首页> 外文期刊>Water Resources Management >Climate Change Impact Assessment on Blue and Green Water by Coupling of Representative CMIP5 Climate Models with Physical Based Hydrological Model
【24h】

Climate Change Impact Assessment on Blue and Green Water by Coupling of Representative CMIP5 Climate Models with Physical Based Hydrological Model

机译:代表性CMIP5气候模型与基于物理的水文模型的耦合对蓝色和绿色水的气候变化影响评估

获取原文
获取原文并翻译 | 示例
           

摘要

Climatic changes have altered hydrological and climatic parameters worldwide, and climate projections suggest that such alterations will continue. In order to maintain the sustainable development and acquire the knowledge of water availability, climatic projection must be coupled with hydrological models. In this study, Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models output were integrated with a calibrated hydrological model, Soil and Water Assessment Tools (SWAT) to evaluate the potential effect of climate change on green and blue water over Upper Narmada river Basin (UNB). Therefore, top three representative climate models (MIROC5, CNRM-CM5 and MPI-ESM-LR) from 24 CMIP5 climate models were selected for hydrological modelling. Selected representative climate model outputs were bias corrected by distribution mapping to remove systematic bias correction. Multi-site model calibration approaches indicated Nash Sutcliffe Efficiency (NSE) and Coefficient of Determination (R-2) as 0.77 and 0.76 for calibration (1978-1995), and 0.73 and 0.70 for validation (1996-2005), respectively. Calibrated model was run for baseline period (1970-2000) and three futuristic period P1 (2011-2040), P2 (2041-2070) and P3 (2071-2100) under Representative Concentration Pathways (RCPs) 4.5 and 8.5 scenarios. Results indicated annual precipitation decreasing under RCP4.5 and RCP8.5 scenarios changes in green and blue water varying from 16.22 to -14.10% (CNRM,P3) under RCP4.5 and from 38.25 to -22.57% under RCP8.5 with reference to baseline scenario. This study established the sensitivity of UNB to future climatic changes employing projections from CMIP5 climate models and exhibited an approach that applied multiple climate model outputs to estimate potential change over the river basin.
机译:气候变化改变了全世界的水文和气候参数,而气候预测表明这种变化将继续下去。为了维持可持续发展并获得水的可获得性知识,必须将气候预测与水文模型结合起来。在这项研究中,将耦合模型比较项目第5阶段(CMIP5)的气候模型输出与经过校准的水文模型,土壤和水评估工具(SWAT)集成在一起,以评估气候变化对上纳尔默达河盆地绿色和蓝色水的潜在影响(UNB)。因此,从24个CMIP5气候模型中选择了前三个代表性气候模型(MIROC5,CNRM-CM5和MPI-ESM-LR)进行水文模拟。通过分布图对选定的代表性气候模型输出进行偏差校正,以消除系统偏差校正。多站点模型校准方法表明,纳什·苏特克利夫效率(NSE)和测定系数(R-2)分别对于校准(1978-1995)为0.77和0.76,对于验证(1996-2005)分别为0.73和0.70。在基准浓度路径(RCP)4.5和8.5情景下,针对基准期(1970-2000)和三个未来期P1(2011-2040),P2(2041-2070)和P3(2071-2100)运行校准模型。结果表明,在RCP4.5和RCP8.5情景下,年降水量减少,绿水和蓝水的变化在RCP4.5下为16.22%至-14.10%(CNRM,P3),而在RCP8.5下为38.25%至-22.57%,参考基线情况。这项研究利用CMIP5气候模式的预测建立了UNB对未来气候变化的敏感性,并展示了一种应用多种气候模式输出来估算流域潜在变化的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号