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National rural drinking water monitoring: progress and challenges with India's IMIS database

机译：国家农村饮用水监测：印度综管信息系统数据库的进展和挑战

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摘要

National drinking water programs seek to address monitoring challenges that include self-reporting, data sampling, data consistency and quality, and sufficient frequency to assess the sustainability of water systems. India stands out for its comprehensive rural water database known as Integrated Management Information System (IMIS), which conducts annual monitoring of drinking water coverage, water quality, and related program components from the habitation level to the district, state, and national levels. The objective of this paper is to evaluate IMIS as a national rural water supply monitoring platform. This is important because IMIS is the official government database for rural water in India, and it is used to allocate resources and track the results of government policies. After putting India's IMIS database in an international context, the paper describes its detailed structure and content. It then illustrates the geographic patterns of water supply and water quality that IMIS can present, as well as data analysis issues that were identified. In particular, the fifth section of the paper identifies limitations on the use of state-level data for explanatory regression analysis. These limitations lead to recommendations for improving data analysis to support national rural water monitoring and evaluation, along with strategic approaches to data quality assurance, data access, and database functionality.
机译：国家饮用水计划试图应对监测挑战，包括自我报告，数据采样，数据一致性和质量以及足够的频率以评估水系统的可持续性。印度以其称为综合管理信息系统（IMIS）的综合农村水数据库而著称，该数据库对居住区，地区，州和国家级的饮用水覆盖率，水质以及相关计划组成部分进行年度监控。本文的目的是将综合管理信息系统评价为全国农村供水监测平台。这很重要，因为综管系统是印度农村水的官方政府数据库，并且用于分配资源和跟踪政府政策的结果。在将印度的综管信息系统数据库置于国际背景下之后，本文描述了其详细的结构和内容。然后说明了综管系统可提供的供水和水质的地理格局，以及已查明的数据分析问题。特别是，本文的第五部分确定了使用状态数据进行解释性回归分析的局限性。这些局限性导致提出了改进数据分析以支持国家农村水监测和评估的建议，以及数据质量保证，数据访问和数据库功能的战略方法。

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