Journal articles: 'Eutrophication'

1

O'Sullivan, P. E. "Eutrophication." International Journal of Environmental Studies 47, no. 3-4 (March 1995): 173–95. http://dx.doi.org/10.1080/00207239508710958.

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Hobson, Louis A. "Surf eutrophication?" Marine Pollution Bulletin 16, no. 12 (December 1985): 499. http://dx.doi.org/10.1016/0025-326x(85)90385-6.

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3

Ellis, Derek. "Surf eutrophication?" Marine Pollution Bulletin 16, no. 11 (November 1985): 425–26. http://dx.doi.org/10.1016/0025-326x(85)90391-1.

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4

Wood, Brian, and D. Harper. "Eutrophication of Freshwaters." Journal of Ecology 81, no. 4 (December 1993): 831. http://dx.doi.org/10.2307/2261685.

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Fulweiler, R. W., N. N. Rabalais, and A. S. Heiskanen. "The eutrophication commandments." Marine Pollution Bulletin 64, no. 10 (October 2012): 1997–99. http://dx.doi.org/10.1016/j.marpolbul.2012.07.025.

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6

Bunt, J. S. "Marine coastal eutrophication." Aquatic Botany 49, no. 4 (March 1995): 275–76. http://dx.doi.org/10.1016/0304-3770(95)90022-5.

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Martínez‐Girón, Rafael, and Cristina Martínez‐Torre. "Eutrophication in histopathology." Histopathology 75, no. 1 (May 6, 2019): 137–38. http://dx.doi.org/10.1111/his.13852.

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Burkholder, JoAnn M., David A. Tomasko, and Brant W. Touchette. "Seagrasses and eutrophication." Journal of Experimental Marine Biology and Ecology 350, no. 1-2 (November 2007): 46–72. http://dx.doi.org/10.1016/j.jembe.2007.06.024.

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9

Pearson, Tom. "Marine coastal eutrophication." Journal of Experimental Marine Biology and Ecology 176, no. 1 (March 1994): 141–43. http://dx.doi.org/10.1016/0022-0981(94)90202-x.

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10

Pan, Jun, Yang Liu, Chang Hong Li, and Juan Wang. "Eutrophication Assessment of Reservoir Based on Matter-Element and Extension." Advanced Materials Research 599 (November 2012): 229–32. http://dx.doi.org/10.4028/www.scientific.net/amr.599.229.

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The eutrophication of medium-sized reservoirs in Shenyang is assessed to explore the feasibility of matter-element and extension using in assessing the eutrophication of water. The evaluation standard is established with related factors, and the eutrophication level is determined by correlation degree. The results show that, assessing eutrophication of water with this method, can not only determine the eutrophication level exactly, but also reflects the changing trend of the water. It is more appropriate than other methods in eutrophication assessment.

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11

Zhao, Tianxing. "Poyang Lake’s Eutrophicatoin and Its Treatment." Highlights in Science, Engineering and Technology 11 (August 23, 2022): 134–41. http://dx.doi.org/10.54097/hset.v11i.1354.

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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.

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Luo, Yang, Jin-Wen Liu, Jian-Wei Wu, Zheng Yuan, Ji-Wei Zhang, Chao Gao, and Zhi-Yu Lin. "Comprehensive Assessment of Eutrophication in Xiamen Bay and Its Implications for Management Strategy in Southeast China." International Journal of Environmental Research and Public Health 19, no. 20 (October 11, 2022): 13055. http://dx.doi.org/10.3390/ijerph192013055.

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The eutrophication of coastal water has been a critical environmental problem in China’s offshore areas. How to effectively assess the status of coastal waters is key for pollution treatment and environmental protection. In recent years, eutrophication-symptom-based and multi-indicator methods, termed “phase II” methods, have been gradually adopted to assess the eutrophication status in some coastal waters in China and have achieved success. The cumulative quantile is typically selected to determine the characteristic value of an indicator in “phase II” methods. The influence of small-scale damaged water bodies on eutrophication assessment may be exaggerated, which often leads to the overassessment of the eutrophication status. In this study, the area ratio method was integrated into the assessment of the estuarine trophic status (ASSETS) method in order to assess the eutrophication status of Xiamen Bay in 2016. The results indicated that, in 2016, the eutrophication status of Xiamen Bay coastal waters was moderate and exhibited spatiotemporal variation. The area ratio method can effectively reduce the effect of small-scale coastal waters with extremely high eutrophication on the overassessment of eutrophication at the broader scale, allowing the eutrophication status to be better reflected, even with limited observation data. The centralized distribution of pollution sources and poor hydrodynamic conditions are the main reasons for the aforementioned phenomenon. Controlling the pollution discharge from the Jiulong River in flood seasons is key to reducing eutrophication in Xiamen coastal waters.

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Zhang, Wen, Jiaxin Zhu, Zhiwei Liu, and Li Liu. "The eutrophication-related index of drinking water sources based on the oxidation-reduction potential." BioResources 19, no. 3 (June 5, 2024): 4941–59. http://dx.doi.org/10.15376/biores.19.3.4941-4959.

