Poyang Lake’s Eutrophicatoin and Its Treatment
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Evaluated the formation and underlying causes of general lake eutrophication. Studied how eutrophication is formed in Poyang Lake according to its hydrological characteristics. Compared different treatments for Poyang Lake’s eutrophication and recommended several improvements for current Poyang Lake’s eutrophication strategy.Keywords:
Lake district
What is eutrophication? the nutrients causing eutrophication, and their sources the bio-chemical manifestations of eutrophication the biological effects of eutrophication the engineering, economic and social effects of eutrophication prediction and modelling of the causes and effects of euthrophication the reduction of causes and the management of effects of eutrophication the Norfolk Broads, United Kingdom - the restoration of shallow eutrophic lakes, Geoffrey Phillips.
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Biomanipulation
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Abstract Eutrophication and warming are changing the functioning of lake ecosystems, and their impacts on lake carbon dioxide (CO 2 ) variability have received increasing attention. However, how eutrophication and warming change lakes' carbon cycle has not been determined. Here, the surface partial pressure of CO 2 ( p CO 2 ) and CO 2 flux in Lake Taihu, a large and eutrophic lake in eastern China, was investigated based on monthly samplings over a 24‐yr period (1992–2015), during which the lake experienced profound anthropogenic and climate changes. The results showed that eutrophication caused by nutrient enrichment plays a role in three aspects: (1) nutrient concentrations controlled the CO 2 variability on decadal scales; (2) peak p CO 2 and CO 2 fluxes occurred in river mouths due to large external nutrient loading inputs; and (3) eutrophication effects on CO 2 varied among subzones, which was linked to external inputs and in‐lake primary production. Meanwhile, temperature controls the seasonal variation in CO 2 by stimulating primary production, leading to significantly lower p CO 2 and CO 2 fluxes in warm seasons with algal blooms. Further analysis suggested that temperature effects varied spatially and temporally, high nutrient loading may confound the temperature effects via stimulating CO 2 production. To our knowledge, this study presents the longest field measurements (24 yr) of CO 2 from such large and ice‐free freshwater lakes with monthly surveys, which may provide a powerful example to demonstrate that eutrophication and warming can shape CO 2 variability from a temporal perspective. Future studies should focus on the interactive warming and eutrophication effects to accurately predict future CO 2 emission.
Lake ecosystem
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The water eutrophication in Shahu Lake was evaluated comprehensively by using trophic status index in this paper.The results showed that the water eutrophication in Shahu Lake became serious gradually and it had changed from the light eutrophication in 2002 to mesotrophication in 2005.Phosphors and organic pollutants were the limiting factors to water eutrophication in Shahu Lake.The results of eutrophication analysis showed that internal pollution sources and external pollution sources were the main causes for water eutrophication in Shahu Lake.Especially the water supply from Yellow River and surface runoff were the main external pollution sources.According to the analysis,some countermeasures were suggested to control the water eutrophication in Shahu Lake finally.
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The eutrophication trend of Dianshan Lake was evaluated,according to water quality monitoring data from the lake,which were obtained by the Shanghai Water Environmental Monitoring Center from 2008 to 2010.The results show that eutrophication in Dianshan Lake has been alleviated since 2008,and there exist regional and temporal variations in eutrophication,which can be described as follows:(1) the concentrations of TN,TP,SS,and Chl-a,which are the main eutrophication indices of the lake,decreased from 2008 to 2010;(2) the concentrations of TN and TP and the overall trophic state index in the water intake area upstream of Dianshan Lake were higher than those in the outflow area downstream of the lake;and(3) the area of the blue-green algal bloom in Dianshan Lake has decreased every summer.The results show that eutrophication is least significant in the southeastern area of Dianshan Lake due to water purification and ecosystem recovery by aquatic plants in this area,the ecosystem in Dianshan Lake is gradually recovering,and some effects need to be eliminated in order to achieve stability and positive cycling of the ecosystem.
Trophic state index
Lake ecosystem
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Cycling
Nutrient cycle
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Ten-year water quality,eutrophication condition and main pollution indices in Taihu Lake were analyzed using monitoring data from 1997 to 2006.The results show that Taihu Lake was mostly polluted by organic matter,and water quality deteriorated with eutrophication.Great effort is needed to control water pollution in Taihu Lake.
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Biomanipulation
Biogeochemical Cycle
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The three-dimensional hydrodynamic and eutrophication model of Shenzhen Reservoir was developed based on EFDC framework. Model calibration and validation were conducted with two sets of independent observed data of water flows,water levels,and water quality in 2009 and 2010 2011. The model represented the hydrodynamic processes and the spatial and temporal distributions of water quality satisfactory. Subsequently,three scenarios were configured to provide decision makings for eutrophication control,included removing 100% nutrients from all tributaries,increasing by 50% of water flows,and removing 50% nutrients from Dongjiang. As shown by the modeling results,the maximum chlorophyll-a concentrations were decreased by 1. 0%, 16. 4% and 46. 3%,respectively,the average chlorophyll-a concentrations were decreased by 1. 3%,29. 8% and 29. 9%,respectively. Therefore,there is no water bloom in Shenzhen Reservoir so far because water has been exchanged quickly,although there has been eutrophication threats because of the large numbers of nutrients entering into the reservoir from Dongjiang. Increasing water flows and removing nutrients from Dongjiang can significantly improve water quality and effectively reduce the risk of water bloom in the reservoir.
Bloom
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