Monitoring of biofilm-associated Legionella pneumophila on different substrata in model cooling tower system

Wang, X. J.; Liu, R. M.

doi:10.1007/s10661-005-9154-9

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…Lake Taihu (China) can be characterized as a point-loaded drainage lake, since the majority of nutrients originate from point sources (90%) and water Chapter 4 | 117 input is mainly from rivers (75%) (Kelderman et al, 2005). In accordance with our predictions, highest concentrations of algal biomass appear in the northern and central parts of the lake, while algal biomass and nutrient levels are lower closer to the outflow (Wang et al, 2005;. Nutrient reduction was attempted as a restoration measure but could not keep up with the rapid socio-economic development in the region .…”

Section: Point-loaded Drainage Lakessupporting

confidence: 84%

A blooming business : Identifying limits to Lake Taihu's nutrient input

Janssen¹

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Section: Point-loaded Drainage Lakessupporting

confidence: 84%

A blooming business : Identifying limits to Lake Taihu's nutrient input

Janssen¹

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Spatial analysis for spring bloom and nutrient limitation in Xiangxi bay of three Gorges Reservoir

Han

et al. 2006

Environ Monit Assess

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The spatial and temporal dynamics of physical variables, inorganic nutrients and phytoplankton chlorophyll a were investigated in Xiangxi Bay from 23 Feb. to 28 Apr. every six days, including one daily sampling site and one bidaily sampling site. The concentrations of nutrient variables showed ranges of 0.02-3.20 mg/L for dissolved silicate (Si); 0.06-2.40 mg/L for DIN (NH 4 N + NO 2 N + NO 3 N); 0.03-0.56 mg/L for PO 4 P and 0.22-193.37 μg/L for chlorophyll a, respectively. The concentration of chlorophyll a and inorganic nutrients were interpolated using GIS techniques. The results indicated that the spring bloom was occurred twice in space during the whole monitoring period (The first one: 26 Feb.-23 Mar.; the second one: 23 Mar.-28 Apr.). The concentration of DIN was always high in the mouth of Xiangxi Bay, and PO 4 P was high in the upstream of Xiangxi Bay during the whole bloom period. Si seems no obvious difference in space in the beginning of the spring bloom, but showed high heterogeneity in space and time with the development of spring bloom. By comparing the interpolated maps of chlorophyll a and inorganic variables, obvious consumptions of Si and DIN were found when the bloom status was serious. However, no obvious depletion of PO 4 P was found. Spatial regression analysis could explained most variation of Chl-a except at the begin of the first and second bloom. The result indicated that Si was the factor limiting Chl-a in space before achieved the max area of hypertrophic in the first and second bloom period. When Si was obviously exhausted, DIN became the factor limiting the Chl-a in space.Daily and bidaily monitoring of Site A and B, representing for high DIN: PO 4 P ratio and low DIN:PO 4 P ratio, indicated that the concentration of Si was decreased with times at both site A and B, and the dramatically drop of DIN was found in the end monitoring at site B. Multiple stepwise regression analysis indicated that Si was the most important factor affect the development of spring bloom both at site A and B in time series.

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Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China

Wang

Lü

et al. 2006

Environ Monit Assess

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Phytoplankton variation in large shallow eutrophic lakes is characterized by high spatial and temporal heterogenity. Understanding the pattern of phytoplankton variation and the relationships between it and environmental variables can contribute to eutrophic lakes management. In this study Taihu Lake, one of the largest eutrophic fresh water lake in China, was taken as study area. The water body of Taihu Lake was divided into five regions viz. Wuli bay (WB), Meilian Bay (MB), West Taihu Lake (WTL), Main Body of Taihu Lake (MBTL) and East Taihu Lake (ETL). Concentrations of chlorophyll-a and the related environmental variables were determined in each region in the period 2000-2003. Factor analysis and multivariate analysis were applied to evaluate the interactions between phytoplankton variation and environmental variables. Results showed that the highest average concentrations of TN, TP and Chl-a were observed in WB, followed in a descending order by MB and WTL, and the lowest concentrations of TN, TP and Chl-a were observed in MBTL and ETL. Chl-a and TP concentrations in most regions (except ETL) declined during the study period. It suggested that to some extent the lake was recovering from eutrophication. However, persistent ascending of TN and NH(4)-N in all five regions indicated the deteriorating of water quality in the study period. Results of multivariate showed that the relationships between phytoplankton biomass and environmental variables varied among regions. TP illustrated itself a controlling role on phytoplankton in WB, MB, WTL and MBTL according to the significant positive relations to phytoplankton biomass in these regions. Nitrogen could be identified as a limiting factor to phytoplankton biomass in ETL in view of the positive correlations between TN and phytoplankton and between NH(4)-N and phytoplankton. Spatial variation of interactions between phytoplankton and environmental parameters suggested proper eutrophication control measures were needed to restore ecological system in each region of Taihu Lake.

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Monitoring of biofilm-associated Legionella pneumophila on different substrata in model cooling tower system

Cited by 8 publications

References 32 publications

A blooming business : Identifying limits to Lake Taihu's nutrient input

A blooming business : Identifying limits to Lake Taihu's nutrient input

Spatial analysis for spring bloom and nutrient limitation in Xiangxi bay of three Gorges Reservoir

Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China

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