Research on Applicability Analysis of Drought Index in Liaoning Area

2018 2nd International Workshop on Renewable Energy and Development

能源学;经济学

Wang, Xin^1 ; Ding, Hua^1 ; Sun, Li Shuang^1 ; Li, Ru Ren^1 ; Liu, Yu Mei^1

School of Traffic Engineering, Shenyang Jianzhu University, Shenyang, Liaoning

110168, China^1

关键词: Advanced microwave scanning radiometer;    Applicability analysis;    Brightness temperatures;    Correlation analysis;    Distribution characteristics;    Earth observing systems;    Meteorological station;    Soil moisture monitoring;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/153/6/062049/pdf
DOI  :  10.1088/1755-1315/153/6/062049

来源: IOP

【 摘 要 】

Based on brightness temperature data of AMSR-E (advanced microwave scanning radiometer - earth observing system) in 2009 and 2011, the inversion on 8 brightness temperature ratios is performed as alternative drought indexes in this paper. The correlation analysis is made through the soil moisture extracted from inversion drought index and data itself, and 3 kinds of alternative drought that relatively coincide with soil moisture of AMSR-E data itself are selected. And then on this basis, the analysis on the change situation of 3 kinds of microwave moisture indexes in 10 pixel × 10 pixel rectangular region of Shenyang and Chaoyang is made, and the evaluation on the monitoring advantages and disadvantages of 3 kinds of indexes on soil moisture is performed, so as to obtain the optimal index PIv6.9 for drought monitoring. In the end, in order to further study PIv6.9 on soil moisture monitoring situation within the range of Liaoning province, four days with relatively large precipitation are selected according to meteorological station data in 2009, the precipitation data of 51 meteorological stations in Liaoning province are interpolated within the range of the whole province by utilizing Kriging method, and the contrastive analysis on the spatial distribution of precipitation and PIv6.9 index is made. The results show that PIv6.9 can best reflect the spatial distribution characteristics of drought status in Liaoning province.