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

Analysis of Drought Characteristic in Sunit Prairie Based on Precipitation Anomaly Percentage during 2000-2015

Authors
Xiaodong Sun, Guixiang Liu, Yuhai Bao, Xiaode Zhang
Corresponding Author
Xiaodong Sun
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.124How to use a DOI?
Keywords
Sunit Prairie; Drought; Precipitation anomaly percentage
Abstract
According to the monthly precipitation data collected from three meteorological stations in Xilingol League from 2000 to 2015, annual and seasonal drought features in Sunit prairie for 16 years were detailed analysis by using precipitation anomaly percentage from the drought frequency and the changing trends of drought. The results show that the frequency of annual precipitation had increased tendency in Sunit prairie from 2000 to 2015, the precipitation tendency was 6077/10a; Precipitation showed a significantly decreasing trends in spring, summer and winter, and the increasing trend of precipitation in autumn; For annual and seasonal scale, the frequency of light drought was higher.
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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-16.2016.124How 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  - Xiaodong Sun
AU  - Guixiang Liu
AU  - Yuhai Bao
AU  - Xiaode Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Analysis of Drought Characteristic in Sunit Prairie Based on Precipitation Anomaly Percentage during 2000-2015
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 771
EP  - 776
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.124
DO  - https://doi.org/10.2991/rac-16.2016.124
ID  - Sun2016/11
ER  -