How to Measure the Severity of Collisions between Birds and Aircrafts? DOI
Alex Augusto Abreu Bovo, Fernanda Delborgo Abra, Cesar A. B. Medolago

et al.

SSRN Electronic Journal, Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 1, 2022

Birds pose a serious threat to aviation due collisions, leading both loss of life and severe economic losses, identify the hazardous species is crucial for mitigation. In here we calculate Relative Hazard Score (RHS) based on large online database from CENIPA (Aircraft Accident Investigation Prevention Center) fauna reports, 2011 2021. We present ranking investigate RHS relationship with birds' body mass group size. The was led by Black Vulture, Magnificent Frigatebirds Red-legged Seriema. Body size were related RHS. reinforce importance this aerodrome management, which added more detailed information can be successfully used decrease collisions. our results contribute better understand topic base future studies wildlife resulting in safer aviation.

Language: Английский

Biologically inspired herding of animal groups by robots DOI Creative Commons
Andrew J. King, Steven J. Portugal, Daniel Strömbom

et al.

Methods in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 14(2), P. 478 - 486

Published: Jan. 2, 2023

Abstract A single sheepdog can bring together and manoeuvre hundreds of sheep from one location to another. Engineers ecologists are fascinated by this herding because the potential it provides for ‘bio‐herding’: a biologically inspired animal groups robots. Although many algorithms have been proposed, most studied via simulation. There variety ecological problems where management wild is currently impossible, dangerous and/or costly humans manage directly, which may benefit bio‐herding solutions. Unmanned aerial vehicles (UAVs) now deliver significant benefits economy society. Here, we suggest use UAVs bio‐herding. Given their mobility speed, be used in wide range environments interact with at sea, over land air. We present roadmap achieving using pair UAVs. In our framework, UAV performs ‘surveillance’ groups, informing movement second that herds them. highlight promise flexibility paired approach while emphasising its practical ethical challenges. start describing types experiments data required understand individual collective responses Next, describe how develop appropriate algorithms. Finally, integration into software hardware architecture.

Language: Английский

Citations

24
Landscape features outside the airport exerted direct and indirect impact on bird community characteristics inside the airport DOI Creative Commons
Xunqiang Mo, Jianzhong Xu,

Mengxuan He

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03542 - e03542

Published: March 1, 2025

Language: Английский

Citations

0
Developing a Full Situational Awareness-Based Ecological and Digital Intelligence Management (FEDM) System for Bird (Wildlife) Strike Prevention at Civil Aviation Airports DOI
Yuchen Meng, Jianji Pan,

Jiliang Xu

et al.

Lecture notes in mechanical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 351 - 362

Published: Jan. 1, 2025

Language: Английский

Citations

0
Mapping the landscape of bird strike research: insights from a quantitative analysis DOI
Hanxi Wang,

Wenting Fu,

Norizham Abdul Razak

et al.

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 5, 2025

Language: Английский

Citations

0
Automatic detection of migrating soaring bird flocks using weather radars by deep learning DOI Creative Commons
Inbal Schekler,

Tamir Nave,

Ilan Shimshoni

et al.

Methods in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 14(8), P. 2084 - 2094

Published: June 28, 2023

Abstract The use of weather radars to detect and distinguish between different biological patterns greatly improves our understanding aeroecology its consequences for lives. Importantly, it allows us quantify passerine bird migration at scales. Yet, no algorithm soaring flocks in radar is available, precluding ability study this type over large spatial We developed the first automatic detecting birds, an important bio‐flow phenomenon involving many millions birds that travel across extents, with implications risk bird‐aircraft collisions. was a deep learning network semantic segmentation using U‐Net architecture. tested several models products image sequences flock movement identification. best model includes radial velocity product sequence two previous images. It identifies 93% were tagged by human on image, false discovery less than 20%. Large such as those detected pose serious flight safety civilian military transportation therefore application can substantially reduce bird‐strikes, leading reduced financial losses threats In addition, help overcome one main challenges automatically continuously wide scales without need equip tracking devices, unravelling abundance, timing, flyways, seasonal trends influences environmental conditions flocks.

