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首页> 外文期刊>Stochastic environmental research and risk assessment >Regional response of runoff in CMIP5 multi-model climate projections of Jiangsu Province, China
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Regional response of runoff in CMIP5 multi-model climate projections of Jiangsu Province, China

机译:江苏省CMIP5多模式气候预测中径流的区域响应

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摘要

Surface runoff is a major water resource component and its spatial and temporal variations significantly impact on regional socio-economic development. In this study, changes to surface runoff in Jiangsu Province, China, were simulated using the variable infiltration capacity (VIC) model for the period 2011-2040, using input data from five Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models and three different Representative Concentration Pathway (RCP) scenarios. In general, annual mean precipitation under the five models and three scenarios showed a fluctuating upward trend, while annual mean temperatures were projected to increase by up to 1.34 A degrees C, as compared with the reference period (1970-1999). Monthly mean runoff depths were generally predicted to increase, with the most significant increases occurring in December. Increasing runoff depths were highest under the RCP8.5 emission scenario and lowest under RCP4.5. The results of this study provide an important reference for policymakers planning for the future water resources in Jiangsu Province. Furthermore, we conducted a case study with the VIC model and it showed high consistency with gauges and provides a new reference for the studies of other plain regions.
机译:地表径流是水资源的主要组成部分,其时空变化对区域社会经济发展具有重大影响。在这项研究中,使用变量耦合能力比较项目阶段5(CMIP5)和三个模型的输入数据,使用可变渗透能力(VIC)模型模拟​​了中国江苏省2011-2040年的地表径流变化。不同的代表浓度途径(RCP)方案。一般而言,在五个模式和三种情况下的年平均降水量呈现出波动的上升趋势,而与参考期(1970-1999年)相比,年平均气温预计将增加高达1.34 A摄氏度。通常预计月平均径流深度会增加,最显着的增加发生在12月。在RCP8.5排放情景下,径流深度增加最高,而在RCP4.5之下,径流深度最小。研究结果为决策者规划江苏省未来水资源提供了重要参考。此外,我们对VIC模型进行了案例研究,结果表明该模型与量规具有高度一致性,并为其他平原地区的研究提供了新的参考。

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