Literature DB >> 21528560

[Analysis of meteorological factors of forming feculent and anaerobic water aggregation induced by algal bloom in Taihu Lake].

Cheng-Lin Wang1, Yong Zhang, Ning-Hong Zhang, Xin Qian, Fan-Xiang Kong.   

Abstract

The water quality pollution problem about feculent and anaerobic water aggregation (FAWA) induced by algal bloom in Taihu Lake, which is often called 'hufan' in Chinese, was studied. Its forming process is divided into 3 phases, i. e., material elements forming of FAWA, anaerobic products to be brought to the water surface and the maintaining of FAWA in the water surface. The conventional observational data from Wuxi meteorological station was analyzed. The result shows that there are similar meteorological characteristics of two FAWA phenomena in Taihu Lake in May, 2007 and May, 2008. A numerical simulation was performed to prove the analysis results. It indicates that propitious meteorological condition is one of the necessary forming factors of FAWA, which provides thermal and dynamical environment for FAWA. During the first phase, the weather conditions, such as high air temperature, gentle breeze and nearly invariable wind direction, maintain for more than 3 days and cause algal bloom to aggregate, then die, sink and anaerobic decay near lake bank. All these provide the precondition for FAWA. During the second phase, when the cold air mass passes across the Taihu basin, almost counter-direction wind, which maintains for more than 1 day with higher speed and lower air temperature, makes anaerobic products to be brought to the water surface by uplifted current. This is the trigger mechanism of FAWA. During the last phase, continual high air temperature and gentle breeze is favorable for FAWA in the water surface. Because meteorological factors are predictable, this research provides a way and basis for the further study of warning and controlling approaches of FAWA.

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Year:  2011        PMID: 21528560

Source DB:  PubMed          Journal:  Huan Jing Ke Xue        ISSN: 0250-3301


  2 in total

1.  Tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake based on GOCI imagery.

Authors:  Chenggong Du; Yunmei Li; Qiao Wang; Ge Liu; Zhubin Zheng; Meng Mu; Yuan Li
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-09       Impact factor: 4.223

2.  Identifying the Driving Factors of Black Bloom in Lake Bay through Bayesian LASSO.

Authors:  Liang Wang; Yulin Wang; Haomiao Cheng; Jilin Cheng
Journal:  Int J Environ Res Public Health       Date:  2019-07-12       Impact factor: 3.390

  2 in total

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