PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Staab, J.* ; Schady, A.* ; Wolf, K. ; Behzadi, S. ; Dallavalle, M. ; Weigand, M.* ; Lakes, T.* ; Taubenböck, H.*

2000 land-use regressions for road traffic noise predictions – how sample selection affects extrapolation weights.

In: (PROCEEDINGS of the 24th International Congress on Acoustic, 24-28 October 2022, Gyeongju, Korea). 2022. 12-24
The awareness that noise exposure is critical for human health is growing around the globe, and land-use regressions (LURs) are becoming a popular tool for producing noise exposure maps. One important factor for noise emissions is road traffic. The propagation in this regard is determined by the spatial layout of road infrastructure and the surrounding environment, respectively. LURs use geostatistical models and allow to extrapolate microphone measurements. In this study, we investigated whether models are prone to sampling artifacts. We used yearly averaged Lden simulations, compliant to the European noise directive 2002/49/EG, as input for 2000 virtual field campaigns. We permuted different sampling schemes (random, systematic, stratified) and sizes (n = 50, 100, 200, 500 to 1000) 100 times. The overall model performances varied substantially between 0.61 – 0.95 for R², 1.94 – 7.46 dB(A) for mean absolute error and 2.47 – 10.03 dB(A) for root mean squared error. Comparing the eventual model terms using variance analyses (ANOVA), we found significant differences between the sampling schemes for traffic information and land cover (e.g. vegetated surfaces) features. Simultaneously, less than half of the LURs’ weights differed significantly depending on the sampling size. Thus, our experiments give an in-depth view on the mechanics of LUR and their sensitivity with respect to sampled training data
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Konferenzbeitrag
Schlagwörter Traffic noise, Exposure Assessment, Sensitivity Analysis
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
Konferenztitel PROCEEDINGS of the 24th International Congress on Acoustic
Konferzenzdatum 24-28 October 2022
Konferenzort Gyeongju, Korea
Quellenangaben Band: , Heft: , Seiten: 12-24 Artikelnummer: , Supplement: ,
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-001
Scopus ID 85192547043
Erfassungsdatum 2022-11-16
[➜Korrektur melden]