Literature DB >> 19324378

The use of monitoring data for identifying factors influencing phytoplankton bloom dynamics in the eutrophic Taw Estuary, SW England.

Gerald Maier1, Gillian A Glegg, Alan D Tappin, Paul J Worsfold.   

Abstract

Using the Taw Estuary as an example, data routinely collected by the Environment Agency for England and Wales over the period 1990-2004 were interrogated to identify the drivers of excessive algal growth. The estuary was highly productive with chlorophyll concentrations regularly exceeding 100 microg L(-1), mostly during periods of low freshwater input from the River Taw when estuarine water residence times were longest. However, algal growth in mid estuary was often inhibited by ammonia inputs from the adjacent sewage treatment works. The reported approach demonstrates the value of applying conventional statistical analyses in a structured way to existing monitoring data and is recommended as a useful tool for the rapid assessment of eutrophication. However, future estuarine monitoring should include the collection of dissolved organic nutrient data and targeted high temporal resolution data because the drivers of eutrophication are complex and often very specific to a particular estuary.

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Year:  2009        PMID: 19324378     DOI: 10.1016/j.marpolbul.2009.02.014

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  Temporal variability in nutrient concentrations and loads in the River Tamar and its catchment (SW England) between 1974 and 2004.

Authors:  Alan D Tappin; Utra Mankasingh; Ian D McKelvie; Paul J Worsfold
Journal:  Environ Monit Assess       Date:  2012-10-11       Impact factor: 2.513

2.  Assessment of the Spatial and Temporal Variations of Water Quality for Agricultural Lands with Crop Rotation in China by Using a HYPE Model.

Authors:  Yunxing Yin; Sanyuan Jiang; Charlotta Pers; Xiaoying Yang; Qun Liu; Jin Yuan; Mingxing Yao; Yi He; Xingzhang Luo; Zheng Zheng
Journal:  Int J Environ Res Public Health       Date:  2016-03-18       Impact factor: 3.390

  2 in total

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