{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:07:51Z","timestamp":1758636471280,"version":"3.41.2"},"reference-count":27,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2017,1,9]],"date-time":"2017-01-09T00:00:00Z","timestamp":1483920000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MEQ"],"published-print":{"date-parts":[[2017,1,9]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Rainfall simulators are used on experimental hydrology, in areas such as, e.g., urban drainage and soil erosion, with important timesaving when compared to real scale hydrological monitoring. The purpose of this paper is to contribute to increase the quality of rainfall simulation, namely, for its use with scaled physical models.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Two pressurized rainfall simulators are considered. M1 uses three HH-W 1\/4 FullJet nozzles under an operating pressure of 166.76\u2009kPa and was tested over a 4.00\u2009m length by 2.00\u2009m width V-shaped surface. M2 was prepared to produce artificial rainfall over an area of 10.00\u2009m length by 10.00\u2009m width. The spatial distribution of rainfall produced from a single nozzle was characterized in order to theoretically find the best positioning for nozzles to cover the full 100\u2009m<jats:sup>2<\/jats:sup> area with the best possible rainfall uniformity.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Experiments with M1 led to an average rainfall intensity of 76.77-82.25\u2009mm\u2009h<jats:sup>\u22121<\/jats:sup> with a 24.88 per cent variation coefficient and a Christiansen Uniformity Coefficient (CUC) of 78.86 per cent. The best result with M2 was an average rainfall intensity of 75.12-76.83\u2009mm\u2009h<jats:sup>\u22121<\/jats:sup> with a 21.23 per cent variation coefficient and a CUC of 83.05 per cent.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>This study contributes to increase the quality of artificial rainfall produced by pressurized rainfall simulators.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>M2 is the largest rainfall simulator known by the authors worldwide. Its use on rainfall-runoff studies (e.g. urban areas, erosion, pollutant transport) will allow for a better understanding of complex surface hydrology processes.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/meq-07-2015-0140","type":"journal-article","created":{"date-parts":[[2016,12,30]],"date-time":"2016-12-30T03:15:25Z","timestamp":1483067725000},"page":"17-31","source":"Crossref","is-referenced-by-count":3,"title":["Enhancing the spatial rainfall uniformity of pressurized nozzle simulators"],"prefix":"10.1108","volume":"28","author":[{"given":"Alexandre","family":"Silveira","sequence":"first","affiliation":[]},{"given":"Jorge M.G.P.","family":"Isidoro","sequence":"additional","affiliation":[]},{"given":"F\u00e1bio P.","family":"de Deus","sequence":"additional","affiliation":[]},{"given":"Simone Siqueira","family":"dos Reis","sequence":"additional","affiliation":[]},{"given":"Ant\u00f4nio Marciano da","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Fl\u00e1vio 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