Assessment of the Spatial and Temporal Water Eutrophication for Lake Baiyangdian Based on Integrated Fuzzy Method

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ISSN Print: 2152-2197
ISSN Online: 2152-2219
www.scirp.org/journal/jep
E-mail: jep@scirp.org

"Assessment of the Spatial and Temporal Water Eutrophication for Lake Baiyangdian Based on Integrated Fuzzy Method"
written by Shuxuan Liang, Hong Wu, Hongbo Li, Yihong Wu,
published by Journal of Environmental Protection, Vol.4 No.1, 2013

has been cited by the following article(s):

[1]	Modelling eutrophication status of Sasthamkotta lake using geographical information system and remote sensing
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[2]	Biochar phosphorus fertilizer effects on soil phosphorus availability
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[3]	A Sediment Diagenesis Model of Seasonal Nitrate and Ammonium Flux Spatial Variation Contributing to Eutrophication at Taihu, China
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[4]	响应面法优化实际污水厂的除磷过程
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[5]	Application of SWMM to analyse the effect of sewage water treatment on water quality in Guwahati, India
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[6]	USING PCA COMBINED SVM IN THE CLASSIFICATION OF EUTROPHICATION IN DEZ RESERVOIR (IRAN).
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[7]	Characterization of Dissolved Organic Matter in Lake Baiyangdian Using Spectroscopic Techniques and Multivariate Statistical Analysis
	CLEAN–Soil, Air, Water, 2016

[1]	Modelling eutrophication status of Sasthamkotta lake using geographical information system and remote sensing PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN ENGINEERING AND TECHNOLOGY - ITechCET 2021, 2022 DOI:10.1063/5.0103761

[2]	A Sediment Diagenesis Model of Seasonal Nitrate and Ammonium Flux Spatial Variation Contributing to Eutrophication at Taihu, China International Journal of Environmental Research and Public Health, 2020 DOI:10.3390/ijerph17114158

[3]	Characterization of Dissolved Organic Matter in Lake Baiyangdian Using Spectroscopic Techniques and Multivariate Statistical Analysis CLEAN - Soil, Air, Water, 2016 DOI:10.1002/clen.201500887

[4]	Characterization of Dissolved Organic Matter in Lake Baiyangdian Using Spectroscopic Techniques and Multivariate Statistical Analysis CLEAN – Soil, Air, Water, 2016 DOI:10.1002/clen.201500887

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