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

Spatio-temporal Characteristics Of Corn Drought Disaster in Jilin based on Yearly Growth Stage Data

Authors
Qi Zhang, Juan Du, Jiquan Zhang
Corresponding Author
Qi Zhang
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.99How to use a DOI?
Keywords
Jilin Province, corn, the Standardized Precipitation Index (SPI), spatial distribution, yield
Abstract
Based on daily precipitation data, maize growth and yield data for the period 1981-2009 at 12 meteorological stations in Jilin. Then the Standardized Precipitation Index(SPI) and Mann-Kendall test were used to study the drought disaster during different growing period of corn. The results showed that the maize during the phase of tasseling and maturity tend to dry in Jilin. Drought happened more and more frequently, especially in northeast Jilin Province. Drought happen in stage of tasseling and maturity resulted in severe effects on maize yield. In every growth stage severe drought and extreme drought had more remarkable influences on maize yield than others. The present study provides some scientific technicalÿguidelines for drought resistance of maize in Jilin Province.
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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-16.2016.99How 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  - Qi Zhang
AU  - Juan Du
AU  - Jiquan Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Spatio-temporal Characteristics Of Corn Drought Disaster in Jilin based on Yearly Growth Stage Data
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 612
EP  - 617
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.99
DO  - https://doi.org/10.2991/rac-16.2016.99
ID  - Zhang2016/11
ER  -