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CMIP6多模式集成对淮北平原潜水蒸发模拟及未来情景预估

Simulation and future projection of phreatic evaporation in Huaibei Plain using CMIP6 multi-model Ensemble

  • 摘要: 潜水蒸发过程是地表地下水垂向交互的关键纽带,准确模拟及预估潜水蒸发量对淮北平原浅层地下水资源评价和管理具有重要的意义。该研究采用包括五道沟水文实验站在内的淮北平原潜水蒸发实测资料,在评估潜水蒸发公式在淮北平原适用性的基础上,进一步改进优选的叶水庭公式。采用迭代算法,结合淮北平原地下水埋深实测资料,模拟了淮北平原砂姜黑土和黄潮土的潜水蒸发历史变化过程。以CMIP6中5个气候模式的未来降水和蒸发能力为主要影响因子,结合长短期记忆网络(long short-term memory,LSTM)多模式集成法,基于潜水蒸发迭代算法与改进的叶水庭公式,预估未来SSP1-2.6、SSP2-4.5、SSP5-8.5情景下淮北平原潜水蒸发变化趋势。结果表明:1)叶水庭公式在五道沟实验站砂姜黑土和黄潮土的适用性较高,改进后的叶水庭公式对安徽省淮北平原潜水蒸发的模拟效果优于其他经验公式,淮北平原历史时期年均潜水蒸发量从大到小依次为黄潮土区(254.5mm)、淮北平原面平均(179.3mm)、砂姜黑土区(108.5mm),淮北平原不同分区的潜水蒸发在历史时期均呈增加趋势。2)LSTM多模式集成方法能很好地再现基准期降水和蒸发能力变化,淮北平原的未来降水和蒸发能力在3种排放情景下都高于历史时期,从大到小依次为SSP5-8.5、SSP1-2.6、SSP2-4.5;通过潜水蒸发迭代算法预估的未来3种排放情景下地下水埋深波动幅度均小于历史时期,SSP1-2.6与SSP2-4.5情景下的地下水埋深小于历史时期,而SSP5-8.5情景下则显著高于历史时期。3)未来3种排放情景下的潜水蒸发变化幅度均高于历史时期,呈增加趋势;其增幅和变化速率从小到大为SSP1-2.6、SSP2-4.5、SSP5-8.5;冬季变化率与不确定性均明显高于春夏秋季。研究结果提高了潜水蒸发计算精度,为淮北平原潜水蒸发与水循环要素模拟预估研究提供一定的数据参考价值。

     

    Abstract: Phreatic evaporation constitutes a critical vertical linkage in the vertical interaction between surface water and groundwater systems. Accurate simulation and quantification of phreatic evaporation processes are of great significance for the assessment and sustainable management of shallow groundwater resources in the Huaibei Plain. This study utilizes observed phreatic evaporation data from the Huaibei Plain, incorporating key measurements from the Wudaogou Hydrological Experimental Station to evaluate the regional characteristics of phreatic evaporation. The applicability of commonly used phreatic evaporation formulas in the Huaibei Plain was systematically evaluated, based on which the Ye Shuiting formula was further optimized. An advanced iterative algorithm was employed, integrating spatially distributed observed groundwater depth data across the plain, to meticulously simulate the historical variation and dynamics of phreatic evaporation processes, particularly focusing on the distinctive lime concretion black soil and yellow fluvo-aquic soil areas. Future projections of precipitation and evaporative capacity derived from five CMIP6 climate models were used as the primary climatic forcing factors. A Long Short-Term Memory (LSTM)-based multi-model ensemble approach was employed to integrate these climate projections. Combined with the phreatic evaporation iterative algorithm and the optimized Ye Shuiting formula, this approach was used to project future trends of phreatic evaporation in the Huaibei Plain under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. The results show that: 1) The Ye Shuiting formula shows high applicability to both lime concretion black soil and yellow fluvo-aquic soil at the Wudaogou Hydrological Experimental Station. The improved Ye Shuiting formula outperforms other empirical formulas in simulating phreatic evaporation in the Huaibei Plain of Anhui Province. The historical annual average phreatic evaporation in the Huaibei Plain follows the order: yellow fluvo-aquic soil area (254.5 mm) > areal average of Huaibei Plain (179.3 mm) > lime concretion black soil area (108.5 mm). Phreatic evaporation in all subregions of the Huaibei Plain exhibited an increasing trend during the historical period. 2) The LSTM-based multi-model ensemble method demonstrates strong capability in reproducing the variations in precipitation and evaporative capacity during the baseline period. Projections indicate that future precipitation and evaporative capacity over the Huaibei Plain under the three emission scenarios exceed historical levels, with the ranking SSP5-8.5 > SSP1-2.6 > SSP2-4.5. Results derived from the phreatic evaporation iterative algorithm show that the amplitude of groundwater depth fluctuations under the three future emission scenarios is smaller than that during the historical period. Specifically, groundwater depths under the SSP1-2.6 and SSP2-4.5 scenarios are lower than those during the historical period, whereas those under SSP5-8.5 exhibit a significant deepening relative to the historical period. 3) The magnitudes of phreatic evaporation variations under the three future emission scenarios exceeds those in the historical period, exhibiting an overall increasing trend. The increase amplification amplitudes and change rates rank from smallest to largest as SSP1-2.6, SSP2-4.5, and SSP5-8.5. Notably, the change rate and associated uncertainty in winter are significantly higher than those in spring, summer, and autumn. The findings have enhanced the calculation accuracy of phreatic evaporation, thereby contributing to the data reference for modeling and projecting phreatic evaporation and water cycle components in the Huaibei Plain.

     

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