Wenfeng Zheng

Impact of human activities on haze in Beijing based on grey relational analysis

Based on the grey relational analysis of haze components and the factors associated with socio-economic development in Beijing, this paper found that social development activities, such as energy consumption per GDP unit, urban road construction and urban greening, have great impact on haze, including both promotion and inhibition impacts. It should be noticed that human activities which gained much attention before, such as ownership of motor vehicles and residential energy consumption, do not have a strong effect on haze according to our study, which is contrary to previous studies and government reports.

Notice of Retraction The Integration Evaluation and Explanation System of Geo-Information in OpenGIS Environment

It appears many new technologies and methods in Geo-information, its application becomes widespread day by day, as a result of its multiplicity in technologies and methods, the record files format, processing method and graphical display of data are also present multiplicity, disorderly, hard to store, and manage. This thesis proposed a kind of geo-information integration evaluation and explanation system based on OpenGIS, conformed to multi-sources, multi-criteria, multi-methods and a mass of multidimensional geo-information data, integrated with specification such as GDAS, GLS, WMS and WFS in OpenGIS, combined with data via GIS platform, offered a convenient and effective tool for experts to explain and evaluate exploration information.

Predicting seismicity trend in southwest of China based on wavelet analysis

The earthquake shows certain characteristics of periodicity or quasi-periodicity, which has been constantly proved by facts and these characteristics have been widely used in analyzing the trend of the seismic activities. On the basis of wavelet analysis, the seismic data in southwest from 1900 to 2013 was analyzed and the features on different time scales were studied. Moreover, an analysis of the future seismic trend was conducted by using wavelet coefficients on all scales and the main period of seismic activities.

The Spatial Data Sharing Web Feature Service in Earthquake Disaster Prevention and Mitigation

This paper constructs a data sharing platform by OpenGIS technology. By using web feature service (WFS), the spatial data circulation can reduce disaster, and carry on the disaster reduction work. We construct the server based on open source software named GeoServer. By using WFS, users can communicate with the server through the communication protocols and execute feature operation to the raw geography data file, database. For instance it can display feature elements directly, such as destroyed roads, house, bridge, etc. Meanwhile it can realize the real-time disaster data management, thus promote the usability and validity of earthquake disaster data sharing. KeywordsData sharing; Geography Mark Language(GML); Web Feature Service(WFS); Feature-level

LBS-Services of Information Integrated and Decision Supported in Logistics Industry

In this paper, we design a logistics information management platform based on LBS technology. On the basis of LBS technology, the platform utilize RFID automatic identification in order to obtain relevant data, make the monitoring in the process of logistics perfect, reduce the logistics aspect and unnecessary losses in the process, drop the security inventory and operating capital in supply chain. As a result, GPS, WebGIS, and mobile communications technology can be integrated into the logistics management system to monitor, response and dispatch the mobile terminals, cargo scheduling and business assets of the logistics system in real-time we also establish geographic data sharing architecture and models, and eliminate geographic data format compatibility problems that widely spread in LBS services, implement share of heterogeneous distributed services. By using intelligent transportation technology, visualization technology and technology of logistics and distribution modernization, we build a logistics services application system based on LBS technology. On this basis, the enterprises competitiveness is improved and logistics industry is informationized.

Spatiotemporal heterogeneity of urban air pollution in China based on spatial analysis

This study aims to explore the spatial heterogeneity and temporal dynamics of urban air pollution. The PM10 data from 2004 to 2013 was chosen as the index of air pollutant. Thirty-one major cities including Beijing and its adjacent cities were selected as the study area. Using Global Spatial Autocorrelation, evaluation of whether the air pollutant’s pattern is clustered in Chinese mainland area during the study period is conducted. Moreover, the Local Moran’s I Index was employed to detect the spatial cluster and outlier distribution of air pollutant. The result shows that air pollution in the study area has made increasing influence on annual average concentration of PM10 in the surrounding area and increasing heterogeneity of PM10. By observing the Local Moran’s I Index distribution of PM10 from 2004 to 2013, it is found that several cities around Beijing in north China, which have been suffering from serious air pollution, are spatially aggregated and have influence on their surrounding air quality. In contrast, Haikou and other coastal cities suffer less air pollution and have some purification effects on air environment of surrounding cities. The aggregated distribution pattern is comparatively stable from 2004 to 2013, which led to the speculation that there is interaction on air pollution between the large-scaled aggregated regions and individual cities. This paper is significant to inspire the awareness of air pollution by local government and the public.

