Literatura científica selecionada sobre o tema "Catchment loading"
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Artigos de revistas sobre o assunto "Catchment loading"
Bärlund, I., K. Rankinen, M. Järvinen, E. Huitu, N. Veijalainen e L. Arvola. "Three approaches to estimate inorganic nitrogen loading under varying climatic conditions from a headwater catchment in Finland". Hydrology Research 40, n.º 2-3 (1 de abril de 2009): 167–76. http://dx.doi.org/10.2166/nh.2009.058.
Texto completo da fonteReader, H. E., C. A. Stedmon e E. S. Kritzberg. "Seasonal contribution of terrestrial organic matter and biological oxygen demand to the Baltic Sea from three contrasting river catchments". Biogeosciences 11, n.º 12 (27 de junho de 2014): 3409–19. http://dx.doi.org/10.5194/bg-11-3409-2014.
Texto completo da fonteRankinen, Katri, Eila Turtola, Riitta Lemola, Martyn Futter e José Enrique Cano Bernal. "Nutrient Load Mitigation with Wintertime Cover as Estimated by the INCA Model". Water 13, n.º 4 (9 de fevereiro de 2021): 450. http://dx.doi.org/10.3390/w13040450.
Texto completo da fonteReader, H. E., C. A. Stedmon e E. S. Kritzberg. "Seasonal contribution of terrestrial organic matter and biological oxygen demand to the Baltic Sea from three contrasting river catchments". Biogeosciences Discussions 11, n.º 1 (22 de janeiro de 2014): 1355–82. http://dx.doi.org/10.5194/bgd-11-1355-2014.
Texto completo da fonteAcharya, Sudip. "Land use and land cover changes in the catchments impact the ecosystem in Phewa, Begnas, and Rupa lakes, Nepal". Journal of Nepal Geological Society 60 (16 de setembro de 2020): 195–205. http://dx.doi.org/10.3126/jngs.v60i0.31267.
Texto completo da fonteKubiak, Jacek, Sylwia Machula, Dorota Oszkinis e Dominik Rokicki. "Anthropogenic pressure on the largest lakes of the River Tywa catchment". Limnological Review 17, n.º 3 (1 de setembro de 2017): 123–32. http://dx.doi.org/10.1515/limre-2017-0012.
Texto completo da fonteEngstrom, Daniel R. "Influence of Vegetation and Hydrology on the Humus Budgets of Labrador Lakes". Canadian Journal of Fisheries and Aquatic Sciences 44, n.º 7 (1 de julho de 1987): 1306–14. http://dx.doi.org/10.1139/f87-154.
Texto completo da fonteKronvang, B., P. Græsbøll, S. E. Larsen, L. M. Svendsen e H. E. Andersen. "Diffuse nutrient losses in Denmark". Water Science and Technology 33, n.º 4-5 (1 de fevereiro de 1996): 81–88. http://dx.doi.org/10.2166/wst.1996.0491.
Texto completo da fonteWang, Kunyang, Shin-ichi Onodera e Mitsuyo Saito. "Evaluation of nitrogen loading in the last 80 years in an urbanized Asian coastal catchment through the reconstruction of severe contamination period". Environmental Research Letters 17, n.º 1 (29 de dezembro de 2021): 014010. http://dx.doi.org/10.1088/1748-9326/ac3ced.
Texto completo da fonteThomas, Z., B. W. Abbott, O. Troccaz, J. Baudry e G. Pinay. "Proximate and ultimate controls on carbon and nutrient dynamics of small agricultural catchments". Biogeosciences Discussions 12, n.º 18 (17 de setembro de 2015): 15337–67. http://dx.doi.org/10.5194/bgd-12-15337-2015.
Texto completo da fonteTeses / dissertações sobre o assunto "Catchment loading"
Bossis, Ryan Christopher. "Application of the SWAT Model to Bacterial Loading rates in Kranji Catchment, Singapore". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66825.
Texto completo da fonteCataloged from PDF version of thesis.
