Literatura académica sobre el tema "Eutrophication – Control"
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Artículos de revistas sobre el tema "Eutrophication – Control"
Tang, Xianqiang, Min Wu, Wenjun Yang, Wei Yin, Feng Jin, Min Ye, Neil Currie y Miklas Scholz. "Ecological Strategy for Eutrophication Control". Water, Air, & Soil Pollution 223, n.º 2 (2 de agosto de 2011): 723–37. http://dx.doi.org/10.1007/s11270-011-0897-3.
Texto completoMartínez, Aurea, Francisco J. Fernández y Lino J. Alvarez-Vázquez. "Water artificial circulation for eutrophication control". Mathematical Control & Related Fields 8, n.º 1 (2018): 277–313. http://dx.doi.org/10.3934/mcrf.2018012.
Texto completoCarpenter, Stephen R., David L. Christensen, Jonathan J. Cole, Kathryn L. Cottingham, Xi He, James R. Hodgson, James F. Kitchell, Susan E. Knight, Michael L. Pace y et al. "Biological Control of Eutrophication in Lakes". Environmental Science & Technology 29, n.º 3 (marzo de 1995): 784–86. http://dx.doi.org/10.1021/es00003a028.
Texto completoPelley, Janet. "Is Coastal Eutrophication Out of Control?" Environmental Science & Technology 32, n.º 19 (octubre de 1998): 462A—466A. http://dx.doi.org/10.1021/es983777p.
Texto completoSala, L. y R. Mujeriego. "Cultural eutrophication control through water reuse". Water Science and Technology 43, n.º 10 (1 de mayo de 2001): 109–16. http://dx.doi.org/10.2166/wst.2001.0595.
Texto completoOrmerod, S. J. "Control of eutrophication in inland waters". Environmental Pollution 80, n.º 3 (1993): 309. http://dx.doi.org/10.1016/0269-7491(93)90057-u.
Texto completoQin, Boqiang, Liuyan Yang, Feizhou Chen, Guangwei Zhu, Lu Zhang y Yiyu Chen. "Mechanism and control of lake eutrophication". Chinese Science Bulletin 51, n.º 19 (octubre de 2006): 2401–12. http://dx.doi.org/10.1007/s11434-006-2096-y.
Texto completoFrancko, David A. "Control of Eutrophication in Inland Waters". Aquatic Toxicology 26, n.º 1-2 (junio de 1993): 152–53. http://dx.doi.org/10.1016/0166-445x(93)90012-p.
Texto completoRast, Walter y Jeffrey A. Thornton. "Trends in eutrophication research and control". Hydrological Processes 10, n.º 2 (febrero de 1996): 295–313. http://dx.doi.org/10.1002/(sici)1099-1085(199602)10:2<295::aid-hyp360>3.0.co;2-f.
Texto completoPeimin, PU, WANG Guoxiang, HU Chunhua, HU Weiping y FAN Chengxin. "Can We Control Lake Eutrophication by Dredging?" Journal of Lake Sciences 12, n.º 3 (2000): 269–79. http://dx.doi.org/10.18307/2000.0312.
Texto completoTesis sobre el tema "Eutrophication – Control"
Tuzun, Ilhami. "Eutrophication and its control by biomanipulation". Thesis, University of Essex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386919.
Texto completoSchneider, Jana. "Biomanipulation for eutrophication control in running waters". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-198843.
Texto completoLukhele, Nomagugu Precious. "Site-specific environmental risk assessment for phosphorus runoff". Thesis, University of Limpopo, 2014. http://hdl.handle.net/10386/1291.
Texto completoPhosphorus (P) runoff from agricultural sites and the subsequent loading into surface water bodies contribute to eutrophication. Environmental concerns associated with P loading in soil have motivated the need for the development of a proper tool that will allow farmers to identify agricultural areas or management practices that have the greatest potential to accelerate eutrophication. The objective of the study was to determine the spatial variability of soil test P, soil loss potential of the farm, P application rate and methods, and map P runoff risk across the field. This study was conducted in Vierfontein Boerdery in Kriel, Mpumalanga province, South Africa (longitude 29.11258833 and latitude -26.27104340). The field was under dryland cultivation and planted to yellow maize that was rotated with soybeans. Soil samples were taken at georeferenced locations in a 100 x 100 m grid for soil analysis. Spatial layers of soil P distribution, soil loss potential as well as application rate and method were created in ArcGIS software. These layers were used as input factors in a P index model to identify areas in the farm that are vulnerable to P runoff. Results indicated a variation in soil test P. Although soil test P variation was not statistically different at P≤0.05, variation had both agronomic and environmental implications. This variation could be attributed to differences in site-specific conditions and management practices. Furthermore, soil loss potential across the study site predicted by the Revised Universal Soil Loss Equation (RUSLE) showed variation with a range of 3-15 tons/ha/yr. This variation was attributed to differences in topographic variations in the study site. There is a need for best management practices that control soil erosion to minimize P runoff into water bodies. KEYWORDS: Eutrophication, Geographic Information System, Phosphorus best management practises, Phosphorus runoff index, Soil erosion, Site-specific management.
