Establishing Reference Conditions for Lake Water Quality: A Novel Extrapolation Approach

Xu, Yunfeng, Ma, Chunz, Huo, Shouliang, Zhang, Dayi, Xu, Zhiping, Qian, Guangren and Xi, Beidou (2014) Establishing Reference Conditions for Lake Water Quality: A Novel Extrapolation Approach. Water Resources Management, 28 8: 2161-2178. doi:10.1007/s11269-014-0604-4

Author Xu, Yunfeng
Ma, Chunz
Huo, Shouliang
Zhang, Dayi
Xu, Zhiping
Qian, Guangren
Xi, Beidou
Title Establishing Reference Conditions for Lake Water Quality: A Novel Extrapolation Approach
Journal name Water Resources Management   Check publisher's open access policy
ISSN 0920-4741
Publication date 2014-01-01
Year available 2014
Sub-type Article (original research)
DOI 10.1007/s11269-014-0604-4
Open Access Status DOI
Volume 28
Issue 8
Start page 2161
End page 2178
Total pages 18
Place of publication Dordrecht, The Netherlands
Publisher Springer Netherlands
Language eng
Subject 2312 Water Science and Technology
2205 Civil and Structural Engineering
Abstract The serious lake eutrophication has drawn increasingly attention, requiring further and deeper knowledge to understand its restriction factors of pre-disturbance conditions or historical reference conditions. In the meanwhile, Lake Nutrient Reference Conditions (LNRCs) are important indicators of eutrophication but hardly determined in the presence of eutrophication. In this research, a novel extrapolation approach was raised to determine LNRCs and its impacts on eutrophication, with the integral model of Optimal Map Recognition (OMR) and Pattern Recognition Inverse Mapping (PRIM). Validated with public data and experimental simulation, the approach was suggested as a reliable extrapolation for LNRCs determination. Further case study on Dianshan Lake and Chenghai Lake applied the novel extrapolation model in real eutrophication estimation and prediction, the results of which were in good agreement with those deduced by other techniques.
Keyword Eutrophication
Lake Nutrient Reference Conditions (LNRCs)
Microcystis aeruginosa
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID 21107067
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Australian Institute for Bioengineering and Nanotechnology Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 03 Jun 2014, 12:11:34 EST by System User on behalf of Aust Institute for Bioengineering & Nanotechnology