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| Comprehensive drought monitoring model based on spatial distance model and its application in Northeast China |
| ZHAO Yiyuan, JIANG Hailing*, ZHOU Xingyu, LI Yao, CHEN Guangyi |
| College of Tourism and Geographical Science, Jilin Normal University, Siping, Jilin 136000, China |
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Abstract The Comprehensive drought monitoring model was built by combining the factors of precipitation condition index(PCI), modified energy index(MEI)and vegetation condition index(VCI)with spatial distance model(SDM), which was based on comprehensive drought index(CDI). The PCI, MEI and VCI represent atmospheric precipitation deficit, soil moisture surplus and deficiency and vegetation growth, respectively. The applicability of CDI was verified by using grain yield per unit area, crop disaster area and standardized precipitation evapotranspiration index(SPEI). The results illustrated that the CDI can reflect agricultural and meteorological drought information. The absolute value of correlation coefficients between CDI and grain yield per unit area are all exceeding 0.66(P<0.05), and the highest was 0.82(P<0.01). The absolute value of correlation coefficients between CDI and crop disaster area in Heilongjiang, Jilin and Liaoning provinces are 0.75, 0.74 and 0.74, respectively, which passed the signi-ficance test(P<0.05). The correlation coefficients between CDI and SPEI are between -0.80~-0.67(P<0.01). In addition, based on the CDI, the continuous drought events in spring and summer of 2018 in Northeast China are monitored, and the results are consistent with the actual drought situation, which better reflected the temporal and spatial evolution of the drought situation.
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Received: 08 November 2021
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