Academic literature on the topic 'Turbidity Victoria Yarra River'

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Journal articles on the topic "Turbidity Victoria Yarra River"

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DUCKER, SOPHIE C., and T. M. PERRY. "James Fleming: the first gardener on the River Yarra, Victoria." Archives of Natural History 13, no. 2 (June 1986): 123–40. http://dx.doi.org/10.3366/anh.1986.13.2.123.

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James Fleming, a convict gardener, was a member of the party in the Colonial Schooner Cumberland, on a journey of exploration to Bass Strait and Port Phillip Bay in 1802 and 1803; they were the first Europeans to visit the northern part of the Bay and discovered the River Yarra. The acting Surveyor General of N.S.W., Charles Grimes mapped the whole Bay. Fleming wrote a journal of the expedition and the descriptions of the country on Grimes's map. Later in 1803, he compiled a list of plants introduced into the colony of New South Wales and returned to England on H.M.S. Glatton in charge of a collection of Australian plants and seeds: A note sets the work of the Cumberland's expedition in the context of early discoveries and charting of Port Phillip Bay.
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Koster, W. M., D. R. Dawson, J. R. Morrongiello, and D. A. Crook. "Spawning season movements of Macquarie perch (Macquaria australasica) in the Yarra River, Victoria." Australian Journal of Zoology 61, no. 5 (2013): 386. http://dx.doi.org/10.1071/zo13054.

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The Macquarie perch (Macquaria australasica) is a threatened fish species that inhabits rivers and impoundments in south-eastern Australia. Previous studies have shown that Macquarie perch in impoundments exhibit synchronised upstream spawning migrations to shallow, fast-flowing habitats in the lower reaches of inflowing streams. There has been little study of movement behaviours of entirely riverine populations of Macquarie perch despite this being the species’ natural habitat. Here, radio-telemetry is used to test the hypothesis that riverine populations exhibit synchronised migrations during the spawning season. Thirty Macquarie perch in the Yarra River, Victoria, a translocated population outside of the species’ natural range, were radio-tagged before the late spring–early summer spawning season and their movements followed over a 10-month period (May 2011 to February 2012). Tagged fish typically occupied restricted reaches of stream (<450 m). Sixteen of the fish undertook occasional upstream or downstream movements (~250–1000 m) away from their usual locations, particularly associated with large flow variations during the spawning season. There was no evidence of synchronised migratory behaviour or movement of multiple fish to specific locations or habitats during the spawning season. Whilst further research over more years is needed to comprehensively document the spawning-related behaviours of riverine Macquarie perch, our study demonstrates that management of riverine populations of this threatened species cannot necessarily be based on the model of spawning behaviour developed for lacustrine populations.
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Pettigrove, V. "The importance of site selection in monitoring the macroinvertebrate communities of the Yarra River, Victoria." Environmental Monitoring and Assessment 14, no. 2-3 (May 1990): 297–313. http://dx.doi.org/10.1007/bf00677923.

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Fletcher, AR, AK Morison, and DJ Hume. "Effects of carp, Cyprinus carpio L., on communities of aquatic vegetation and turbidity of waterbodies in the lower Goulburn River basin." Marine and Freshwater Research 36, no. 3 (1985): 311. http://dx.doi.org/10.1071/mf9850311.

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Densities of carp, ranges of turbidity, and details of communities of aquatic vegetation from 1979 to 1982 are given for several waterbodies in the Goulburn River valley including the Broken River, near Shepparton, Victoria. The turbidity values at all sites were high, typical of Australian inland waterbodies. There was no association between high carp densities and high turbidity, and populations of carp did not appear to increase turbidity. Observed turbidity increases at each site appeared to be related to hydrological changes. Fluctuation of water levels was also an important factor determining the extent of aquatic vegetation communities. However, circumstantial evidence is presented that shallow-rooted and soft-leaved aquatic vegetation such as Potamogeton spp. have been reduced by carp.
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O’Bryan, Katie. "The changing face of river management in Victoria: The Yarra River Protection (Wilip-gin Birrarung murron) Act 2017 (Vic)." Water International 44, no. 6-7 (May 23, 2019): 769–85. http://dx.doi.org/10.1080/02508060.2019.1616370.

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Allinson, Mayumi, Fujio Shiraishi, Ryo Kamata, Shiho Kageyama, Daisuke Nakajima, Sumio Goto, and Graeme Allinson. "A Pilot Study of the Water Quality of the Yarra River, Victoria, Australia, Using In Vitro Techniques." Bulletin of Environmental Contamination and Toxicology 87, no. 5 (September 6, 2011): 591–96. http://dx.doi.org/10.1007/s00128-011-0394-9.

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Serena, M., J. L. Thomas, G. A. Williams, and R. C. E. Officer. "Use of stream and river habitats by the platypus, Ornithorhynchus anatinus, in an urban fringe environment." Australian Journal of Zoology 46, no. 3 (1998): 267. http://dx.doi.org/10.1071/zo98034.

