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使用短期降雨时间序列来评估考虑到气候变化的雨水收集系统的可行性分析
Weilun Chen1, Zhonghui Liu2, Xindong Wei3
1School of Environment and Spatial Informatics, China University of Mining & Technology, Xuzhou 221116, China; School of International Education, Jilin Jianzhu University, Changchun 130118, China.
The Science of the total environment
|August 23, 2024
概括
使用最近的降雨数据可以改善气候变化下的雨水收集系统 (RWH) 评估. 这项研究发现,短期的历史数据提供了可靠的RWH性能评估,优化了系统设计.
科学领域:
- 环境工程 环境工程
- 适应气候变化 适应气候变化
- 水资源管理 水资源管理
背景情况:
- 目前的雨水收集系统 (RWH) 评估主要使用长期降雨数据.
- 在气候变化下的RWH绩效评估中使用最近的短期历史降雨数据的有效性仍未得到充分研究.
研究的目的:
- 评估使用最近的短期历史降雨数据用于RWH绩效评估的可行性.
- 确定最佳的降雨时间序列长度,以评估考虑到气候变化影响的RWH性能.
- 引入供应压力指数 (SPI) 以在最佳时间序列中描述降雨模式.
主要方法:
- 对日本16个城市的住宅建筑的RWH性能进行了评估,使用不同长度的历史和预测降雨时间序列.
- 使用相似性指数来确定持续评估结果所需的最低降雨时间序列长度.
- 供应压力指数 (SPI) 的计算是为了总结确定最佳时间序列的降雨特征.
主要成果:
- 对于RWH评估所需的最低降雨时间序列长度从1年到30年不等,受非饮用水需求和地理位置的影响.
- 使用最近降雨数据的评估在气候变化场景下提供了更可靠的RWH性能评估.
- 最佳降雨时间系列显示SPI在5.37和17.87毫米/日之间,反映了当地降雨模式.
结论:
- 最近的短期历史降雨数据是评估和设计气候变化下的雨水收集系统的可行和可靠方法.
- 这些发现支持转向利用更准确的降雨数据进行更准确的RWH系统规划和适应.
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