A study of the site selection of a civil airport based on the risk of bird strikes: The case of Dalian, China

Fu, Qiang; Wang, Nuo; Shen, MingQi; Song, Nan-qi; Yan, Hua-Kun

doi:10.1016/j.jairtraman.2016.03.016

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…YIA is geographically located near the coast of the Indian Ocean. Airports located near the coast have also reported that waterbirds are priority management issue for aviation security to minimize the bird strike risk (Brown et al 2001;DeVault et al 2016;Fu et al 2016). Aviation security could be jeopardized by bird strikes.…”

Section: Discussionmentioning

confidence: 99%

Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management

Priyono

REZA²,

EPRILURAHMAN³

et al. 2022

Biodiversitas

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Abstract. Priyono DS, Reza A, Eprilurahman R, Yudha DS, Mufti D, Fauzy NH, Triyono RB, Adhi PK. 2022. Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management. Biodiversitas 23: 3639-3646. Environmental DNA (eDNA) has become a widely used tool for aquatic biodiversity monitoring, as well as for formulating effective landscape management strategies. Yogyakarta International Airport (YIA), Indonesia, has a green belt landscape located on the Indian Ocean coast. YIA's landscape biodiversity analysis is still unexplored. Herein, we first used high throughput sequencing DNA metabarcoding to identify and investigate aquatic biodiversity in a pond on the airport landside areas. The metabarcoding eDNA sequencing analysis yielded 224,737 raw reads from the metagenomics utilizing Illumina MiSeq sequencing. We identified 588 eukaryote species from 205 families and 300 genera. Actinopteri is the most dominant class with a diversity of 160 taxa, followed by Mammalia (88), Amphibia (60), and Chlorophyceae (25). At the order level, Anura has the highest order diversity (50), followed by Rodentia (31), Chiroptera (17), Eulipotyphla (16), Squamata (15), and Cypriniformes (14). We found that Plasmodium was the genus with the highest relative abundance in this pond (18,030 reads). Furthermore, the large variety of fish and other taxa in this pond may attract waterbirds, increasing the risk of bird strike. The abundance of Plasmodium sp. in this airport area is an important issue, especially regarding airport malaria risk. Integration of biodiversity monitoring using eDNA with aviation security management provides valuable information for the airport's wildlife hazard management plan. To prevent the recurrence of bird strikes and prevent airport malaria, aviation security strategies utilizing habitat management approaches are recommended.

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Section: Discussionmentioning

confidence: 99%

Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management

Priyono

REZA²,

EPRILURAHMAN³

et al. 2022

Biodiversitas

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“…Routes for migratory birds through Dalian can be divided into three: the east, middle, and the west [37]. Approximately 10 million migratory birds are foraged, stopped, and replenished their physical strength in this area each year according to the statistics [38]. Therefore, all kinds of natural conditions and socio-economic conditions will cause conflicts between wind energy exploration and environmental protection.…”

Section: Study Areamentioning

confidence: 99%

Wind Farm Location Special Optimization Based on Grid GIS and Choquet Fuzzy Integral Method in Dalian City, China

Cui

et al. 2021

Energies

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Selecting an appropriate wind farm location must be specific to a particular administrative region, which involves restrictions balance and trade-offs. Multi-criteria decision making (MCDM) and GIS are widely used in wind energy planning, but have failed to achieve the selection of an optimal location and make it difficult to establish a set of independent factors. Fuzzy measurement is an effective method to evaluate intermediate synthesis and calculates the factor weight through fuzzy integrals. In this paper, optimal wind farm location is analyzed through coupling Grid GIS technique with λ fuzzy measure. Dalian City is selected as the study area for proving the feasibility of the proposed method. Typography, meteorological, transmission facilities, biological passage, and infrastructure are taken into the index system. All the indexes are specialized into victor grid cells which are taken as the base wind farm location alternative unit. The results indicate that the Grid GIS based λ fuzzy measure and Choquet fuzzy integral method could effectively deal with the special optimization problem and reflect optimal wind farm locations.

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“…Mixed integer linear programming model has been applied for solving a bi-level program. Fu et al (2016) investigated the relocation case of a china airport considering the perspective towards risk of bird strike. Markov chain is applied to analyze the birds' flying procedure and to frame new algorithm in estimating bird strikes with aircraft.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy interval based multi-criteria homogeneous group decision making technique: An application to airports ranking problem

Bairagi¹

2023

Decis. Mak. Appl. Manag. Eng.

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This paper aims to develop and introduce a fuzzy Interval based Multi-criteria homogeneous Group Decision making technique (IMGD) to make appropriate decision under fuzzy environment. In fuzzy multi-criteria group decision making process, a group of decision makers often considers several subjective criteria for ranking a set of alternatives. Due to vague and imprecise information, decision makers generally utilize linguistic variables which are mandatorily converted into triangular or trapezoidal fuzzy numbers. The total process then becomes very complex and time consuming. The current investigation advocates fuzzy intervals instead of triangular or trapezoidal fuzzy numbers for simplification of the complex situation and ease of calculation. In this method, fuzzy intervals of performance ratings and weights assessed by homogeneous group decision makers under subjective criteria are converted into first mean fuzzy intervals then into normalized crisp numbers. The normalized crisp performance ratings and normalized crisp weights are combined together to determine initially individual contribution and then into aggregate contribution to each alternative for final ranking and selection of the alternative. The new model is demonstrated with an application to airports ranking and selection problem for better clarification and verification. The outcome of the proposed is validated with the results obtained by well-known existing MCDM techniques. The analysis shows that the proposed method is applicable, useful and effective for appropriate decision making under fuzzy MCDM environment.

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A study of the site selection of a civil airport based on the risk of bird strikes: The case of Dalian, China

Cited by 11 publications

References 14 publications

Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management

Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management

Wind Farm Location Special Optimization Based on Grid GIS and Choquet Fuzzy Integral Method in Dalian City, China

A fuzzy interval based multi-criteria homogeneous group decision making technique: An application to airports ranking problem

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