首页> 外文期刊>Theoretical and applied climatology >Analyzing long-term spatial variability of blue and green water footprints in a semi-arid mountainous basin with MIROC-ESM model (case study: Kashafrood River Basin, Iran)
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Analyzing long-term spatial variability of blue and green water footprints in a semi-arid mountainous basin with MIROC-ESM model (case study: Kashafrood River Basin, Iran)

机译:利用MIROC-ESM模型分析半干旱山区盆地蓝色和绿色水足迹的长期空间变异性(案例研究:伊朗Kashafrood流域)

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摘要

The river basin hydrology cycles and the available water resources (including blue and green water) are greatly influenced by the climate change and rainfall patterns in regions with arid and semi-arid climates. In this study, the impacts of climate change on the parameters of virtual water is evaluated in the Kashafrood River (KR), as a large-scale basin which is located in the northeast of Iran, by means of SWAT model (Soil and Water Assessment Tool) along with SUFI-2 (Sequential Uncertainty Fitting Program version 2). In addition, sensitivity and uncertainty analyses are taken into account at five runoff stations for calibrating and validating the model. Based on the changes in blue water (BW), green water flow (GWF), and green water storage (GWS), the water availability was analyzed using MIROC-ESM model in series of the Coupled Model Intercomparison Project Phase 5 (CMIP5) and was compared with two Representative Concentration Pathways (RCPs) of new emission scenarios (RCP2.6 and RCP8.5). These emission scenarios were downscaled based on the observed data under three future periods: near future (2014-2042), intermediate future (2043-2071), and far future (2072-2100) in relation to a historical period (1992-2013). Calibration and validation at multi-site (five stations) showed a proper performance of the SWAT model in modeling hydrological processes. Results of investigating climate change impacts on the blue and green water components (BW and GW) showed that in the historical period, the basin was not in an appropriate climate condition for accessing the water resources. Also, in future times, considerable spatial variations in different hydrological components were observed. On the other hand, under both RCPs and in all three future periods in relative to historical period, the BW contents will increase about 46-74%, while GWF will decrease about 2-15%. Regarding the historical period, it was revealed that the condition of the basin will be improved. In addition, the GWS tended to rise about 11-18% or decrease about 6-60% in the future. The BW and GWS will decrease, and GWS will increase by changing from the near future to the intermediate future. On the other hand, by changing from the intermediate to the far future, BW and GWF will increase under RCP2.6 and will decrease under RCP8.5, respectively. Also, GWS will decrease under both RCPs.
机译:流域水文循环和可用水资源(包括蓝色和绿色水)在干旱和半干旱气候地区受到气候变化和降雨模式的极大影响。在这项研究中,通过SWAT模型(土壤和水评估),在位于伊朗东北部的大型盆地Kashafrood河(KR)中评估了气候变化对虚拟水参数的影响。工具)以及SUFI-2(顺序不确定性拟合程序版本2)。另外,在五个径流站考虑了敏感性和不确定性分析,以校准和验证模型。基于蓝色水(BW),绿色水流量(GWF)和绿色水存储(GWS)的变化,使用MIROC-ESM模型(耦合模型比较项目第5阶段(CMIP5)和将其与新排放情景(RCP2.6和RCP8.5)的两个代表性浓度途径(RCP)进行了比较。这些排放情景是根据三个未来时期的观测数据进行缩减的:相对于历史时期(1992-2013年)的近期(2014-2042年),中间未来(2043-2071年)和远景(2072-2100年) 。在多站点(五个站点)的校准和验证表明,SWAT模型在水文过程建模中具有适当的性能。调查气候变化对蓝色和绿色水成分(BW和GW)的影响的结果表明,在历史时期,该流域没有处于获取水资源的适当气候条件。此外,在未来的时代,人们观察到不同水文成分的空间变化很大。另一方面,相对于历史时期而言,在两个RCP和所有未来三个时期中,BW含量将增加约46-74%,而GWF将减少约2-15%。关于历史时期,人们发现流域的状况将得到改善。此外,未来的GWS倾向于上升约11-18%或下降约6-60%。 BW和GWS将减少,而GWS将通过从不久的将来变为中间的将来而增加。另一方面,通过从中间过渡到远期,BW和GWF在RCP2.6下将增加,在RCP8.5下将减少。同样,在两个RCP下,GWS都会降低。

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