International buoy data has become an important data source for the operational update,and the acquisition of international buoy data is conducive to grasping the changes in the marine environment in the surrounding sea areas and improving the early warning ability of abnormal conditions.Aiming at the problems of many sources of international buoy data and the low degree of automation of data processing,this paper breaks through the key technical bottleneck of multi-source massive international buoy data collection and processing,and designs and develops an international buoy data business processing system.The system is divided into data collection,data processing,and standardization,quality control,weight collection integration,data output,data application,and management and other subsystems,the realization of international buoy data download,processing,and product output,and other functions of the business,to achieve rapid and effective use of data,has achieved good application results.
This paper gives the statistics of storm surge disasters which happened along Fujian coast from 2008 to 2017,and analyzes the spatial and temporal distribution of storm surges,economic losses status of storm surge disasters and the characteristics of storm surge disaster.The results show that the storm surge could frequently attack Fujian,affects large domain,and results in severe.What's more,during the impact of storm surge,the combination of high sea level,astronomical tide and storm surge could increase the disaster level of storm surges.
The National Science Foundation(NSF)of the United States of America funded project,the Biological and Chemical Oceanography Data Management Office(BCO-DMO),uses Drupal as a content management system(CMS)to organize and serve marine metadata and data from a subset of NSF funded and other projects.Metadata is essential for making data(in our case oceanographic data)discoverable,retrievable,and reusable.While most metadata must come directly from the data contributor,metadata from NSF funded research can be obtained from the NSF website.This paper describes our approach of leveraging Open Source Software and Programming Best Practices for Sustainable BCO-DMO Web Applications.We chose to set up an intermediate website and supporting database,calling it the NSF Tracker website,between the NSF and the BCO-DMO websites,implemented using Drupal,to acquire,store,and pre-populate the BCO-DMO metadata database.During the development process of the NSF Tracker website,we used carefully selected Drupal contributed modules and developed custom modules and followed the concept of loose coupling between the NSF website and the BCO-DMO website.To achieve loose coupling of the two websites,we decided to pass data between the websites by using web services.This way,neither website needed to know how data were stored or retrieved.The new version benefited by using Drupal modules,Drupal Form Application Programming Interface(API),jQuery,Ajax and PHP components.This approach improved security,flexibility and sustainability of the NSF Tracker implementation.
Multi-frequency high frequency radar with small circular array was deployed in Zhujiajian and Shengshan to detect the winds,waves,and currents in the overlapping area operationally in 2007.No.1509 typhoon Chan-hom landed in the coastal areas of Jujiajian,and then moved north by east,passing the HFSWR detection area.This paper compared the HFSWR observed data to anchoredbuoy observed data and ASCAT satellite remote sensing large area wind data respectively.The results of comparison indicated that HFSWR basically reflected the real distribution of wind and current of Zhoushan area during typhoon Chan-hom,showing the HFSWR is qualified to detect the winds and currents under complex marine conditions.
The cyclic peptides with antialgal activity were screened from Gracilaria lemaneiformis,Neoporphyra yezoensis,Silvetia siliguosa and Undaria pinnatifida,by thin-layer in-situ chemical reaction with ninhydrin reagent and antialgal activity test.The cyclic peptides with antialgal activity were found in the extracts of Gracilaria lemaneiformis and Neoporphyra yezoensis,respectively.Cyclo(Pro-Gly),cyclo(Ser-Pro),cyclo(Ala-Trp)were finally isolated from Gracilaria lemaneiformis,and cyclo(Leu-Pro)and cyclo(Val-Tyr)were purified from Neoporphyra yezoensis by repeated silica gel column chromatography and(or)silica gel thin layer chromatography.Except for cyclo(Ser-Pro),the other four cyclic dipeptides were obtained from corresponding marine macroalgae for the first time.Cyclo(Pro-Gly),cyclo(Leu-Pro)and cyclo(Val-Tyr)significantly inhibited the growth of Amphidinium carterae,Heterosigma akashiwo,and Phaeocystis globosa;they showed selective growth inhibition for Karenia mikimotoi and Skeletonema costatum.At the concentration of 50 μg/mL,the growth inhibition of cyclo(Pro-Gly),cyclo(Leu-Pro)and cyclo(Val-Tyr)for Amphidinium carterae,Heterosigma akashiwo and Phaeocystis globosa was≥50%(on the 4th day);the growth inhibition of cyclo(Pro-Gly)for Karenia mikimotoi and that of cyclo(Leu-Pro)for Skeletonema costatum were more than or close to 50%.Further,EC50-96h of cyclic dipeptide for red tide microalgae was obtained.EC50-96h of cyclo(Pro-Gly)for Karenia mikimotoi and Phaeocystis globosa,EC50-96h of cyclo(Leu-Pro)and cyclo(Val-Tyr)for Heterosigma akashiwo were less than that of potassium dichromate for corresponding red tide microalgae.This suggested that cyclo(Pro-Gly),cyclo(Leu-Pro)and cyclo(Val-Tyr)have more advantages in inhibiting Karenia mikimotoi,Phaeocystis globosa or Heterosigma akashiwo,and are expected to be developed into an environment-friendly algal inhibitor against red tide microalgae.
