Assessment of Meteorological and Agricultural Drought Indices under Climate Change Scenarios in the South Saskatchewan River Basin, Canada

被引:3
|
作者
Zare, Mohammad [1 ]
Azam, Shahid [2 ]
Sauchyn, David [1 ]
Basu, Soumik [1 ,3 ]
机构
[1] Univ Regina, Prairie Adaptat Res Collaborat, Regina, SK S4S 0A2, Canada
[2] Univ Regina, Environm Syst Engn, Regina, SK S4S 0A2, Canada
[3] Univ Alaska Fairbanks, Int Arctic Res Ctr, Fairbanks, AK 99775 USA
关键词
drought indices; climate change; SWC; SWAT-M; Southern Saskatchewan River Basin; SWAT MODEL; SOIL-MOISTURE; WATER-QUALITY; SIMULATION; SENSITIVITY; CALIBRATION; SEVERITY; ALBERTA; IMPACT;
D O I
10.3390/su15075907
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change has amplified the severity of droughts with potentially adverse impacts on agriculture in western Canada. This study assessed meteorological and agricultural drought in the Southern Saskatchewan River Basin (SSRB) using an array of drought indices, including the Standardized Precipitation Index (SPI), the Standardized Precipitation-Evapotranspiration Index (SPEI), the Self-Calibrated Palmer Drought Severity Index (scPDSI), the Soil Moisture Deficit Index (SMDI), and the Evapotranspiration Deficit Index (ETDI). These indices were evaluated using multiple regional climate model (RCM) projections assuming 1.5, 2.0, and 3.0 degrees C thresholds of global warming. A modified Soil and Water Assessment Tool (SWAT-M) was used to simulate the soil water content (SWC), actual evapotranspiration (AET), and potential evapotranspiration. The results of a sensitivity analysis using the SUFI-2 method in SWAT-CUP showed that the model performed well with BIAS lower than 10% and NSE and R higher than 0.7, and the range of SWC output closely matched the observed SWC. According to the RCM projections, the annual precipitation increases for all three global temperature thresholds while the annual mean temperature increases at a greater rate than the rise in global mean temperature. The projected PDSI and the SPEI suggest that drought duration and severity will exceed historical values while SPI will remain largely unchanged. Furthermore, severe drought conditions (SMDI < 2.0) are more frequent under the 3.0 degrees C global temperature scenario. The mean ETDI was historically 0.58 while the projected value is 0.2, 0.1, and -0.2 for the first to third scenarios, respectively. Simulated values, spatial maps, and heat maps of SMDI and ETDI illustrated that Canesm2.CRCM5 projects the driest conditions among all the RCMs. Agricultural drought indices, which incorporate SWC data, show more significant effects than meteorological drought indices. The increasing dryness will potentially impact agricultural crop production, particularly under the third scenario (3 degrees C) in the SSRB.
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页数:26
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