Intra-annual sediment dynamic assessment in the Wei River Basin, China, using the AIC functional-structural connectivity index

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría Civiles_ES
UDC.grupoInvXestión Sostible dos Recursos Hídricos e do Chan (AQUATERRA)es_ES
UDC.journalTitleEcological Indicatorses_ES
UDC.startPage109775es_ES
UDC.volume146es_ES
dc.contributor.authorWu, Zhenni
dc.contributor.authorBaartman, Jantiene
dc.contributor.authorNunes, Joao Pedro
dc.contributor.authorLópez-Vicente, Manuel
dc.date.accessioned2023-03-22T17:23:06Z
dc.date.available2023-03-22T17:23:06Z
dc.date.issued2023
dc.description.abstract[Abstract:] Hydrological and sediment dynamics have changed considerably on the Chinese Loess Plateau during the last six decades due to large scale land use changes and numerous water regulation actions. Understanding the mechanism of sediment transport change and its effects is of great importance to food and environmental security. Numerical approaches are useful to map and assess spatio-temporal patterns in sediment dynamics. This study evaluates monthly and annual sediment connectivity in the Wei River Basin (134,800 km2) at the basin and sub-basin scales using the aggregated index of sediment connectivity (AIC). For the first time, this index is applied on this relatively large regional scale. The two objectives were to (1) evaluate the performance of the AIC at the regional scale, addressing substantial differences among areas, and (2) analyze how each AIC sub-factor co-determines the monthly sediment and connectivity patterns. Results show that AIC has strong or moderate positive correlation with sediment yield from 15 out of 23 stations in the Wei and Jing sub-basin. The Jing sub-basin has the highest sediment connectivity due to degraded vegetation, while the Beiluo sub-basin has the lowest sediment connectivity on average due to better ecological restoration. Within the year, sediment connectivity is highest in April and lowest in January, due to the rainfall regime and intra-annual land cover variations. Among the AIC factors, the rainfall factor has the highest effect on sediment connectivity, implying that functional connectivity (graded by rainfall and soil cover) determines sediment dynamics more than structural connectivity (mainly determined by topography and soil permeability). This study provides one of the first large-scale estimates of spatial and temporal sediment connectivity from hillslopes to river stream and including large reservoirs, which can be further employed to implement regional ecological construction works and environmental catchment management.es_ES
dc.description.sponsorshipChina Scholarship Council; 201906300050es_ES
dc.identifier.citationWu, Z., Baartman, J. E., Nunes, J. P., López-Vicente, M. (2023). Intra-annual sediment dynamic assessment in the Wei River Basin, China, using the AIC functional-structural connectivity index. Ecological Indicators, 146, 109775. https://doi.org/10.1016/j.ecolind.2022.109775es_ES
dc.identifier.doi10.1016/j.ecolind.2022.109775
dc.identifier.urihttp://hdl.handle.net/2183/32746
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.urihttps://doi.org/10.1016/j.ecolind.2022.109775es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSediment connectivityes_ES
dc.subjectAggregated index of connectivityes_ES
dc.subjectStructural and functionales_ES
dc.subjectSoil erosiones_ES
dc.subjectLoess Plateaues_ES
dc.titleIntra-annual sediment dynamic assessment in the Wei River Basin, China, using the AIC functional-structural connectivity indexes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationb1c9753d-3f60-4025-8700-53c4aa750e92
relation.isAuthorOfPublication.latestForDiscoveryb1c9753d-3f60-4025-8700-53c4aa750e92

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
LopezVicente-M_2023_EI_146-109775.pdf
Size:
8.48 MB
Format:
Adobe Portable Document Format
Description: