{"title":"机场周围航空噪声估计的Copula-ECAC模型","authors":"Wentao Guo , Weili Zeng , Yadong Zhou","doi":"10.1016/j.trd.2025.104666","DOIUrl":null,"url":null,"abstract":"<div><div>The European Civil Aviation Conference (ECAC) noise estimation model is widely used for its simplicity and efficiency. However, its reliance on fixed thrust coefficients for thrust calculation limits the accuracy of noise estimation. This study presents an innovative Copula-ECAC model for estimating aviation noise around airports to address this limitation. The core of the proposed model lies in leveraging the Copula theory to construct joint distribution models of thrust coefficients for various aircraft types. By utilizing the robust capability of Copula functions to characterize dependency relationships, the model effectively captures and simulates the complex dynamic interactions between different thrust coefficients. Applied to Nanjing Lukou International Airport in China, the Copula-ECAC model demonstrates superior performance compared to mainstream ECAC models in terms of prediction accuracy and generalization ability. With a coefficient of determination consistently exceeding 0.90, the model’s reliability and practical value are fully validated.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104666"},"PeriodicalIF":7.3000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Copula-ECAC model for estimating aviation noise around airports\",\"authors\":\"Wentao Guo , Weili Zeng , Yadong Zhou\",\"doi\":\"10.1016/j.trd.2025.104666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The European Civil Aviation Conference (ECAC) noise estimation model is widely used for its simplicity and efficiency. However, its reliance on fixed thrust coefficients for thrust calculation limits the accuracy of noise estimation. This study presents an innovative Copula-ECAC model for estimating aviation noise around airports to address this limitation. The core of the proposed model lies in leveraging the Copula theory to construct joint distribution models of thrust coefficients for various aircraft types. By utilizing the robust capability of Copula functions to characterize dependency relationships, the model effectively captures and simulates the complex dynamic interactions between different thrust coefficients. Applied to Nanjing Lukou International Airport in China, the Copula-ECAC model demonstrates superior performance compared to mainstream ECAC models in terms of prediction accuracy and generalization ability. With a coefficient of determination consistently exceeding 0.90, the model’s reliability and practical value are fully validated.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":\"142 \",\"pages\":\"Article 104666\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part D-transport and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1361920925000768\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925000768","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
A Copula-ECAC model for estimating aviation noise around airports
The European Civil Aviation Conference (ECAC) noise estimation model is widely used for its simplicity and efficiency. However, its reliance on fixed thrust coefficients for thrust calculation limits the accuracy of noise estimation. This study presents an innovative Copula-ECAC model for estimating aviation noise around airports to address this limitation. The core of the proposed model lies in leveraging the Copula theory to construct joint distribution models of thrust coefficients for various aircraft types. By utilizing the robust capability of Copula functions to characterize dependency relationships, the model effectively captures and simulates the complex dynamic interactions between different thrust coefficients. Applied to Nanjing Lukou International Airport in China, the Copula-ECAC model demonstrates superior performance compared to mainstream ECAC models in terms of prediction accuracy and generalization ability. With a coefficient of determination consistently exceeding 0.90, the model’s reliability and practical value are fully validated.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.