Alamdari Nasrin, Sample David J, Liu Jia, Ross Andrew
Department of Biological System Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, United States.
Hampton Roads Agricultural Research and Extension Center, Virginia Polytechnic and State University, Virginia Beach, VA 23455, United States.
Data Brief. 2018 Mar 11;18:441-447. doi: 10.1016/j.dib.2018.03.024. eCollection 2018 Jun.
The data presented in this article are related to the research article entitled "Assessing climate change impacts on the reliability of rainwater harvesting systems" (Alamdari et al., 2018) [1]. This article evaluated the water supply and runoff capture reliability of rainwater harvesting (RWH) systems for locations across the U.S. for historical and projected climate conditions. Hypothetical RWH systems with varying storage volumes, rooftop catchment areas, irrigated areas, and indoor wSater demand based upon population from selected locations were simulated for historical (1971-1998) and projected (2041-2068) periods, the latter dataset was developed using dynamic downscaling of North American Regional Climate Change (CC) Assessment Program (NARCCAP). A computational model, the Rainwater Analysis and Simulation Program (RASP), was used to compute RWH performance with respect to the reliability of water supply and runoff capture. The reliability of water supply was defined as the proportion of demands that are met; and the reliability of runoff capture was defined as the amount stored and reused, but not spilled. A series of contour plots using the four design variables and the reliability metrics were developed for historical and projected conditions. Frequency analysis was also used to characterize the long-term behavior of rainfall and dry duration at each location. The full data set is made publicly available to enable critical or extended analysis of this work.
本文所呈现的数据与题为《评估气候变化对雨水收集系统可靠性的影响》(阿拉姆达里等人,2018年)[1]的研究论文相关。本文评估了美国各地雨水收集(RWH)系统在历史气候条件和预测气候条件下的供水和径流收集可靠性。针对历史时期(1971 - 1998年)和预测时期(2041 - 2068年),模拟了基于选定地点人口的具有不同存储量、屋顶集水区面积、灌溉面积和室内用水需求的假设性雨水收集系统,后一个数据集是使用北美区域气候变化(CC)评估计划(NARCCAP)的动态降尺度方法开发的。一个计算模型,即雨水分析与模拟程序(RASP),用于计算雨水收集在供水可靠性和径流收集方面的性能。供水可靠性定义为满足的需求比例;径流收集可靠性定义为存储和再利用但未溢出的水量。针对历史和预测条件,使用四个设计变量和可靠性指标绘制了一系列等高线图。频率分析还用于描述每个地点降雨和干旱持续时间的长期特征。完整的数据集已公开提供,以便对这项工作进行批判性或扩展性分析。