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Eutrophication caused by excessive nitrogen and phosphorus is an important factor affecting water quality in drinking water sources. Convenient monitoring of eutrophication in water bodies can reduce the use of pesticides and reduce energy consumption, helping to promote ecological and economic development. This study examined the relationship between water eutrophication and the oxidation-reduction potential (ORP). The results showed that various parameters related to eutrophication, such as ammonia nitrogen, total nitrogen, total phosphorus, chlorophyll-a, and cyanobacteria, had correlations with ORP. There is a close relationship between eutrophication and the concentration of cyanobacteria. When cyanobacteria blooms occur in the drinking water source, it may contaminate the drinking water. Because the conventional eutrophication index does not include the concentration of cyanobacteria, principal component analysis (PCA) was utilized to comprehensively analyze these eutrophication-related parameters and obtain the eutrophication-related index, with the cumulative contribution of principal components reaching 81.8%. Different mathematical methods such as neural network model and mathematical fitting were used to study the relationship between ORP and the eutrophication-related index. A three-segment relationship between the ORP and the index was established. This three-stage relationship was confirmed in different reservoirs.

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14

Wang, Yumin, Xian’e Zhang, and Yifeng Wu. "Eutrophication Assessment Based on the Cloud Matter Element Model." International Journal of Environmental Research and Public Health 17, no. 1 (January 3, 2020): 334. http://dx.doi.org/10.3390/ijerph17010334.

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Eutrophication has become one of the most serious problems threatening the lakes/reservoirs in China over 50 years. Evaluation of eutrophication is a multi-criteria decision-making process with uncertainties. In this study, a cloud matter element (CME) model was developed in order to evaluate eutrophication level objectively and scientifically, which incorporated the randomness and fuzziness of eutrophication evaluation process. The elements belonging to each eutrophication level in the CME model were determined by means of certainty degrees through repeated simulations of cloud model with reasonable parameters of expectation Ex, entropy En, and hyper-entropy He. The weights of evaluation indicators were decided by a combination of entropy technology and analytic hierarchy process method. The neartudes of water samples to each eutrophication level of lakes/reservoirs in the CME model were generated and the eutrophication levels were determined by maximum neartude principal. The proposed CME model was applied to evaluate eutrophication levels of 24 typical lakes/reservoirs in China. The results of the CME model were compared with those of comprehensive index method, matter element model, fuzzy matter element model, and cloud model. Most of the results obtained by the CME model were consistent with the results obtained by other methods, which proved the CME model is an effective tool to evaluate eutrophication.

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15

Jing, Yuan Shu, Zhi Hao Jing, Jing Yuan Hu, and Fei Chen. "Meteorological Conditions Influences on the Variability of Algae Bloom in Taihu Lake and its Risk Prediction." Applied Mechanics and Materials 253-255 (December 2012): 935–38. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.935.

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Lake eutrophication and algal bloom is one of the most important environmental problems facing China's lakes, and it is also the focus of lake eutrophication control of the world's attention. The monitoring data on chlorophyll concentration was analyzed every one month, combined with corresponding weather conditions from 2004 to 2006. According to the degree of eutrophication in Taihu Lake, it is divided into five Lakes: heavy eutrophication region V, eutrophication region IV, middle-level eutrophication region III, light eutrophication region II and nutrition region I. Based on fuzzy factor optimization method, the average wind speed, average pressure, average temperature and sunshine hours was selected to discuss the influence mechanism of meteorological factors on the algae bloom in Taihu Lake. Considered the four meteorological factors as the input layer nodes, BP neural network model was applied to build the zoning monitoring and early warning model of blue algae in Taihu Lake.

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Wang, Yumin, and Weijian Ran. "Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach." International Journal of Environmental Research and Public Health 16, no. 10 (May 19, 2019): 1769. http://dx.doi.org/10.3390/ijerph16101769.

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Evaluating the eutrophication level of lakes with a single method alone is challenging since uncertain, fuzzy, and complex processes exist in eutrophication evaluations. The parameters selected for assessing eutrophication include chlorophyII-a, chemical oxygen demand, total phosphorus, total nitrogen, and clarity. Firstly, to deal with the uncertainties and fuzziness of data, triangular fuzzy numbers (TFN) were applied to describe the fuzziness of parameters. Secondly, to assess the eutrophication grade of lakes comprehensively, an improved fuzzy matter element (FME) approach was incorporated with TFNs with weights determined by combination of entropy method and analytic hierarchy process (AHP). In addition, the Monte Carlo (MC) approach was applied to easily simulate the arithmetic operations of eutrophication evaluation. The hybrid model of TFN, FME, and MC method is termed as the TFN–MC–FME model, which can provide more valuable information for decision makers. The developed model was applied to assess the eutrophication levels of 24 typical lakes in China. The evaluation indicators were expressed by TFNs input into the FME model to evaluate eutrophication grade. The results of MC simulation supplied quantitative information of possible intervals, the corresponding probabilities, as well as the comprehensive eutrophication levels. The eutrophication grades obtained for most lakes were identical to the results of the other three methods, which proved the correctness of the model. The presented methodology can be employed to process the data uncertainties and fuzziness by stochastically simulating their distribution characteristics, and obtain a better understanding of eutrophication levels. Moreover, the proposed model can also describe the trend of eutrophication development in lakes, and provide more valuable information for lake management authorities.

