Midlands State University Library

Detecting the dynamic linkage between landscape characteristics and water quality in a subtropical coastal watershed, Southeast China (Record no. 162456)

MARC details
000 -LEADER
fixed length control field 02348nam a22002897a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230530151518.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230530b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name HUANG, Jinliang
245 ## - TITLE STATEMENT
Title Detecting the dynamic linkage between landscape characteristics and water quality in a subtropical coastal watershed, Southeast China
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York
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 Management
Volume/sequential designation Volume , number ,
520 ## - SUMMARY, ETC.
Summary, etc. Geospatial analysis and statistical analysis are coupled in this study to determine the dynamic linkage between landscape characteristics and water quality for the years 1996, 2002, and 2007 in a subtropical coastal watershed of Southeast China. The landscape characteristics include Percent of Built (%BL), Percent of Agriculture, Percent of Natural, Patch Density and Shannon’s Diversity Index (SHDI), with water quality expressed in terms of CODMn and NH4 +–N. The %BL was consistently positively correlated with NH4 +–N and CODMn at time three points. SHDI is significantly positively correlated with CODMn in 2002. The relationship between NH4 +–N, CODMn and landscape variables in the wet precipitation year 2007 is stronger, with R2 = 0.892, than that in the dry precipitation years 1996 and 2002, which had R2 values of 0.712 and 0.455, respectively. Two empirical regression models constructed in this study proved more suitable for predicting CODMn than for predicting NH4 +–N concentration in the unmonitored watersheds that do not have wastewater treatment plants. The calibrated regression equations have a better predictive ability over space within the wet precipitation year of 2007 than over time during the dry precipitation years from 1996 to 2002. Results show clearly that climatic variability influences the linkage of water quality-landscape characteristics and the fit of empirical regression models.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element land use
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element landscape pattern
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element water quality
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name LI, Qingsheng
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name PONTIUS Jr, Robert Gilmore
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name KLEMAS, Victor
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name HONG, Huasheng
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/s00267-011-9793-2
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 30/05/2023 Vol.51 , No.1 (Jan 2013)   GE300 ENV 30/05/2023 30/05/2023 Journal Article For In House Use Only