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Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches

Dário Macedo Lima Orcid Logo, Adriano Rolim da Paz Orcid Logo, Yunqing Xuan Orcid Logo, Daniel Gustavo Allasia Piccilli Orcid Logo

Computational Geosciences

Swansea University Author: Yunqing Xuan Orcid Logo

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DOI (Published version): 10.1007/s10596-024-10321-x

Published in: Computational Geosciences
ISSN: 1420-0597 1573-1499
Published: Springer Science and Business Media LLC 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67550
first_indexed 2024-09-04T08:49:29Z
last_indexed 2024-11-25T14:20:24Z
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recordtype SURis
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spelling 2024-11-01T14:09:36.8586660 v2 67550 2024-09-04 Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2024-09-04 ACEM Journal Article Computational Geosciences 0 Springer Science and Business Media LLC 1420-0597 1573-1499 Rainfall-runoff models; Hydrologic modeling; Distributed hydrologic modeling; Unit hydrograph; Surface runoff; Digital elevation model 3 9 2024 2024-09-03 10.1007/s10596-024-10321-x COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University This research was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico – Brazil (CNPq) through Chamada Universal – MCTI/CNPq Nº 01/2016 (420936/2016-5) and research productivity grants (309486/2019-0 and 311700/2018-7). This work was also supported by a scholarship from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES) – Finance Code 001. The authors extend their gratitude to the UK Environment Agency, Ordnance Survey, and National Soil Resources Institute for providing the data necessary for this study. 2024-11-01T14:09:36.8586660 2024-09-04T09:30:14.8554771 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Dário Macedo Lima 0000-0002-3353-4848 1 Adriano Rolim da Paz 0000-0003-0243-7006 2 Yunqing Xuan 0000-0003-2736-8625 3 Daniel Gustavo Allasia Piccilli 0000-0003-4519-8404 4
title Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
spellingShingle Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
Yunqing Xuan
title_short Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
title_full Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
title_fullStr Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
title_full_unstemmed Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
title_sort Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
author_id_str_mv 3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv 3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Yunqing Xuan
author2 Dário Macedo Lima
Adriano Rolim da Paz
Yunqing Xuan
Daniel Gustavo Allasia Piccilli
format Journal article
container_title Computational Geosciences
container_volume 0
publishDate 2024
institution Swansea University
issn 1420-0597
1573-1499
doi_str_mv 10.1007/s10596-024-10321-x
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 0
active_str 0
published_date 2024-09-03T20:34:04Z
_version_ 1821348456551153664
score 11.04748

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