发展中国家非收入用水的主要驱动因素:来自巴西多层次研究的见解

Cláudia Orsini Machado de Sousa , Rafael de Freitas Souza , Nuno Manoel Martins Dias Fouto
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引用次数: 0

摘要

水资源的压力越来越大,因此更需要提高供水效率,特别是尽量减少水的损失。非收入水(NRW)仍然是巴西的一个关键问题,其高损失率影响了财政可持续性和水安全。本研究采用两级层次线性模型(HLM2)分析了2017年至2021年巴西310个城市的北威州司机。根据以前的文献,我们选择了可能影响该国水损失的十个因素,我们的结果表明,其中只有四个因素具有统计显著性:人口规模、住宅消费者份额、网络长度和公用事业所有权。城市人口较多和分销网络较长的城市表现出较高的NRW水平,而较高的住宅消费者份额与较低的NRW相关。此外,与公共事业相比,私人公用事业的水损失量更低,这可能是由于更有力的效率激励措施。这些发现突出表明,影响巴西北部西北地区的因素不同于基于发达国家的研究中通常报道的那些因素。因此,旨在减少NRW的政策必须考虑区域的具体情况,而不是仅仅依靠通常指发达国家的国际基准。本研究为支持有针对性的干预措施提供了经验证据,帮助水务公司和政策制定者制定更有效的减少北威水的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key drivers of non-revenue water in developing countries: Insights from a multilevel study in Brazil
The increasing pressure on water resources has intensified the need to improve water supply efficiency, particularly by minimizing water loss. Non-revenue water (NRW) remains a critical issue in Brazil, with high loss levels impacting both financial sustainability and water security. This study employs a two-level hierarchical linear model (HLM2) to analyze NRW drivers in 310 Brazilian municipalities from 2017 to 2021. Ten factors that could influence water loss in the country were selected based on previous literature, and our results indicate that only four of them were statistically significant: population size, share of residential consumers, network length, and utility ownership. Municipalities with larger urban populations and longer distribution networks exhibited higher NRW levels, while a higher share of residential consumers correlated with lower NRW. Additionally, private utilities demonstrated lower water losses compared to public ones, likely due to stronger efficiency incentives. These findings highlight that the factors influencing NRW in Brazil differ from those commonly reported in studies based on developed countries. Therefore, policies designed to reduce NRW must consider regional specificities rather than relying solely on international benchmarks, which usually refer to developed countries. This study provides empirical evidence to support targeted interventions, helping water utilities and policymakers develop more effective NRW reduction strategies.
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