首页> 外文期刊>Boletín de la Sociedad Geológica Mexicana >Monitoreo del impacto del cambio climático en los recursos hídricos en un área semi-árida de México central mediante un modelo SWAT
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Monitoreo del impacto del cambio climático en los recursos hídricos en un área semi-árida de México central mediante un modelo SWAT

机译:通过SWAT模型监测墨西哥中央半干旱地区水资源对水资源的影响

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A Soil and Water Assessment Tool model (SWAT) was developed for the Cuenca Independencia, a 6992 km2 watershed with a significant seasonal climate situated in the semi-arid highlands of Guanajuato State in central Mexico. This area is dominated by agricultural land cover (43.32 %), followed by pasture (25.7 %). Good to very good results for the coefficient of determination (R2, 0.66 ~ 0.89) and the Nash-Sutcliffe Efficiency (NSE, 0.65 ~ 0.88) were obtained during both the calibration and the validation periods, while the percent bias (PBIAS) was not so good as the former indicators, but with satisfactory to very good results. According to the projections of seven general circulation models (GCM) under Coupled Model Intercomparison Project Phase 5 (CMIP5) for climate change prediction, the Cuenca Independencia may experience more precipitation and higher temperature under emission scenarios of Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 for the mid-century period (2030 - 2059), as well as the end of this century (2070 - 2099), compared to the baseline condition (1970 - 1999). Potential evapotranspiration (PET) and real evapotranspiration (ET) are predicted to increase continuously. Both mean annual surface runoff and aquifer recharge are predicted to increase more rapidly under the condition of scenario RCP 8.5 than RCP 4.5. However, increasing demands of agricultural irrigation are expected to consume the larger water volume seeping into the groundwater system, making aquifer recovery unlikely through natural processes under the current water resources management framework.
机译:土壤和水评估工具模型(SWAT)是为昆卡Indefialencia开发的,一个6992平方公司,位于墨西哥中部的瓜纳古塔州的半干旱高地,季节性气候。该地区以农业陆地覆盖(43.32%)为主,其次是牧场(25.7%)。对于在校准和验证期间获得的测定系数(R2,0.66〜0.89)和NASH-SUTCLIFFE效率(NSE,0.65〜0.88)的良好良好,而偏差百分比(PBIA)不是如前所述,但令人满意的结果令人满意。根据耦合模型相互循环项目阶段5(CMIP5)的七种普通循环模型(GCM)的预测,用于气候变化预测,昆卡Inceptencia可能在代表性浓度途径(RCP)4.5和RCP的发射方案下的沉淀和更高的温度。 8.5在世纪中期(2030 - 2059)以及本世纪末(2070 - 2099),与基线状况相比(1970年至1999年)。预计潜在的蒸散(PET)和真实蒸散(ET)连续增加。预计平均年表面径流和含水层充值均在场景RCP 8.5的情况下更快地增加,而不是RCP 4.5。然而,预计农业灌溉需求的增加将消耗较大的水量渗入地下水系统,通过当前水资源管理框架下的自然过程不太可能进行含水层。

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