Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

Maize Drought and Flood Disaster Hazard Identification and Its Response to Climate Change in Jilin,China

Authors
Danjun Li, Jiquan Zhang, Enliang Guo, Rui Wang
Corresponding Author
Danjun Li
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.104How to use a DOI?
Keywords
climatechange;drought;rain waterlogging,SPI
Abstract
Jilin province is an important corn Production base in China. Due to climate change caused by meteorological disasters has a great influence on maize yield. The drought and rain waterlogging are common meteorological disasters during maize growth period. Using the temperature and precipitation data during maize growth period of Jilin province,we analyzed the trend of climate change.Further more, using the SPI index to identify the occurrence of drought and rain waterlogging,and by using probability density curve of SPI,we can characterize the risk of drought and rain waterlogging during maize growth period in Jilin. Further combining with the maize production data in Jilin province,we can get the analysis of the impact of climate change on maize yield.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/rac-16.2016.104How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Danjun Li
AU  - Jiquan Zhang
AU  - Enliang Guo
AU  - Rui Wang
PY  - 2016/11
DA  - 2016/11
TI  - Maize Drought and Flood Disaster Hazard Identification and Its Response to Climate Change in Jilin,China
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 647
EP  - 651
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.104
DO  - https://doi.org/10.2991/rac-16.2016.104
ID  - Li2016/11
ER  -