Includes bibliographical references (p. 89-92).
Despite its tropical climate and abundant rainfall, Singapore is classified as a water scarce country. To protect its limited freshwater resources for both consumption and recreation, Singapore's Public Utilities Board (PUB) has created the Active, Beautiful, and Clean (ABC) campaign. In light of this program, the Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU) in Singapore have partnered for various water quality research projects, including sampling of Choa Chu Kang, Bras Basah, Verde, and agricultural areas throughout Kranji Catchment in January 2011. Currently, bacterial levels in Kranji Reservoir are measured by sampling, which is labor intensive and delayed. As an alternative, a model of the surrounding watershed was constructed to estimate bacterial loading to the reservoir as driven by changing weather conditions. The watershed stream network was recreated using ArcSWAT, a version of the Soil and Water Assessment Tool used with geographic information system software. This model is based on a model previously created by Granger (2010). A major improvement is the specification of bacterial loading rates by land use and agriculture type. In order to estimate land-use-specific loading rates, numerous field samples were collected and analyzed for bacterial concentration in January 2011. Nonpoint source bacteria concentrations were estimated from field sample concentrations and applied to the land continuously in the model. Using weather data from January 2005 to February 2007, the model was run twice on a daily time step. The first run included only nonpoint sources, while the second included 23 sewage treatment plant point sources throughout the catchment. Simulated results were compared to independent samples taken in 2009 by Nshimyimana (2010) and indicate a general agreement of order of magnitude, with most measured values within the predicted range. The magnitudes of the nonpoint source run achieved a better fit with field data, although the point source run produced concentration frequency distributions that are approximately lognormal, a characteristic typical of environmental bacteria concentration distributions.
by Ryan Christopher Bossis.
M.Eng.
Lindgren, Georg. "Physical process effects on catchment-scale pollutant transport-attenuation, coastal loading and abatement efficiency". Doctoral thesis, KTH, Mark- och vattenteknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3900.
Texto completo da fonteQC 20100908
Lindgren, Georg A. "Physical process effects on catchment-scale pollutant transport-attenuation, coastal loading and abatement efficiency /". Stockholm : Department of Land and Water Resources Engineering, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3900.
Texto completo da fonteWadworth-Watts, Henry David. "A hydrological and nutrient load balance for the Lake Clearwater catchment, Canterbury, New Zealand". Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2013. http://hdl.handle.net/10092/7797.
Texto completo da fonteChingombe, Wisemen. "Effects of land-cover - land-use on water quality within the Kuils - Eerste River catchment". Thesis, University of Western Cape, 2012. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5893_1373463134.
Texto completo da fonteThe most significant human impacts on the hydrological system are due to land-use change. The conversion of land to agricultural, mining, industrial, or residential uses significantly alters the hydrological characteristics of the land surface and modifies pathways and rates of water flow. If this occurs over large or critical areas of a catchment, it can have significant short and long-term impacts, on the quality of water. While there are methods available to quantify the pollutants in surface water, methods of linking non-point source pollution to water quality at catchment scale are lacking. Therefore, the research presented in this thesis investigated modelling techniques to estimate the effect of land-cover type on water quality. The main goal of the study was to contribute towards improving the understanding of how different land-covers in an urbanizing catchment affect surface water quality. The aim of the research presented in this thesis was to explain how the quality of surface runoff varies on different land-cover types and to provide guidelines for minimizing water pollution that may be occurring in the Kuils-Eerste River catchment. The research objectives were
