| Daily standardized antecedent precipitation evapotranspiration index (SAPEI) and its adaptability in the evaluation of soybean drought and flood in Liaoning Province |
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| DOI：10.7606/j.issn.1000-7601.2023.05.31 |
| Key Words: standardized antecedent precipitation evapotranspiration index (SAPEI) soybean antecedent drought and waterlogging index daily scale log-Logistic Liaoning Province |
| Author Name | Affiliation | | DONG Qiuting | Meteorological Bureau of Hunnan District in Shenyang City, Shenyang, Liaoning 110180, China | | ZHANG Shujie | Institute of Atmospheric Environment, China Meteorological Administration, Key laboratory of Agrometeorological Disasters, Shenyang, Liaoning 110166, China | | DIAO Jun | Meteorological Bureau of Hunnan District in Shenyang City, Shenyang, Liaoning 110180, China | | JIANG Shan | Meteorological Bureau of Shenyang District, Shenyang, Liaoning 110180, China | | HE Minghui | Meteorological Bureau of Hunnan District in Shenyang City, Shenyang, Liaoning 110180, China | | Liu Min | Institute of Atmospheric Environment, China Meteorological Administration, Key laboratory of Agrometeorological Disasters, Shenyang, Liaoning 110166, China
Meteorological Bureau of Tieling District, Tieling, Liaoning 112000, China |
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| Abstract: |
| Agricultural drought and waterlogging are two of the most compelling problems affecting agricultural productivity and efficiency. Based on the daily meteorological observation data and soil moisture data of 51 meteorological stations in Liaoning from 1961 to 2020, a daily standardized antecedent precipitation evapotranspiration index (SAPEI) was constructed by fitting the daily antecedent precipitation evapotranspiration index (APEI) series with 3-parameter log-Logistic distribution. In addition, the feasibility and applicability of SAPEI were analyzed in 4 representative stations that were selected in main soybean producing areas of Liaoning. The results showed that the log-Logistic probability distribution curve of representative stations highly corresponded with the empirical probability distribution curve. Representative stations’ daily SAPEI curve described the change in farmland water budget of soybean in Liaoning Province. In the case of the change in drought and flood from August to September in 2014, SAPEI’s drought and waterlogging grades and change characteristics were in good agreement with soil moisture in the same period. Spatial distribution of drought, waterlogging accumulation, and annual mean values of accumulated index based on soybean whole development stage’s SAPEI were primarily distributed latitudinally. These distribution characteristics conformed to the actual distribution of drought and waterlogging in Liaoning. Therefore, the daily scale SAPEI and antecedent drought and waterlogging index reflected the impact of precipitation time and daily rainfall on farmland drought and waterlogging, accurately depicting the daily scale changes and process cumulative effects of drought and flood in different regions of Liaoning. As a result, the SAPEI can be applied to daily dynamically monitoring the service of soybean drought and flood in Liaoning. |
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