The Impacts of Social-Economic and Demographic Factors on the Level of Accuracy of Hydrological Data Collection in Ethiopia
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Date
2021-11
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A.A.U
Abstract
Water resources cannot be managed unless we know where they are, in what quality and
quantity, how they are likely to be in the foreseeable future. Data from hydrological
monitoring networks are used by public and private sectors for variety of different
applications. This paper assesses the value propositions of the collection of data, how it is
collected, how accurately it is collected and how observers can be incentivized. This study,
therefore, examines the existing institutional arrangements for hydrological monitoring and
the practices of other institutions. The main aim of the study was to assess what determinates
the observer’s level of accuracy, in Ethiopia. In order to achieve the objective of the study,
data were collected from 105 observers via telephone from the 9 sub basins and from citizen
science stations. The 4 accuracy cut-off points were determined seeing the 15 years data and
using different criteria. The collected data were analyzed descriptively and Econometric
model (Ordered Probit Model). The result from the study is interpreted by how different
variables affect the level of accuracy. Based on the findings, the study concludes and
recommends that MOWIE could fill their recurrent gaps and take a lot from IWMI’s
approach of citizen science. Hence these two institutes could in Conesus to work together on
a hybrid approach, in order to enhance the level of accuracy of data collected by river
gauging observers.
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Keywords
Observers, Sub Basin, Citizen Science, Rivers