Bohman, Brita. "Transboundary Law for Social-Ecological Resilience? : A Study on Eutrophication in the Baltic Sea Area". Doctoral thesis, Stockholms universitet, Juridiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-137829.
Texto completoBaltic Ecosystem Adaptive Management, BEAM
Paulsen, Sandra Silva. "Topics on the ecological economics of coastal zones : linking land uses, marine eutrophication, and fisheries /". Uppsala : Dept. of Economics, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/200773.pdf.
Texto completoSilva, Andrievisk Gaudencio Pereira e. "O que controla o crescimento do Fitopl?ncton em lagoas costeiras tropicais? um modelo para a lagoa de Extremoz (RN)". Universidade Federal do Rio Grande do Norte, 2014. http://repositorio.ufrn.br:8080/jspui/handle/123456789/16008.
Texto completoCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
The phytoplankton growth is dependent of several abiotic (nutrients, temperature) and biotic (predation by zooplankton) variables. In this work, a mathematical model was developed in Stella software to understand the planktonic dynamics of Extremoz Lagoon (RN) and to simulate scenarios of different environmental conditions. Data were collected monthly at two points of the lagoon. The state variables are phytoplankton and zooplankton and forcing variables are nitrogen, phosphorus and temperature. The results show that: a) the model are well coupled, especially when some constants assume different values; b) simulated nutrient concentrations reduction decreases phytoplankton biomass, but the increase of nutrients does not stimulate the growth; c) changes in the temperature does not change the phytoplankton biomass; d) changes in zooplankton biomass affect directly and reduces the phytoplankton, indicating a topdown control mechanism; e) changes in the nutrient concentration modified the biomass of zooplankton suggesting a rapid flow of energy between nutrients, phytoplankton and zooplankton and a ecosystem likely arranged in an inverted pyramid (higher concentration of zooplankton than phytoplankton)
O crescimento fitoplanct?nico ? dependente de uma s?rie de vari?veis abi?ticas (nutrientes, temperatura, luz) e bi?ticas (preda??o por zoopl?ncton e outros fitoplanct?fagos, bact?rias que provocam lise celular no fitopl?ncton). Neste trabalho, um modelo de compartimentos foi desenvolvido no software Stella para entender a din?mica planct?nica da Lagoa de Extremoz (RN) e simular diferentes cen?rios de altera??es em importantes vari?veis ambientais como fitopl?ncton e zoopl?ncton. As medi??es foram realizadas mensalmente em dois pontos da lagoa. As vari?veis de estado s?o fitopl?ncton e zoopl?ncton e as for?antes s?o nitrog?nio, f?sforo e temperatura. Os resultados mostram que: a) o modelo se ajusta bem aos dados, especialmente quando algumas constantes assumem diferentes valores; b) simula??es de redu??es das concentra??es de nutrientes diminuem a biomassa fitoplanct?nica, mas o aumento dos nutrientes n?o favorece o crescimento; c) altera??es na temperatura n?o modificam a biomassa fitoplanct?nica; d) modifica??es na biomassa de zoopl?ncton afetam diretamente e consideravelmente o fitopl?ncton, indicando um mecanismo de controle top-down; e) altera??es nas concentra??es de nutrientes modificam a biomassa do zoopl?ncton sugerindo um r?pido fluxo de energia entre nutrientes, fito e zoopl?ncton e um prov?vel ecossistema arranjado em pir?mide invertida (maior biomassa de zoopl?ncton do que fitopl?ncton)
Castejón, Silvo Inés. "Grazing on the epiphytic community of Posidonia oceanica (L.)Delile: An assessment of its relevance as a buffering process of eutrophication effects". Doctoral thesis, Universitat de les Illes Balears, 2011. http://hdl.handle.net/10803/84146.
