# 为 pywr 场景读取 h5 DataFrame 转到集水节点 **Days Weir，** 单击 “编辑” **流量**
将弹出一个新窗口，选择 **PYWR\_参数** 然后点击 **保存**
粘贴以下配置，然后 **保存** \`\`json { “钥匙”：“Days Weir”， “情景”：“气候变化”， “类型”：“数据框参数”， “网址”：“泰晤士河\_流入\_pywr Scenarios.h5"， “index\_col”: “时间步”， “parse\_dates”：真 } ``` 它应该看起来像下图
重复集水区的程序 **降低\_泰晤士**使用以下配置 ``json { “关键”：“泰晤士河下游”， “情景”：“气候变化”， “类型”：“数据框参数”， “网址”：“泰晤士河_流入_pywr Scenarios.h5"， “index_col”: “时间步”， “parse_dates”：真 } ``` ## 结果 由于总模拟次数为四次，这是因为我们使用的是单个 **pywr 场景** 设置为 **气候变化**，其中包含 4 个场景。这些场景中的每一个都将单独运行，所有 4 次仿真的结果将显示每个输出结果，如下所示

模拟_流量（较低）_泰晤士河）

simulated_volume（新水库）

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