Pre-Sale Visualization of Kitchen & Bath Equipment Self-Design to Purchase Service Platform

In this paper, for the network economic development of the current situation and the specific conditions in the enterprise domestic and abroad, we develop and construct pre- sale visualization of kitchen & bath equipment self-design to purchase service platform for domestic enterprises. The main economic instruments of pre-sales visualization of kitchen & bath equipment self-service designed to purchase platform is to make use of the network (such as e-commerce, etc.), based on GIS / virtual simulation technology, and build kitchen &bath equipment virtual platform so that customers can independently design kitchen & bath virtual environment and equipment procurement in interactive three-dimensional virtual display system. The platform transfer the clients ideas into a visible real- time display of a three-dimensional virtual environment and simulation objects, and provide the customers with reality and on-site sense cannot match , to fulfill the Cognitive and perception needs of customer in Pre-sale visualization of kitchen & bath equipment. This measure cannot only prevent the customer from purchase decision-making mistakes, but also make clients purchase decision faster and more accurate, so the pace of equipment sales can be greatly accelerated, and it can greatly improve the potential market value of enterprises. Based on spatial Information technology, the platform integrates a variety of modern information technology, such as virtual simulation technology, spatial analysis and decision support technology, modern logistics analysis and deployment of storage technology, location-based services, and ERP technology. On the basis of making full use of existing resources, it can reduce maximum operating costs of enterprises and create new revenue channels for enterprises then upgrade the operation and management mechanism.

Seismic Disaster Analyse and Evaluation System Based on OGC Standard

At present, the city quakeproof and disaster reduction, urgent rescue as well as the disaster fast appraisal are important method to reduce the earthquake disaster. Therefore, establishing a real-time, all-around seismic disaster analyse and evaluation system is extremely essential. This article puts forward a seismic disaster analyse and Evaluation System which followed the OGC standard of the related service standard with GLS, GDAS, WFS-T, GML and WMS. It can promote the data sharing level to the feature class. Indicated after the experiment, the system has realized effectively the assessment in seismic disaster analyse and evaluation, and decision support to reduce disaster, emergency succor.

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Abstract With the rapid economic development, the serious air pollution in Beijing attracts increasing attention in the last decade. Seen as one whole complex and grey system, the causal relationship between the social development and the air pollution in Beijing has been quantitatively analyzed in this paper. By using the grey relational model, the aim of this study is to explore how the socio-economic and human activities affect on the air pollution in the city of Beijing, China. Four air pollutants, as the particulate matter with size 2.5 micrometers or less (PM2.5), particulate matter with size 10 micrometers or less (PM10), sulfur dioxide (SO2) and nitrogen dioxide (NOx), are selected as the indicators of air pollution. Additionally, fifteen socio-economic indicators are selected to account for the regional socio-economic characteristics (economy variables, energy consumption variables, pollution emissions variables, environment and construction activity variables). The results highlight that all variables are associated with the concentrations of the four selected air pollutants, but with notable differences between the air pollutants. Most of the socio-economic indicators, such as industrial output, total energy consumption are highly correlated with PM2.5, while PM10, SO2, and NOx present in general moderate correlations with most of the socio-economic variables. Contrary to other studies and reports this study reveals that vehicles and life energy do not have the strongest effect on air pollution in Beijing. This study provides useful information to reduce air pollution and support decision-making for sustainable development.

Wavelet analysis of the temporal-spatial distribution in the Eurasia seismic belt

Due to the growing frequency of earthquakes, safeties of human lives and properties are facing serious threats. However, the research in the field of spatial-temporal distribution of earthquake is quite a few. In this paper, we use wavelet model to analyze the spatial-temporal distribution of earthquakes. Because the spatial-temporal distribution of earthquake activity is closely related to the distribution of the earthquake fault zone, we analyze large-scale earthquake clusters by selecting the Eurasia seismic belt and the surrounding region as the research area. From the perspective of the time domain, the results show that the seismic energy of the earthquake fault zone presences compact support or similar compact support distribution, suggesting that the seismic zone exists a relatively quiet period and active stage. This indicate that the seismic zone is periodical. The period of strong earthquakes above normal and less than normal is different by time changes. The cycles of earthquakes are different due to different regions and different geological and geographical environment.