Co creating hydrological knowledge through community led continuous monitoring in data scarce watersheds

Hydrological interventions in hard rock, agriculture dominated landscapes often produce highly variable outcomes that are difficult to explain using conventional project bound thumb rule based monitoring and evaluation approaches. This study presents a co created, community led continuous monitoring framework implemented in a semi arid watershed in Telangana, India, aimed at generating process level hydrological evidence while strengthening local learning and adaptive water resources management. The monitoring system was jointly designed by researchers, implementing agencies, and trained Community Resource Persons, repositioning monitoring from a retrospective accountability exercise to an ongoing, field embedded learning process.

The framework integrates simple instruments such as rain gauges and staff gauges with selective use of sensors including pressure transducers, hand held soil moisture sensors, and flow meters to track rainfall, surface storage, groundwater recharge, soil moisture dynamics, and irrigation water use across supply side, soil moisture, and demand side interventions. Continuous time series data reveal how hydrological responses vary with landscape position, rainfall intensity, and moisture conditions, patterns that are typically obscured in one time surveys or endline evaluations. For example, monitoring of farm ponds and borewell recharge structures highlights contrasting recharge behaviours across ridge, mid slope, and valley settings, while plot scale soil moisture measurements demonstrate how agronomic practices like mulching influence infiltration and moisture persistence over time.

Beyond data generation, the co creation process actively involves Community Resource Persons and farmers in data interpretation through regular reflection and sense making sessions. This participatory analysis strengthens local understanding of hydrological processes, helps distinguish between storage, recharge, and demand management functions of interventions, and supports mid course corrections in design, siting, and complementary practices.

The study demonstrates that community led continuous monitoring can function simultaneously as a scientific method and a governance practice. When embedded within a co creation framework, it produces context specific hydrological evidence while fostering shared ownership of knowledge, offering a scalable pathway for adaptive water resources management in data scarce regions.