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Evaluating the hydrological responses to climate change over a large basin with a hydrological-vegetation coupling model

机译:利用水文植被耦合模型评估大流域对气候变化的水文响应

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A physically-based distributed hydrological-vegetation coupling model, VIP, is developed to predict the responses, i.e. the relative changes, of hydrological processes to climate change in the Wuding River basin, one of the largest tributaries to the middle Yellow River, located in the Loess Plateau. It is found that the discharge is sensitive to climate change scenarios, and the response amplitudes are quite different at sub-basins. The response of discharge ranges from 11% to 25% under the scenarios of ±10% precipitation variations and 1℃ temperature increment, showing that precipitation amplifies stream runoff change, but the warming mitigates the responses of runoff. Regressive analysis shows that better correlation exists between the responses of runoff and the annual runoff (basin area), with the Pearson coefficient (r) being from 0.35 to 0.61, than the correlation between the response of runoff and annual precipitation with r being from 0.29 to 0.43. It is illustrated that considering precipitation processes other than just the annual precipitation, and running the ecohydrological model at as small as a daily scale and coupling with vegetation dynamics, are crucial in exploring the responses of hydrological processes to climate change.
机译:建立了基于物理的分布式水文-植被耦合模型VIP,以预测武定河流域的水文过程对气候变化的响应,即相对变化,武定河流域是黄河中游的最大支流之一。黄土高原。发现放电对气候变化情景很敏感,子流域的响应幅度有很大不同。在±10%的降水变化和1℃的温度升高的情况下,排放的响应范围从11%到25%,这表明降水增加了径流的变化,但变暖减轻了径流的响应。回归分析表明,径流量与年径流量(流域面积)之间的相关性更好,皮尔逊系数(r)为0.35至0.61,而不是径流与年降水量的相关性,r为0.29。至0.43。结果表明,考虑除年降水量以外的降水过程,并以每日规模运行生态水文模型并结合植被动态,对于探索水文过程对气候变化的响应至关重要。

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