Texto completoBonaglia, Stefano. "Control factors of the marine nitrogen cycle : The role of meiofauna, macrofauna, oxygen and aggregates". Doctoral thesis, Stockholms universitet, Institutionen för geologiska vetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-115036.
Texto completoAt the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 2: Manuscript.
Brady, Mark. "Managing agriculture and water quality : four essays on the control of large-scale nitrogen pollution /". Uppsala : Dept. of Economics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/a369-ab.html.
Texto completoAlly, Sayed Hanief. "An investigation into the effect of climate change on eutrophication and surface water quality of Voelvlei Dam with an emphasis on algal growth". Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80109.
Texto completoENGLISH ABSTRACT: The study of climate change and its effect on the eutrophication of surface waters is a current and critically important study for the well-being of the entire planet. Within the same emission scenario various probable climate change models outcomes are possible that affect the water quality of a body of water. Voëlvlei is an off-channel dam that supplies water to the city of Cape Town in the Western Cape Province of South Africa. Historically, it is a eutrophic dam and with climate change, its water quality is expected to worsen. Four statistically downscaled climate models are used to produce meteorological outputs that drive the hydrodynamic and water quality model. The times simulated were the present day (1971-1990), the intermediate future (2046-2065) and the distant future (2081-2100). The operating procedure was not expected to change for the dam and inflows and withdrawals were kept the same for each of the simulation periods. The water quality model CE-QUAL-W2 version 3.6 was used. The bathymetry was validated with measured data. The model was calibrated for temperature, phosphorus loading, ammonium, nitrite-nitrates and chlorophyll-a concentration. The model was used to predict a present day situation in the dam, which was the basis from which future changes would be assessed. The main driver for algal growth other than nutrients and light was water temperature, which was linked to air temperature. With climate change, the air temperature will raise and enhance algal growth. The limiting nutrient was phosphorus during the winter and the rest of the year nitrogen limits algal growth. In the present day, the dominant algal group was the green algae. With climate change an increase in the surface water temperature will increase evaporation and cause a decrease in the yield of the dam and further concentrates the algal nutrients. The surface phosphates concentration show increases in all months but especially in autumn. The total algal growth was increased annually and especially during autumn, signalling a seasonal shift and lengthening of the bloom season. The dominant algae however are still the green algae. There will be an increase in the annual concentration of diatoms. The green algae are present in the highest concentrations when compared to diatoms and cyanobacteria. The increase in its nutrients throughout the year as well as the increased water temperature allowed for unabated growth the entire year with peaks earlier in the year during autumn. Cyanobacteria are present at the surface for the entire year at significant concentrations but with intermediate and future climate change their concentrations does not change significantly. The result for cyanobacteria was inconclusive as the inter-variability between the climate models has the greatest variability for cyanobacteria, with 2 models showing an increased concentration and 2 a decreased concentration for intermediate and future time-period. For climate change, the water quality worsens especially during winter. With climate change water quality will worsen earlier in the year confirming a seasonal shift. The modelling of dissolved oxygen proved daunting as the results indicated supersaturation. The concentration of dissolved oxygen does not vary much as would be expected due to the warmer waters.
