Role of watering practices in large-scale urban planning strategies to face the heat-wave risk in future climate
Maxime Daniel (),
A. Lemonsu () and
Vincent Viguié ()
Additional contact information
Maxime Daniel: CNRM - Centre national de recherches météorologiques - INSU - CNRS - Institut national des sciences de l'Univers - OMP - Observatoire Midi-Pyrénées - IRD - Institut de Recherche pour le Développement - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - INSU - CNRS - Institut national des sciences de l'Univers - CNES - Centre National d'Études Spatiales [Toulouse] - CNRS - Centre National de la Recherche Scientifique - Météo-France - CNRS - Centre National de la Recherche Scientifique - UT - Université de Toulouse - Météo-France
Post-Print from HAL
Abstract:
Increasing heat-wave risk due to regional climate evolutions, exacerbated by urban heat island (UHI) effects, is a major threat for the inhabitants of many cities. Adaptive policies such as greening the urban environment are often proposed to limit population vulnerability, as vegetation enables to regulate the microclimate by evapotranspiration. The efficiency of such strategies depends on water availability and raises the issues of water supply for irrigation and of vegetation efficiency. Three vegetation watering alternatives and a scenario of pavement watering are studied and compared using Paris (France) urban area as a case study. With an evolution of the city based on "business as usual" trends, urban climate modeling enables to evaluate both UHI and heat stress under heat-wave conditions in 2100. Vegetation watering is efficient in reducing air temperature and thermal stress, but mostly in residential areas where vegetation density is important enough. Pavement watering is relevant in the densely built city center only where it improves the cooling efficiency and increases the water consumption by 2% only. The combination of both solutions provides the best performances with a reduction (compared to a non irrigated scenario) of the maximum temperature anomaly by 0.8 °C (2.6 °C) during the day (night).
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Published in Urban Climate, 2018, 23, pp.287-308. ⟨10.1016/j.uclim.2016.11.001⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01695085
DOI: 10.1016/j.uclim.2016.11.001
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().