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Estimating the effect of climate change on water resources: Integrated use of climate and hydrological models in the Werii watershed of the Tekeze river basin, Northern Ethiopia

机译:估算气候变化对水资源的影响:埃塞俄比亚北部特克泽河流域韦里流域的气候和水文模型的综合利用

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This paper presents the effect of climate change on water resources in the Werii watershed (1797?km2) using climate (SDSM) and hydrological (WetSpa) models. A fully distributed model (WetSpa) was used to simulate the water resources of the base (2004–2010) and future (2015–2050) periods. The digital elevation model (DEM), land-use, soil and hydro-meteorological features of the Werii watershed were used as inputs to the WetSpa model. Likewise, the statistical downscaling model (SDSM) was used to downscale climate projections from the regional climate model (REMO) which in turn would be used as input for the WetSpa model for future water resources simulation based on A1B and B1 special report for emission scenarios (SRES). Simulations of the SDSM and WetSpa models showed that rainfall will be increased by 24% under A1B and 25.3% under B1. The minimum and maximum temperatures will also increment by 0.17 and 0.09?°C, respectively, under A1B and by 0.16 and 0.07?°C under B1, respectively. Similarly, for A1B and B1, positive changes are likely to occur for baseflow by 14% and 8%, respectively, for recharge by 5% and 2%, respectively, and for evapotranspiration by 15% and 18%, respectively. However, the surface runoff would decrease by 13% and 14%, respectively, under similar trends from the base period. This implies that a positive change is likely in the future water balance components of the watershed with the exception of runoff. As a result, increased exploitation of the water resources comparable to the resources increment is advised. However, optimized water resources allocation is worthwhile, providing it is in a sustainable way.
机译:本文利用气候(SDSM)和水文(WetSpa)模型,阐述了气候变化对韦里河流域(1797?km 2 )水资源的影响。使用完全分布式模型(WetSpa)模拟基础期(2004–2010)和未来期(2015–2050)的水资源。 Werii流域的数字高程模型(DEM),土地利用,土壤和水文气象特征被用作WetSpa模型的输入。同样,使用统计缩减模型(SDSM)来缩减区域气候模型(REMO)的气候预测,然后将其用作WetSpa模型的输入,以基于排放情景A1B和B1的特殊报告来进行未来的水资源模拟(SRES)。 SDSM和WetSpa模型的模拟显示,A1B下的降雨量将增加24%,B1下的降雨量将增加25.3%。最低温度和最高温度在A1B下也分别增加0.17和0.09°C,在B1下分别增加0.16和0.07°C。同样,对于A1B和B1,基流可能分别发生14%和8%的正变化,补给量分别发生5%和2%的变化,蒸散量分别发生15%和18%的变化。然而,在与基准期相似的趋势下,地表径流将分别减少13%和14%。这意味着除了径流以外,未来流域的水平衡组成可能会发生积极变化。结果,建议增加与资源增加相当的水资源开发。但是,以可持续的方式优化水资源分配是值得的。

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