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Assessment of spatiotemporal variations in the fluvial wash-load component in the 21st century with regard to GCM climate change scenarios

机译:评估21世纪GCM气候变化情景中河流冲刷负荷分量的时空变化

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For stream water, in which a relationship exists between wash-load concentration and discharge, an estimate of fine-sediment delivery may be obtained from a traditional fluvial wash-load rating curve. Here, we demonstrate that the remaining wash-load material load can be estimated from a traditional empirical principle on a nationwide scale. The traditional technique was applied to stream water for the whole of Japan. Four typical GCMs were selected from the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble to provide the driving fields for the following regional climate models to assess the wash-load component based on rating curves: the Model for Interdisciplinary Research on Climate (MIROC), the Meteorological Research Institute Atmospheric General Circulation Model (MRI-GCM), the Hadley Centre Global Environment Model (HadGEM) and the Geophysical Fluid Dynamics Laboratory (GFDL) climate model. The simulations consisted of an ensemble, including multiple physics configurations and different Representative Concentration Pathways (RCP2.6, RCP4.5 and RCP8.5), which was used to produce monthly datasets for the whole country of Japan. The impacts of future climate changes on fluvial wash load in Japanese stream water were based on the balance of changes in hydrological factors. The annual and seasonal variations of the fluvial wash load were assessed from the result of the ensemble analysis in consideration of the Greenhouse Gas (GHG) emission scenarios. The determined results for the amount of wash load increase range from approximately 20 to 110% in the 2040s, especially along part of the Pacific Ocean and the Sea of Japan regions. In the 2090s, the amount of wash load is projected to increase by more than 50% over the whole of Japan. The assessment indicates that seasonal variation is particularly important because the rainy and typhoon seasons, which include extreme events, are the dominant seasons. Because fluvial wash-load-component turbidity appears to vary exponentially, this phenomenon has an impact on the management of social capital, such as drinking water services. Prediction of the impacts of future climate change on fluvial wash-load sediment is crucial for effective environmental planning and the management of social capital to adapt to the next century. Capsule: We demonstrate that simulations comprise an ensemble of factors, including multiple physical configurations, associated with the wash-load component for the whole of Japan.
机译:对于洗涤负荷浓度与排放之间存在关系的溪流水,可以从传统的河流洗涤负荷额定值曲线获得细泥沙输送量的估算值。在这里,我们证明了可以根据传统的经验原理在全国范围内估算剩余的洗涤负荷材料负荷。传统技术被应用到整个日本的溪流中。从耦合模型比对项目第5阶段(CMIP5)集合中选择了四种典型的GCM,以提供以下区域气候模型的驱动力,以基于评级曲线评估洗涤负荷分量:气候跨学科研究模型(MIROC) ,气象研究所大气总循环模型(MRI-GCM),哈德利中心全球环境模型(HadGEM)和地球物理流体动力学实验室(GFDL)气候模型。模拟包括一个整体,包括多种物理配置和不同的代表浓度路径(RCP2.6,RCP4.5和RCP8.5),用于生成日本全国的月度数据集。未来气候变化对日本溪水冲刷负荷的影响基于水文因素变化的平衡。考虑到温室气体(GHG)排放情景,从集合分析的结果评估了河流冲刷负荷的年度和季节性变化。在2040年代,洗涤负荷增加量的确定结果约为20%至110%,特别是在太平洋和日本海地区的部分地区。到2090年代,整个日本的洗涤量预计将增加50%以上。评估表明,季节变化尤为重要,因为包括极端事件在内的雨季和台风季节是主要季节。由于河流冲洗负荷成分的浊度似乎呈指数变化,因此这种现象对社会资本的管理(如饮用水服务)产生了影响。预测未来气候变化对河流冲刷沉积物的影响,对于有效的环境规划和适应下一世纪的社会资本管理至关重要。胶囊:我们证明模拟包含了与整个日本的洗涤负荷成分相关的多种因素,包括多种物理配置。

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