Economic feasibility assessment and parameter sensitivity analysis of rainwater harvesting systems in different climatic zones of China

Chonghua Xue , Feng Xiong , Junqi Li , Xiaojing Li , Jing Li , Yu Wang , Xiangyu Li , Ziyu Cui
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Abstract

Rainwater is an important non-traditional water resource, and the economic benefits of rainwater harvesting and utilization vary considerably across different climatic conditions. This paper constructs typical rainwater harvesting (RWH) models based on road watering and green space watering reuse pathways, as well as typical flat water year and cistern emptying time in three distinct climate zones of China: Urumqi (located in a semi-arid area), Baoding (located in a semi-humid area), and Shantou (located in a humid area). Using the Infoworks ICM model, long-term simulations (30 years) were conducted to evaluate the economic advantages of rainwater utilization across these climate zones. The Particle Swarm Optimization (PSO) was employed to optimize the cistern volume by integrating Net Present Value (NPV) and Benefit Cost Ratio (BCR). Additionally, multiple nonlinear regression analyses were employed to quantify the relationship between various catchment subsurfaces and the optimal reservoir volume. Sensitivity analyses, including Sobol sensitivity analysis, were performed for parameters such as subsurface characteristics, water price, discount rate, and number of days for emptying the impoundment. The study results indicated that the change curves of NPV and BCR in all three cities exhibit an increasing and then decreasing trend with the increase of reservoir volume under different reservoir setup scenarios. The optimal volume of the reservoir could be articulated through the fitting equation that relates the green space ratio to the road ratio. The discount rate and water price significantly impacted the optimal volume of storage tanks, with the sensitivity of the parameter of the number of days of emptying of the storage tanks to the optimal volume being greater in Shantou, a city in a high humid area. Conversely, in Urumqi, a semi-arid area, the variation of the parameter of greenland rate had a greater sensitivity to the volume of storage tanks. These findings provide valuable insights for the design and implementation of rainwater harvesting and utilization systems, offering practical guidance for sustainable urban development.
中国不同气候带雨水收集系统经济可行性评价及参数敏感性分析
雨水是一种重要的非传统水资源,不同气候条件下雨水收集和利用的经济效益差异很大。本文以乌鲁木齐(半干旱区)、保定(半湿润区)和汕头(湿润区)三个不同气候区为研究对象,构建了基于道路灌溉和绿地灌溉回用路径的典型雨水收集(RWH)模型,以及典型的平水年和蓄水池排空时间。利用Infoworks ICM模型,进行了长期模拟(30年),以评估这些气候带雨水利用的经济优势。采用粒子群算法(PSO)综合净现值(NPV)和效益成本比(BCR)对蓄水池容积进行优化。此外,采用多元非线性回归分析量化了不同集水区地下与最优蓄水量之间的关系。敏感性分析,包括Sobol敏感性分析,对地下特征、水价、贴现率和排空蓄水天数等参数进行了敏感性分析。研究结果表明:在不同的建库方案下,3个城市的NPV和BCR随库容的增加均呈现先增大后减小的变化趋势;水库的最佳容积可以通过将绿地比与道路比联系起来的拟合方程来表达。折扣率和水价对储罐最优容积有显著影响,其中高湿地区汕头储罐排空天数参数对最优容积的敏感性更大。相反,在半干旱区乌鲁木齐,绿地率参数的变化对储罐容积的敏感性更大。这些发现为雨水收集和利用系统的设计和实施提供了有价值的见解,为城市可持续发展提供了实践指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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