Journal article 430 views
Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
Computational Geosciences, Volume: 28, Issue: 6, Pages: 1331 - 1348
Swansea University Author:
Yunqing Xuan
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/s10596-024-10321-x
Abstract
Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
| Published in: | Computational Geosciences |
|---|---|
| ISSN: | 1420-0597 1573-1499 |
| Published: |
Springer Science and Business Media LLC
2024
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67550 |
| first_indexed |
2024-09-04T08:49:29Z |
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| last_indexed |
2025-01-17T20:41:16Z |
| id |
cronfa67550 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2025-01-17T14:29:47.4280963</datestamp><bib-version>v2</bib-version><id>67550</id><entry>2024-09-04</entry><title>Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches</title><swanseaauthors><author><sid>3ece84458da360ff84fa95aa1c0c912b</sid><ORCID>0000-0003-2736-8625</ORCID><firstname>Yunqing</firstname><surname>Xuan</surname><name>Yunqing Xuan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-09-04</date><deptcode>ACEM</deptcode><abstract/><type>Journal Article</type><journal>Computational Geosciences</journal><volume>28</volume><journalNumber>6</journalNumber><paginationStart>1331</paginationStart><paginationEnd>1348</paginationEnd><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1420-0597</issnPrint><issnElectronic>1573-1499</issnElectronic><keywords>Rainfall-runoff models; Hydrologic modeling; Distributed hydrologic modeling; Unit hydrograph; Surface runoff; Digital elevation model</keywords><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-12-01</publishedDate><doi>10.1007/s10596-024-10321-x</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>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.</funders><projectreference/><lastEdited>2025-01-17T14:29:47.4280963</lastEdited><Created>2024-09-04T09:30:14.8554771</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering</level></path><authors><author><firstname>Dário Macedo</firstname><surname>Lima</surname><orcid>0000-0002-3353-4848</orcid><order>1</order></author><author><firstname>Adriano Rolim da</firstname><surname>Paz</surname><orcid>0000-0003-0243-7006</orcid><order>2</order></author><author><firstname>Yunqing</firstname><surname>Xuan</surname><orcid>0000-0003-2736-8625</orcid><order>3</order></author><author><firstname>Daniel Gustavo Allasia</firstname><surname>Piccilli</surname><orcid>0000-0003-4519-8404</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807> |
| spelling |
2025-01-17T14:29:47.4280963 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 28 6 1331 1348 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 1 12 2024 2024-12-01 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. 2025-01-17T14:29:47.4280963 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 |
28 |
| container_issue |
6 |
| container_start_page |
1331 |
| 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 |
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|
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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 |
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0 |
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0 |
| published_date |
2024-12-01T05:23:08Z |
| _version_ |
1851097548350029824 |
| score |
11.444314 |

