Author(s): Pan Yang, Tze Ling Ng
Linked Author(s): Pan Yang
Keywords: Crowd-sourcing, rainfall field merging, urban stormwater modeling, rain gauge, radar
Abstract: In this study, rain gauge, radar and crowd-sourced measurements of rainfall intensity are merged to yield a best estimate of the true rainfall field for urban stormwater modeling purposes. Compared with past studies that were limited to merging just rain gauge and radar data, this study incorporates an additional source of data, viz. crowd-sourced measurements which we assume are obtainable from smartphones, surveillance cameras, and even moving cars of common citizens. To merge the three sources, a dynamic weighting method is used. From a theoretical but realistic case study, it is found the addition of crowd-sourced measurements produces more accurate estimates of stormwater flow
Year: 2017