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Haiying, Huo, Zhang Hao, Han Zigeng, Qu Rong, Quan Dong, Ji Xinpei, Zhao Dalu, Fu Hao, and Wang Luchen. "Eutrophication Control and Treatment Measures." Journal of Engineering System 1, no. 1 (March 2023): 20–24. http://dx.doi.org/10.62517/jes.202302105.

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Eutrophication usually refers to the excess of nutrients in water bodies, which often leads to the deterioration of water quality or the collapse of ecosystems.Eutrophication is a global problem with direct and indirect impacts on human health, agricultural output and ecosystems.This paper will review eutrophication standards, and through the analysis of references, it aims to explore the research progress and development trend of existing eutrophication standards, and explore how to improve water quality and restore ecosystems by reducing eutrophication, in order to provide scientific basis for the control and prevention of eutrophication.

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18

Zhao, Feng Liang, Qin Fen Li, Xiaoe Yang, and Jing Kun Liu. "A Review on Water Eutropication: The Causing Factors and Purifying Technologies." Applied Mechanics and Materials 522-524 (February 2014): 763–68. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.763.

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Water eutrophication has become a worldwide environmental problem, and understanding the causing factors of water eutrophication will help for prevention and remediation of water eutrophication. The major causing factors of water eutrophication and purifying technologies were reviewed in this paper. There are many factors causing water eutrophication, including human activities, air deposition, precipitation, fertilizer runoff, animal waste and rural household pollution. Therefore, it is difficult to remediate eutrophic water. Constructed wetlands and floating beds have proven to be promising treatment alternatives in developing countries. Moreover, the biomass from phytoremediation ecological engineering can be used bioenergy feedstocks or animal feeds.

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19

Preisner, M., E. Neverova-Dziopak, and Z. Kowalewski. "Analysis of eutrophication potential of municipal wastewater." Water Science and Technology 81, no. 9 (May 1, 2020): 1994–2003. http://dx.doi.org/10.2166/wst.2020.254.

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Abstract One of the main factors of the increased eutrophication level of surface waters is the high anthropogenic loads of biogenic substances discharged into water bodies. Municipal wastewaters, containing large amounts of nitrogen and phosphorus play one of the key roles in the acceleration of eutrophication intensity. The main direction in the prevention of eutrophication caused by wastewater discharge has become the reduction of nutrient loads introduced to wastewater receivers in accordance with strict legal requirements achievable only in advanced technologies. The treated wastewater quality standards are actually developed for total nitrogen and total phosphorus content, disregarding the fact that eutrophication potential of treated wastewater is determined by the content of non-organic nutrient forms directly bioavailable for water vegetation. That is why the currently used energy-consuming and expensive technologies do not always guarantee effective protection against eutrophication and its consequences. The goal of the study was to analyze the most widely used wastewater treatment technologies for enhanced biological nutrients removal in treated wastewater eutrophication potential. For this purpose, an analysis of the operation of 18 wastewater treatment plants based on different technologies in Finland, Canada, Poland, Russia and the United States was realized. The analysis concluded that the eutrophication potential of treated wastewater to a large extent is conditioned by the applied technology. The results of the research concluded that the eutrophication potential can serve an important criterion for decision-making regarding the proper selection of wastewater treatment technologies aimed at eutrophication mitigation.

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Yu, Hengguo, Min Zhao, and Qi Wang. "Analysis of Mathematics and Sustainability in an Impulsive Eutrophication Controlling System." Abstract and Applied Analysis 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/726172.

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Eutrophication removal problems have captured the attention of biologists, mathematicians, and environmental scientists. Within this framework, an impulsive eutrophication controlling system is studied analytically and numerically. A key advantage of the eutrophication system is that it can be quite accurate to describe the interaction effect of some critical factors (fishermen catch and releasing small fry, etc.), which enables a systematic and logical procedure for fitting eutrophication mathematical system to real monitoring data and experiment data. Mathematical theoretical works have been pursuing the investigation of two threshold functions of some critical parameters under the condition of all species persistence, which can in turn provide a theoretical basis for the numerical simulation. Using numerical simulation works, we mainly focus on how to choose the best value of some critical parameters to ensure the sustainability of the eutrophication system so that the eutrophication removal process can be well developed with maximizing economic benefit. These results may be further extended to provide a basis for simulating the algal bloom in the laboratory and understanding the application of some impulsive controlling models about eutrophication removal problems.

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Zhao, Xiao Qiang, Ying Zhang, Si Jie Li, and Han Lu Wang. "A Measuring System of Water Eutrophication Based on the Algae Characteristic Changes." Advanced Materials Research 531 (June 2012): 329–33. http://dx.doi.org/10.4028/www.scientific.net/amr.531.329.

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With the algae play an important role in water eutrophication, a set of measuring system of water eutrophication based on the algae characteristic changes is designed, according to the relationship between the eutrophication and the algae characteristic changes. It is according to Canny self-adaptive edge detection algorithm, K-nearest neighbor classification algorithm, image processing technology, and the algae species and area’s changing, determined the status and level of water eutrophication pollution. The experiment result shows that the algae characteristic changes are realized and the water eutrophication is measured by the system. What’s more, the system has many advantages like adaptive, self-judgment and even good application value.

