Use of Artificial Neural Networks as a Predictive Tool of Dissolved Oxygen Present in Surface Water Discharged in the Coastal Lagoon of the Mar Menor (Murcia, Spain)

Large high-speed railway (HSR) networks are planned for the near future to accomplish increased transport demand with low energy consumption. However, high-speed trains produce unknown avian mortality due to birds using the railway and being unable to avoid approaching trains. Safety and logistic difficulties have precluded until now mortality estimation in railways through carcass removal, but information technologies can overcome such problems. We present the results obtained with an experimental on-board system to record bird-train collisions composed by a frontal recording camera, a GPS navigation system and a data storage unit. An observer standing in the cabin behind the driver controlled the system and filled out a form with data of collisions and bird observations in front of the train. Photographs of the train front taken before and after each journey were used to improve the record of killed birds. Trains running the 321.7 km line between Madrid and Albacete (Spain) at speeds up to 250-300 km/h were equipped with the system during 66 journeys along a year, totaling approximately 14,700 km of effective recording. The review of videos produced 1,090 bird observations, 29.4% of them corresponding to birds crossing the infrastructure under the catenary and thus facing collision risk. Recordings also showed that 37.7% bird crossings were of animals resting on some element of the infrastructure moments before the train arrival, and that the flight initiation distance of birds (mean ± SD) was between 60±33 m (passerines) and 136±49 m (raptors). Mortality in the railway was estimated to be 60.5 birds/km year on a line section with …

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Resource type Text
Date of creation 2024-09-17
Date of last revision 2024-09-17
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Metadata identifier 1bfa9ba4-692a-5fac-b5d0-a824e7a69e08
Metadata language Spanish
Themes (NTI-RISP)
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ISO 19115 topic category biota
Other identifier DOI 10.3390/ijerph19084531
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INSPIRE identifier ESPMITECOIEPNBMMENOR415
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Geographic identifier Murcia
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"{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, 37.38]]]}"
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  1. Environmental Research and Public Health
  2. vol 19
  3. no 8
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Name of the dataset creator Garcia del Toro, E.M., Francisco Mateo, L., Garcia-Salgado, S., Isabel Mas-Lopez, M. y Angeles Quijano, M.
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Email of the dataset creator evamaria.garcia@upm.es
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