search query: @instructor Korpi, Jari / total: 6
reference: 6 / 6
« previous | next »
Author: | Zhang, Zhe |
Title: | A spatio-temporal population model for alarming, situation picture and warning system |
Publication type: | Master's thesis |
Publication year: | 2009 |
Pages: | 63 + [15] Language: eng |
Department/School: | Maanmittaustieteiden laitos |
Main subject: | Kartografia ja geoinformatiikka (Maa-123) |
Supervisor: | Virrantaus, Kirsi |
Instructor: | Korpi, Jari |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
Logging on to the customer computers
Opening a thesis
Reading the thesis
Printing the thesis
|
Location: | P1 Ark M80 | Archive |
Keywords: | spatio-temporal model spatio-temporal atom estimation of population size real world object geodatabase estimation methods |
Abstract (eng): | Traditional Geographical Information System (GIS) applications describe reality in a static manner: the time dimension is not taken into account. In real life, most phenomena change with time. That is why spatio- temporal models have become more important in the GIS field. My research topic is a spatio-temporal population model which calculates the amount of people in a certain area at a certain time. The mode is part of the alarming situational picture and warning system for CBRN and natural disaster incidents (UHHA) project, which is funded by the Finnish Funding Agency for Technology and lnnovation (TEKES). Several other organisations are involved in this project, such as Valtion Teknillinen Tutkimuskeskus (VTT), the Finnish Meteorological lnstitute (FMI), lnsta Ltd, Helsinki University and Finnish Chemicals Ltd. The goal of the whole project is to set up an alarm, warning and information exchange system that rescue personnel can use in the event of an emergency. A chemical accident in Kuusankoski is selected as a study case for this research project. Finnish Chemicals Ltd is a company which produces hazardous chemicals such as chlorine. chlorine dioxide. hydrogen. and sodium. In the event of a chemical leakage accident. the Finnish Meteorological Institute is responsible for creating a dispersion model to identify the risk area. This risk area will be the location input of the spatio-temporal population model. The model provides information about how many people are located inside the risk area at a certain time. The whole system architecture is designed by VTT. The data used for implementing the population model should he available for every municipality in Finland. In this case. the Kuusankoski base register data (Building Information System) and Digiroad data are used. The model is implemented in the Java programming language with the help of the ArcEngine API. |
ED: | 2009-04-03 |
INSSI record number: 37278
+ add basket
« previous | next »
INSSI