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Spatial and temporal characteristics of droughts in the Northeast China Transect

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  • Xiaoxue Wang
  • Huitao Shen
  • Wanjun Zhang
  • Jiansheng Cao
  • Yongqing Qi
  • Guopeng Chen
  • Xuyong Li

Abstract

In this study, drought trends and change magnitudes of the Northeast China Transect (NECT) were analyzed using the Mann–Kendall test and Theil–Sen’s slope estimator. Meteorological data from 20 meteorological stations of NECT region from 1957 to 2012 were used. Results demonstrated that five stations had significant negative trends in precipitation. The magnitudes of the significant negative trends at the 95 % confidence level varied from −2.41 ± 1.05 mm year −1 at Tonghe station to −1.11 ± 0.51 mm year −1 at Qianguoerluosi station. Analysis of the seasonal precipitation series showed a mix of negative and positive trends. Many stations also exhibited strong contrasting seasonal trends that counterbalanced one other at the yearly level. In addition, cluster analysis based on discrete wavelet transform (DWT) was applied to the standard precipitation index (SPI) series. Results revealed three different and spatially well-defined subregions (east, center and west regions of NECT). Due to the decrease in precipitation from the east to the west, land use varies from forest regions in the east, to agriculture in the center, to pastoral areas in the west. Characteristics of drought events for each representative station of different subregions are explored using temporal evolution of the SPI values. Results showed that severe or extreme droughts occurred in 2001, 2003 and 2008 in Tonghe, 1980 and 2007 in Tongliao and 2005–2007 in East Ujimqin Banner. Results indicate that clustering analysis based on DWT has great potential for examining spatial coherence of regional drought, which was consistent with not only the precipitation spatial distribution but also the characteristics of land use in the study area. This study not only provides important information on drought variability in the NECT, but also provides useful information for improving water management strategies and planning agricultural practices. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Xiaoxue Wang & Huitao Shen & Wanjun Zhang & Jiansheng Cao & Yongqing Qi & Guopeng Chen & Xuyong Li, 2015. "Spatial and temporal characteristics of droughts in the Northeast China Transect," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 601-614, March.
    • Handle: RePEc:spr:nathaz:v:76:y:2015:i:1:p:601-614
    DOI: 10.1007/s11069-014-1507-7
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    Citations

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    Cited by:

    1. Muhammad Imran Khan & Dong Liu & Qiang Fu & Shuhua Dong & Umar Waqas Liaqat & Muhammad Abrar Faiz & Yuxiang Hu & Qaisar Saddique, 2016. "Recent Climate Trends and Drought Behavioral Assessment Based on Precipitation and Temperature Data Series in the Songhua River Basin of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4839-4859, October.
    2. Lei Chang & Han Luo & Huijia Liu & Wenxin Xu & Lixin Zhang & Yuefen Li, 2024. "Tracking Land-use Trajectory and Other Potential Drivers to Uncover the Dynamics of Carbon Stocks of Terrestrial Ecosystem in the Songnen Plain," Land, MDPI, vol. 13(5), pages 1-20, May.
    3. Yu Peng & Jingyi Song & Tiantian Cui & Xiang Cheng, 2017. "Temporal–spatial variability of atmospheric and hydrological natural disasters during recent 500 years in Inner Mongolia, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(1), pages 441-456, October.
    4. Zuo, Depeng & Cai, Siyang & Xu, Zongxue & Peng, Dingzhi & Kan, Guangyuan & Sun, Wenchao & Pang, Bo & Yang, Hong, 2019. "Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data," Agricultural Water Management, Elsevier, vol. 222(C), pages 125-138.

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