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Selected Papers from the “2019 IEEE International Workshop on Metrology...
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Selected Papers from the “2019 IEEE International Workshop on Metrology for Agriculture and Forestry

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: closed (15 March 2020) | Viewed by 3544

Special Issue Editors

Prof. Giovanni Battista Chirico

E-Mail Website
Guest Editor
Giovanni Battista Chirico, University of Naples Federico II, Napoli, Italy
Interests: hydrology and hydraulic engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Eulalia Balestrieri

E-Mail Website
Guest Editor
Department of Engineering, University of Sannio, 82100 Benevento, Italy
Interests: digital signal processing in telecommunications; data converter characterization; medical measurement; standardization; unmanned aerial systems (UASs)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2019 IEEE International Workshop on Metrology for Agriculture and Forestry will be held in Portici, Italy, 24–26 October 2019. Authors of paper related to Geosciences presented at the Workshop are invited to submit extended versions of their work to the Special Issue for publication, highlighting the geoscientific approach of their research.

MetroAgriFor intends to create an active and stimulating forum where academics, researchers, and industry experts in the field of measurement and data processing techniques for Agriculture, Forestry, and Food can meet and share new advances and research results. Attention is given but not limited to new technologies for agriculture and forestry environment monitoring, food quality monitoring, metrology-assisted production in agriculture, forestry and food industries, sensors and associated signal conditioning for agriculture and forestry, calibration methods for electronic tests, and measurement for environmental and food applications.

Prof. Giovanni Battista Chirico
Dr. Eulalia Balestrieri
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sensor networking and integration
  • Approaches and tools for measuring food quality
  • Soil analysis, mapping, and monitoring
  • Crop analysis, mapping, and monitoring
  • Precision agriculture, forestry, and livestock farming
  • Measurements for agriculture, forestry, and environment
  • Agroclimatic measurements

Published Papers (1 paper)

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Research

17 pages, 6024 KiB  
Article
Evaluation of Flow Resistance Models Based on Field Experiments in a Partly Vegetated Reclamation Channel
by Giuseppe Francesco Cesare Lama, Alessandro Errico, Simona Francalanci, Luca Solari, Federico Preti and Giovanni Battista Chirico
Geosciences 2020, 10(2), 47; https://0-doi-org.brum.beds.ac.uk/10.3390/geosciences10020047 - 25 Jan 2020
Cited by 45 | Viewed by 3062
Abstract
This study presents a methodology for improving the efficiency of Baptist and Stone and Shen models in predicting the global water flow resistance of a reclamation channel partly vegetated by rigid and emergent riparian plants. The results of the two resistance models are [...] Read more.
This study presents a methodology for improving the efficiency of Baptist and Stone and Shen models in predicting the global water flow resistance of a reclamation channel partly vegetated by rigid and emergent riparian plants. The results of the two resistance models are compared with the measurements collected during an experimental campaign conducted in a reclamation channel colonized by Common reed (Phragmites australis (Cav.) Trin. ex Steud.). Experimental vegetative Chézy’s flow resistance coefficients have been retrieved from the analysis of instantaneous flow velocity measurements, acquired by means of a downlooking 3-component acoustic Doppler velocimeter (ADV) located at the channel upstream cross section, and by water level measurements obtained through four piezometers distributed along the reclamation channel. The main morphometrical vegetation features (i.e., stem diameters and heights, and bed surface density) have been measured at six cross sections of the vegetated reclamation channel. Following the theoretical assumptions of the divided channel method (DCM), three sub-sections have been delineated in the reference cross section to represent the impact of the partial vegetation cover on the cross sectional variability of the flow field, as observed with the ADV measurements. The global vegetative Chézy’s flow resistance coefficients have been then computed by combining each resistance model with four different composite cross section methods, respectively suggested by Colebatch, Horton, Pavlovskii, and Yen. The comparative analysis between the modeled and the experimental vegetative Chézy’s coefficients has been performed by computing the relative prediction error (εr, expressed in %) under two flow rate regimes. Stone and Shen model combined with the Horton composite cross section method provides vegetative Chézy’s coefficients with the lowest εr. Full article
(This article belongs to the Special Issue Selected Papers from the “2019 IEEE International Workshop on Metrology for Agriculture and Forestry)
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