{"id":{"repo_id":"soton","oai_identifier":"oai:eprints.soton.ac.uk:160907"},"canonical_url":"https://search.dev.ndltd.org/etd/soton/oai:eprints.soton.ac.uk:160907","repository":{"repo_id":"soton","name":"University of Southampton","base_url":"https://eprints.soton.ac.uk/cgi/oai2"},"display":{"title":"Hydraulic modelling and flood inundation mapping in a bedrock-confined anabranching network: the Mekong River in the Siphandone Wetlands, Laos","abstract":"Anabranching fluvial networks recently have become the focus of attention from<br/>environmental specialists, especially in the hydraulic field. Anabranching networks can be<br/>found in different physical environments; however, the hydraulic and geomorphological<br/>natures of such river networks are still not well known leading to on-going discussions on the<br/>definition and nature of the networks. Even though, alluvial anabranching networks generally<br/>have common features like vegetated islands, low water surface slope and stable channel<br/>planform, bedrock-confined anabranching networks also have their own characteristics<br/>inherited from the geological and structural controls imposed on the single channels that<br/>compose the network complex.<br/><br/>This thesis focuses on the provision of a benchmark describing the bulk hydraulic<br/>characteristics of a large bedrock-confined, anabranching river network, located within<br/>southern Laos. The network can be separated into: (i) the upper river network constituted by<br/>two bifurcations and one confluence with an interpolated bathymetry based on soundings of<br/>cross-sections along the navigation channels; and, (ii) the downstream river network<br/>characterised by a complex anabranching network with five bifurcations and five confluences<br/>for which there is no bathymetric survey.<br/><br/>The river network as whole is a ‘composite’ – partly bedrock (especially the channel-bed)<br/>and partly alluvial-filled and as such it does not accord fully with any prior description or<br/>classification of anabranching channel networks (e.g. Huang and Nanson, 1996). To<br/>understand the hydraulic nature of the river network, the energy approach in a onedimensional<br/>(1D) steady-flow hydraulic model (HEC-RAS) was applied to the network.<br/>Significant challenges arose due to the lack of boundary conditions throughout the model,<br/>namely: (i) unknown splitting discharge ratios at each bifurcation; (ii) partly non-survey<br/>bathymetry; and, (iii) ungauged downstream boundary condition of one of the channel<br/>outlets. To determine the discharge entering each channel, the splitting discharge ratio at each<br/>bifurcation was defined originally by the ratio of the cross-sectional area of the first crosssection<br/>of each downstream channel and then adjusted based on the Flow Optimization<br/>function in HEC-RAS to minimize any rise or drop of the modelled water surface around a<br/>junction. For the channels with non-surveyed bathymetry, a SPOT satellite image was<br/>processed to construct a pseudo-bathymetry showing a range of elevations, including shallow<br/>and deep portions of channels, rather than detailed bed elevations as would be obtained from<br/>a measured bathymetry. To define the boundary condition of the ungauged channel outlet, the<br/>water surface elevation was interpolated and validated according to predefined assumptions<br/>(i.e. the water surface slope along the ungauged channel was interpolated according to the<br/>available DEM and cross-sectional width extracted from a SPOT image for low discharge<br/>conditions was assumed to be similar to the gauged channels for flooding discharges).<br/>In general, the study has helped to develop methods to model the complex river network with<br/>data constraints (i.e. the boundary conditions). The findings include: (i) the developed<br/>pseudo-bathymetry based on a SPOT image is useful to model a large river network using the<br/>energy approach in a 1D hydraulic model in which the cross-sectional area is important in<br/>modelling the bulk hydraulic parameters but the influence of the cross-sectional shape is<br/>subordinate; (ii) the in-channel hydraulic roughness coefficient at each cross-section may be<br/>significantly different from neighbouring values due to the variation in the local bedrock<br/>roughness and the roughness of intervening alluvial reaches; and, (iii) the hydraulic<br/>roughness of the riparian land cover along the floodplains does not contribute noticeably to<br/>the modelled stage along the river network nor to the planform extent of flooding for<br/>overbank flooding discharges. Rather, changes in land-cover, and hence the riparian<br/>roughness, are registered as small, but measureable, changes in the local velocity over the<br/>riparian floodplain and in the average in-channel velocity.