GEP  Vol.7 No.11 , November 2019
Meteorological Drought Warning Research in Fujian Province, China during 1971-2016
Abstract: This paper optimizes the meteorological drought assessment method in Fujian Province, China, making it more suitable for long-term serial drought statistics. Using the precipitation data of Pingtan National Basic Weather Station from 1971 to 2016, according to the optimized meteorological drought assessment method, statistics Pingtan meteorological drought process, and its characteristics analysis; through the multi-model integrated forecasting super-aggregate method, the 2011-2014 Fujian precipitation reality and the European Center, T639, WRF, Japan and other numerical forecast products were used for comparative analysis. The use of multiple regression method was used to forecast precipitation, by the localized precipitation correction scheme. The early warning method of single station meteorological drought process based on precipitation reality and precipitation forecast is obtained, and the platformization idea is proposed.
Cite this paper: Li, S. , Wang, X. , Gao, C. and Ye, X. (2019) Meteorological Drought Warning Research in Fujian Province, China during 1971-2016. Journal of Geoscience and Environment Protection, 7, 220-228. doi: 10.4236/gep.2019.711016.

[1]   Chen, J. M., & Zhao, X. C. (2012). Analysis on Drought Characteristics and Indicators in Wuhai City. Journal of Northern Agriculture, 1, 79-81.

[2]   Du, L. T., Tian, Q. J., Huang, Y. et al. (2012). Drought Monitoring and Reliability Test in Shandong Province Based on TRMM Data. Journal of Agricultural Engineering, 28, 121-126.

[3]   Duan, H. X., Wang, S. P., & Feng, J. Y. (2012). The National Drought Situation in 2011 and Its Impact and Causes. Arid Meteorology, 30, 136-147.

[4]   Li, X. Y. (2012). Study on the Early Warning Method of Drought in Ningxia. Nanjing: Nanjing University of Information Science and Technology.

[5]   Li, Z. G., Zhu, L. L., Cheng, K. K. et al. (2012). Characteristics and Causes of Drought Disasters in Henan Province from 1950 to 2009.Arigricultural of Hubei, 51, 1107-1111.

[6]   Liu, Z. X., & Xiao, Y. (2012). Analysis of Drought and Flood Indexes and Their Change Characteristics in the Upper Reaches. Resources and Environment in the Yangtze River Basin, 21, 210-211.

[7]   Takeuchi, W., Darmawan, S., Shofiyati, R., Khiem, M. V., & Heng, S. (2015). Near-Real Time Meteorological Drought Monitoring and Early Warning System for Croplands in Asia. ACRS 2015: The 36th Asian Conference on Remote Sensing “Fostering Resilient Growth in Asia”.

[8]   Wambua, R. M., Mutua, B. M., & Raude, J. M. (2018). Detection of Spatial, Temporal and Trend of Meteorological Drought Using Standardized Precipitation Index (SPI) and Effective Drought Index (EDI) in the Upper Tana River Basin, Kenya. Open Journal of Modern Hydrology, 8, 83-100.

[9]   Yan, M. C., Zhang, X. C., & Hu, S. (2012). Drought Monitoring Research in Beijing-Tianjin-Tangshan Region Based on MODIS Data. Geography and Geographic Information Science, 28, 94-98.

[10]   Zeng, L., Schmitt, R. W., Li, L., Wang, Q., & Wang, D. (2019). Forecast of Summer Precipitation in the Yangtze River Valley Based on South China Sea Springtime Sea Surface Salinity. Climate Dynamics, 15, 1-15.