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Abstract-this paper discusses advantages and disadvantages of Gaussian model and Harmful duration and area estimation model for environmental accident Prediction in the atmosphere, then compare with two methods of picture characterization. The picture characterization of Harmful duration and area estimation model based on GIS gets space-time distribution as well as the real-time information about...
At present, environment is deteriorating at a rapid pace. Traditional economic system and the environmental system is division. It is harmful to the current environmental protection work. Exploitation of Environmental Economic Decision Support information System (EEDSS) is based on the current environment and economic situation requires, and becomes a keystone. Taking environment economy system as...
A geographic information system (GIS) based software tool, namely SARGIS, is developed to provide supporting information for the maritime search and rescue (SAR) service. SARGIS is mainly consisting of supporting databases, application modules and graphical user interface (GUI). The geographic information, SAR resources, vessel movements and ocean environment databases are established to provide necessary...
In this paper, scenarios of the built environment of a coastal town-Cromer are developed via using an innovative Agent-Based Model (ABM), which distributes housing demand based on algorithms describing interacting agents at the local and regional levels and taking account of the different socio-economic futures, and a CA spatial model is developed in a VR-GIS integrated environment, which is used...
Groundwater is hardly and almost not possible to be seen directly from the earth's surface. Geological methods, involving interpretation of geologic data and field reconnaissance, represent an important early step in groundwater investigation. Remote sensing data from aircraft or satellite has become an increasing valuable tool for understanding subsurface water condition. They are particularly useful,...
Land use change models are the important tools in researching regional landscape dynamics and its driving mechanisms. Researchers have aimed at exploring land use/cover change (LUCC) and predicting future land use pattern in order to improve our understanding of the causes and effects. With the application of CLUE-S (Conversion of Land Use and Its Effects at Small Regional Extent) model and under...
An Artificial neural network analysis model for earthquake-damaged, which couples geographic information systems(GIS) with artificial neural networks (ANN) to predict the seismic damage to multistory buildings based on earthquake intensity and adopt the peak acceleration value, is presented here. ANN is used to learn the patterns of development in the region and test the predictive capacity of the...
Urban growth refers to an increase in the absolute of people living in urban areas and the spatial expansion of those urban areas. The study of the past and present situations of an area gives the influential factors on the pattern of urban growth. In fact, it is possible to predict the future pattern if the growth can be properly modeled. The urban environmental problems are usually valid to a specific...
The prototyping is to realize an original model quickly according to the communication between users and developers to improve the model quality and decrease the faults. According to analyzing the basic characteristics of the mining recycling economy, a spatial decision support system (SDSS) development strategy by using the prototyping is proposed to integrate the technologies of the rapid prototyping,...
Geographical information system (GIS) is a powerful tool in managing and presenting spatial data science it has a lot of geographic functions, but on the contrary it is a limited tool in decision aiding of spatial decision problems. It can't stand alone in taking decision in spatial problem environment. In the same time, decision support system (DSS) is an important aiding tool which supports decision...
This paper focuses on space-time non-linear intelligent modeling for regional data, researches how to apply back-propagation neural network (BPN) into analysis of regional data. Thinking about sectional instability of spatial pattern, this paper divided space units of researching regions into different subregions by improved K-means algorithm based on spatial adjacency relationship. Then build a space-time...
Interaction between land use and water resources is an interactive process, and it is advantageous for the exploitation of water and land resources to quantitatively simulate the interaction process of these two. In this paper, the effects of land use on the change of regional groundwater level in the oasis in the Sangong River Basin, Xinjiang, China are quantitatively analyzed and simulated using...
Based on electrical Map and measured elevation data, noise mapping of South Second Ring in Xi'an City is attained based on GIS and CadnaA software. In the Noise mapping, sound pressure level isn't consistent with measured data. The main reason is that foreign noise prediction model does not apply in China. According to some kinds of feature, such as concentrated viaduct and intersection, host and...
During last ten years there is significant convergence of artificial intelligence (AI) and geographic information systems (GIS). Artificial intelligence provides sophisticated techniques for GIS projects while GIS is a powerful technology with the vast data sets and wide scope of applications for AI. Although there is increasing amount of scientific publications treating AI in GIS, the general concept...
This paper presents a novel agent system which provides a user with useful recommendations of behavior and information based on behavior prediction. The agent understands user's context from a GPS sensor and a mobile phone, and predicts user's future behavior based on user's context. And the prediction of user's future behavior can be used to provide the user with the suggestion of performing behavior...
A city three-dimensional foundation information consultant system is developed to manage the foundation engineering data. Using the geotechnical random field model, it can predict unknown geotechnical parameter. Spatial database of the system is designed in details. The relationship of all needed information database, including physical relation and logical relation is built. The application of the...
Herein we present an ITS framework to provide timely and accurate ITS forecast with the assistance of GIS (Geographic Information System) and an active sensory system. Urban settlements can be viewed as a collection of street regulators acting like points of flow control. Cars are affected in their travel performance when queuing up through these traffic controllers. These flow regulators can be defined...
C/S structure and B/S structure are analyzed respectively, with the combination of watershed hydrological model and new technologies such as ASP.NET, WebGIS and database connection, a real-time flood forecasting system in 3-layer B/S mode is developed. Based on B/S mode, the system realizes the functions like query, maintenance and display of remote information, real-time flood forecasting, correction...
A city three-dimensional foundation information consultant system is developed based on random field theory to predict unknown geotechnical parameters. Taking the geographical information system (GIS) as development platform, the general structure module and database of the system is designed. By means of writing programs in Mapinfo, Visual Basic and Excel, dynamic multi-way inquiry, statistics can...
In order to improve the accuracy of spatial forecasting based on panel data, the significance of spatial autocorrelation on the panel data is tested by Moran I, the first-order spatial autoregressive model and the Kriging algorithm model are established from the perspective of the cross-sectional data, respectively, and back-propagation neural network model trained by the genetic algorithm is established...
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