The Impacts Of Social-economic And Demographic Factors On The Level Of Accuracy Of Hydrological Data Collection In Ethiopia

Water resources cannot be managed unless we know where they are, in what quality andrnquantity, how they are likely to be in the foreseeable future. Data from hydrologicalrnmonitoring networks are used by public and private sectors for variety of differentrnapplications. This paper assesses the value propositions of the collection of data, how it isrncollected, how accurately it is collected and how observers can be incentivized. This study,rntherefore, examines the existing institutional arrangements for hydrological monitoring andrnthe practices of other institutions. The main aim of the study was to assess what determinatesrnthe observer’s level of accuracy, in Ethiopia. In order to achieve the objective of the study,rndata were collected from 105 observers via telephone from the 9 sub basins and from citizenrnscience stations. The 4 accuracy cut-off points were determined seeing the 15 years data andrnusing different criteria. The collected data were analyzed descriptively and Econometricrnmodel (Ordered Probit Model). The result from the study is interpreted by how differentrnvariables affect the level of accuracy. Based on the findings, the study concludes andrnrecommends that MOWIE could fill their recurrent gaps and take a lot from IWMI’srnapproach of citizen science. Hence these two institutes could in Conesus to work together onrna hybrid approach, in order to enhance the level of accuracy of data collected by riverrngauging observers.

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