Eutrophication Evaluation Model and Application for Reservoir Based on Fuzzy Pattern Theory

DOI

10.2991/iccsee.2013.390How to use a DOI?

Keywords

eutrophication, pattern recognition, evaluation, model

Abstract

According to the objective fact that eutrophication degree of water body belongs to fuzzy concept, an eutrophication evaluation model is explored and is applied in this paper based on fuzzy pattern recognition model proposed by Chen Shouyu. The evaluation model considers total phosphorus (TP), total nitrogen (TN), transparency degree (SD), chlorophyll (Chla) and permanganate index (CODMn) total 5 indicators. A large reservoir for water supply is taken as an object for carrying out the research on eutrophication evaluation based on the monitoring data in the period of 2005-2008. The eutrophication evaluation results show eigenvalues of annual average are respectively 2.8290 2.7177 2.8449 and 2.5354, eigenvalues of flood period are 2.9138 2.7314 2.9717 2.4447 and eigenvalues of non-flood period are 2.7483 2.7125 2.7138 2.6488. The above results show that the reservoir is under transitional stage from mesotrophic and light eutrophication, and the proposed model for eutrophication evaluation is reasonable and satisfactory.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuan Cheng
AU  - Jinbao LIU
PY  - 2013/03
DA  - 2013/03
TI  - Eutrophication Evaluation Model and Application for Reservoir Based on Fuzzy Pattern Theory
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1553
EP  - 1555
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.390
DO  - 10.2991/iccsee.2013.390
ID  - Cheng2013/03
ER  -