TY - CONF
T1 - Innovative observations and analysis of human thermal comfort in Amsterdam
AU - Heusinkveld, B.G.
AU - Steeneveld, G.J.
AU - Ronda, R.J.
AU - Attema, J.
AU - Holtslag, A.A.M.
N1 - http://www.meteo.fr/icuc9/Abstract/NOMTM.pdf
PY - 2015
Y1 - 2015
N2 - The Netherlands has a mild mid-latitude climate. Meteorological records for The
Netherlands show that the number of hot summer days has increased, and future climate
change projections predict the same trend. Heat stress is the major cause of weatherrelated
urban human mortality. The urban heat island effect is significant for the
Netherlands (summertime nocturnal UHI 95% >7 K) (Steeneveld et al., 2011, Heusinkveld et
al., 2014) as more than 80% of the Dutch population live in cities and are thus subject to
such added stress. For human thermal comfort during heat waves, shading is more
important than wind according to Mayer and Höppe, 1987. However, for the Netherlands
wind may also be relevant due to the proximity of the sea and large lake bodies. Here,
measurements and analysis results are presented using an innovative mobile measurement
system and a dense urban weather station network. The mobile measurements were used
to assess the spatial variability of human thermal comfort (Heusinkveld, et al., 2010 &
2014). A key feature of the mobile measurement system is the direct measurement of
mean radiant temperature and wind speed. To do so, a special cargo bicycle was equipped
with 6 pyranometers, 6 pyrgeometers, 2D wind speed/direction, temperature, humidity,
bicycle speed and GPS sensors. Mobile measurements can provide great spatial detail from
a large set of sensors. However temporal resolution is limited and therefore a dense urban
weather station network of temperature/humidity and wind speed was set up. Within a
city the lower average wind speed increases the radiation induced temperature error of a
thermometer screen. To minimize such errors, all air temperature/humidity sensors used
on the mobile and urban weather stations were equipped with aspirated thermometer
screens.
References:
Heusinkveld BG, LWA van Hove, CMJ Jacobs, GJ Steeneveld, JA Elbers, EJ Moors, AAM
Holtslag (2010) Use of a mobile platform for assessing urban heat stress in Rotterdam,
Proceedings of the 7th Conference on Biometeorology. Instituts der Albert-Ludwigs-
Universität Freiburg 20 (2010). - ISSN 1435-618X - p. 433–438. Freiburg: 2010.
Heusinkveld, B.G. , Steeneveld, G.J. , Hove, L.W.A. van , Jacobs, C.M.J. , Holtslag, A.A.M.,
2014: Spatial variability of the Rotterdam urban heat island as influenced by urban land
use. Journal of Geophysical Research - Atmospheres 119, 677 - 692.
Mayer H, Hoppe P (1987) Thermal comfort of man in different urban environments, Theor
Appl Clim 38: 43-49.
Steeneveld, G.J., S. Koopmans, B.G. Heusinkveld, L.W.A. van Hove, and A.A.M. Holtslag,
2011: Quantifying urban heat island effects and human comfort for cities of variable size
and urban morphology in The Netherlands., J. Geophys. Res., 116, D20129,
doi:10.1029/2011JD015988.
AB - The Netherlands has a mild mid-latitude climate. Meteorological records for The
Netherlands show that the number of hot summer days has increased, and future climate
change projections predict the same trend. Heat stress is the major cause of weatherrelated
urban human mortality. The urban heat island effect is significant for the
Netherlands (summertime nocturnal UHI 95% >7 K) (Steeneveld et al., 2011, Heusinkveld et
al., 2014) as more than 80% of the Dutch population live in cities and are thus subject to
such added stress. For human thermal comfort during heat waves, shading is more
important than wind according to Mayer and Höppe, 1987. However, for the Netherlands
wind may also be relevant due to the proximity of the sea and large lake bodies. Here,
measurements and analysis results are presented using an innovative mobile measurement
system and a dense urban weather station network. The mobile measurements were used
to assess the spatial variability of human thermal comfort (Heusinkveld, et al., 2010 &
2014). A key feature of the mobile measurement system is the direct measurement of
mean radiant temperature and wind speed. To do so, a special cargo bicycle was equipped
with 6 pyranometers, 6 pyrgeometers, 2D wind speed/direction, temperature, humidity,
bicycle speed and GPS sensors. Mobile measurements can provide great spatial detail from
a large set of sensors. However temporal resolution is limited and therefore a dense urban
weather station network of temperature/humidity and wind speed was set up. Within a
city the lower average wind speed increases the radiation induced temperature error of a
thermometer screen. To minimize such errors, all air temperature/humidity sensors used
on the mobile and urban weather stations were equipped with aspirated thermometer
screens.
References:
Heusinkveld BG, LWA van Hove, CMJ Jacobs, GJ Steeneveld, JA Elbers, EJ Moors, AAM
Holtslag (2010) Use of a mobile platform for assessing urban heat stress in Rotterdam,
Proceedings of the 7th Conference on Biometeorology. Instituts der Albert-Ludwigs-
Universität Freiburg 20 (2010). - ISSN 1435-618X - p. 433–438. Freiburg: 2010.
Heusinkveld, B.G. , Steeneveld, G.J. , Hove, L.W.A. van , Jacobs, C.M.J. , Holtslag, A.A.M.,
2014: Spatial variability of the Rotterdam urban heat island as influenced by urban land
use. Journal of Geophysical Research - Atmospheres 119, 677 - 692.
Mayer H, Hoppe P (1987) Thermal comfort of man in different urban environments, Theor
Appl Clim 38: 43-49.
Steeneveld, G.J., S. Koopmans, B.G. Heusinkveld, L.W.A. van Hove, and A.A.M. Holtslag,
2011: Quantifying urban heat island effects and human comfort for cities of variable size
and urban morphology in The Netherlands., J. Geophys. Res., 116, D20129,
doi:10.1029/2011JD015988.
M3 - Abstract
ER -