Language: Английский

Citations

9
Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety DOI
Bart Kranstauber, Willem Bouten, Hans van Gasteren

et al.

Ecological Solutions and Evidence, Journal Year: 2022, Volume and Issue: 3(3)

Published: July 1, 2022

Abstract Accurate predictions of the abundance migrating birds are important to avoid aerial conflicts birds, for example, with aviation or wind power installations. Here we develop a predictive model, using bird migration intensity extracted from operational weather data. We compare baseline phenological models incorporating both local and remote conditions an ensemble approach. Single compared (average prediction top 10 models). The were evaluated by omitting single years our 10‐year dataset. In general, find that conditions, in addition seasonal diurnal dynamics, key accurate predictions. spring fall migratory seasons differ, respect selected environmental variables contribution model model. fall, accumulation migrants due strong headwinds is predictor migration. Because lower daily variation spring, performs better fall. contribute more than spring. Overall, approach produces outperforming specific models. therefore recommend be used settings such as flight planning reduce aircraft collisions during intense

Language: Английский

Citations

13
Traffic in the sky: ranking the hazard bird species to aircraft-collision in Brazil DOI
Alex Augusto Abreu Bovo, Fernanda Delborgo Abra, Cesar A. B. Medolago

et al.

Ornithology Research, Journal Year: 2024, Volume and Issue: 32(1), P. 11 - 22

Published: Jan. 3, 2024

Language: Английский

Citations

2
Flying in the Strike Zone: Urban Air Mobility and Wildlife Strike Prevention DOI
Isabel C. Metz,

Cerian Henshaw,

Lisa Harmon

et al.

Journal of the American Helicopter Society, Journal Year: 2024, Volume and Issue: 69(3), P. 1 - 9

Published: May 10, 2024

The number and rate of wildlife strikes continue to increase worldwide. More than 30 years strike data indicate that approximately 92% for commercial aircraft occur at or below 3500 ft above ground level. Since urban air mobility (UAM) operations are envisioned carry cargo passengers up an altitude 4000 level, UAM will face increased exposure risks throughout their operations. Moreover, the comparatively small size aircraft, proposed cruising speeds 170 kt, quieter electric engines expected reduce opportunities threat perception evasive maneuvers by operators wildlife. This paper presents how well-established prevention measures can be adapted meet needs how, with new technology, original equipment manufacturers (OEMs), regulatory agencies, operators, communities, airspace managers, vertiport work together enhance safety.

Language: Английский

Citations

2
The correlation betweeneBirdcommunity science and weather surveillance radar‐based estimates of migration phenology DOI Creative Commons

Elaina K. Haas,

Frank A. La Sorte, Hanna M. McCaslin

et al.

Global Ecology and Biogeography, Journal Year: 2022, Volume and Issue: 31(11), P. 2219 - 2230

Published: July 13, 2022

Measuring avian migration can prove challenging given the spatial scope and diversity of species involved. No one monitoring technique provides all pertinent measures needed to capture this macroscale phenomenon - emphasizing need for data integration. Migration phenology is a key metric characterizing large-scale dynamics has been successfully quantified using weather surveillance radar (WSR) community science observations. Separately, both platforms have their limitations measure different aspects bird migration. We sought make formal comparison estimates derived from WSR eBird which we predict positive correlation.

Language: Английский

Citations

11
Risk Assessment Model Based on Set Pair Analysis Applied to Airport Bird Strikes DOI Open Access
Rui Wang, Qiang Zhao, Hui Sun

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(19), P. 12877 - 12877

Published: Oct. 9, 2022

In order to comprehensively evaluate the risk of bird strike at airports and effectively prevent occurrence events, this paper constructs assessment index system airport from five perspectives “personnel-bird-equipment-environment-management”. For purpose maximizing variances, Analytic Hierarchy Process (AHP) entropy weight method are combined used obtain comprehensive weights. The five-element connection number Set Pair Analysis (SPA) is introduced establish identical-discrepancy-contrary model, trend analyzed according partial for each order. experiment results show that weighting can minimize deviation demonstrate good accuracy in determining weights indicators all levels. established model reasonably predict trend, which significant personnel carry out prevention works.

Language: Английский

Citations

10