Digital Ocean Information Framework （DOIF） has been proposed by China in 2011 based on the achievements of the comprehensive offshore oceanic surveys supported by Chinese Offshore Investigation and Assessment Progra...Digital Ocean Information Framework （DOIF） has been proposed by China in 2011 based on the achievements of the comprehensive offshore oceanic surveys supported by Chinese Offshore Investigation and Assessment Program, whose code name is 908. All observations from the surveys have been integrated and managed by DOIF. DOIF is capable of supporting the decision of making process for the sustainable use of marine resources in coastal regions of China, providing useful information and added value products as well as services for the improved management of the coastal areas in China with high business impact on the targeted groups as public authorities and commercial operators （e.g. managers, fishermen, shipping companies）. The future vision of DOIF in the international marine data and information exchange and service at Western Pacific region is presented in this paper.展开更多
Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific su...Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific support,as well as institutional accommodation,to successfully implement it.This paper overviews the major challenges with IRBM,the promising scientific approaches for the implementation of IRBM,and the areas of needed research,with considerable issues and experiences from China.It is expected that novel research will draw together disparate disciplines into an integrated scientific framework,upon which better modeling tools,stakeholder involvement,and decision-making support can be built.Cutting-edge new technologies will bring ideas of IRBM forward to theory and finally to practice.The paper will prompt scientists to undertake research to fill in the gaps in the current IRBM knowledge base and provide practitioners guidance on how to incorporate scientifically based information within the IRBM decision process.展开更多
文摘Digital Ocean Information Framework （DOIF） has been proposed by China in 2011 based on the achievements of the comprehensive offshore oceanic surveys supported by Chinese Offshore Investigation and Assessment Program, whose code name is 908. All observations from the surveys have been integrated and managed by DOIF. DOIF is capable of supporting the decision of making process for the sustainable use of marine resources in coastal regions of China, providing useful information and added value products as well as services for the improved management of the coastal areas in China with high business impact on the targeted groups as public authorities and commercial operators （e.g. managers, fishermen, shipping companies）. The future vision of DOIF in the international marine data and information exchange and service at Western Pacific region is presented in this paper.
基金supported by U.S.National Science Foundation(Grant No.CBET-0747276)
文摘Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific support,as well as institutional accommodation,to successfully implement it.This paper overviews the major challenges with IRBM,the promising scientific approaches for the implementation of IRBM,and the areas of needed research,with considerable issues and experiences from China.It is expected that novel research will draw together disparate disciplines into an integrated scientific framework,upon which better modeling tools,stakeholder involvement,and decision-making support can be built.Cutting-edge new technologies will bring ideas of IRBM forward to theory and finally to practice.The paper will prompt scientists to undertake research to fill in the gaps in the current IRBM knowledge base and provide practitioners guidance on how to incorporate scientifically based information within the IRBM decision process.
