Detection of climate change impacts on streamflow in Southeast Asia

使用日本气象研究所等开发的几种GCM输出，使用分布式河流流量路由模型与运动学波流近似预测东南亚地区的径流。预测的径流进行了空间分析和统计，并与不断变化的径流状况集水区进行检测。结果表明，伊洛瓦底江流域的年平均流量和年最大流量都有明显的增加。未来的灌溉用水需求在泰国也估计的土地表面模型加上农作物生长计划使用MRI GCM输出。

Using several GCM outputs developed by the Meteorological Research Institute in Japan and so on, streamflow in the Southeast Asian region was projected using a distributed river flow routing model with the kinematic wave flow approximation. The projected streamflow was analyzed spatially and statistically, and catchments with changing streamflow regime were detected. It was found that the annual mean flow and the annual maximum flow at the Irrawaddy River basin showed significant increase. Future irrigation water demand in Thailand was also estimated by a land surface model coupled with a crop growth scheme using MRI GCM output.