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Radio-telemetry was used to monitor movements and burrow usage by O. anatinus living in the Yarra River catchment, about 20 km east-north-east of the central business district of Melbourne, Victoria. The home ranges of six adult or subadult animals were 2.9–7.3 km (mean ± s.d. = 4.6 ± 1.6 km) long, with individuals travelling up to 10.4 km (males) and 4.0 km (females) in a single overnight period. The mean home-range length of adult/subadult animals was significantly greater than that of juveniles (1.4–1.7 km, mean ± s.d. = 1.55 ± 0.2 km, n = 2). The animals utilised two drainage channels as well as 11.8 km of natural waterways, including the Yarra River (5 km), Mullum Mullum Creek (4 km) and Diamond Creek (2.8 km). Several animals travelled repeatedly below one-lane and two-lane bridges, confirming that these structures are not inherent barriers to platypus movement. In total, 57 platypus burrows were described, including 26 along the river, 29 along the creeks and 2 along drains. The horizontal distance from the water’s edge to burrow chambers was 0.4–3.7 m (mean ± s.d. = 1.5 ± 0.9 m, n = 41), with burrows found only in banks extending ≥ 0.5 m above the water. Platypus burrows occurred significantly more often than expected along undercut banks and in association with moderate-to-dense vegetation overhanging the water, and significantly less often at sites where banks had a convex profile at water level. As well, the amount of cover provided along the bank by shrubs/small trees and the ground layer of vegetation was significantly greater than expected at platypus burrows along the river. These attributes are believed to help conceal burrow entrances from predators as well as reduce burrow damage through erosion.
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Chaessman, BC. "Estimates of ecosystem metabolism in the La Trobe River, Victoria." Marine and Freshwater Research 36, no. 6 (1985): 873. http://dx.doi.org/10.1071/mf9850873.

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Diel oxygen-curve techniques were used to estimate gross primary productivity (PG), community respiration and net daily metabolism (NDM) for five reaches of the La Trobe River from headwaters to lowlands. All reaches were heterotrophic throughout the study (December 1980-November 1981) with NDM ranging from - 1 to -6 g O2 m-2. PG was consistently very low at the most upstream station and highest in the middle reaches of the river, where both benthic and planktonic contributions were important. At the most downstream station benthic productivity was negligible but planktonic productivity was appreciable in spring and autumn. PG in the river may be limited in the upper reaches by lack of light (due to shading by vegetation) and low levels of nutrients, and in the lower reaches by turbidity and increased depth.
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Sivapragasam, Chandrasekaran, Poomalai Saravanan, Saminathan Balamurali, and Nitin Muttil. "Ascertaining Time Series Predictability in Process Control – Case Study on Rainfall Prediction." MATEC Web of Conferences 203 (2018): 07002. http://dx.doi.org/10.1051/matecconf/201820307002.

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Rainfall prediction is a challenging task due to its dependency on many natural phenomenon. Some authors used Hurst exponent as a predictability indicator to ensure predictability of the time series before prediction. In this paper, a detailed analysis has been done to ascertain whether a definite relation exists between a strong Hurst exponent and predictability. The one-lead monthly rainfall prediction has been done for 19 rain gauge station of the Yarra river basin in Victoria, Australia using Artificial Neural Network. The prediction error in terms of normalized Root Mean Squared Error has been compared with Hurst exponent. The study establishes the truth of the hypothesis for only 6 stations out of 19 stations, and thus recommends further investigation to prove the hypothesis. This concept is relevant for any time series which need to be used for real time process control.
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Das, Sushil K., Amimul Ahsan, Md Habibur Rahman Bejoy Khan, Muhammad Atiq Ur Rehman Tariq, Nitin Muttil, and Anne W. M. Ng. "Impacts of Climate Alteration on the Hydrology of the Yarra River Catchment, Australia Using GCMs and SWAT Model." Water 14, no. 3 (February 1, 2022): 445. http://dx.doi.org/10.3390/w14030445.

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A rigorous evaluation of future hydro-climatic changes is necessary for developing climate adaptation strategies for a catchment. The integration of future climate projections from general circulation models (GCMs) in the simulations of a hydrologic model, such as the Soil and Water Assessment Tool (SWAT), is widely considered as one of the most dependable approaches to assess the impacts of climate alteration on hydrology. The main objective of this study was to assess the potential impacts of climate alteration on the hydrology of the Yarra River catchment in Victoria, Australia, using the SWAT model. The climate projections from five GCMs under two Representative Concentration Pathway (RCP) scenarios—RCP 4.5 and 8.5 for 2030 and 2050, respectively—were incorporated into the calibrated SWAT model for the analysis of future hydrologic behaviour against a baseline period of 1990–2008. The SWAT model performed well in its simulation of total streamflow, baseflow, and runoff, with Nash–Sutcliffe efficiency values of more than 0.75 for monthly calibration and validation. Based on the projections from the GCMs, the future rainfall and temperature are expected to decrease and increase, respectively, with the highest changes projected by the GFDL-ESM2M model under the RCP 8.5 scenario in 2050. These changes correspond to significant increases in annual evapotranspiration (8% to 46%) and decreases in other annual water cycle components, especially surface runoff (79% to 93%). Overall, the future climate projections indicate that the study area will become hotter, with less winter–spring (June to November) rainfall and with more water shortages within the catchment.
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Dissertations / Theses on the topic "Turbidity Victoria Yarra River"