<br/>Citations:<br/>Van, P.D.T., 2009. Hydraulic modelling and flood inundation mapping in a bedrockconfined<br/>anabranching network: The Mekong River in the Siphandone wetlands, Laos.<br/>Unpublished PhD thesis submitted to the Faculty of Engineering, Science and Mathematics,<br/>University of Southampton, England.","abstract_html":"Anabranching fluvial networks recently have become the focus of attention from&lt;br/&gt;environmental specialists, especially in the hydraulic field. Anabranching networks can be&lt;br/&gt;found in different physical environments; however, the hydraulic and geomorphological&lt;br/&gt;natures of such river networks are still not well known leading to on-going discussions on the&lt;br/&gt;definition and nature of the networks. Even though, alluvial anabranching networks generally&lt;br/&gt;have common features like vegetated islands, low water surface slope and stable channel&lt;br/&gt;planform, bedrock-confined anabranching networks also have their own characteristics&lt;br/&gt;inherited from the geological and structural controls imposed on the single channels that&lt;br/&gt;compose the network complex.&lt;br/&gt;&lt;br/&gt;This thesis focuses on the provision of a benchmark describing the bulk hydraulic&lt;br/&gt;characteristics of a large bedrock-confined, anabranching river network, located within&lt;br/&gt;southern Laos. The network can be separated into: (i) the upper river network constituted by&lt;br/&gt;two bifurcations and one confluence with an interpolated bathymetry based on soundings of&lt;br/&gt;cross-sections along the navigation channels; and, (ii) the downstream river network&lt;br/&gt;characterised by a complex anabranching network with five bifurcations and five confluences&lt;br/&gt;for which there is no bathymetric survey.&lt;br/&gt;&lt;br/&gt;The river network as whole is a ‘composite’ – partly bedrock (especially the channel-bed)&lt;br/&gt;and partly alluvial-filled and as such it does not accord fully with any prior description or&lt;br/&gt;classification of anabranching channel networks (e.g. Huang and Nanson, 1996). To&lt;br/&gt;understand the hydraulic nature of the river network, the energy approach in a onedimensional&lt;br/&gt;(1D) steady-flow hydraulic model (HEC-RAS) was applied to the network.&lt;br/&gt;Significant challenges arose due to the lack of boundary conditions throughout the model,&lt;br/&gt;namely: (i) unknown splitting discharge ratios at each bifurcation; (ii) partly non-survey&lt;br/&gt;bathymetry; and, (iii) ungauged downstream boundary condition of one of the channel&lt;br/&gt;outlets. To determine the discharge entering each channel, the splitting discharge ratio at each&lt;br/&gt;bifurcation was defined originally by the ratio of the cross-sectional area of the first crosssection&lt;br/&gt;of each downstream channel and then adjusted based on the Flow Optimization&lt;br/&gt;function in HEC-RAS to minimize any rise or drop of the modelled water surface around a&lt;br/&gt;junction. For the channels with non-surveyed bathymetry, a SPOT satellite image was&lt;br/&gt;processed to construct a pseudo-bathymetry showing a range of elevations, including shallow&lt;br/&gt;and deep portions of channels, rather than detailed bed elevations as would be obtained from&lt;br/&gt;a measured bathymetry. To define the boundary condition of the ungauged channel outlet, the&lt;br/&gt;water surface elevation was interpolated and validated according to predefined assumptions&lt;br/&gt;(i.e. the water surface slope along the ungauged channel was interpolated according to the&lt;br/&gt;available DEM and cross-sectional width extracted from a SPOT image for low discharge&lt;br/&gt;conditions was assumed to be similar to the gauged channels for flooding discharges).