Midlands State University Library

Nutrient-based method for assessing the hazard degree of red tide (Record no. 162067)

MARC details
000 -LEADER
fixed length control field 02134nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230508121820.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230508b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name WEN, Shiyong
245 ## - TITLE STATEMENT
Title Nutrient-based method for assessing the hazard degree of red tide
Remainder of title a case study in the Zhejiang coastal waters, East China Sea
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Verlag
Name of producer, publisher, distributor, manufacturer Springer
Date of production, publication, distribution, manufacture, or copyright notice 2013
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Environmental earth sciences
Volume/sequential designation Volume , number ,
520 ## - SUMMARY, ETC.
Summary, etc. The assessment of the hazard degree of red tide is a new research field. The current study analyzes the relationship between the specific growth rate and N/P atomic ratio of red tide to obtain the assessment results of red tide under various N/P atomic ratios. This study aims to develop a nutrient-based method that can assess the hazard degree of red tide disasters based on the algal growth and cell density threshold of red tide outbreaks. This study obtained the following four main findings: (1) a nutrient-based tolerance model of the algal growth that can provide a quantitative description of Shelford’s law of tolerance was established, (2) a method that can assess the hazard degree of red tide disasters based on the time the algal growth reached the cell density threshold of red tide outbreaks was proposed, (3) the hazard degree assessment of red tide disasters was classified into four grades, namely, very high, high, medium, and low, and (4) the spatial distribution map of the Alexandrium tamarense red tide outbreak probability in the Zhejiang coastal waters was generated using the proposed method and the geographic information system and remote sensing technology.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element nutrient
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element hazard degree assessment of red tide disasters
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element zhejiang coastal waters
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name SONG, Lili
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name LONG, Hua
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name YU, Jun
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name GAO, Shugang
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name ZHAO, Dongzhi
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/s12665-013-2324-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 08/05/2023 Vol.70 , No.6 (Nov 2013)   GE105 ENV 08/05/2023 08/05/2023 Journal Article For In House Use Only