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

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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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  -