AFRIKAANSE OPSOMMING: Die studie van klimaatsverandering en die uitwerking daarvan op die eutrofiseering van die oppervlaktewater is 'n huidige en krities belangrike studie vir die welsyn van die hele planeet. Binne dieselfde emissie scenario, is verskeie moontlike uitkomste van klimaat modelle moontlik en die invloed op die kwaliteit van die oppervlakwater. Voëlvlei is 'n buite-bedding dam wat water verskaf aan die stad van Kaapstad in die Westelike Provinsie van Suid-Afrika. Histories is dit is 'n eutrofiese dam en met die verandering van die klimaat sal die kwaliteit van die water na verwagting verswak. Vier statisties afgeskaal klimaat modelle word gebruik om meterologiese toesttande te skep en hiedie word dan gebruik as invoer vir die hidrologiese and water kwaliteits model vir die huidige situasie (1971-1990), die intermediêre toekoms (2046-2065) en die verre toekoms (2081-2100). Die bedruifs-proses vir die dam was nie verwag om te verander nie en die invloei en onttrekkings was dieselfde gehou vir elk van die simulasie periodes. Die watergehalte model CE-QUAL-W2 3.6 was gebruik. Die bathymetrie was bevestig met gemete data. Die model was gekalibreer vir temperatuur, fosfor, ammonium, nitriet-nitrate en chlorofil-a konsentrasie. Die model was gebruik om 'n huidige situasie in die dam te simuleer, wat die basis vir klimaatsveranderinge sou wees. Die vernaamste aandrywer vir die alge groei anders as voedingstowwe en lig, was water temperatuur, wat met lugtemperatuur gekoppel was. Met klimaatsverandering word die lugtemperatuur verhoog en alge groei. Die beperkende voedingstof was fosfor gedurende die winter en die res van die jaar was die dam stikstof beperk. Die dominante alge-groep in die huidige situasie was die groen alge. Met klimaatsverandering stuig die temperatuur van die oppervlakwater, verhoog verdamping, veroorsaak afname in die vlak van die dam en verhoog die konsentrasie van die alge voedingstowwe. Die oppervlak fosfate konsentrasie verhoog in al die maande veral in die herfs. Die totale alge groei jaarliks en veral gedurende die herfs, 'n teken van 'n seisoenale verskuiwing en verlenging van die blom seisoen. Die dominante alge was nog steeds groen alge. Daar sal 'n toename in die jaarlikse konsentrasie van diatome wees. Die groen alge is in die hoogste konsentrasies vergelyk met diatome en sianobakterieë. Die toename in die voedingstowwe deur die loop van die jaar, sowel as die verhoogde watertemperatuur kan vir 'n onverpoos groei vir die hele jaar, veral in die herfs. Sianobakterieë is teenwoordig vir die hele jaar op beduidende konsentrasies, maar met intermediêre en toekomstige klimaat verander die konsentrasies nie veel nie. Die resultaat vir sianobakterieë was onoortuigend as gevolg van die inter-veranderlikheid tussen die klimaats modelle, met 2 modelle wat 'n toename in konsentrasie voorspel en 2 'n afname in konsentrasie voorspel. Vir klimaatsverandering, die kwaliteit van die water vererger veral in die winter. Met klimaatsverandering skyf hierdie verswakking van water kwaliteit na vroeër in die jaar, wat bevestig 'n seisoenale skui vir verergering. Die modellering van opgeloste suurstof was uitdagende en die resultate was super-versadig. Die konsentrasie van opgeloste suurstof wissel nie veel as wat verwag sou word as gevolg van die warmer water.
Libros sobre el tema "Eutrophication – Control"
Ansari, Abid A., Sarvajeet Singh Gill, Guy R. Lanza y Walter Rast, eds. Eutrophication: causes, consequences and control. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-9625-8.
Texto completoAnsari, Abid A. y Sarvajeet Singh Gill, eds. Eutrophication: Causes, Consequences and Control. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7814-6.
Texto completoControl of eutrophication in inland waters. New York: Ellis Horwood, 1991.
Buscar texto completoEutrophication of freshwaters: Rinciples, problems, and restoration. London: Chapman & Hall, 1992.
Buscar texto completoRast, Walter. Eutrophication management framework for the policy-maker. Paris: Unesco, 1989.
Buscar texto completoFish, William. Development of a field assay of iron limitation in nutrient rich lakes. Corvallis, Or: Water Resources Research Institute, Oregon State University, 1987.
Buscar texto completoHenderson-Sellers, Brian. Decaying lakes: The origins and control of cultural eutrophication. Chichester [West Sussex]: Wiley, 1987.
Buscar texto completoHozenka, Aichi-ken (Japan) Suishitsu. Fueiyōka bōshi taisaku kōshūkai (tekisuto). Nagoya-shi: Aichi-ken Kankyōbu Suishitsu Hozenka, 1988.
Buscar texto completoProgramme, United Nations Environment. Planning and Management of Lakes and Reservoirs: An Intergrated Approach to Eutrophication : Abridged Version -A Student's Guide. Osaka, Japan: UNEP, 2000.
Buscar texto completoHu po fu ying yang hua kong zhi. Beijing: Zhongguo huan jing ke xue chu ban she, 2011.
Buscar texto completoCapítulos de libros sobre el tema "Eutrophication – Control"
Ellis, K. V., G. White y A. E. Warn. "Eutrophication". En Surface Water Pollution and its Control, 219–34. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-09071-6_9.
