Abstract

This study shows how community-based hydrometeorological monitoring programmes can provide reliable high-quality measurements comparable to formal observations. Time series of daily rainfall, river stage and groundwater levels obtained by a local community in Dangila woreda, northwest Ethiopia, have passed accepted quality control standards and have been statistically validated against formal sources. In a region of low-density and declining formal hydrometeorological monitoring networks, a situation shared by much of the developing world, community-based monitoring can fill the observational void providing improved spatial and temporal characterisation of rainfall, river flow and groundwater levels. Such time series data are invaluable in water resource assessment and management, particularly where, as shown here, gridded rainfall datasets provide gross under or over estimations of rainfall and where groundwater level data are non-existent. Discussions with the local community during workshops held at the setup of the monitoring programme and since have demonstrated that the community have become engaged in the project and have benefited from a greater hydrological knowledge and sense of ownership of their resources. This increased understanding and empowerment is at the relevant scale required for effective community-based participatory management of shallow groundwater and river catchments.

Highlights

  • Continuous time series of rainfall, river flow and groundwater level vary in their availability

  • Satellite and reanalysis rainfall products are often promoted as the solution to low‐density gauge networks, the greatest accuracy of such products is achieved in areas with abundant ground observation data to aid calibration (Dinku et al, 2008; Fekete et al, 2004; Symeonakis et al, 2009)

  • Buytaert et al (2014) present case studies detailing the benefits of community involvement in hydrological issues from Peru; identifying the hydrological impacts of land use change on ecosystems in remote upland areas beyond the range of formal monitoring networks, from Ethiopia; engaging farmers to rehabilitate gullies following soil erosion caused by poorly implemented land management practices, from Nepal; where communities have taken the lead in water sharing arrangements in an arid region, and from Kyrgyzstan; where water users associations (WUAs) are being set up who are installing monitoring schemes to replace those which died out at the end of the Soviet period

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Summary

Introduction

Continuous time series of rainfall, river flow and groundwater level vary in their availability. The majority of the literature presenting community‐based monitoring programmes has sought to detail the benefits brought to the community though few (if any) papers have attempted to quantitatively validate the collected data in a statistical manner akin to the abundant literature validating remote sensing products against ground observations. It will be determined here whether community‐based monitoring can provide data which can be satisfactorily validated against formal sources to provide improved spatial and temporal resolution, and whether it can supply reliable hydrogeological data where there are no formal alternatives. As formal monitoring networks continue to decline in many parts of the world, we determine if community‐based monitoring programmes can be a viable complement

Sub‐Saharan Africa context
Community‐based monitoring
AMGRAF research project
Sources of error
Quality control
Validation of hydrometeorological data
Behavioural differences in data
Formal ground observations
Community data
Gridded datasets
Performance of alternative rainfall sources
Formal observations
Performance of alternative river flow sources
Performance of alternative groundwater level sources
Qualitative and quantitative value of community‐based monitoring observations
Recommendations for ensuring quality data production
Wider application of community‐based hydrometeorological monitoring
Findings
Conclusions
10. References
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