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Spatio-temporal modelling of urban sensor network data: mapping air quality risks in Eindhoven, the Netherlands

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Low cost urban air quality sensor networks are increasingly used to study the spatio-temporal variability in air pollutant concentrations. In Eindhoven, the Netherlands, a low cost air quality sensor network was set up in 2013 as part of the civil initiative AIREAS. The aim of this thesis is to evaluate the data quality of the collected data and its usability in spatio temporal modelling and helath effect estimation.
To summarize, this thesis evaluates the use of low cost air quality sensor network data from data collection to application. After careful evaluation of the data quality and removal of outliers, It shows that the data can be used to map air pollutant concentrations at a fine spatial and temporal resolution. These maps can be used to estimate burden of disease at the within city level. Future reseach may address a wide range of application, including sensor network development, policy making, and further health risk assessment.

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Ketersediaan

B20210419011

DS 363.73 VER s

Perpustakaan BIG (300)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

DS 363.73 VER s

Penerbit

Netherland : University of Twente., 2020

Deskripsi Fisik

xvi, 126 hlm. : illus. ; 24 cm.

Bahasa

Inggris

ISBN/ISSN

978-90-365-4229-5

Klasifikasi

363.73

Tipe Isi

text

Tipe Media

other

Tipe Pembawa

unspecified

Edisi

-

Subjek

Polusi Udara

Info Detail Spesifik

-

Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

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