Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)

K-means cluster's classification of grade of regional strong precipitation events

Authors
Tiangui Xiao, Tianyao Shen, Fengrong Jing, Chao Wang, Ding Chen, Yaze Wu, Yao Huang
Corresponding Author
Tiangui Xiao
Available Online November 2017.
DOI
10.2991/wrarm-17.2017.47How to use a DOI?
Keywords
Regional; Strong Precipitation; K-means; Cluster
Abstract

Based on the historical precipitation data of the stations in Sichuan Province from 1961 to 2013, 636 heavy precipitation processes were summarized by statistical analysis. First, the daily average of heavy rainfall was selected. Precipitation, rainfall intensity, coverage and duration were used as the index factors of grade division. Secondly, by analyzing the interaction between the index factors, the K-means method was used to analyze the similarity between the distances The heavy precipitation process is divided into five grades by 636 heavy precipitation. Finally, based on the clustering results, a hierarchical model of the operationalized heavy rainfall event in Sichuan Province is established for the risk assessment of the severe precipitation disaster and the forecasting and forecasting of the disaster.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/wrarm-17.2017.47
ISSN
1951-6851
DOI
10.2991/wrarm-17.2017.47How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tiangui Xiao
AU  - Tianyao Shen
AU  - Fengrong Jing
AU  - Chao Wang
AU  - Ding Chen
AU  - Yaze Wu
AU  - Yao Huang
PY  - 2017/11
DA  - 2017/11
TI  - K-means cluster's classification of grade of regional strong precipitation events
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 268
EP  - 274
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.47
DO  - 10.2991/wrarm-17.2017.47
ID  - Xiao2017/11
ER  -