(1) to establish types and spatial distribution of land-cover types within the Kuils-Eerste River catchment, (2) to establish water quality characteristics of surface runoff from specific land-cover types at the experimental plot level, (3) to establish the contribution of each land-cover type to pollutant loads at the catchment scale. Land-cover characteristics and water quality were investigated using GIS and Remote Sensing tools. The application of these tools resulted in the development of a land-cover map with 36 land classifications covering the whole catchment. Land-cover in the catchment is predominantly agricultural with vineyards and grassland covering the northern section of the catchment. Vineyards occupy over 35% of the total area followed by fynbos (indigenous vegetation) (12.5 %), open hard rock area (5.8 %), riparian forest (5.2 %), mountain forest 
 
(5 %), dense scrub (4.4 %), and improved grassland (3.6 %). The residential area covers about 14 %. Roads cover 3.4 % of the total area. Surface runoff is responsible for the transportation of large quantities of pollutants that affect the quality of water in the Kuils-Eerste River catchment. The different land-cover types and the distribution and concentration levels of the pollutants are not uniform. Experimental work was conducted at plot scale to understand whether land-cover types differed in their contributions to the concentration of water quality attributes emerging from them. Four plots each with a length of 10 m to 12 m and 5 m width were set up. Plot I was set up on open grassland, Plot II represented the vineyards, Plot III covered the mountain forests, and Plot IV represented the fynbos land-cover. Soil samples analyzed from the experimental plots fell in the category of sandy soil (Sa) with the top layer of Plot IV (fynbos) having loamy sand (LmSa). The soil particle sizes range between fine sand (59.1 % and 78.9 %) to coarse sand (between 7 % and 22 %). The content of clay and silt was between 0.2 % and 2.4 %. Medium sand was between 10.7 % and 17.6 %. In terms of vertical distribution of the particle sizes, a general decrease with respect to the size of particles was noted from the top layer (15 cm) to the bottom layer (30 cm) for all categories of the particle sizes. There was variation in particle size with depth and location within the experimental plots.Two primary methods of collecting water samples were used
grab sampling and composite sampling. The quality of water as represented by the samples collected during storm events during the rainfall season of 2006 and 2007 was 
used to establish  
water quality characteristics for the different land-cover types. The concentration of total average suspended solids was highest in the following land-cover types, cemeteries (5.06 mg L-1), arterial roads/main roads (3.94 mg L-1), low density residential informal squatter camps (3.21 mg L-1) and medium density residential informal townships (3.21 mg L-1). Chloride concentrations were high on the following land-cover types, recreation grass/ golf course (2.61 mg L-1), open area/barren land (1.59 mg L-1), and improved grassland/vegetation crop (1.57 mg L-1). The event mean concentration (EMC) values for NO3-N were high on commercial mercantile (6 mg L-1) and water channel (5 mg L-1). The total phosphorus concentration mean values recorded high values on improved grassland/vegetation crop (3.78 mg L-1), medium density residential informal townships (3mgL-1) and low density residential informal squatter camps (3 mg L-1). Surface runoff may also contribute soil particles into rivers during rainfall events, particularly from areas of disturbed soil, for example areas where market gardening is taking place. The study found that different land cover types contributed differently to nonpoint source pollution. A GIS model was used to estimate the diffuse pollution of five pollutants (chloride, phosphorus, TSS, nitrogen and NO3-N) in response to land cover variation using water quality data. The GIS model linked land cover information to diffuse nutrient signatures in response to surface runoff using the Curve Number method and EMC data were developed. Two models (RINSPE and N-SPECT) were used to estimate nonpoint source pollution using various GIS databases. The outputs from the GIS-based model were compared with recommended water quality standards. It was found that the RINSPE model gave accurate results in cases where NPS pollution dominate the total pollutant inputs over a given land cover type. However, the N-SPECT model simulations were too uncertain in cases where there were large numbers of land cover types with diverse NPS pollution load. All land-cover types with concentration values above the recommended national water quality standard were considered as areas that needed measures to mitigate the adverse effects of nonpoint pollution. The expansion of urban areas and agricultural land has a direct effect on land cover types within the catchment. The land cover changes have adverse effect which has a potential to contribute to pollution.
Singh, Durgesh Kumar. "Assessment of nutrient loading in lake Ringsjön from the catchment of Hörbyån Creek in Southern Sweden". Thesis, KTH, Mark- och vattenteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171855.