&lt;br/&gt;In general, the study has helped to develop methods to model the complex river network with&lt;br/&gt;data constraints (i.e. the boundary conditions). The findings include: (i) the developed&lt;br/&gt;pseudo-bathymetry based on a SPOT image is useful to model a large river network using the&lt;br/&gt;energy approach in a 1D hydraulic model in which the cross-sectional area is important in&lt;br/&gt;modelling the bulk hydraulic parameters but the influence of the cross-sectional shape is&lt;br/&gt;subordinate; (ii) the in-channel hydraulic roughness coefficient at each cross-section may be&lt;br/&gt;significantly different from neighbouring values due to the variation in the local bedrock&lt;br/&gt;roughness and the roughness of intervening alluvial reaches; and, (iii) the hydraulic&lt;br/&gt;roughness of the riparian land cover along the floodplains does not contribute noticeably to&lt;br/&gt;the modelled stage along the river network nor to the planform extent of flooding for&lt;br/&gt;overbank flooding discharges. Rather, changes in land-cover, and hence the riparian&lt;br/&gt;roughness, are registered as small, but measureable, changes in the local velocity over the&lt;br/&gt;riparian floodplain and in the average in-channel velocity.&lt;br/&gt;Citations:&lt;br/&gt;Van, P.D.T., 2009. Hydraulic modelling and flood inundation mapping in a bedrockconfined&lt;br/&gt;anabranching network: The Mekong River in the Siphandone wetlands, Laos.&lt;br/&gt;Unpublished PhD thesis submitted to the Faculty of Engineering, Science and Mathematics,&lt;br/&gt;University of Southampton, England.","abstract_has_math":false,"creators":["Van, Tri Pham Dang"],"institution":"University of Southampton","degree_name":"Ph.D.","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Carling, Paul","Atkinson, P.M."],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-01","date_published":"2010-01","updated_at":"2026-07-24T04:36:14Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Carling, Paul","Atkinson, P.M."]},{"key":"dc:creator","label":"Author","values":["Van, Tri Pham Dang"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2010-01"]},{"key":"dc:date.issued","label":"Date","values":["2010-01"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Geography (pre 2011 reorg)","School of Geography"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Southampton"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://eprints.soton.ac.uk/160907/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Ph.D."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://eprints.soton.ac.uk/160907/1/Tri_Van_-_PhD_thesis.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Anabranching fluvial networks recently have become the focus of attention from<br/>environmental specialists, especially in the hydraulic field. Anabranching networks can be<br/>found in different physical environments; however, the hydraulic and geomorphological<br/>natures of such river networks are still not well known leading to on-going discussions on the<br/>definition and nature of the networks. Even though, alluvial anabranching networks generally<br/>have common features like vegetated islands, low water surface slope and stable channel<br/>planform, bedrock-confined anabranching networks also have their own characteristics<br/>inherited from the geological and structural controls imposed on the single channels that<br/>compose the network complex.<br/><br/>This thesis focuses on the provision of a benchmark describing the bulk hydraulic<br/>characteristics of a large bedrock-confined, anabranching river network, located within<br/>southern Laos. The network can be separated into: (i) the upper river network constituted by<br/>two bifurcations and one confluence with an interpolated bathymetry based on soundings of<br/>cross-sections along the navigation channels; and, (ii) the downstream river network<br/>characterised by a complex anabranching network with five bifurcations and five confluences<br/>for which there is no bathymetric survey.<br/><br/>The river network as whole is a ‘composite’ – partly bedrock (especially the channel-bed)<br/>and partly alluvial-filled and as such it does not accord fully with any prior description or<br/>classification of anabranching channel networks (e.g. Huang and Nanson, 1996). To<br/>understand the hydraulic nature of the river network, the energy approach in a onedimensional<br/>(1D) steady-flow hydraulic model (HEC-RAS) was applied to the network.