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首页> 外文期刊>Journal of the Meteorological Society of Japan >River Discharge Projection under Climate Change in the Chao Phraya River Basin, Thailand, Using the MRI-GCM3.1S Dataset
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River Discharge Projection under Climate Change in the Chao Phraya River Basin, Thailand, Using the MRI-GCM3.1S Dataset

机译:使用MRI-GCM3.1S数据集的泰国湄南河流域气候变化下的河流流量预测

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摘要

The impact of climate change on river flow in the Chao Phraya River basin in Thailand is analyzed by feeding future runoff projection data into a distributed flow routing model. The projection data used consists of daily runoff generation, which is downscaled into hourly data, by assuming the temporal pattern is proportional to GCM generated hourly precipitation. The GCM dataset used is a 20 km spatial resolution general circulation model (MRI-AGCM3.1S) developed by the Meteorological Research Institute, Japan Meteorological Agency, for the present climate experiment (1979-2003), the near future climate experiment (2015-2039), and the future climate experiment (2075-2099). The main findings of the river discharge projections are as follows: 1) clear changes in hourly flood peak discharge, daily drought discharge, and monthly discharge were detected; 2) for each discharge, the degree of change differed by location; 3) the changes appeared in the near future climate experiment and became clearer in the future climate experiment; and 4) a significant decrease in discharge was detected at the Pasak River basin in October.
机译:通过将未来径流预测数据输入到分布式径流模型中,分析了气候变化对泰国湄南河流域河流流量的影响。假设时间模式与GCM产生的每小时降水成正比,则所使用的投影数据包括每日径流生成,并将其缩减为每小时数据。使用的GCM数据集是由日本气象厅气象研究所开发的20 km空间分辨率总环流模型(MRI-AGCM3.1S),用于当前的气候实验(1979-2003),近期的气候实验(2015- 2039)和未来的气候实验(2075-2099)。河流流量预测的主要发现如下:1)每小时洪峰流量,每日干旱流量和每月流量的变化明显。 2)每次放电的变化程度因位置而异; 3)这些变化出现在不久的将来的气候实验中,并且在未来的气候实验中变得更加清晰; 4)十月份帕萨克河流域的排放量明显减少。

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