilistic relationships rather than deterministic rules to quantify the cause and effect assumptions. The result shows that predictions of the model have an average accuracy of 65%, and chlorophyll-a dynamics were primarily driven by nutrients rather than physical environment and biological system. High concentration of nutrients was the suitable environmental condition for harmful algal blooms (HABs).