Application of Entropy Weight Theory in Evaluation of Rainstorm Risk

DOI

10.2991/ammsa-17.2017.64How to use a DOI?

Keywords

rain days; rainfall intensity; rainstorm risk

Abstract

In order to study the effect of heavy rain on the growth of tobacco in Fujian Province tobacco planting area, it used the entropy weight theory that it computers the danger index of rainstorm by the torrential rain days and rainfall intensity as the evaluation index, and under the support of GIS technology storm disaster spatial distribution characteristics were analyzed. The results showed that: The rainstorm risk was mainly concentrated in the northwest mountains and southern minority region, mainly distributed in west of Sanming and the northern of Nanping. This study can provide data reference for agricultural disaster reduction.

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  - Zhiguo Ma
AU  - Wenqing Li
AU  - Jida Peng
PY  - 2017/05
DA  - 2017/05
TI  - Application of Entropy Weight Theory in Evaluation of Rainstorm Risk
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 286
EP  - 289
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.64
DO  - 10.2991/ammsa-17.2017.64
ID  - Ma2017/05
ER  -