Information Engineering for Ports and Marine Environments
暫譯: 港口與海洋環境的信息工程
Mu, Lin, Wang, Lizhe, Wang, Mingwei
- 出版商: CRC
- 出版日期: 2020-04-15
- 售價: $5,870
- 貴賓價: 9.5 折 $5,577
- 語言: 英文
- 頁數: 238
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367244926
- ISBN-13: 9780367244927
海外代購書籍(需單獨結帳)
商品描述
Information Engineering for Port and Marine Environments provides the technology of tidal level prediction, the technology of oil spill early-warning, and the research for the theory of storm sedimentation, the construction for monitor ability, the early-warning service for numerical simulation and operational, which involves many aspects such as theoretical research, system establishment, and application of information technology, et al. Because of the certain prospective and advancement of multiple work, it will play a positive role in promoting the related technology of the field.
There are several of important offshore ports in China, such as Tianjin port, Yangshan Port, Ningbo-Zhoushan port, Huanghua port et al., most of them are located in the coast of muddy and muddy silty, and the depth of water is shallow, the sediment deposition is serious, the large ship is operated by tide. In order to sufficiently keep the rapid and stable economic growth in bay, estuary and delta, guarantee the security of port, channel, maritime, oceanic engineering and resource development of oil and gas, and better escort for the social economy activities, it is essential to provide the information service of sediment and ocean hydrometeorology with width coverage, and forecasting and warning information.
It is all the latest research results in the book, which involves many fields such as physical oceanography, meteorology, biology, chemistry, geology, environment, transportation and law and so on. The development of information assurance and prediction system for port shipping and ocean environment is a huge and arduous project. It is too hasty to finish the book, due to the limited knowledge of the author, the careless is unavoidable, cordially invites the readers to point out.
Features:
- An entire system to forecast the port shipping and ocean environment information is proposed, including what is the port shipping and ocean environment information.
- The concept of port shipping and ocean environment data integration is presented, and the essential modules are built for the ocean dynamics model.
- The high performance port shipping and ocean environment data processing system is constructed, and the model dataset and geographic information is obtained to build the basic database.
- The application of information assurance technology for port shipping and ocean environment is conducted at Tianjin port and Yangshan Port.
This book is meant for senior undergraduates and postgraduate students in the fields of geoinformatics, Port engineering and Marine engineering. Engineers and technicians in the related fields can also use it for reference.
商品描述(中文翻譯)
《港口與海洋環境的信息工程》提供潮位預測技術、油污洩漏預警技術，以及風暴沉積理論的研究、監測能力的建設、數值模擬和運行的預警服務，涉及理論研究、系統建立和信息技術應用等多個方面。由於多項工作的前瞻性和先進性，將在促進該領域相關技術方面發揮積極作用。
中國有幾個重要的離岸港口，如天津港、洋山港、寧波-舟山港、黃華港等，大多數位於泥濘和淤泥質的海岸，水深較淺，沉積物沉積嚴重，大型船隻依賴潮汐運行。為了充分保持灣區、河口和三角洲的快速穩定經濟增長，保障港口、航道、海事、海洋工程及油氣資源開發的安全，並更好地護航社會經濟活動，提供廣泛覆蓋的沉積物和海洋氣象信息服務，以及預測和警報信息是至關重要的。
本書包含了最新的研究成果，涉及物理海洋學、氣象學、生物學、化學、地質學、環境學、交通運輸和法律等多個領域。港口航運和海洋環境的信息保障與預測系統的發展是一項龐大而艱巨的工程。由於作者的知識有限，書籍的完成過於匆忙，難免有疏漏，誠摯邀請讀者提出指正。
特點：
- 提出了一個完整的系統來預測港口航運和海洋環境信息，包括什麼是港口航運和海洋環境信息。
- 提出了港口航運和海洋環境數據整合的概念，並為海洋動力學模型建立了必要的模塊。
- 建設了高性能的港口航運和海洋環境數據處理系統，獲取模型數據集和地理信息以建立基本數據庫。