Texto completo da fonteKeogh, Andrew James, of Western Sydney Hawkesbury University, Faculty of Science and Technology e School of Applied and Environmental Sciences. "Systems management of Glenbrook Lagoon, New South Wales". THESIS_FST_AES_Keogh_A.xml, 1996. http://handle.uws.edu.au:8081/1959.7/423.
Texto completo da fonteMaster of Science (Hons)
Ayuk, James Ayuk. "Modelling of nonpoint source pollution in the Kuils River Catchment, Western Cape - South Africa". Thesis, University of the Western Cape, 2008. http://hdl.handle.net/11394/3131.
Texto completo da fonteJaafar, Noraini. "Process-based modelling of river flow and nitrate loadings in the Ythan catchment, Scotland". Thesis, University of Stirling, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244702.
Texto completo da fonteSpooner, Daniel Ron, e n/a. "Nutrient, organic carbon and suspended solid loadings in two ICOLLs, NSW Australia : biogeochemical responses". University of Canberra. Resource, Environmental & Heritage Sciences, 2005. http://erl.canberra.edu.au./public/adt-AUC20070129.130745.
Texto completo da fonteCapítulos de livros sobre o assunto "Catchment loading"
Chow, Ming Fai, e Zulkifli Yusop. "Contributions of Dry and Wet Weather Runoffs to Annual Pollutant Loading in Tropical Urban Catchments". In GCEC 2017, 1511–21. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8016-6_109.
Texto completo da fontePackham, Ian, Eva Mockler e Michael Bruen. "Development of a Catchment Management Tool to Assess Environmental Risk from Nutrient Loadings Using Open Source GIS". In IFIP Advances in Information and Communication Technology, 262–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41151-9_25.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Catchment loading"
Domnin, Dmitry, Dmitry Domnin, Boris Chubarenko, Boris Chubarenko, Rene Capell e Rene Capell. "MATHEMATICAL MODELING OF NUTRIENT LOADING FROM SMALL CATCHMENTS OF THE VISTULA LAGOON". In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b93dfde6248.02952871.
Texto completo da fonteDomnin, Dmitry, Dmitry Domnin, Boris Chubarenko, Boris Chubarenko, Rene Capell e Rene Capell. "MATHEMATICAL MODELING OF NUTRIENT LOADING FROM SMALL CATCHMENTS OF THE VISTULA LAGOON". In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b431754b7a5.
Texto completo da fonteGorbunova, Julia, Julia Gorbunova, Boris Chubarenko, Boris Chubarenko, Dmitry Domnin, Dmitry Domnin, Jens Christian Refsgaard e Jens Christian Refsgaard. "ASSESSMENT OF NUTRIENT LOAD ON THE PREGOLYA RIVER BASIN (VISTULA LAGOON CATCHMENT) FROM THE ANTHROPOGENIC SOURCES". In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b94681d1a25.68574351.
Texto completo da fonteGorbunova, Julia, Julia Gorbunova, Boris Chubarenko, Boris Chubarenko, Dmitry Domnin, Dmitry Domnin, Jens Christian Refsgaard e Jens Christian Refsgaard. "ASSESSMENT OF NUTRIENT LOAD ON THE PREGOLYA RIVER BASIN (VISTULA LAGOON CATCHMENT) FROM THE ANTHROPOGENIC SOURCES". In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4316662769.
Texto completo da fonteFerris, Gerry, Patrick Grover e Aron Zahradka. "Real Time Rainfall Monitoring for Pipeline Geohazards". In ASME-ARPEL 2021 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/ipg2021-63162.
Texto completo da fonte"Modelling the runoff, nutrient and sediment loadings in the Torrens river catchment, South Australia using SWAT". In 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.l23.nguyen.
Texto completo da fonteRelatórios de organizações sobre o assunto "Catchment loading"
Desiderati, Christopher. Carli Creek Regional Water Quality Project: Assessing Water Quality Improvement at an Urban Stormwater Constructed Wetland. Portland State University, 2022. http://dx.doi.org/10.15760/mem.78.
Texto completo da fonte