Department of Agricultural Economics, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
Environ Monit Assess. 2019 Feb 6;191(3):134. doi: 10.1007/s10661-019-7266-x.
This research evaluated climate change impacts on water resources using soil and water assessment tool (SWAT) models under representative concentration pathway scenarios (RCP 2.6, RCP 6, RCP 8.5). First, drought intensity was calculated using the standardized precipitation index (SPI) for the period 1987-2016. Then, the coefficients of precipitation as well as minimum and maximum temperature changes were simulated as SWAT model inputs. The results revealed that temperature will rise in future periods and the precipitation rate will be changed consequently. Then, changes in runoff during periods of 2011-2040, 2041-2070, and 2071-2100 were simulated by introducing downscaled results to SWAT model. The model was calibrated and validated by SWAT calibration and uncertainty procedures (SWAT-CUP). Nash-Sutcliffe (NS) coefficients (0.57 and 0.54) and R determination coefficients (0.65 and 0.63) were obtained for calibration and validation periods, respectively. The results showed that runoff will rise in fall and spring while it will drop in winter and summer throughout future periods under all three scenarios. Such seasonal shifts in runoff levels result from climate change consequences in the forms of temperature rise, snowmelt, altered precipitation pattern, etc. Future-period evapotranspiration will rise under all three scenarios with a maximum increase in the period 2070-2100 under RCP 8.5 scenario. Additionally, rainfed crop yields will decline without considerable changes in irrigated and horticultural crop yields.
本研究使用土壤和水评估工具 (SWAT) 模型,在代表性浓度途径情景 (RCP 2.6、RCP 6、RCP 8.5) 下评估气候变化对水资源的影响。首先,使用标准化降水指数 (SPI) 计算了 1987-2016 年期间的干旱强度。然后,模拟了降水以及最小和最大温度变化的系数作为 SWAT 模型的输入。结果表明,未来时期气温将上升,降水率也将随之变化。然后,通过将降尺度结果引入 SWAT 模型,模拟了 2011-2040 年、2041-2070 年和 2071-2100 年期间的径流量变化。该模型通过 SWAT 校准和不确定性程序 (SWAT-CUP) 进行了校准和验证。校准和验证期的纳什-苏特克利夫 (NS) 系数分别为 0.57 和 0.54,R 确定系数分别为 0.65 和 0.63。结果表明,在所有三种情景下,未来时期的径流量将在秋季和春季增加,而在冬季和夏季减少。这种径流量水平的季节性变化是由于气候变化导致的气温上升、融雪、降水模式改变等后果造成的。在所有三种情景下,未来时期的蒸散量将增加,在 RCP 8.5 情景下,2070-2100 期间的增加幅度最大。此外,雨养作物产量将下降,而灌溉和园艺作物产量没有明显变化。