TY - JOUR
T1 - The simulation of surface flow dynamics using a flow-path network model
AU - Chen, Yumin
AU - Zhou, Qiming
AU - Li, Sheng
AU - Meng, Fanrui
AU - Bi, Xiaomei
AU - Wilson, John P.
AU - Xing, Zisheng
AU - Qi, Junyu
AU - Li, Qiang
AU - Zhang, Chengfu
N1 - Funding Information:
The research was supported by grants from National High Technology Research and Development Program of China (Project No. 2013AA122302), National Nature Science Foundation of China (Project No. 41171347), Hong Kong Research Grants Council General Research Fund Grant (HKBU 203913), Hong Kong Baptist University Faculty Research Grant (FRG1/12-13/070) and Agriculture and Agri-Food Canada (Project 1145).
Publisher copyright:
© 2014 Taylor & Francis
PY - 2014/11/2
Y1 - 2014/11/2
N2 - This paper proposes a flow-path network (FPN) model to simulate complex surface flow based on a drainage-constrained triangulated irregular network (TIN). The TIN was constructed using critical points and drainage lines extracted from a digital terrain surface. Runoff generated on the surface was simplified as ‘water volumes’ at constrained random points that were then used as the starting points of flow paths (i.e. flow source points). The flow-path for each ‘water volume’ was constructed by tracing the direction of flow from the flow source point over the TIN surface to the stream system and then to the outlet of the watershed. The FPN was represented by a set of topologically defined one-dimensional line segments and nodes. Hydrologic variables, such as flow velocity and volume, were computed and integrated into the FPN to support dynamic surface flow simulation. A hypothetical rainfall event simulation on a hilly landscape showed that the FPN model was able to simulate the dynamics of surface flow over time. A real-world catchment test demonstrated that flow rates predicted by the FPN model agreed well with field observations. Overall, the FPN model proposed in this study provides a vector-based modeling framework for simulating surface flow dynamics. Further studies are required to enhance the simulations of individual hydrologic processes such as flow generation and overland and channel flows, which were much simplified in this study.
AB - This paper proposes a flow-path network (FPN) model to simulate complex surface flow based on a drainage-constrained triangulated irregular network (TIN). The TIN was constructed using critical points and drainage lines extracted from a digital terrain surface. Runoff generated on the surface was simplified as ‘water volumes’ at constrained random points that were then used as the starting points of flow paths (i.e. flow source points). The flow-path for each ‘water volume’ was constructed by tracing the direction of flow from the flow source point over the TIN surface to the stream system and then to the outlet of the watershed. The FPN was represented by a set of topologically defined one-dimensional line segments and nodes. Hydrologic variables, such as flow velocity and volume, were computed and integrated into the FPN to support dynamic surface flow simulation. A hypothetical rainfall event simulation on a hilly landscape showed that the FPN model was able to simulate the dynamics of surface flow over time. A real-world catchment test demonstrated that flow rates predicted by the FPN model agreed well with field observations. Overall, the FPN model proposed in this study provides a vector-based modeling framework for simulating surface flow dynamics. Further studies are required to enhance the simulations of individual hydrologic processes such as flow generation and overland and channel flows, which were much simplified in this study.
KW - digital terrain analysis
KW - flow-path network model
KW - surface flow
KW - triangulated irregular networks
UR - https://www.ingentaconnect.com/content/tandf/tgis/2014/00000028/00000011/art00006
UR - http://www.scopus.com/inward/record.url?scp=84912573464&partnerID=8YFLogxK
U2 - 10.1080/13658816.2014.917312
DO - 10.1080/13658816.2014.917312
M3 - Journal article
AN - SCOPUS:84912573464
SN - 1365-8816
VL - 28
SP - 2242
EP - 2260
JO - International Journal of Geographical Information Science
JF - International Journal of Geographical Information Science
IS - 11
ER -