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Liu, Qing Guang, Zong Guang Diao, and Jing Yu Sun. "Assessment and Mechanisms of Water Eutrophication in Chaohu Lake, China." Advanced Materials Research 113-116 (June 2010): 1433–38. http://dx.doi.org/10.4028/www.scientific.net/amr.113-116.1433.

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Water eutrophication has become one of the most serious problems in Chaohu Lake problem in recent years, and understanding the mechanisms of water eutrophication in Western Chaohu Lake will help for prevention and remediation of water eutrophication. In this paper, we selected 6 routine sampling sites in the water area of Chaohu Lake. TP, TN, CODMn and Chl-a are chosen to describe the eutrophication of the Study area. The influencing factors and major mechanisms of water eutrophication were discussed. The reasons of eutrophication changes in Western Chaohu Lake are very complicated; consist of the suitable natural condition, the built of Yuxi Gate, the deteriorated watershed ecological environment and a great amount of pollutants discharged. The treatment and control of the industrial and domestic wastewater from Hefei City are essential to the treatment. More attention should be paid to the treatment of non-point pollution.

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Aljaouja, Togola Astan, and Ling Liu. "Eutrophication of Lake Reghaïa." IOSR Journal of Environmental Science, Toxicology and Food Technology 11, no. 01 (January 2017): 23–30. http://dx.doi.org/10.9790/2402-1101012330.

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Lijklema, Lambertus, Jan H. Jansen, and Rudi M. M. Roijackers. "Eutrophication in the Netherlands." Water Science and Technology 21, no. 12 (December 1, 1989): 1899–902. http://dx.doi.org/10.2166/wst.1989.0197.

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Khan, Fareed A., and Abid Ali Ansari. "Eutrophication: An Ecological Vision." Botanical Review 71, no. 4 (December 2005): 449–82. http://dx.doi.org/10.1663/0006-8101(2005)071[0449:eaev]2.0.co;2.

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SANO, Kazuo. "Eutrophication Management by Fish." Journal of Japan Society on Water Environment 18, no. 3 (1995): 207–14. http://dx.doi.org/10.2965/jswe.18.207.

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Saijo, Yatsuka. "The Problem of Eutrophication." Japan journal of water pollution research 10, no. 4 (1987): 209. http://dx.doi.org/10.2965/jswe1978.10.209.

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Gill, John, and Jane Markby. "Eutrophication in a beaker." Journal of Biological Education 25, no. 1 (March 1991): 7–8. http://dx.doi.org/10.1080/00219266.1991.9655166.

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Showstack, Randy. "Eutrophication stresses U.S. estuaries." Eos, Transactions American Geophysical Union 88, no. 32 (August 7, 2007): 318. http://dx.doi.org/10.1029/2007eo320003.

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30

Schelske, C. L. "Eutrophication: Focus on Phosphorus." Science 324, no. 5928 (May 7, 2009): 722. http://dx.doi.org/10.1126/science.324_722.

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Bryhn, A. C., and L. Hakanson. "Eutrophication: Model Before Acting." Science 324, no. 5928 (May 7, 2009): 723. http://dx.doi.org/10.1126/science.324_723a.

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McDowell, Rich W., and David P. Hamilton. "Nutrients and eutrophication: introduction." Marine and Freshwater Research 64, no. 5 (2013): iii. http://dx.doi.org/10.1071/mf13059.

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Seiki, T., E. Date, and H. Izawa. "Eutrophication in Hiroshima Bay." Marine Pollution Bulletin 23 (January 1991): 95–99. http://dx.doi.org/10.1016/0025-326x(91)90656-d.

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Nixon, Scott W. "Eutrophication and the macroscope." Hydrobiologia 629, no. 1 (April 18, 2009): 5–19. http://dx.doi.org/10.1007/s10750-009-9759-z.

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Heip, Carlo. "Eutrophication and Zoobenthos dynamics." Ophelia 41, no. 1 (February 1995): 113–36. http://dx.doi.org/10.1080/00785236.1995.10422040.

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Yu, Jiabin, Zhaoyang Wang, Xiaoyi Wang, Jiping Xu, and Jie Jia. "Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication." Journal of Chemistry 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/2036035.

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The process of water eutrophication involves the interaction of external factors, nutrients, microorganisms, and other factors. It is complex and has not yet been effectively studied. To examine the formation process of water eutrophication, a set of orthogonal experiments with three factors and four levels is designed to analyze the key factors. At the same time, with the help of a large amount of monitoring data, the principal component analysis method is used to extract the main components of water eutrophication and determine the effective evaluation indicators of eutrophication. Finally, the Bayesian theory of uncertainty is applied to the evaluation of the eutrophication process to evaluate the sample data. The simulation results demonstrate the validity of the research method.

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Levain, Alix, Carole Barthélémy, Magalie Bourblanc, Jean-Marc Douguet, Agathe Euzen, and Yves Souchon. "Green Out of the Blue, or How (Not) to Deal with Overfed Oceans." Environment and Society 11, no. 1 (September 1, 2020): 115–42. http://dx.doi.org/10.3167/ares.2020.110108.