<br/>Significant challenges arose due to the lack of boundary conditions throughout the model,<br/>namely: (i) unknown splitting discharge ratios at each bifurcation; (ii) partly non-survey<br/>bathymetry; and, (iii) ungauged downstream boundary condition of one of the channel<br/>outlets. To determine the discharge entering each channel, the splitting discharge ratio at each<br/>bifurcation was defined originally by the ratio of the cross-sectional area of the first crosssection<br/>of each downstream channel and then adjusted based on the Flow Optimization<br/>function in HEC-RAS to minimize any rise or drop of the modelled water surface around a<br/>junction. For the channels with non-surveyed bathymetry, a SPOT satellite image was<br/>processed to construct a pseudo-bathymetry showing a range of elevations, including shallow<br/>and deep portions of channels, rather than detailed bed elevations as would be obtained from<br/>a measured bathymetry. To define the boundary condition of the ungauged channel outlet, the<br/>water surface elevation was interpolated and validated according to predefined assumptions<br/>(i.e. the water surface slope along the ungauged channel was interpolated according to the<br/>available DEM and cross-sectional width extracted from a SPOT image for low discharge<br/>conditions was assumed to be similar to the gauged channels for flooding discharges).<br/>In general, the study has helped to develop methods to model the complex river network with<br/>data constraints (i.e. the boundary conditions). The findings include: (i) the developed<br/>pseudo-bathymetry based on a SPOT image is useful to model a large river network using the<br/>energy approach in a 1D hydraulic model in which the cross-sectional area is important in<br/>modelling the bulk hydraulic parameters but the influence of the cross-sectional shape is<br/>subordinate; (ii) the in-channel hydraulic roughness coefficient at each cross-section may be<br/>significantly different from neighbouring values due to the variation in the local bedrock<br/>roughness and the roughness of intervening alluvial reaches; and, (iii) the hydraulic<br/>roughness of the riparian land cover along the floodplains does not contribute noticeably to<br/>the modelled stage along the river network nor to the planform extent of flooding for<br/>overbank flooding discharges. Rather, changes in land-cover, and hence the riparian<br/>roughness, are registered as small, but measureable, changes in the local velocity over the<br/>riparian floodplain and in the average in-channel velocity.<br/>Citations:<br/>Van, P.D.T., 2009. Hydraulic modelling and flood inundation mapping in a bedrockconfined<br/>anabranching network: The Mekong River in the Siphandone wetlands, Laos.<br/>Unpublished PhD thesis submitted to the Faculty of Engineering, Science and Mathematics,<br/>University of Southampton, England."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Hydraulic modelling and flood inundation mapping in a bedrock-confined anabranching network: the Mekong River in the Siphandone Wetlands, Laos"]}]}],"canonical_facts":{"dc:contributor.advisor":["Carling, Paul","Atkinson, P.M."],"dc:creator":["Van, Tri Pham Dang"],"dc:date":["2010-01"],"dc:date.issued":["2010-01"],"dc:description.abstract":["Anabranching fluvial networks recently have become the focus of attention from<br/>environmental specialists, especially in the hydraulic field. Anabranching networks can be<br/>found in different physical environments; however, the hydraulic and geomorphological<br/>natures of such river networks are still not well known leading to on-going discussions on the<br/>definition and nature of the networks. Even though, alluvial anabranching networks generally<br/>have common features like vegetated islands, low water surface slope and stable channel<br/>planform, bedrock-confined anabranching networks also have their own characteristics<br/>inherited from the geological and structural controls imposed on the single channels that<br/>compose the network complex.