探讨加德满都谷地城乡供水系统和灾后情景背景下的家庭复原力指标

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY
Namita Poudel, Rajib Shaw
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引用次数: 0

摘要

水资源利用效率提高了9%,但水资源紧张和短缺仍然是紧迫的全球挑战。此外,供水系统供需之间前所未有的中断加剧了这一问题。在这种情况下,家庭在与有关当局就管道泄漏、水系统灾难中断等紧急情况进行沟通方面发挥着至关重要的作用。然而,如果家庭不愿意分享水或对系统不满意,可能会产生冲突,即使在非危机时期也会导致水资源短缺。虽然弹性水基础设施得到认可,但灾害、抗议、重建和未来水项目潜在劳动力短缺导致的流离失所凸显了了解家庭弹性的重要性。因此,本研究旨在确定哪些家庭指标有助于社区应对灾害并支持水系统,同时评估需求区和供应区目前的家庭状况。使用两种工具收集数据:四组焦点小组讨论和对来自尼泊尔加德满都谷地(城市和近郊)和Melamchi(农村地区)的438名受访者进行的住户调查,这些调查分为八个组。调查结果显示,灾后背景下,PEISE框架下的31项指标(物理、经济、制度、社会和环境)受到影响。此外,一些关键指标,如影响收入的城市水量减少,以及由于洪水导致生产地区劳动力短缺而造成的房屋损坏和流离失所,都说明了灾后流离失所和破坏如何破坏了维持供水系统所必需的当地支持机制。总体而言,农村地区被确定为低恢复力区,强调需要实施与其他城市类似的利益分享计划(水交换-基于需求的支持),如水利益分享和生态系统服务付费(PES)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring household resilience indicators in the context of urban-rural linked water systems and post-disaster scenarios in Kathmandu valley
Water use efficiency has increased by 9 %, yet water stress and scarcity remain pressing global challenges. Additionally, unprecedented disruptions in water systems between supply and demand exacerbate the issue. In this context, households play a crucial role in communicating with relevant authorities about emergencies such as pipe leaks, disaster disruption to the water system, etc. However, if households are unwilling to share water or dissatisfied with the system, conflicts may arise, leading to water scarcity even during non-crisis periods. Although resilient water infrastructure is recognized, displacement due to disasters, protests, reconstruction, and potential labor shortages for future water projects underscore the importance of understanding household resilience. Therefore, this research aims to identify which household indicators help communities cope with disasters and support the water system, in addition to assessing the current household status in both demand and supply zones. Data were collected using two tools: focus group discussions with four groups and household surveys conducted with 438 respondents from Kathmandu valley, Nepal (urban, peri‑urban), and Melamchi (rural areas), divided into eight clusters. The findings revealed that 31 indicators under the PEISE framework (physical, economic, institutional, Social, and Environmental) are affected in the post-disaster context. In addition, critical indicators such as reduced water quantity in urban areas impacting revenue collection, and house damage and displacement due to flooding leading to labor shortages in production areas, illustrate how post-disaster displacement and damage undermine local support mechanisms essential for sustaining the water system. Overall, rural area is identified as low-resilience zone, highlighting the need for benefit-sharing programs (water- exchange- need based support) similar to those implemented in other cities, such as water benefit-sharing and payment for ecosystem services (PES).
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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