Texto completoDorgham, Mohamed M. "Effects of Eutrophication". En Eutrophication: Causes, Consequences and Control, 29–44. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7814-6_3.
Texto completoCallisto, Marcos, Joseline Molozzi y José Lucena Etham Barbosa. "Eutrophication of Lakes". En Eutrophication: Causes, Consequences and Control, 55–71. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7814-6_5.
Texto completoSánchez-Carrillo, S., D. G. Angeler, M. Álvarez-Cobelas y R. Sánchez-Andrés. "Freshwater Wetland Eutrophication". En Eutrophication: causes, consequences and control, 195–210. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9625-8_9.
Texto completoKhan, M. Nasir y Firoz Mohammad. "Eutrophication: Challenges and Solutions". En Eutrophication: Causes, Consequences and Control, 1–15. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7814-6_1.
Texto completoRomstad, Eirik. "The Economics of Eutrophication". En Eutrophication: Causes, Consequences and Control, 45–53. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7814-6_4.
Texto completoDorgham, Mohamed M. "Eutrophication Problem in Egypt". En Eutrophication: causes, consequences and control, 171–94. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9625-8_8.
Texto completovan der Molen, Diederik T. y Paul C. M. Boers. "Eutrophication control in the Netherlands". En The Ecological Bases for Lake and Reservoir Management, 403–9. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-3282-6_34.
Texto completoRichardson, Katherine. "Conclusion, research and eutrophication control". En Eutrophication in Coastal Marine Ecosystems, 243–67. Washington, D. C.: American Geophysical Union, 1996. http://dx.doi.org/10.1029/ce052p0243.
Texto completoSalameh, Elias y Sura Harahsheh. "Eutrophication Processes in Arid Climates". En Eutrophication: causes, consequences and control, 69–90. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9625-8_3.
Texto completoActas de conferencias sobre el tema "Eutrophication – Control"
Qin, Wang, Xu Zong-xue, Jiang Xia y Gao Ji-xi. "Eutrophication in the Yuyuantan Lake". En 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.318.
Texto completoLinghong, Yu y Li Weiping. "Cause Analysis Eutrophication of Water Sources in Winter". En 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.442.
Texto completoWang, Lejuan y Zhihong Zou. "Study of Lake Eutrophication Tendency Based on Gray-Markov Forecast Model". En 2008 ISECS International Colloquium on Computing, Communication, Control, and Management. IEEE, 2008. http://dx.doi.org/10.1109/cccm.2008.374.
Texto completoShiping Zhu, Zaiwen Liu, Xiaoyi Wang, Jiping Xu, Xiaofeng Lian y Jun Dai. "Application of gray correlation analysis in eutrophication evaluative of water bloom". En 2010 8th World Congress on Intelligent Control and Automation (WCICA 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcica.2010.5553809.
Texto completoWang, Zhaoyang, Xiaoyi Wang, Li Wang, Jiping Xu, Huiyan Zhang y Yuting Bai. "Multi-dimensional normal cloud model evaluation of water eutrophication based on comprehensive weighting method". En 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8029022.
Texto completoWang, Shoubing, Tianxiang Yang, Yamin Cheng, Hao Zhang, Xiangrong Wang, Huan Hu, Xiaofeng Ruan y Zhengqiu Fan. "Performance of two ornamental plants for purifying eutrophication materials in urban riverway sewages". En 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6058156.
Texto completoLi, Fanxiu. "Application of Improved Set Pair Analysis Model for Evaluation of Lake Eutrophication". En 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.488.
Texto completoMOSIEJ, Józef y Agnieszka BUS. "NEW CHALLENGES IN RURAL WATER MANAGEMENT IN POLAND – SELECTED PROBLEMS". En Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.078.
Texto completoLi, Fangwen, Haiwu Jia, Songjiang Ma, Meiling Fu y Xiangjiang Wu. "Notice of Retraction: Discrimination and Prevention-Control of Lake and Reservoir Eutrophication Based on Trophic State Index". En 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5514845.
Texto completoGorbunova, Julia, Julia Gorbunova, Boris Chubarenko, Boris Chubarenko, Dmitry Domnin, Dmitry Domnin, Jens Christian Refsgaard y Jens Christian Refsgaard. "ASSESSMENT OF NUTRIENT LOAD ON THE PREGOLYA RIVER BASIN (VISTULA LAGOON CATCHMENT) FROM THE ANTHROPOGENIC SOURCES". En Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4316662769.
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