Assessment of water penetration risk in building facades throughout Brazil

ABSTRACT The penetration of atmospheric water (rain) into facades creates problems for building habitability and the durability of construction materials. This study analyses the exposure of Brazilian facades to the two main climate factors responsible for this penetration: wind-driven rain and driving rain wind pressure. Daily weather records (spanning 2005–14, from 171 weather stations) were analysed. Both exposure factors were combined to assess the risk of water penetration at each site. The relationships between the different exposure indices calculated from daily, monthly and annual records were determined and compared with results from other countries. From this analysis, detailed isopleth maps are provided that allow a graphical characterization of the moisture exposure conditions of facades anywhere in Brazil. A comprehensive characterization of the water penetration exposure in Brazilian enclosures is created and can be used to establish normative design requirements for actual climatic conditions in each area of the country. In general, an increased risk of penetration was identified in the flat areas of the South and Northeast regions of the country. The sites located in the Amazon basin present comparatively lower risks, despite a greater amount of rainfall, because the wind intensity is less in these inland areas.

[1]  C. Giarma,et al.  On building components' exposure to driving rain in Greece , 2014 .

[2]  James G. McGann.  Brazil: An Overview , 2018, Think Tanks, Foreign Policy and the Emerging Powers.

[3]  Robert Černý,et al.  Effect of moisture content on heat and moisture transport and storage properties of thermal insulation materials , 2012 .

[4]  Kim Robert Lisø,et al.  Climate adapted design of masonry structures , 2009 .

[5]  Jan Carmeliet,et al.  On the validity of the cosine projection in wind-driven rain calculations on buildings , 2006 .

[6]  P. K. Bhargava,et al.  Estimation of driving rain index for India , 2002 .

[7]  Ranz,et al.  World Map of the Köppen-Geiger climate classification updated — Source link , 2006 .

[8]  Dominique Derome,et al.  Rainwater runoff from building facades: A review , 2013 .

[9]  Siegfried Siegesmund,et al.  Moisture expansion as a deterioration factor for sandstone used in buildings , 2011 .

[10]  A. E. Charola,et al.  Weathering and Deterioration , 2011 .

[11]  J. Wallace,et al.  On the Seasonality of the Hadley Cell , 2003 .

[12]  Cliff I. Davidson,et al.  Erosion of limestone building surfaces caused by wind-driven rain: 1. Field measurements , 2004 .

[13]  Dina D'Ayala,et al.  Assessment of wind-driven rain impact, related surface erosion and surface strength reduction of historic building materials , 2012 .

[14]  L. Stramma,et al.  Upper-level circulation in the South Atlantic Ocean , 1991 .

[15]  Tadj Oreszczyn,et al.  Solid-wall U-values: heat flux measurements compared with standard assumptions , 2015 .

[16]  Michael A. Lacasse,et al.  Proposed method for calculating water penetration test parameters of wall assemblies as applied to Istanbul, Turkey , 2008 .

[17]  V. Nik,et al.  Future moisture loads for building facades in Sweden: Climate change and wind-driven rain , 2015 .

[18]  Arnold Janssens,et al.  Water infiltration through openings in a vertical plane under static boundary conditions , 2012 .

[19]  J. M. Pérez-Bella,et al.  A new method for determining the water tightness of building facades , 2013 .

[20]  J. Carmeliet,et al.  A review of wind-driven rain research in building science , 2004 .

[21]  J. M. Pérez-Bella,et al.  Procedure for a detailed territorial assessment of wind-driven rain and driving-rain wind pressure and its implementation to three Spanish regions , 2014 .

[22]  Nil Sahal,et al.  Proposed approach for defining climate regions for Turkey based on annual driving rain index and heating degree-days for building envelope design , 2006 .

[23]  Arnold Janssens,et al.  A uniform methodology to establish test parameters for watertightness testing: Part I: A critical review , 2013 .

[24]  J. Carmeliet,et al.  Overview of three state-of-the-art wind-driven rain assessment models and comparison based on model theory , 2010 .

[25]  Jan Carmeliet,et al.  Guidelines for the required time resolution of meteorological input data for wind-driven rain calculations on buildings , 2008 .

[26]  What Determines the Position and Intensity of the South Atlantic Anticyclone in Austral Winter?—An AGCM Study , 2008 .

[27]  J. Verbeek,et al.  Remediating buildings damaged by dampness and mould for preventing or reducing respiratory tract symptoms, infections and asthma. , 2011, The Cochrane database of systematic reviews.

[28]  F. Henriques.  Quantification of wind‐driven rain — An experimental approach , 1992 .

[29]  David E. Jacobs,et al.  Environmental burden of disease associated with inadequate housing: a method guide to the quantification of health effects of selected housing risks in the WHO European region. , 2011 .

[30]  M. Alonso-Martínez,et al.  Global analysis of building façade exposure to water penetration in Chile , 2013 .

[31]  J. Domínguez-Hernández,et al.  Improvement alternatives for determining the watertightness performance of building facades , 2015 .

[32]  Karl K. Turekian,et al.  Ocean currents : a derivative of encyclopedia of ocean sciences, 2nd edition , 2009 .

[33]  G. Howard.  On Validity , 1981 .

[34]  M. A. Veeder,et al.  Atmospheric Circulation , 2019, Dictionary of Geotourism.

[35]  Beatriz Rodríguez-Soria,et al.  Combined use of wind-driven rain and wind pressure to define water penetration risk into building façades: The Spanish case , 2013 .

[36]  G. H. Galbraith,et al.  Moisture permeability measurements under varying barometric pressure , 1997 .

[37]  I. Budaiwi,et al.  The impact of thermal conductivity change of moist fibrous insulation on energy performance of buildings under hot–humid conditions , 2013 .

[38]  Michael A. Lacasse,et al.  A Review of Climate Loads Relevant to Assessing the Watertightness Performance of Walls, Windows, and Wall-Window Interfaces , 2005 .

[39]  H. Ge.  Influence of time resolution and averaging techniques of meteorological data on the estimation of wind-driven rain load on building facades for Canadian climates , 2015 .

[40]  Hartwig M. Künzel,et al.  Advances in hygrothermal building component simulation: modelling moisture sources likely to occur due to rainwater leakage , 2013 .

[41]  S. Xie,et al.  Tropical Atlantic Variability: Patterns, Mechanisms, and Impacts , 2013 .

[42]  J. Frisvad,et al.  Associations between Fungal Species and Water-Damaged Building Materials , 2011, Applied and Environmental Microbiology.

[43]  Beatriz Rodríguez-Soria,et al.  Estimation of the exposure of buildings to driving rain in Spain from daily wind and rain data , 2012 .

[44]  Dominique Derome,et al.  Wind-driven rain on two parallel wide buildings: Field measurements and CFD simulations , 2015 .

[45]  M. Dell’Isola,et al.  Experimental Analysis of Thermal Conductivity for Building Materials Depending on Moisture Content , 2012 .