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Establishing reference conditions for lake water quality: a novel extrapolation approach

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Establishing reference conditions for lake water quality: a novel extrapolation approach. / Xu, Yunfeng; Ma, Chunzi; Huo, Shouliang et al.
In: Water Resources Management, Vol. 28, No. 8, 01.06.2014, p. 2161-2178.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Xu, Y, Ma, C, Huo, S, Zhang, D, Xu, Z, Qian, G & Xi, B 2014, 'Establishing reference conditions for lake water quality: a novel extrapolation approach', Water Resources Management, vol. 28, no. 8, pp. 2161-2178. https://doi.org/10.1007/s11269-014-0604-4

APA

Xu, Y., Ma, C., Huo, S., Zhang, D., Xu, Z., Qian, G., & Xi, B. (2014). Establishing reference conditions for lake water quality: a novel extrapolation approach. Water Resources Management, 28(8), 2161-2178. https://doi.org/10.1007/s11269-014-0604-4

Vancouver

Xu Y, Ma C, Huo S, Zhang D, Xu Z, Qian G et al. Establishing reference conditions for lake water quality: a novel extrapolation approach. Water Resources Management. 2014 Jun 1;28(8):2161-2178. doi: 10.1007/s11269-014-0604-4

Author

Xu, Yunfeng ; Ma, Chunzi ; Huo, Shouliang et al. / Establishing reference conditions for lake water quality : a novel extrapolation approach. In: Water Resources Management. 2014 ; Vol. 28, No. 8. pp. 2161-2178.

Bibtex

@article{c9e8b399522449bc8adeaf27625bab53,
title = "Establishing reference conditions for lake water quality: a novel extrapolation approach",
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requiring further and deeper knowledge to understand its restriction factors of pre-disturbance conditions or historical reference conditions.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.",
keywords = "Eutrophication, Lake Nutrient Reference Conditions (LNRCs), Extrapolation, Microcystis aeruginosa ",
author = "Yunfeng Xu and Chunzi Ma and Shouliang Huo and Dayi Zhang and Zhiping Xu and Guangren Qian and Beidou Xi",
year = "2014",
month = jun,
day = "1",
doi = "10.1007/s11269-014-0604-4",
language = "English",
volume = "28",
pages = "2161--2178",
journal = "Water Resources Management",
issn = "0920-4741",
publisher = "Springer Netherlands",
number = "8",

}

RIS

TY - JOUR

T1 - Establishing reference conditions for lake water quality

T2 - a novel extrapolation approach

AU - Xu, Yunfeng

AU - Ma, Chunzi

AU - Huo, Shouliang

AU - Zhang, Dayi

AU - Xu, Zhiping

AU - Qian, Guangren

AU - Xi, Beidou

PY - 2014/6/1

Y1 - 2014/6/1

N2 - 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.

AB - 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.

KW - Eutrophication

KW - Lake Nutrient Reference Conditions (LNRCs)

KW - Extrapolation

KW - Microcystis aeruginosa

U2 - 10.1007/s11269-014-0604-4

DO - 10.1007/s11269-014-0604-4

M3 - Journal article

VL - 28

SP - 2161

EP - 2178

JO - Water Resources Management

JF - Water Resources Management

SN - 0920-4741

IS - 8

ER -