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Despite causing harmful impacts on coastal communities and biodiversity for a few decades, eutrophication of marine systems has only recently gained public visibility. Representing a major land-based pollution, eutrophication is now considered the most striking symptom of intractable disruption of biogeochemical nutrient cycles at a global scale. The objective of this article is to analyze multi-scale dynamics of the problematization and regulation of ocean overfertilization. To do so, we build on a comprehensive literature review of previously published works that address the sociopolitical dimension of eutrophication issues and whose visibility we analyze with a critical perspective. We identify three stages that characterize the social history of marine eutrophication and how it was handled by public authorities. Although social mobilizations focus on emblematic sites, conflicts directly related to eutrophication symptoms spread in diverse hydro-social configurations. We conclude with a typology of four configurations associated with enduring nutrient pollution: noisy, overwhelming, silenced, and disturbing eutrophication.

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Wang, Hongbing, Xiaoming Wan, Si Wang, Lu Xia, and Yanwei Song. "Assessment of Eutrophication Characteristics and Evaluation of the First-Generation Eutrophication Model in the Nearshore Waters of Shantou City." Sustainability 15, no. 20 (October 13, 2023): 14866. http://dx.doi.org/10.3390/su152014866.

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Based on the water quality monitoring results from 2002 to 2018 in the coastal waters of Shantou City, this study used eight methods, including the single-factor index method, eutrophication index method, nutrient status quality method, comprehensive index method, organic pollution index method, nitrogen–phosphorus ratio method, potential eutrophication evaluation, and dissolved oxygen saturation parameter method, to evaluate the eutrophication and organic pollution status of the area. The applicability of the first-generation eutrophication model was assessed from the perspective of red tide occurrence, and a comparison was made among the various evaluation methods. The results indicate that the coastal waters of the study area were mostly in a phosphorus-limited state, with a few periods of nutrient deficiency and a very small portion of time in a moderately nutritious state with both nitrogen and phosphorus limitations. The overall N/P ratio showed an increasing trend primarily due to the gradual increase in inorganic nitrogen content. In terms of evaluating eutrophication based on red tide symptoms, the comprehensive index method showed better performance in reflecting eutrophication conditions, while the eutrophication index method and dissolved oxygen saturation parameter method highlighted problematic areas but often exaggerated their extent. The nutrient status quality method and organic pollution index method did not provide distinctive indications and could not verify red tide symptoms. The nitrogen–phosphorus ratio method and potential eutrophication evaluation could reflect certain nutrient structures and eutrophication characteristics but also failed to verify red tide symptoms. Furthermore, this study found a certain correlation between the occurrence of red tide and the ratio of nitrate nitrogen to ammonia nitrogen, which consistently ranged from 1.15 to 1.94 during red tide events. Therefore, whether this ratio can serve as a characteristic value for red tide occurrence and be used for early warning and monitoring still requires further validation.

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Wang, Hua, Yi Yi Zhou, and Feng Qiang Ji. "Investigation on Eutrophication Level for Gucheng Lake by the Model of Butterfly Catastrophe." Advanced Materials Research 726-731 (August 2013): 2051–56. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.2051.

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Based on the field measured results in the typical periods of flood season and dry season of Gucheng Lake, the present eutrophication levels of the lake were investigated by the Model of Butterfly Catastrophe, in which series of the environmental factors were considered including the ecological indicator of chlorophylla, the nutrient indicator of total nitrogen and total phosphorus, and the physical index of water transparency. The results showed that: the water eutrophication levels of Gucheng Lake were mal-distributed in space and time; the lake eutrophication tendency in flood seasons were more obvious than that in dry seasons; the eutrophication levels in the south part of the lake were relatively lower than that in the north and the average comprehensive mutation of fuzzy membership value in the south was about 0.3006 in the dry seasons. Due to the increased pollution load and the hydrodynamic conditions, the eutrophication degree in the estuary areas were higher and the fuzzy membership value was close to 0.235, achieving the medium eutrophication level.

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Bogdanovic, Darinka. "The role of phosphorus in eutrophication." Zbornik Matice srpske za prirodne nauke, no. 111 (2006): 75–86. http://dx.doi.org/10.2298/zmspn0611075b.

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Eutrophication is an increase in the biological productivity of water basins resulting from the accumulation of biogenic elements under the influence of anthropogenic factors. Natural eutrophication is a slow and inevitable process. Artifical eutrophica-tion is caused by human activity and it can be very rapid, especially in technologically developed countries. Eutrophication does not represent a mere change of water but a change in the metabolism of the entire ecosystem and hence a change of the ecosystem itself. In Serbia and Montenegro, all factors are present that promote eutrophication in both still (especially in lowland areas) and running waters. This paper deals with the results of eutrophication monitoring and prognostication for the DTD canal network and major rivers and lakes in Serbia, including a special review of the trophic status of lakes in the country's main lowland region, the Vojvodina Province. As phosphorus concentration is an important factor in the process of eutrophication of a body of water, the study has devoted particular attention to the control of this element.

