Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments
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 che...
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2014-10-01
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doaj-db73902ecb604d01a2bde492724e99f22020-11-24T22:40:46ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812014-10-0114102681269810.5194/nhess-14-2681-2014Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchmentsV. J. Cortes Arevalo0M. Charrière1G. Bossi2S. Frigerio3L. Schenato4T. Bogaard5C. Bianchizza6A. Pasuto7S. Sterlacchini8Delft University of Technology, Delft, the NetherlandsDelft University of Technology, Delft, the NetherlandsItalian National Research Council, Institute for Geo-hydrological Protection, CNR-IRPI, Padova, ItalyItalian National Research Council, Institute for Geo-hydrological Protection, CNR-IRPI, Padova, ItalyItalian National Research Council, Institute for Geo-hydrological Protection, CNR-IRPI, Padova, ItalyDelft University of Technology, Delft, the NetherlandsInstitute of International Sociology Gorizia, ISIG, Gorizia, ItalyItalian National Research Council, Institute for Geo-hydrological Protection, CNR-IRPI, Padova, ItalyItalian National Research Council, Institute for the Dynamic of Environmental Processes, CNR-IDPA, Milan, ItalyVolunteers 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.http://www.nat-hazards-earth-syst-sci.net/14/2681/2014/nhess-14-2681-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
V. J. Cortes Arevalo M. Charrière G. Bossi S. Frigerio L. Schenato T. Bogaard C. Bianchizza A. Pasuto S. Sterlacchini |
spellingShingle |
V. J. Cortes Arevalo M. Charrière G. Bossi S. Frigerio L. Schenato T. Bogaard C. Bianchizza A. Pasuto S. Sterlacchini Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments Natural Hazards and Earth System Sciences |
author_facet |
V. J. Cortes Arevalo M. Charrière G. Bossi S. Frigerio L. Schenato T. Bogaard C. Bianchizza A. Pasuto S. Sterlacchini |
author_sort |
V. J. Cortes Arevalo |
title |
Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
title_short |
Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
title_full |
Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
title_fullStr |
Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
title_full_unstemmed |
Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
title_sort |
evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments |
publisher |
Copernicus Publications |
series |
Natural Hazards and Earth System Sciences |
issn |
1561-8633 1684-9981 |
publishDate |
2014-10-01 |
description |
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. |
url |
http://www.nat-hazards-earth-syst-sci.net/14/2681/2014/nhess-14-2681-2014.pdf |
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