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Regional scale landscape evolution: ...

Ran, Qihua.

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Regional scale landscape evolution: Physics-based simulation of hydrologically-driven surface erosion.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Regional scale landscape evolution: Physics-based simulation of hydrologically-driven surface erosion./
作者:	Ran, Qihua.
面頁冊數:	169 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2451.
Contained By:	Dissertation Abstracts International67-05B.
標題:	Hydrology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3219359
ISBN:	9780542707933

Regional scale landscape evolution: Physics-based simulation of hydrologically-driven surface erosion.
Ran, Qihua.

Regional scale landscape evolution: Physics-based simulation of hydrologically-driven surface erosion. - 169 p.

Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2451.

Thesis (Ph.D.)--Stanford University, 2006.

The effort reported in this dissertation was motivated by the fact that, to the best of my knowledge, no comprehensive physics-based hydrologic-response model has been employed to investigate landscape evolution at a scale larger than a single catchment. Neglecting surface/near-surface hydrologic-response and sediment-transport processes at large scales hinders our understanding of landscape evolution. The Integrated Hydrology Model (InHM) was used in this study to simulate long-term hydrologic response at the regional scale. A sediment transport algorithm was developed and added to InHM for this study to simulate long-term erosion and deposition at the regional scale. The Hawaiian Island of Kaho'olawe was selected as the application site for this study. The major objective of this study was to demonstrate that a comprehensive physics-based hydrologic-response model could be used to investigate hydrologically-driven surface erosion at the regional scale.

ISBN: 9780542707933Subjects--Topical Terms:

545716
Hydrology.

Regional scale landscape evolution: Physics-based simulation of hydrologically-driven surface erosion.
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502 $a Thesis (Ph.D.)--Stanford University, 2006.
520 $a The effort reported in this dissertation was motivated by the fact that, to the best of my knowledge, no comprehensive physics-based hydrologic-response model has been employed to investigate landscape evolution at a scale larger than a single catchment. Neglecting surface/near-surface hydrologic-response and sediment-transport processes at large scales hinders our understanding of landscape evolution. The Integrated Hydrology Model (InHM) was used in this study to simulate long-term hydrologic response at the regional scale. A sediment transport algorithm was developed and added to InHM for this study to simulate long-term erosion and deposition at the regional scale. The Hawaiian Island of Kaho'olawe was selected as the application site for this study. The major objective of this study was to demonstrate that a comprehensive physics-based hydrologic-response model could be used to investigate hydrologically-driven surface erosion at the regional scale.
520 $a Long-term (100 years) rainfall data were generated to drive the hydrologic-response and sediment-transport simulations for Kaho'olawe. It was not possible to simulate the entire island as a single large boundary-value problem (BVP) due to available computer resources. Therefore, the island was divided into 84 catchments and the simulations were conducted one catchment at a time. For this study, land-use management impacts were represented by the variability in the near-surface soil-hydraulic property values (e.g., saturated hydraulic conductivity).
520 $a The regional-scale long-term physics-based hydrologic-response and sediment-transport simulations conducted in this study were successful. The simulation results show that the three primary conditions affecting the generation of runoff and erosion for Kaho'olawe were (i) soil-hydraulic parameters, (ii) surface slope, and (iii) vegetation. Land-use management affects runoff and erosion by changing the surface condition and the near-surface soil properties. Sensitivity analysis illustrates that the rainfall timestep, the horizontal discretization, the near-surface soil-hydraulic parameters, and evapotranspiration each have a significant impact on simulated runoff and erosion. An extension of this study would be to formulate InHM for a Unix/Linux platform so that large-scale problems, with small discretization, could be considered (e.g., simulate Kaho'olawe as a single large detailed BVP).
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