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| Titel |
Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
| VerfasserIn |
V. J. Cortes Arevalo, M. Charrière, G. Bossi, S. Frigerio, L. Schenato, T. Bogaard, C. Bianchizza, A. Pasuto, S. Sterlacchini |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 10 ; Nr. 14, no. 10 (2014-10-06), S.2681-2698 |
| Datensatznummer |
250118706
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| Publikation (Nr.) |
 copernicus.org/nhess-14-2681-2014.pdf |
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| Zusammenfassung |
| Volunteers have been trained to perform first-level inspections of hydraulic
structures within campaigns promoted by civil protection of Friuli Venezia
Giulia (Italy). Two inspection forms and a learning session were prepared to
standardize data collection on the functional status of bridges and check
dams. In all, 11 technicians and 25 volunteers inspected a maximum of six structures in
Pontebba, a mountain community within the Fella Basin. Volunteers included civil-protection volunteers, geosciences and social sciences students. Some
participants carried out the inspection without attending the learning
session. Thus, we used the mode of technicians in the learning group to
distinguish accuracy levels between volunteers and technicians. Data quality
was assessed by their accuracy, precision and completeness. We assigned
ordinal scores to the rating scales in order to get an indication of the
structure status. We also considered performance and feedback of participants
to identify corrective actions in survey procedures. Results showed that
volunteers could perform comparably to technicians, but only with a given range in
precision. However, a completeness ratio (question/parameter) was still
needed any time volunteers used unspecified options. Then, volunteers' ratings
could be considered as preliminary assessments without replacing other
procedures. Future research should consider advantages of mobile applications
for data-collection methods. |
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