Spatio-temporal Distribution of Drought in the Belt and Road Area During 1998-2015 Based on TRMM Precipitation Data

  • 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;
    4. Shandong University of Technology, Zibo, Shandong 255012, China;
    5. Baikal Institute of Nature Management, Siberian Branch, Russian Academy of Sciences, Ulan-Ude 670047, Russia;
    6. School of Engineering and Applied Sciences, National University of Mongolia, Ulaanbaatar city 210646, Mongolia;
    7. Department of the Geography School of the Art & Sciences, National University of Mongolia, Ulaanbaatar city 210646, Mongolia

Received date: 2017-04-22

  Revised date: 2017-08-02

  Online published: 2017-11-30

Supported by

Construction Project of China Knowledge Center for Engineering Sciences and Technology (CKCEST-2017-3-1); Cultivate Project of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science (TSYJS03); National University of Mongolia (P2017-2396)


Drought is a worldwide natural disaster that has long affected agricultural production as well as social and economic activities. Frequent droughts have been observed in the Belt and Road area, in which much of the agricultural land is concentrated in fragile ecological environment. Based on the Tropical Rainfall Measuring Mission Satellite (TRMM) 3B43 precipitation data, we used the Precipitation Abnormity Percentage drought model to study the monthly spatio-temporal distribution of drought in south region of N50° of the Belt and Road area. It was observed that drought during winter was mainly distributed in Northeast Asia, Southeast Asia, and South Asia, while it was mainly distributed in Central Asia and West Asia during summer. The occurrence of historical droughts indicates an obvious seasonal cycle. The regional variations in drought were analyzed using the Breaks for Additive Season and Trend tool (BFAST) in six sub-regions according to the spatial distribution of six economic corridors in the Belt and Road area. The average drought conditions over the 18 years show a slight decreasing trend in Northeast Asia, West Asia, North Africa, South Asia, Central and Eastern Europe, and a slight increasing trend in Central Asia. However, it was a fluctuating pattern of first increasing and then decreasing in Southeast Asia. The results indicate that the total drought area in the Belt and Road region showed a general decreasing trend at a rate of 40,260 km2 per year from 1998 to 2015.

Cite this article

BAI Yongqing, WANG Juanle, WANG Yujie, HAN Xuehua, Bair Z. Tsydypov, Altansukh Ochir, Davaadorj Davaasuren . Spatio-temporal Distribution of Drought in the Belt and Road Area During 1998-2015 Based on TRMM Precipitation Data[J]. Journal of Resources and Ecology, 2017 , 8(6) : 559 -570 . DOI: 10.5814/j.issn.1674-764x.2017.06.002


1 Huete A R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment , 25 (3): 295-309.
2 Big Data Center for the Belt and Road Initiative in National Information Center. 2016. Big data report of the Belt and Road Initiative (2016)[M]. Beijing, the Commercial Press. (in Chinese)
3 Chen J, Shi P, Wang D X, et al . 2007. Spatial distribution and seasonal variability of the rainfall observed from TRMM Precipitation Radar (PR) in the South China Sea Area (SCSA). Advances in Earth Science , 20 (1): 29-35. (in Chinese)
4 China Meteorological Administration. GB/T20481-2006. Classification of Meteorological Drought[S]. (in Chinese)
5 China News Service. 2015. United Nations: Annual global losses from natural disasters as much as $300 billion[OL]. http://www.chinanews. com/gj/2015/03-05/7104479.shtml. (in Chinese)
6 Wilhite D A. 2000. Drought as a natural hazard: Concepts and definitions. Drought A Global Assessment , 1: 3-18.
7 Han L Y, Zhang Q, Yao Y B, et al . 2014. Characteristics and origins of drought disasters in Southwest China in nearly 60 years. Acta Geographical Sinica , 69 (5): 632-639. (in Chinese)
8 Bartholic J F, Namkem L N, Wiegand C L. 1962. Aerial Thermal Scanner to Determine Temperatures of Soils and of Crop Canopies Differing in Water Stress. Agronomy Journal , 64 (5): 603-608.
9 Quan J L, Zhan W F, Chen Y H, et al . 2016. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands. Journal of Geophysical Research Atmospheres , 121: n/a-n/a.
10 Verbesselt J, Hyndman R, Newnham G, et al . 2010. Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment , 114(1): 106-115.
11 Verbesselt J, Zeileis A, Herold M. Near real-time disturbance detection using satellite image time series. Remote Sensing of Environment , 2012, 123(123): 98-108.
12 Rouse J W, Haas R W, Schell J A, et al . 1974. Monitoring the vernal advancement and retrogradation (Greenwave effect) of natural vegetation. NASA/GSFCT Type III final report. Nasa.
13 Li J G, Ruan H X, Li J R, et al . 2010. Application of TRMM precipitation data in meteorological drought monitoring. Journal of China Hydrology , 30 (4): 43-46. (in Chinese)
14 Liu G S, Guo A H, An S Q, et al . 2004. Research progress in Palmer drought severity index and it’s application. Journal of natural disasters , 13 (4): 21-27. (in Chinese)
15 Liu H, Liu R G, Liu S Y. 2012. Review of drought monitoring by remote sensing. Journal of Geo-information Science , 14 (2): 232-239. (in Chinese)
16 Ma H T. 2006. Exploring on correction and error sources of remote sensing image: taking Jixi city as an example[C]. Annual meeting of China land society. (in Chinese)
17 National Development and Reform Commission, Ministry of Foreign Affairs, and Ministry of Commerce of the People's Republic of China. 2015. Vision and Actions on Jointly Building Silk Road Economic Belt and 21st-Century Maritime Silk Road. Finance & Accounting for Communications (4): 82-87. (in Chinese)
18 Pei H J. 2016. Global natural disasters in 2015 dominated by meteorological disasters. Monitoring express of resources and environmental science development (5): 11-12. (in Chinese)
19 Curran P J. 1979. The use of polarized panchromatic and false-color infrared film in the monitoring of soil surface moisture. Remote Sensing of Environment , 8 (3): 249-266.
20 Qi S H, Zhang Y P, Niu Z, et al . 2005. Application of water deficit index in drought monitoring in China with remote sensing. Acta Pedological Sinica , 42 (3): 367-372. (in Chinese)
21 Ren S Y. 1991. Research on drought concept. Agricultural Research in the Arid Areas , 1: 78-80. (in Chinese)
22 Sun Z H, Wang Z L, Cao X M, et al . 2014. Application of 3 drought evaluation indices of the Loess Plateau in Shaanxi Province. Chinese Agricultural Science Bulletin , 30(20): 308-315. (in Chinese)
23 UNISDR, CRED. 2016. 2015 disasters in numbers. UNISDR PUBLICATIONS.
24 Wang Y W. 2015. Challenges and opportunities of the Belt and Road Initiative [M]. Beijing, People's Publishing House. (in Chinese)
25 Che X H, Yang Y P, Feng M, et al . 2017. Mapping Extent Dynamics of Small Lakes Using Downscaling MODIS Surface Reflectance. Remote Sensing, 9 (1): 82-103.
26 Xiao Z S. 2016. Numbers in the Belt and Road area[M]. Beijing, Commercial Press. (in Chinese)
27 Ye D Z. 1996. Study on regularity and cause of flood and drought in the Yangtze River and the Yellow River Basin[M]. Shandong, Shandong science and technology press. (in Chinese)
28 Zhang J S. 1993. Definition of drought and its logical analysis. Agricultural Research in the Arid Areas , (3): 97-100. (in Chinese).