Heavy Metals in Sediments from the Central New South Wales Coastal Region

1978 ◽  
Vol 29 (6) ◽  
pp. 777 ◽  
Author(s):  
A de Forest ◽  
SP Murphy ◽  
RW Pettis

Coastal marine sediments were collected from 20 oceanographic stations along the central New South Wales coastal region in September 1975. Chemical and physical properties of the sediments were determined to establish analytical methods suitable for use in environmental assessment studies. Statistical analyses of the data indicated that this region is typical of an unpolluted continental shelf region, in which the sea bed is mainly composed of sand with some silt.

1987 ◽  
Vol 38 (5) ◽  
pp. 591 ◽  
Author(s):  
GE Batley

The distribution and bioavailability of heavy metals in waters and sediments from Lake Macquarie (N.S.W.) have been examined. Elevated concentrations of zinc, lead, cadmium and copper detected in surface sediments and waters from the northern end of the lake are attributable to discharges from a lead-zinc smelter on Cockle Creek. The majority of the metals are in bioavailable forms and are shown to be accumulated in seagrasses, seaweeds and bivalves. Calculations indicate that, at the current rates of discharge, the concentrations of bioavailable metals in newly-deposited sediments should not be deleterious. Elutriate tests showed that there will be no significant mobilization of metals during dredging operations to remove the contaminated sediments.


1989 ◽  
Vol 11 (2) ◽  
pp. 61 ◽  
Author(s):  
PJS Fleming ◽  
TJ Korn

A monthly survey involving officers from eastern New South Wales Pastures Protection Boards was conducted over four years from 1982 to 1985. Information was collected on the number and type of livestock attacked within each board district, sightings of wild dogs, the number of wild dogs kiied, the method by which they were kiied and the locations at which the observations occurred. A total of 25,644 livestock animals were reported killed or wounded from four regions; the North-East Coastal Region, the North-East Tablelands Region, the Central-East Region and South-East Region. Sheep were the most commonly attacked domestic animals followed by cattle and goats. Regional differences were apparent in the type of livestock killed and seasonal patterns of predation were evident. We recommend that annual control programmes be brought forward from June/July to late April in order to precede predation peaks.


1991 ◽  
Vol 31 (4) ◽  
pp. 545 ◽  
Author(s):  
GE Stovold ◽  
HJP Smith

Rainfed soybean (Glycine max) crops in the northern coastal region of New South Wales were surveyed from 1985 to 1987 for the prevalence and severity of diseases. Sixteen diseases were recorded over the 3 seasons, but only rust (Phakopsora pachyrhizi), black leaf blight (Arkoola nigra) and bacterial pustule (Xanthomonas campestris pv. glycines) were present each season. Rust was the most significant disease, infecting 50, 20 and 6% of crops in 1985, 1986 and 1987. The severity of rust was related to rainfall and temperature after flowering, with the most severe outbreaks in the higher rainfall area of the lower Richmond Valley. Black leaf blight was also significant and occurred in 39, 10 and 27% of crops in 1985, 1986 and 1987, but in most crops severity was low. The other diseases recorded were downy mildew (Peronospora manschurica), root and stem rot (Phytophthora megasperma f. sp. glycinea), stem canker (Rhizoctonia sp.), pod and stem blight (Phomopsis spp.), anthracnose (Colletotrichum spp.), seedling blight (Rhizoctonia sp.), stem rot (Phytophthora sp.), white mould (Sclerotinia sclerotiorum), flower blight (Botrytis cinerea), leaf spot (Phoma sp.), bacterial blight (Pseudomonas syringae pv. glycinea), mosaic (soybean mosaic virus) and orange bark (not identified). All of these diseases were generally of low prevalence and severity.


1988 ◽  
Vol 41 (4) ◽  
pp. 571 ◽  
Author(s):  
I R Littlejohns ◽  
RW Burton

Three surveys of cattle for bluetongue (BLU) antibody were conducted over the years 1978-1980 in coastal areas of New South Wales. In each survey the samples were identified by age.


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