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Li, Yong Qin, Chang Lai Xiao, Lin Lin Zhao, Xiu Juan Liang, and Zhi Chao Jiang. "Assessment and Analysis of Eutrophication in Xinlicheng Reservoir." Advanced Materials Research 726-731 (August 2013): 3376–80. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3376.

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Water blooms occurred in Xinlicheng reservoir in 2007 and eutrophication was paid attention on. The method of comprehensive eutrophication state index was adopted to assess eutrophication state and change of TN, TP, CODMnand pH were analyzed based on water quality monitoring data of Xinlicheng reservoir from 2000 to 2010. From 2003 to 2007, degree of eutrphication changed from mesotrophication to light eutrohpication. Eutrophication of Xinlicheng reservoir was caused by the pollution of nitrogen and phosphorus and the pollutant sources include extraneous and endogenous sources. Extraneous sources come from upstream water and periphery of the reservoir, while endogenous sources come from sediments. Ecological wetland should be constructed in estuarine area, fish and bivalves should be put into the reservoir and other comprehensive measures should be taken to control nitrogen, phosphorous and algae. Obvious effect has been achieved by eutrophication treatment measures.

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He, Jia, Jiping Yao, Aihua Li, Zhongxin Tan, Gang Xie, Huijian Shi, Xuan Zhang, Wenchao Sun, and Peng Du. "Potential impact of water transfer policy implementation on lake eutrophication on the Shandong Peninsula: a difference-in-differences approach." Hydrology Research 51, no. 5 (July 31, 2020): 1063–76. http://dx.doi.org/10.2166/nh.2020.047.

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Abstract Traditional research on lake eutrophication has failed to consider the effect of the South-to-North Water Transfer Project (SNWTP) policy; thus, the difference-in-differences (DID) model, which is usually applied to economic factors, was innovatively introduced to evaluate the effect of such policies on lake eutrophication. Nansi Lake and Dongping Lake in the Shandong Peninsula were selected as the experimental group, and Daming Lake and Mata Lake were selected as the control group. The eutrophication indices of the experimental group and the control group were calculated by the measured chlorophyll-a, total phosphorus, total nitrogen, water transparency and chemical oxygen demand data and used as the explanatory variables of the DID model. Nine environmental and socio-economic factors, such as dissolved oxygen and rural population, were selected as the control variables of the DID model to analyze the impact of the SNWTP policy on lake eutrophication. A joint consideration of environmental and socio-economic factors showed that the eutrophication degree of the experimental lakes deteriorated by 7.10% compared with the control under the influence of the implemented policy. Dissolved oxygen is the main factor affecting the eutrophication of the Shandong Peninsula. This study verifies that the DID model has the potential for use in quantitative analyses of the effect of the SNWTP policy on lake eutrophication.

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Wang, Bing, and Xuwang Yin. "Homogenization of Functional Diversity of Rotifer Communities in Relation to Eutrophication in an Urban River of North China." Biology 12, no. 12 (December 4, 2023): 1488. http://dx.doi.org/10.3390/biology12121488.

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Rapid urbanization has triggered nutrient loading, which will inevitably lead to the eutrophication of water bodies and further affect the structure of aquatic populations. At present, eutrophication is a significant challenge for urban aquatic ecosystems. However, we still know little about the correlation between eutrophication in urban rivers and the composition of aquatic functional groups. The effects of urban river eutrophication on rotifer communities were investigated using an annual field survey of the Jinan section of the Xiaoqing River, a typical urban river in northern China. Using functional diversity (FD) and beta diversity, the spatiotemporal variation of the aquatic biological functional groups regime along stretches subject to different eutrophication was investigated. The functional evenness (FEve) and functional divergence (FDiv) decreased significantly with the increment of the trophic level index. Functional diversity exhibits an extremely low level across functional groups, with the richness difference (RichDiff) being an important component. The results indicate that eutrophication led to the homogenization of rotifer communities. This can be attributed to the functional homogenization of the rotifer community in the Jinan section of the Xiaoqing River. The observed homogenization may be due to widely distributed species complementing the ecological niche space. Our findings provide valuable information on the conservation of the urban river under the threat of eutrophication caused by high-intensity human activities.

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Fesiuk, Vasyl, Serhii Polianskyi, and Tetyana Kopytyuk. "METHODS AND PRACTICAL IMPLEMENTATION OF APPLICATION OF REMOTE SENSING FOR MONITORING OF EUTROPHICATION OF RESERVOIR (ON THE EXAMPLE OF TURKISH LAKE)." SCIENTIFIC ISSUES OF TERNOPIL VOLODYMYR HNATIUK NATIONAL PEDAGOGICAL UNIVERSITY. SERIES: GEOGRAPHY 52, no. 1 (May 30, 2022): 159–66. http://dx.doi.org/10.25128/2519-4577.22.1.20.