<br/><br/>This thesis focuses on the provision of a benchmark describing the bulk hydraulic<br/>characteristics of a large bedrock-confined, anabranching river network, located within<br/>southern Laos. The network can be separated into: (i) the upper river network constituted by<br/>two bifurcations and one confluence with an interpolated bathymetry based on soundings of<br/>cross-sections along the navigation channels; and, (ii) the downstream river network<br/>characterised by a complex anabranching network with five bifurcations and five confluences<br/>for which there is no bathymetric survey.<br/><br/>The river network as whole is a ‘composite’ – partly bedrock (especially the channel-bed)<br/>and partly alluvial-filled and as such it does not accord fully with any prior description or<br/>classification of anabranching channel networks (e.g. Huang and Nanson, 1996). To<br/>understand the hydraulic nature of the river network, the energy approach in a onedimensional<br/>(1D) steady-flow hydraulic model (HEC-RAS) was applied to the network.<br/>Significant challenges arose due to the lack of boundary conditions throughout the model,<br/>namely: (i) unknown splitting discharge ratios at each bifurcation; (ii) partly non-survey<br/>bathymetry; and, (iii) ungauged downstream boundary condition of one of the channel<br/>outlets. To determine the discharge entering each channel, the splitting discharge ratio at each<br/>bifurcation was defined originally by the ratio of the cross-sectional area of the first crosssection<br/>of each downstream channel and then adjusted based on the Flow Optimization<br/>function in HEC-RAS to minimize any rise or drop of the modelled water surface around a<br/>junction. For the channels with non-surveyed bathymetry, a SPOT satellite image was<br/>processed to construct a pseudo-bathymetry showing a range of elevations, including shallow<br/>and deep portions of channels, rather than detailed bed elevations as would be obtained from<br/>a measured bathymetry. To define the boundary condition of the ungauged channel outlet, the<br/>water surface elevation was interpolated and validated according to predefined assumptions<br/>(i.e. the water surface slope along the ungauged channel was interpolated according to the<br/>available DEM and cross-sectional width extracted from a SPOT image for low discharge<br/>conditions was assumed to be similar to the gauged channels for flooding discharges).<br/>In general, the study has helped to develop methods to model the complex river network with<br/>data constraints (i.e. the boundary conditions). The findings include: (i) the developed<br/>pseudo-bathymetry based on a SPOT image is useful to model a large river network using the<br/>energy approach in a 1D hydraulic model in which the cross-sectional area is important in<br/>modelling the bulk hydraulic parameters but the influence of the cross-sectional shape is<br/>subordinate; (ii) the in-channel hydraulic roughness coefficient at each cross-section may be<br/>significantly different from neighbouring values due to the variation in the local bedrock<br/>roughness and the roughness of intervening alluvial reaches; and, (iii) the hydraulic<br/>roughness of the riparian land cover along the floodplains does not contribute noticeably to<br/>the modelled stage along the river network nor to the planform extent of flooding for<br/>overbank flooding discharges. Rather, changes in land-cover, and hence the riparian<br/>roughness, are registered as small, but measureable, changes in the local velocity over the<br/>riparian floodplain and in the average in-channel velocity.<br/>Citations:<br/>Van, P.D.T., 2009. Hydraulic modelling and flood inundation mapping in a bedrockconfined<br/>anabranching network: The Mekong River in the Siphandone wetlands, Laos.<br/>Unpublished PhD thesis submitted to the Faculty of Engineering, Science and Mathematics,<br/>University of Southampton, England."],"dc:format":["text"],"dc:identifier.uri":["https://eprints.soton.ac.uk/160907/1/Tri_Van_-_PhD_thesis.pdf"],"dc:publisher.department":["Geography (pre 2011 reorg)","School of Geography"],"dc:publisher.institution":["University of Southampton"],"dc:relation.isreferencedby":["https://eprints.soton.ac.uk/160907/"],"dc:title":["Hydraulic modelling and flood inundation mapping in a bedrock-confined anabranching network: the Mekong River in the Siphandone Wetlands, Laos"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["Ph.D."]},"updated_at":"2026-07-24T04:36:14Z"}