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Das, S. K. "Management of Agricultural Non-point Source Pollution: A Case Study on Yarra River." Thesis, 2016. https://vuir.vu.edu.au/33599/.

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The development and use of any specific model depend on the availability of data and the hydrological settings of a country. Because of data limitations (especially water quality and land management data), the water quality models developed for Australian catchments are lumped/semi-distributed conceptual models. Even within these modelling frameworks, water quality component is empirical or generation rates-based. In this context, developing an effective water quality management plan in the data-poor conditions of Australia still remains as a major challenge for water catchment managers, despite huge investment on river health improvement programs. Physics-based distributed water quality models such as SWAT are most suitable for agricultural non-point source pollution studies. However, because of high data requirement and processing, the applications of these models are limited in many datapoor catchments. In this study, relevant input data sources and analysis techniques were addressed especially for sparsely available water quality data to assemble, and to rigorously calibrate and validate the SWAT based Middle Yarra Water Quality Model (MYWQM) for the case study area - Middle Yarra Catchment (MYC) of Victoria, Australia. The regression based model LOADEST was used for estimating sediment, and nutrient observed loads from monthly water quality grab sample data. The MYWQM was then used to develop a water quality management plan for agricultural non-point source pollution in the MYC. In general, the MYWQM was found capable of predicting streamflow, sediment and nutrient loads in the MYC. The model was also found effective for simulating individual and integrated effects of several Best Management Practices (BMPs) in the MYC. Moreover, the model showed that the in-stream processes if not considered can result in incorrect estimates when simulating BMPs in the model. Overall, the performance of the MYWQM on evaluating the BMPs in the MYC demonstrated that data-intensive physics-based models can be applied in the data-poor conditions of Australia.
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Shanmugasundram, Sithranjan. "Statistical analysis to detect climate change and its implications on water resources." Thesis, 2012. https://vuir.vu.edu.au/21305/.

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Climate change has affected diverse physical and biological systems worldwide. The impact of climate change on water resources is one of the most important. Even though the world’s water resources are rapidly deteriorating due to the combined effects of climate change, population growth and fast urban development, climate change has been posing new challenges to water resources managers. Uncertainty of the climatic pattern is a major challenge for water authorities to formulate effective water management policies according to the prevailing and future climatic conditions.
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Book chapters on the topic "Turbidity Victoria Yarra River"

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White, Robert E. "Putting it All Together." In Understanding Vineyard Soils. Oxford University Press, 2015. http://dx.doi.org/10.1093/oso/9780199342068.003.0009.

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In reality, there can be no generic definition of an “ideal soil” because a soil’s performance is influenced by the local climate, landscape characteristics, grape variety, and cultural practices and is judged in the context of a winegrower’s objectives for style of wine to be made, market potential, and profitability of the enterprise. This realization essentially acknowledges the long-established French concept of terroir: that the distinctiveness or typicity of wines produced in individual locations depends on a complex interaction of biophysical and human cultural factors, interpreted by many as meaning a wine’s sense of place. As discussed in “Soil Variability and the Concept of Terroir” in chapter 1, because of this interaction of factors that determine a particular terroir, it is not surprising that no specific relationships between one or more soil properties and wine typicity have been unequivocally demonstrated. While acknowledging this conclusion, it is still worthwhile to examine how variations in several single or combined soil properties can influence vine performance and fruit character. These properties are: • Soil depth • Soil structure and water supply • Soil strength • Soil chemistry and nutrient supply • Soil organisms Provided there are no subsoil constraints, the natural tendency of long-lived Vitis vinifera, on own roots or rootstocks, to root deeply and extensively gives it access to a potentially large store of water and nutrients. In sandy and gravely soils that are naturally low in nutrients, such as in the Médoc region of France, the Margaret River region in Western Australia, and the Wairau River plain, Marlborough region, New Zealand, the deeper the soil the better. A similar situation pertains on the deep sandy soils on granite in the Cauquenas region, Chile. However, such depth may be a disadvantage where soils are naturally fertile and rain is plentiful, as in parts of the Mornington Peninsula, King and Yarra Valley regions, Victoria, Australia, and the Willamette Valley region in Oregon (see figure 1.11, chapter 1), because vine growth is too vigorous and not in balance.
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