Desta Wendesen Mekonin, Feyessa Fekadu Fufa, Debela Seifu Kebede
Department of Water Supply and Environmental Engineering, Faculty of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia.
Heliyon. 2022 Oct 26;8(11):e11257. doi: 10.1016/j.heliyon.2022.e11257. eCollection 2022 Nov.
Water loss has become increasingly critical as the severity of the water shortage situation has grown in recent decades. One of the options for reducing water loss in urban water distribution networks is pressure management. The study aimed to evaluate and optimize the existing water distribution system in the city. The proposed methodology is an interactive combination process between an optimization algorithm and WaterGEMS V8i to evaluate the performance of the distribution system. It was observed that, 43.80% of nodes (15-60 mHO), 5.10% of nodes (15 mHO), and 51.10% of nodes (>60 mHO) received pressure during peak hour demand. During low demand periods, only 4.4% of nodes (15-60 mHO) and 95.60% of nodes (>60 mHO) received pressure. The water age simulation results revealed that, 51.70% of the pipes were received water age <4.8 h, whereas the other 48.3% of the pipes were received water age <8.6 h during peak hour demand. During low demand periods, 45.58% of the pipes had a water age of less than 4.8 h while the other 54.42% of the pipes had water age of 4.8-20 h. The optimization result showed that after optimization, 4.4% of the nodes with optimum pressure increased to 75.18%, and 95.6% of the nodes decreased to 24.82%. Changing the size of the pipe based on the optimization result, and dividing an area into different pressure zones (adding more reservoirs at the far end of the distribution system) are all ways to improve or upgrade the distribution system.
随着近几十年来缺水形势的加剧,水资源流失问题日益严峻。城市供水网络中减少水资源流失的一种方法是压力管理。本研究旨在评估和优化该市现有的供水系统。所提出的方法是一种优化算法与WaterGEMS V8i之间的交互式组合过程,用于评估供水系统的性能。研究发现,在高峰时段需求时,43.80%的节点(15 - 60米水头)、5.10%的节点(15米水头)和51.10%的节点(>60米水头)获得了压力。在低需求时段,只有4.4%的节点(15 - 60米水头)和95.60%的节点(>60米水头)获得了压力。水龄模拟结果显示,在高峰时段需求时,51.70%的管道水龄<4.8小时,而其他48.3%的管道水龄<8.6小时。在低需求时段,45.58%的管道水龄小于4.8小时,而其他54.42%的管道水龄为4.8 - 20小时。优化结果表明,优化后,压力最优的节点从4.4%增加到75.18%,而压力过高的节点从95.6%下降到24.82%。根据优化结果改变管道尺寸,以及将区域划分为不同的压力区(在供水系统远端增加更多水库)都是改善或升级供水系统的方法。