S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Urban Flood Visualization Framework Based on Spatial Grid [PDF]

Chuyuan Wei, Changfeng Jing, Shouqing Wang, and Delong Li

(Received June 9, 2021; Accepted August 5, 2021)

Keywords: urban flood control, grid urban management, visualization model, spatial clustering, heat map

To overcome the low accuracy of visual perception caused by the small sample size and spatial heterogeneity of urban flood control data resulting from the use of rainfall gauge sensors, an urban flood visual framework based on a spatial grid was proposed. The framework is an aggregation framework composed of multiple submodels and algorithms. A three-level urban flood control grid based on the territorial management business model was designed for a local administrative bureau. A grid-constrained point data spatial clustering algorithm based on this grid division was proposed to solve the statistical bias problem. An algorithm that increases the number of samples was developed to support the adaptive covering heat map generation. The new algorithm can provide dense sensing information with only a small number of sensors. This framework was tested by an urban flood control business. The results demonstrate that the visual models and algorithms included in this framework eliminate the effects of spatial heterogeneity, solve the statistical bias problem, and improve the visual perception accuracy. The visualization framework is expected to be very helpful for the emergency response and decision making in urban flood control, and can also be applied to other fields such as water conservation and urban management.

Corresponding author: Changfeng Jing

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