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Many nations have implemented policies to improve drinking water quality, but challenges arise from overexploited or contaminated groundwater-based sources. This paper aims at examining the aspects of water scarcity, security, and sustainability within an Indian village context. We attempt to compare two rural water supply sources in Nagla Chandi village in Uttar Pradesh, India: (a) untreated groundwater sourced from bore wells and (b) treated water from a reverse osmosis (RO) plant. We observed that subterranean minerals are the primary pollutants of unprocessed water drawn from borewells, which form the main source of drinking water. Even though water from the RO plant meets all the quality parameters of potability, frequent breakdowns of the plant due to improper management force the villagers to drink untreated water from the dug wells fitted with hand pumps, affecting their health. We also found a high incidence of water-borne diseases. The case analysis suggests enhancing village water treatment projects by training local artisans in system repair and increasing Panchayat staff to include trained engineers for technical advice and maintenance. The paper proposes reducing water testing cost in rural areas to make it possible Q4 for local organizations to regularly assess water quality and implement corrective actions. [ABSTRACT FROM AUTHOR]

In the present paper farmers’ resilience index (FRI) was constructed considering the natural disaster using five dimensions including physical, social, economic, human and natural. The scale is administered to the 240 paddy farmers in two coastal districts of Andhra Pradesh. Principal component analysis was performed in order to fix the weightage for each variable. About (39.58%) of farmers are resilient to natural disasters with the highest resilience score for financial capital (0.641) and natural capital with less resilience score (0.401). Confirmatory factor analysis (CFA) was performed to determine how well the generated model of the scale fits the data. The structural equation modelling (SEM) path diagram was developed based on the conceptual model, which uses resilience as a latent variable. The SEM analysis revealed that four dimensions of capital positively affect farmers’ resilience except for the human capital which negatively affects resilience. To reduce the effects of natural catastrophes in the upcoming years, the adaptation strategies from the highly resilient places can be examined and put into practice in the less resilient areas. It is imperative that development programmes at all levels incorporate climate awareness and stakeholder capacity building. [ABSTRACT FROM AUTHOR]