000170250 001__ 170250
000170250 005__ 20260410165450.0
000170250 0247_ $$2doi$$a10.1007/s00477-017-1480-2
000170250 0248_ $$2sideral$$a103600
000170250 037__ $$aART-2017-103600
000170250 041__ $$aeng
000170250 100__ $$0(orcid)0000-0003-4278-6622$$aPérez-Bella, J.M.$$uUniversidad de Zaragoza
000170250 245__ $$aOn the significance of the climate-dataset time resolution in characterising wind-driven rain and simultaneous wind pressure. Part II: directional analysis
000170250 260__ $$c2017
000170250 5060_ $$aAccess copy available to the general public$$fUnrestricted
000170250 5203_ $$aBoth semi-empirical methods and CFD simulations use real climate datasets as a basis for determining the building facade exposure to wind-driven rain and simultaneous wind pressure. The time resolution of these datasets and the number of variables considered (commonly rainfall intensity, wind speed and wind direction) determine the required calculation effort and the accuracy of the result. Omitting the wind direction, a former article (Part I of this research) has analysed the effect of this time resolution on two scalar exposure indices obtained by semi-empirical methods: driving rain index (aDRI) and driving-rain wind pressure (DRWP). However, the wind direction during precipitation events also causes significant exposure variations between possible facade orientations. Thus, it is also necessary to clarify the influence of the time resolution of the dataset, on the accuracy of the directional semi-empirical calculation of aDRI and DRWP. To meet this challenge, the article examines 10-min climate records collected between 2001 and 2016 at 6 Spanish locations, uses them to obtain hourly, daily, monthly and annual datasets, and analyses the accuracy of the directional exposure indices associated with each time resolution. The results show that a daily dataset would allow identifying the most exposed orientation with an error less than 45°. However, even the hourly datasets cause errors close to 10% in the exposure values identified on each facade orientation. Finally, adjustment relationships that allow estimating the maximum value of directional exposure from simple scalar indices are obtained.
000170250 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/BIA2012-31609$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/FC-15-GRUPIN14-004
000170250 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000170250 590__ $$a2.668$$b2017
000170250 591__ $$aSTATISTICS & PROBABILITY$$b9 / 123 = 0.073$$c2017$$dQ1$$eT1
000170250 591__ $$aENGINEERING, CIVIL$$b22 / 127 = 0.173$$c2017$$dQ1$$eT1
000170250 591__ $$aWATER RESOURCES$$b19 / 90 = 0.211$$c2017$$dQ1$$eT1
000170250 591__ $$aENGINEERING, ENVIRONMENTAL$$b22 / 50 = 0.44$$c2017$$dQ2$$eT2
000170250 591__ $$aENVIRONMENTAL SCIENCES$$b87 / 241 = 0.361$$c2017$$dQ2$$eT2
000170250 592__ $$a1.096$$b2017
000170250 593__ $$aEnvironmental Science (miscellaneous)$$c2017$$dQ1
000170250 593__ $$aEnvironmental Engineering$$c2017$$dQ1
000170250 593__ $$aWater Science and Technology$$c2017$$dQ1
000170250 593__ $$aSafety, Risk, Reliability and Quality$$c2017$$dQ1
000170250 593__ $$aEnvironmental Chemistry$$c2017$$dQ2
000170250 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000170250 700__ $$0(orcid)0000-0002-3776-9791$$aDomínguez-Hernández, J.$$uUniversidad de Zaragoza
000170250 700__ $$0(orcid)0000-0001-5137-2478$$aCano-Suñén, E.$$uUniversidad de Zaragoza
000170250 700__ $$aDel Coz-Díaz, J.J.
000170250 700__ $$aÁlvarez Rabanal, F.P.
000170250 7102_ $$15004$$2510$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cArea Ingeniería Construcción
000170250 773__ $$g32 (2017), 1799 – 1815$$pStoch. environ. res. risk assess.$$tSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT$$x1436-3240
000170250 8564_ $$s7573792$$uhttps://zaguan.unizar.es/record/170250/files/texto_completo.pdf$$yPostprint
000170250 8564_ $$s1909554$$uhttps://zaguan.unizar.es/record/170250/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000170250 909CO $$ooai:zaguan.unizar.es:170250$$particulos$$pdriver
000170250 951__ $$a2026-04-10-13:45:10
000170250 980__ $$aARTICLE