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The article considers theoretical, methodological and practical aspects of the study of eutrophication of water bodies using remote sensing. Factors influencing eutrophication of reservoirs, possibilities of their geoecological monitoring with the use of remote sensing are analyzed. Over a long period of time, slowly and evolutionarily, lakes naturally change their state from oligotrophic to eutrophic and even dystrophic. However, in the XX century accelerated anthropogenic eutrophication of many lakes, other bodies of water and watercourses around the world. The main reason for this was the increased use of nitrogen fertilizers and the discharge of municipal wastewater containing phosphates from household synthetic detergents. To estimate the intensity of eutrophication processes in Turske Lake, we used remote sensing data, in particular, the vegetation index NDVI. The method of estimating the intensity of eutrophication processes in Turske Lake on the basis of remote sensing is as follows: using the EO-browser resource sentinel-hub.com was selected satellite images Landsat-8-9 L2 for the period from 1.05 to 1.10.2017-2021. The images were then analyzed to establish relationships and relationships between NDVI index values, temperature, NDVI index dynamics during the warm season, year, 5-year period, and the influence of other factors on the eutrophication process. The following regularity of intra-annual dynamics of the NDVI index has been established: in May eutrophication is practically absent, in June NDVI indicators increase, some parts of the lake surface with positive NDVI values appear. In July, NDVI values continue to rise. NDVI peaks in August or early September. In some years, abnormally high NDVI values are recorded at this time. Starting from the second half of September, the values of the index decrease, the reservoir is released from algae, they die, settle to the bottom and form an organic component of sapropel. Although in some years, even in late September, there are still some islands of high eutrophication of the lake, especially near the northern and eastern shores. Analysis of the long-term dynamics (2017-21) of eutrophication of the lake did not reveal a clear tendency to increase over time. NDVI indicators were the lowest in 2019, and the maximum values were acquired in 2017 and 2021. The density of the relationship between weighted temperature values and NDVI was analyzed. The correlation coefficient is 0.88. This is a fairly high level of correlation. In addition to temperature, the intensity of eutrophication of the lake is also influenced by nitrogen-containing and phosphorus-containing compounds that enter the reservoir with runoff from agricultural lands, farms and residential areas. Global climate change is also having a negative impact. A set of measures to reduce eutrophication and improve the hydroelectric condition of Turske Lake is proposed, which includes the following measures: reducing the supply of nutrients to the reservoir, compliance with the use of water protection zones, mechanical removal of plants from the lake and reclamation canals, environmental awareness and awareness the state of the reclamation network, compliance with regulations for its use, adaptation to global climate change. Key words: lake, eutrophication of the lake, research of eutrophication of reservoirs using methods of remote sensing, measures to reduce eutrophication and improve the current hydroecological condition of the Turske Lake.

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Seip, Knut L., Hein Sas, and Steven Vermij. "Changes in Secchi disk depth with eutrophication." Archiv für Hydrobiologie 124, no. 2 (March 31, 1992): 149–65. http://dx.doi.org/10.1127/archiv-hydrobiol/124/1992/149.

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Zhang, Yan, Mingxuan Li, Jiefeng Dong, Hong Yang, Lukas Van Zwieten, Hui Lu, Aref Alshameri, et al. "A Critical Review of Methods for Analyzing Freshwater Eutrophication." Water 13, no. 2 (January 18, 2021): 225. http://dx.doi.org/10.3390/w13020225.

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Water eutrophication is a global environmental problem that poses serious threats to aquatic ecosystems and human health. The evaluation of eutrophication provides a theoretical basis and technical guidance for the management and rehabilitation of water ecosystems. In the last four decades, dozens of evaluation methods have been applied to freshwater eutrophication, but there is a clear need to optimize and standardize the most suitable methods. We have addressed this gap by presenting a systematic review of methodologies. Due to the diversity and complexity of water bodies, no single evaluation method was identified that would adequately represent eutrophication under all scenarios. We demonstrate that lakes can best be assessed using the trophic level index (TLI) method, reservoirs and wetlands the trophic state index (TSI) and fuzzy comprehensive evaluation (FCE) method, respectively, and rivers the FCE method or back propagation (BP) neural network methods. More recently applied methodologies including spectral imaging and 3-D mapping of water quality using underwater gliders allow greater resolution and can be effective in managing waterbodies to avoid future eutrophication. The aim of this review is to guide future studies on the most appropriate methods available for assessing and reporting water eutrophication.

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Al-Gheethi, Adel Ali, Zubair Ahmed Memon, Ali Tighnavard Balasbaneh, Walid A. Al-Kutti, Norfaniza Mokhtar, Norzila Othman, Mohd Irwan Juki, Efaq Ali Noman, and Hassan Amer Algaifi. "Critical Analysis for Life Cycle Assessment of Bio-Cementitious Materials Production and Sustainable Solutions." Sustainability 14, no. 3 (February 8, 2022): 1920. http://dx.doi.org/10.3390/su14031920.

