Unravelling water sustainability: a decentralised, data-driven model for water governance

揭示水资源可持续性:一种去中心化、数据驱动的水资源治理模式

阅读:1

Abstract

Despite global efforts, many communities fail to deliver water sustainability due to lack of context-sensitive solutions, community awareness, stakeholder coordination, and reliable ground-level data. To combat this, this study proposes a geo-enabled, participatory, digital governance platform—“Mera Gaon Hamara Jal”—for decentralised water management through empowered multi stakeholders. It integrates a multi-level, multi-stakeholder decision module (MMDM) that utilises 50 water sustainability indicators to perform evidence-based diagnostics. The module operationalises water security as a composite outcome, derived from two complementary dimensions—water poverty, which captures multidimensional deprivation across resources, access, use, capacity, and environment, and water quality, which reflects the physicochemical and microbial integrity of drinking-water sources. It uniquely integrates localised indicator development approaches, heterogeneous data collection approaches and data driven decision models to derive threshold-based risk classification, index computation, and composite risk scoring. Validated across ten rural communities (1,039 households), Alappad emerged as the highest-risk cluster (~ 37% risk). The platform identified spatial and thematic vulnerabilities, mapped hotspots, and enabled real-time decisions, context specific intervention, multi-stakeholder collaboration, and actionable strategies for water sustainability, contributing to advancing SDG 6.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。