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摘要
The present survey is an assessment of water quality, sediments, flora and fauna of Haleji Lake. A number of variables were selected for 12 stations for a period of 4 months from May to August 2008. Multivariate statistical techniques were applied to identify characteristics of water quality in the studied stations. Four factors were extracted by principal component analysis and explain 86.82% of the total variation. The first factor (PC1) loaded with variables of TDS, Na, K, Cl, DO, hardness, Ca, Mg, sulphate and orthophosphate. Factor second (PC2) is related with COD, total acid hydrolysable phosphate. The third factor (PC3) associated with pH and fluoride. Thus fourth factor (PC4) to its total eigen-value of 1.605 were significantly positive correlated with BOD and bicarbonate and negatively correlated with ammonia and nitrate. The majority of mean values for lake water were higher than minimum permissible levels for drinking water when compared with its source of riverine water. The pH was indicated slightly alkaline, biological oxygen demand staged at the maximum permissible limit by WHO for drinking water. The parameters of chemical oxygen demand, fluoride and potassium were found above the permissible limits of WHO for drinking water. In sediments, the calcium and hardness was in higher concentration than water. However chloride and alkalinity indicated lower in sediment than that of water. The lake was identified rich in primary productivity and showed the Typha domigensis, Phragmites karka, Nelumbo nucifera and Potamogeton pectinatus forming beads to become food for herbivorous fishes and migratory birds. The excess growth of phytoplankton especially Microcysts species M. aeruginosa, M. flosaqua, M. pulverea, Oscillatoria prolfica, O. planktonica, Pediastrum simplex, & P. simplex Var duodenarium, Botryococus braunii were identified. The fishes were recorded Channa striatus, Notopterus notopterus, Xenenthodon canclia, Oreochromous mossambicus, Oreochromous niloticus, Gudisia chapra, Chanda ranga and Chela laubuca. The studies explained conveniently by correlation coefficient, principal component analysis and surfer diagram.
- 出版日期2013-6