- 在天津港和洋山港進行了港口航運和海洋環境的信息保障技術應用。
本書適合地理信息學、港口工程和海洋工程領域的高年級本科生和研究生，相關領域的工程師和技術人員也可以作為參考。
作者簡介
Lin Mu is a professor and doctoral supervisor of College of Life Sciences and Oceanography, Shenzhen University. He was born in 1977, received Ph.D. degree from Ocean University of China and majored in physical oceanography. Dr. Mu has been devoted to the research fields of informational maritime safety support and applied oceanography, and has obtained significant achievements in recent years. He has published 3 monographs and over 50 research papers, 20 of which are covered by Science Citation Index. As the chief scientist, he has been presiding important projects such as National Key Research and Development Program of China, National Natural Science Foundation Project of China and National Science and Technology Support Program of China. In the field of informational maritime safety support, Prof. Mu is specialized in marine oil-spill pollution warning and firstly developed a prediction and warning system of marine oil-spill, search and rescue integration in China, which has been used successfully in a series of accident issues. As an expert in marine search and rescue techniques, he studied, predicted and analyzed the drifting trajectory of the debris of Flight MH370, which provided technical
support for related emergency responses. In the field of applied oceanography, Prof. Mu proposed a real-time tidal level prediction system based on statistics and dynamic model by coupling the real-time monitoring data of meteorology and tidal level, statistical prediction method of tide, atmospheric and marine dynamics model, which conquered the drawbacks of traditional models and brought clear economic benefits.
Lizhe Wang is a "ChuTian" Chair Professor at School of Computer Science, China University of Geosciences (CUG), and a Professor at Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences (CAS). Prof. Wang received B.E. & M.E from Tsinghua University and Doctor of Engineering from University Karlsruhe (Magna Cum Laude), Germany. Prof. Wang is a Fellow of IET, Fellow of British Computer Society. Prof. Wang serves as an Associate Editor of IEEE TPDS, TCC and TSUSC. His main research interests include HPC, e-Science, and remote sensing image processing.
Mingwei Wang received his Ph.D. degree from Wuhan University, Wuhan, China, in 2018. He obtained the B.S. and M.S. degrees from Hubei Normal University, Huangshi, China, in 2011 and Hubei University of Technology, Wuhan, China, in 2015. He is currently a full-time scientific researcher in School of Geological Survey, China University of Geosciences, Wuhan, China. His major research interests include remote sensing image processing, swarm intelligence and machine learning.
作者簡介(中文翻譯)
林木是深圳大學生命科學與海洋學院的教授及博士生導師。他於1977年出生，獲得中國海洋大學的博士學位，主修物理海洋學。林博士致力於資訊海事安全支援和應用海洋學的研究領域，並在近年來取得了顯著的成就。他已出版3部專著和50多篇研究論文，其中20篇被科學引文索引（Science Citation Index）收錄。作為首席科學家，他主持了中國國家重點研究與發展計畫、中國國家自然科學基金項目和中國國家科技支援計畫等重要項目。在資訊海事安全支援領域，林教授專注於海洋油污污染預警，並首次在中國開發了海洋油污預測與警報系統，成功應用於一系列事故問題中。作為海洋搜尋與救援技術的專家，他研究、預測並分析了MH370航班殘骸的漂流軌跡，為相關緊急應對提供了技術支援。在應用海洋學領域，林教授提出了一個基於統計和動態模型的實時潮位預測系統，通過結合氣象和潮位的實時監測數據、潮汐的統計預測方法以及大氣和海洋動力學模型，克服了傳統模型的缺點，帶來了明顯的經濟效益。
王立哲是中國地質大學（CUG）計算機科學學院的「楚天」講座教授，並且是中國科學院（CAS）遙感與數字地球研究所的教授。王教授獲得清華大學的工學學士和碩士學位，以及德國卡爾斯魯厄大學的工程博士（優等）。王教授是IET的會士和英國計算機學會的會士。他擔任IEEE TPDS、TCC和TSUSC的副編輯。王教授的主要研究興趣包括高效能計算（HPC）、電子科學（e-Science）和遙感影像處理。
王明偉於2018年在中國武漢大學獲得博士學位。他於2011年在湖北師範大學獲得學士學位，並於2015年在湖北工業大學獲得碩士學位。目前，他是中國地質大學（武漢）地質調查學院的全職科研人員。他的主要研究興趣包括遙感影像處理、群體智慧和機器學習。