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The purpose of this study is to study the life cycle assessment of biocementitious materials production in comparison to traditional cement materials production. The environmental impact of production processes over the life cycle was evaluated on the basis of global warming and ozone depletion, human health, land, freshwater, marine ecotoxicity, and natural water system eutrophication. LCA uses endpoint methods (ECO indicators) and SimaPro 8 software to assess the health and environmental impact of raw materials used in the production process, including cement, Ca(NO3)2·4H2O, urea, molasses, and electricity. The results showed that cement materials made 82.88% of the world’s warming in all raw materials used in production processes, 87.24% of the world’s health, 89.54% of the deforestation of freshwater, and 30.48% to marine eutrophication. Ca(NO3)2·4H2O contributes by 58.88% to ozone depletion, 15.37 to human carcinogenic toxicity, 3.19% to freshwater eutrophication, and 11.76% to marine eutrophication. In contrast, urea contributes 38.15% to marine eutrophication and 5.25% to freshwater eutrophication. Molasses contribute by 13.77% to marine eutrophication. Cement contributes 74.27% to human health damage, 79.36% to ecosystem damage; Ca(NO3)2·4H2O contributes 13.54% to human health damage and 9.99% to ecosystem damage; while urea contributes 6.5% to human health damage and 5.91% to ecosystem damage. Bio-cementitious wastewater should undergo a treatment process to remove urea and molasses residues, as well as nitrates, before final disposal into the environment.

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Žilinskaitė, Emilija, Malgorzata Blicharska, and Martyn Futter. "Stakeholder Perspectives on Blue Mussel Farming to Mitigate Baltic Sea Eutrophication." Sustainability 13, no. 16 (August 16, 2021): 9180. http://dx.doi.org/10.3390/su13169180.

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Here, we present an application of systems thinking to controlling Baltic Sea eutrophication—a wicked environmental problem characterized by multiple stakeholder perspectives and no single, agreed upon solution. The Baltic Sea is one of the most polluted waterbodies in the world. More than 40 years of land-based (linear) measures have failed to adequately control eutrophication, yet internal (circular) measures are rarely used. Farming native blue mussels for nutrient capture has been proposed as one measure for eutrophication control, but the relevant stakeholders disagree as to its environmental, social and economic benefits. Here, we present the views of four Swedish stakeholder groups—academics, entrepreneurs, municipal government employees and representatives of non-governmental organizations (NGOs)—on the sustainability of native blue mussel farming, a circular measure for eutrophication control. Using semi-structured interviews, we elicited stakeholder perspectives on the environmental, economic and social dimensions of blue mussel farming. The interviewees generally agreed that blue mussel farming is not currently economically sustainable, but that it can contribute to the social sustainability of coastal regions. Academics were skeptical of the environmental benefits, claiming that farms could reinforce eutrophication, whereas the remaining stakeholder groups argued for its potential to mitigate eutrophication. In a roundtable discussion conducted one year after the original interviews, all stakeholder groups agreed that blue mussel farming alone will not fix Baltic Sea eutrophication, but can be part of the solution together with land-based measures. All groups also agreed on the need for cautious upscaling, continuous environmental monitoring and constant improvement if blue mussel farms are to be part of a “toolkit” for eutrophication control. Our results highlight the fact that wicked environmental problems can be addressed when multiple stakeholder groups with differing perspectives have the opportunity to achieve consensus through dialog.

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HAUCK, Markus, and Volkmar WIRTH. "Preference of lichens for shady habitats is correlated with intolerance to high nitrogen levels." Lichenologist 42, no. 4 (June 3, 2010): 475–84. http://dx.doi.org/10.1017/s0024282910000046.

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AbstractBased on findings in vascular plants showing that the capacity to provide enough carbon skeletons for rapid ammonium assimilation into amino acids is a prerequisite for tolerance to eutrophication, we tested the hypothesis that lichens from shady habitats are particularly sensitive to nitrogen pollution. We tested this hypothesis using published ecological indicator values (estimates of eutrophication tolerance and light preferences on an ordinal scale) for more than 500 central European lichen species. Our results show that shade-adapted lichens are indeed at the same time intolerant to eutrophication. However, not all eutrophication-sensitive lichens inhabit shady environments, suggesting the existence of several independent mechanisms causing intolerance of high nitrogen levels in lichens. The correlation of shade adaptation with nitrogen intolerance is limited to epiphytic and saxicolous species, since terricolous lichens are out-competed by vascular plants in dense vegetation. Our results suggest that lichen communities of shady bark, wood and rock are particularly sensitive to eutrophication.

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Preisner, Michał, Elena Neverova-Dziopak, and Zbigniew Kowalewski. "Mitigation of eutrophication caused by wastewater discharge: A simulation-based approach." Ambio 50, no. 2 (May 25, 2020): 413–24. http://dx.doi.org/10.1007/s13280-020-01346-4.

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AbstractMitigation of eutrophication, intensified by excessive nutrient load discharge in wastewaters regulated by restrictive legal requirements, remains one of today’s most important global problems. Despite implementation of the Water Framework Directive, the Urban Wastewater Directive and the HELCOM recommendations, the actual condition of surface water is still not satisfactory. In response to the above, the study presents an alternative approach for surface water protection against eutrophication based on the selection of appropriate nutrient removal technologies. An activated sludge model simulation was used to enable the identification of environmentally justified nutrient removal systems with lowest eutrophication potential of treated wastewater conditioned by bioavailable nutrient forms content. Based on the outcome of the study, the 3-stage Bardenpho system was identified as the most efficient for bioavailable phosphorus removal, while the Johannesburg system proved to have the highest efficiency for bioavailable nitrogen removal. The proposed eutrophication mitigation approach underlines the need for a reconsideration of current legal regulations which ignore nutrient bioavailability and key eutrophication limiting factors.

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Journal articles on the topic 'Eutrophication'

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