Assessment of the Spatial and Temporal Water Eutrophication for Lake Baiyangdian Based on Integrated Fuzzy Method
- 1 College of Chemistry and Environmental Science, Hebei University, Baoding, China
- 2 College of Chemistry and Environmental Science, Hebei University, Baoding, China
- 3 Hebei Provincial Academy of Environmental Science, Shijiazhuan, China
- 4 Hebei Provincial Academy of Environmental Science, Shijiazhuan, China
Abstract
Water quality evaluation entails both randomness and fuzziness. Considering that water eutrophication evaluation in volves many ind ic es, different classifications and interval values, fuzzy variable sets theory was developed to Lake Baiyangdian as a study case. Taking reference to eutrophication standard of Chinese lakes and local characteristic of Lake Baiyangdian, eutrophication degree of lake was divided into 8 level s. Total phosphorus, total nitrogen, and COD Mn were selected as evaluation ind ic es in this research. Based on the measured data, index feature value matrix of sample was built. Index weights were determined by means of pure threshold value method. Relative membership de gree of each index to each classification was calculated with relative difference function model. Then the stability of feature value of classification corresponding was received by the comprehensive calculation with the relative membership degree and index weights. The results show that the proposed models are effective tools for generating a set of realistic and flexible optimal solutions for complicated water quality evaluation issues. It concluded that the model was reasonable and practical.
- W. Wang, X. Q. Tang, S. L. Huang, et al., “Ecological Restoration of Polluted Plain Rivers within the Haihe River Basin in China,” Water Air Soil Pollution, Vol. 211, No. 1-4, 2010, pp. 341-357. doi:10.1007/s11270-009-0304-5
- C. Q. Yin and Z. W. Lan, “The Nutrient Retention by Ecotone Wetlands and Their Modification for Baiyang dian Lake Restoration,” Water Science and Technology, Vol. 32, No. 3, 1995, pp. 159-167. doi:10.1016/0273-1223(95)00616-8
- M. Varol and B. Sen, “Assessment of Surface Water Quality Using Multivariate Statistical Techniques: A Case Study of Behrimaz Stream, Turkey,” Environmental Monitoring and Assessment, Vol. 159, No. 1-4, 2009, pp. 543-553. doi:10.1007/s10661-008-0650-6
- K. X. Xing, H. C. Guo, Y. Y. Sun, et al., “Assessment of the Spatial-Temporal Eutrophic Character in the Lake Dianchi,” Journal of Geographical Sciences, Vol. 15, No. 1, 2005, pp. 37-43.
- J. J. Berzas Nevado, R. C. Rodríguez Martín-Doimeadios, F. J. Guzmán Bernardo, et al., “Integrated Pollution Evaluation of the Tagus River in Central Spain,” Environ mental Monitoring and Assessment, Vol. 156, No. 1-4, 2009, pp. 461-477. doi:10.1007/s10661-008-0498-9
- Z. Z. Li, “The Multiple Objective Fuzzy-Grey Method for Regional Water Quality Assessment,” International Journal of Hydroelectric Energy, Vol. 15, No. 4, 1997, pp. 35 40.
- M. Karydis, “Quantitative Assessment of Eutrophication: A Scoring System for Characterizing Water Quality in Coastal Marine Ecosystems,” Environmental Monitoring and Assessment, Vol. 41, No. 3, 1996, pp. 233-246. doi:10.1007/BF00419744
- A. Morihiro, A. Outoski, T. Kawai, et al., “Application of Modified Carlson’s Trophic State Index to Japanese Lakes and Its Relationship to Other Parameters Related to Trophic State,” Research Report on National Institute of Environmental Studies, Vol. 23, No. 1, 1981, pp. 12-30.
- A. Islam, S. Mozafar and M. G. Kelly, “Evaluation of the Trophic Diatom Index for assessing water quality in River Gharasou western Iran,” Hydrobiologia, Vol. 589, No. 1, 2007, pp. 165-173. doi:10.1007/s10750-007-0736-0
- R. S. Lu, S. L. Lo and J. Y. Hu, “Analysis of Reservoir Water Quality Using Fuzzy Synthetic Evaluation,” Stochastic Environmental Research and Risk Assessment, Vol. 13, No. 5, 1999, pp. 327-336. doi:10.1007/s004770050054
- H. Kung, L. Ying and Y. C. Liu, “A Complementary Tool to Water Quality Index: Fuzzy Clustering Analysis,” Water Resources Bulletin, Vol. 28, No. 3, 1992, pp. 525-533. doi:10.1111/j.1752-1688.1992.tb03174.x