{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T16:38:15Z","timestamp":1776184695628,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T00:00:00Z","timestamp":1631145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In hydraulic engineering, stilling basin design is traditionally carried out using physical models, conducting visual flow observations as well as point-source measurements of pressure, flow depth, and velocity at locations of design relevance. Point measurements often fail to capture the strongly varying three-dimensionality of the flows within the stilling basin that are important for the best possible design of the structure. This study introduced fixed scanning 2D LIDAR technology for laboratory-scale physical hydraulic modelling of stilling basins. The free-surface motions were successfully captured along both longitudinal and transverse directions, providing a detailed free-surface map. LIDAR-derived free-surface elevations were compared with typical point-source measurements using air\u2013water conductivity probes, showing that the elevations measured with LIDAR consistently corresponded to locations of strongest air\u2013water flow interactions at local void fractions of approximately 50%. The comparison of LIDAR-derived free-surface elevations with static and dynamic pressure sensors confirmed differences between the two measurement devices in the most energetic parts of the jump roller. The present study demonstrates that LIDAR technology can play an important role in physical hydraulic modelling, enabling design improvement through detailed free-surface characterization of complex air\u2013water flow motions beyond the current practice of point measurements and visual flow observations.<\/jats:p>","DOI":"10.3390\/rs13183599","type":"journal-article","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T21:36:58Z","timestamp":1631223418000},"page":"3599","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["LIDAR Scanning as an Advanced Technology in Physical Hydraulic Modelling: The Stilling Basin Example"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7387-8004","authenticated-orcid":false,"given":"Rui","family":"Li","sequence":"first","affiliation":[{"name":"Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, Manly Vale, Sydney, NSW 2093, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0082-8444","authenticated-orcid":false,"given":"Kristen D.","family":"Splinter","sequence":"additional","affiliation":[{"name":"Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, Manly Vale, Sydney, NSW 2093, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1079-6658","authenticated-orcid":false,"given":"Stefan","family":"Felder","sequence":"additional","affiliation":[{"name":"Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, Manly Vale, Sydney, NSW 2093, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Hager, W.H. 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