{"title":"人类活动引起的海岸线变化分析与预测的新方法(以伊朗Javad Al-Aemmeh港为例)","authors":"M. Rezaee, A. Golshani, Hosein Mousavizadegan","doi":"10.29252/ijmt.12.9","DOIUrl":null,"url":null,"abstract":"Article History: Received: 8 Mar. 2019 Accepted: 2 Jul. 2019 In recent years, determining the rate of shoreline change by its historical trend has been reported frequently. This study has focused on shorelines at the adjacency of Javad Al-Aemmeh port which has undergone successive constructions in its region. The decadal trend of studied shoreline change was determined by the historical trend method. A numerical method was also employed to reduce the probable deficiencies concerned to these constructions. Accordingly, for the first time, a framework was developed to compare the results of historical trend and numerical methods with a field-measured value both spatially and quantitatively and based on this comparison, the most suitable rate of change was assigned to each coastal landform. Finally, it was revealed that among the computed rates, the Linear Regression Rate (LRR) from historical trend method has given the best estimation for the shoreline change rate, but in those parts which the shoreline was directly under influence of human interventions the change rate derived from the numerical method has been more accurate. Besides, results showed that at those parts which the Net Shoreline Movement (NSM) and the Shoreline Change Envelope (SCE) are identical, predicting the future position of shoreline by its past trend is more reliable.","PeriodicalId":34429,"journal":{"name":"International Journal of Maritime Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A New Methodology to Analysis and Predict Shoreline Changes Due to Human Interventions (Case Study: Javad Al-Aemmeh port, Iran)\",\"authors\":\"M. Rezaee, A. Golshani, Hosein Mousavizadegan\",\"doi\":\"10.29252/ijmt.12.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Article History: Received: 8 Mar. 2019 Accepted: 2 Jul. 2019 In recent years, determining the rate of shoreline change by its historical trend has been reported frequently. This study has focused on shorelines at the adjacency of Javad Al-Aemmeh port which has undergone successive constructions in its region. The decadal trend of studied shoreline change was determined by the historical trend method. A numerical method was also employed to reduce the probable deficiencies concerned to these constructions. Accordingly, for the first time, a framework was developed to compare the results of historical trend and numerical methods with a field-measured value both spatially and quantitatively and based on this comparison, the most suitable rate of change was assigned to each coastal landform. Finally, it was revealed that among the computed rates, the Linear Regression Rate (LRR) from historical trend method has given the best estimation for the shoreline change rate, but in those parts which the shoreline was directly under influence of human interventions the change rate derived from the numerical method has been more accurate. Besides, results showed that at those parts which the Net Shoreline Movement (NSM) and the Shoreline Change Envelope (SCE) are identical, predicting the future position of shoreline by its past trend is more reliable.\",\"PeriodicalId\":34429,\"journal\":{\"name\":\"International Journal of Maritime Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Maritime Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29252/ijmt.12.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Maritime Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29252/ijmt.12.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
文章历史:接收时间:2019年3月8日接收时间:2020年7月2日近年来,根据历史趋势确定海岸线变化率的报道频繁。本研究的重点是Javad Al Aemmeh港口附近的海岸线,该港口在该地区经历了连续的建设。利用历史趋势法确定了研究海岸线变化的年代趋势。还采用了一种数值方法来减少这些结构可能存在的缺陷。因此,首次开发了一个框架,将历史趋势和数值方法的结果与现场测量值在空间和数量上进行比较,并在此比较的基础上,为每个海岸地貌分配了最合适的变化率。最后,研究表明,在计算的变化率中,历史趋势法的线性回归率(LRR)对海岸线的变化率给出了最好的估计,但在海岸线直接受到人为干预影响的部分,数值方法得出的变化率更准确。此外,结果表明,在净海岸线运动(NSM)和海岸线变化包络线(SCE)相同的部分,通过其过去的趋势预测海岸线的未来位置更可靠。
A New Methodology to Analysis and Predict Shoreline Changes Due to Human Interventions (Case Study: Javad Al-Aemmeh port, Iran)
Article History: Received: 8 Mar. 2019 Accepted: 2 Jul. 2019 In recent years, determining the rate of shoreline change by its historical trend has been reported frequently. This study has focused on shorelines at the adjacency of Javad Al-Aemmeh port which has undergone successive constructions in its region. The decadal trend of studied shoreline change was determined by the historical trend method. A numerical method was also employed to reduce the probable deficiencies concerned to these constructions. Accordingly, for the first time, a framework was developed to compare the results of historical trend and numerical methods with a field-measured value both spatially and quantitatively and based on this comparison, the most suitable rate of change was assigned to each coastal landform. Finally, it was revealed that among the computed rates, the Linear Regression Rate (LRR) from historical trend method has given the best estimation for the shoreline change rate, but in those parts which the shoreline was directly under influence of human interventions the change rate derived from the numerical method has been more accurate. Besides, results showed that at those parts which the Net Shoreline Movement (NSM) and the Shoreline Change Envelope (SCE) are identical, predicting the future position of shoreline by its past trend is more reliable.