Midlands State University Library

Trend predictions in water resources using rescaled range (R/S) analysis (Record no. 161627)

MARC details
000 -LEADER
fixed length control field 01539nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230406095459.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230406b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name FENG, Lihua
245 ## - TITLE STATEMENT
Title Trend predictions in water resources using rescaled range (R/S) analysis
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. Based on historical and observational data of wet-and-low water resource changes, this article used the rescaled range (R/S) analysis principle and method to calculate the H index and establish the relation formula of R(i)/S(i) and i. Based on {x i }, and by using the least squares method, a new time series calculation method was proposed which endows the Brownian motion equation with forecasting abilities. This is a new attempt to forecast trend changes of water resources. Utilizing the time series data of water resources in Jinhua City, China, and the Brownian motion equation, aforecast was made of future trends in wet-and-low water resource changes. Satisfactory validation results were obtained, which indicate that this is an effective method for forecasting water resource changes.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element water resources
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element future trend
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R/S analysis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name ZHOU, Jiang
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/s12665-012-1917-3
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 06/04/2023 Vol.68 , No.8 (Apr 2013)   GE105 ENV 06/04/2023 06/04/2023 Journal Article For In House Use Only