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Volume 8 Journal of Ecosystem & Ecography Biodiversity Congress 2018
July 26-27, 2018
July 26-27, 2018 Melbourne, Australia
7th International Conference on
Biodiversity Conservation and Ecosystem Management
Dynamic of consecutive dry-wet days in the coastal area of China during 1961-2017
Xiaoli Wang
Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, China
Coastal Area of China (CAC) is of high ecological vulnerability and extremely sensitive to the adverse effects of climate change.
Based on the daily precipitation dataset of 156 surface meteorological station records, Consecutive Dry Days (CDD) and
Consecutive Wet Days (CWD) on meteorological station scale in the CAC were calculated by RClimDex model. And a set of
statistical methods, including trend analysis, Pettitt test, Mann-Kendall test and Accumulative anomaly analysis were employed
to investigate the dynamics of CDD and CWD in the CAC. Results showed that annual average of CDD and CWD presented the
opposite spatial patterns of north-high south-low and north-low south-high, respectively and annual average of CDD is generally
more than that of CWD, especially in the Hebei province and western of Liaoning province. The continuous dry situation is most
prominent in Shandong, Guangdong and Guangxi and the consecutive wet condition is more obvious on the border of Jiangsu and
Zhejiang, especially in the Yangtze estuary. However, the dry-wet conditions are more uncertain in Liaoning, Hebei and Jiangsu,
where the dry and humid climate change is more complicated. The mutation of CDD and CWD mainly occurred between 1970s
and 1990s and the mutations in CDD were slightly earlier that those in CWD. This study are beneficial to raise awareness of extreme
climate change in the coastal area of China and provide scientific basis and support for climate change mitigation and adaptation as
well as climate change risk management at the regional scale, which is an important supplement to the study of regional responses
to global climate change.
Biography
Xiaoli Wang is dedicated to assessing and predicting climate change as well as risk management of meteorological disasters, especially focusing on such a region
with high climate vulnerability in the coastal area of China. She has used a set of mathematical and statistical methods and models to conduct a thorough research
on extreme temperature events and extreme precipitation events in the coastal area of China. Her expert research provides a reference for understanding of
regional climate change in-depth and a technical support for mitigation and adaptation of climate change.
Xiaoli Wang, J Ecosyst Ecogr 2018, Volume 8
DOI: 10.4172/2157-7625-C4-041