TY - JOUR
T1 - A HIGH-PERFORMANCE METHOD for SIMULATING SURFACE RAINFALL-RUNOFF DYNAMICS USING PARTICLE SYSTEM
AU - Zhang, Fangli
AU - ZHOU, Qiming
AU - Li, Qingquan
AU - Wu, Guofeng
AU - Liu, Jun
N1 - Funding Information:
This work is jointly supported by the National Natural Science Foundation of China (No. 41471340 and No. 41301403), the Research Grants Council (RGC) of Hong Kong General Research Fund (GRF) (Project No. 203913), the Chongqing Basic and Advanced Research General Project (No. cstc2013jcyjA40010), and the Hong Kong Baptist University Faculty Research Grant (No. FRG2/14-15/073).
PY - 2016/6/2
Y1 - 2016/6/2
N2 - The simulation of rainfall-runoff process is essential for disaster emergency and sustainable development. One common disadvantage of the existing conceptual hydrological models is that they are highly dependent upon specific spatial-temporal contexts. Meanwhile, due to the inter-dependence of adjacent flow paths, it is still difficult for the RS or GIS supported distributed hydrological models to achieve high-performance application in real world applications. As an attempt to improve the performance efficiencies of those models, this study presents a high-performance rainfall-runoff simulating framework based on the flow path network and a separate particle system. The vector-based flow path lines are topologically linked to constrain the movements of independent rain drop particles. A separate particle system, representing surface runoff, is involved to model the precipitation process and simulate surface flow dynamics. The trajectory of each particle is constrained by the flow path network and can be tracked by concurrent processors in a parallel cluster system. The result of speedup experiment shows that the proposed framework can significantly improve the simulating performance just by adding independent processors. By separating the catchment elements and the accumulated water, this study provides an extensible solution for improving the existing distributed hydrological models. Further, a parallel modeling and simulating platform needs to be developed and validate to be applied in monitoring real world hydrologic processes.
AB - The simulation of rainfall-runoff process is essential for disaster emergency and sustainable development. One common disadvantage of the existing conceptual hydrological models is that they are highly dependent upon specific spatial-temporal contexts. Meanwhile, due to the inter-dependence of adjacent flow paths, it is still difficult for the RS or GIS supported distributed hydrological models to achieve high-performance application in real world applications. As an attempt to improve the performance efficiencies of those models, this study presents a high-performance rainfall-runoff simulating framework based on the flow path network and a separate particle system. The vector-based flow path lines are topologically linked to constrain the movements of independent rain drop particles. A separate particle system, representing surface runoff, is involved to model the precipitation process and simulate surface flow dynamics. The trajectory of each particle is constrained by the flow path network and can be tracked by concurrent processors in a parallel cluster system. The result of speedup experiment shows that the proposed framework can significantly improve the simulating performance just by adding independent processors. By separating the catchment elements and the accumulated water, this study provides an extensible solution for improving the existing distributed hydrological models. Further, a parallel modeling and simulating platform needs to be developed and validate to be applied in monitoring real world hydrologic processes.
KW - Flow Path Network
KW - Hydrologic Model
KW - Parallel Computing
KW - Particle System
KW - Rainfall Runoff Process
UR - http://www.scopus.com/inward/record.url?scp=85048923491&partnerID=8YFLogxK
U2 - 10.5194/isprs-annals-III-2-109-2016
DO - 10.5194/isprs-annals-III-2-109-2016
M3 - Conference article
AN - SCOPUS:85048923491
SN - 2194-9042
VL - 3
SP - 109
EP - 112
JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
T2 - 23rd International Society for Photogrammetry and Remote Sensing Congress, ISPRS 2016
Y2 - 12 July 2016 through 19 July 2016
ER -