Author(s)

Sovannaka Suon, Yi Li^*, Lybun Porn, Tehseen Javed

College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, China.

Drought has been analyzed by various indices based on rainfall, temperature, evapotranspiration or soil moisture data. Remoste-sensing based data has spatial continuity with certain resolution and is useful for drought monitor. The purpose of this study was to investigate quality used of grid relative soil moisture, the spatial and temporal variation of soi moisture, and soil moisture drought based on relative soil moisture over China during 2008-2016. The results show that the relative soil moisture data set can reflect the spatial characteristics of the development of drought in China during 2008-2016. From the spatial distribution analysis, the northwest to northeast, south part of China, and other major arid areas, the performance is particularly evident. The results show that the use of CLDAS V1.0 real-time products, access to time and space continuous soil relative humidity products, can achieve the drought in China real-time monitoring

Soil Moisture, Soil Moisture Drought, Validation Assessment, Spatial Distribution

Suon, S. , Li, Y. , Porn, L. and Javed, T. (2019) Spatiotemporal Analysis of Soil Moisture Drought over China during 2008-2016. Journal of Water Resource and Protection, 11, 700-712. doi: 10.4236/jwarp.2019.116041.