Petrological parameters of sands and sandstones from DSDP and ODP holes in arc-related areas

Detrital modes for 524 deep-marine sand and sandstone samples recovered on circum-Pacific, Caribbean, and Mediterranean legs of the Deep Sea Drilling Project and the Ocean Drilling Program form the basis for an actualistic model for arc-related provenance. This model refines the Dickinson and Suczek (1979) and Dickinson and others (1983) models and can be used to interpret the provenance/tectonic history of ancient arc-related sedimentary sequences. Four provenance groups are defined using QFL, QmKP, LmLvLs, and LvfLvmiLvl ternary plots of site means: (1) intraoceanic arc and remnant arc, (2) continental arc, (3) triple junction, and (4) strike-slip-continental arc. Intraoceanic- and remnant-arc sands are poor in quartz (mean QFL%Q < 5) and rich in lithics (QFL%L > 75); they are predominantly composed of plagioclase feldspar and volcanic lithic fragments. Continental-arc sand can be more quartzofeldspathic than the intraoceanic- and remnant-arc sand (mean QFL%Q values as much as 10, mean QFL%F values as much as 65, and mean QmKP%Qm as much as 20) and has more variable lithic populations, with minor metamorphic and sedimentary components. The triple-junction and strike-slip-continental groups compositionally overlap; both are more quartzofeldspathic than the other groups and show highly variable lithic proportions, but the strike-slip-continental group is more quartzose. Modal compositions of the triple junction group roughly correlate with the QFL transitional-arc field of Dickinson and others (1983), whereas the strike-slip-continental group approximately correlates with their dissected-arc field.

Lithic grain and mineral composition of sand and sandstones from the Japan and Mariana forearc and backarc (Table 3)

One hundred and twenty point counts of Oligocene to Recent sands and sandstones from DSDP sites in the Japan and Mariana intraoceanic forearc and backarc basins demonstrate that there is a clear compositional difference between the continentally influenced Japan forearc and backarc sediments, and the totally oceanic Mariana forearc and backarc sediments. Japan forearc sediments average 10 QFL%Q, 0.82 P/F, 2 Framework%Mica, 74 LmLvLst%Lv, and 19 LmLvLst%Lst. In contrast, the Mariana forearc and backarc sediments average 0 QFL%Q, 1.00 P/F, 0 Framework%Mica, 98 LmLvLst%Lv, and 1 LmLvLst%Lst. Sediment compositions in the Japan region are variable. The Honshu forearc sediments average 5 QFL%Q, 0.94 P/F, 1 Framework%Mica, 82 LmLvLst%Lv, and 15 LmLvLst%Lst. The Yamato Basin sediments (DSDP Site 299) average 13 QFL%Q, 0.70 P/F, 3 Framework%Mica, 78 LmLvLst%Lv, and 14 LmLvLst%Lst. The Japan Basin sediments (DSDP Site 301) average 24 QFL%Q, 0.54 P/F, 9 Framework%Mica, 58 LmLvLst%Lv, and 21 LmLvLst%Lst. P/F and Framework%Mica are higher in the Yamato Basin sediments than in the forearc sediments due to an increase in modal potassium content of volcanic rocks from east to west, on the island of Honshu. Site 301 possesses a higher QFL%Q and LmLvLst%Lst, and lower LmLvLst%Lv than Site 299 because it receives sediment from the Asian mainland as well as the island of Honshu. DSDP Site 293 sediments, in the Mariana region, average 0.97 P/F, 1 Framework%Mica, 13 LmLvLst%Lm and 83 LmLvLst%Lv, due to their proximity to the island of Luzon. The remaining Mariana forearc and backarc sediments show a uniform composition.

Frequency distribution of graded turbidite cycles in DSDP sediments from the Coral Sea Basin and the Sea of Japan

At sites 390 and 392 (Deep Sea Drilling Project, Leg 44) on the Blake nose, thoroughly lithified Lower Cretaceous limestone more than 250 m thick is abruptly overlain by a condensed sequence of Barremian to Eocene pelagic carbonate ooze. The Lower Cretaceous sediments consist of three units: limestone with moldic porosity (base), oolitic limestone, and fenestral limestone. Subaerial diagenesis of the limestone section is recorded by (1) caverns with vertical dimensions of up to 10 m, (2) stalactitic intergranular cement, and (3) meniscus sediment (or cement). Compatible with these subaerial features are mud cracks, fenestral fabrics, intraclasts, and cryptalgal structures. Inasmuch as these shallow-water and tidal-flat deposits are now beneath 2,607 m of sea water (plus 99 m of younger sediments), they serve to dramatize the apparent degree of Barremian and later subsidence of this part of the Atlantic outer continental shelf. Porosity and permeability are high in vuggy samples, which are common in the skelmoldic limestone. Cementation has destroyed most of the extensive primary porosity of the two younger units.

C4-C7 alkenones in deep sea sediments

It is believed that C4 to C7 hydrocarbons in petroleum are formed by the cracking of organic matter at depths generally exceeding 1,000 m at temperatures in excess of 50 °C (Cordel, 1972; Dow, 1974; Tissot et al., 1974)). Also, none of the alkanes in the butane-heptane range are formed biologically as far as is known at present. Consequently, it is thought that they do not occur in shallow, Recent sediments. In 1962, I analysed 22 samples of Recent sediments from 7 different environments and verified that these hydrocarbons were not present at the p.p.m. level (Dunton and Hunt, 1962) although traces of a few hydrocarbons such as butane, isobutane, isopentane and n-heptane have been found (Sokolov, 1957; Veber and Turkeltaub, 1958; Erdman et al., 1958; Emery and Hoggan, 1958). No identification of individual hexanes or heptanes has been reported except when there has been clear evidence of seepage from deeper source sediments (McIver, 1973).

Physical oceanography from the TRACTOR project

Primary Objectives - Describe and quantify the present strength and variability of the circulation and oceanic processes of the Nordic Seas regions using primarily observations of the long term spread of a tracer purposefully released into the Greenland Sea Gyre in 1996. - Improve our understanding of ocean processes critical to the thermaholine circulation in the Nordic Seas regions so as to be able to predict how this region may respond to climate change. - Assess the role of mixing and ageing of water masses on the carbon transport and the role of the thermohaline circulation in carbon storage using water transports and mixing coefficients derived from the tracer distribution. Specific Objectives Perform annual hydrographic, chemical and SF6 tracer surveys into the Nordic regions in order to: - Measure lateral and diapycnal mixing rates in the Greenland Sea Gyre and in the surrounding regions. - Document the depth and rates of convective mixing in the Greenland Sea using the SF6 and the water masses characteristics. - Measure the transit time and transport of water from the Greenland Sea to surrounding seas and outflows. Document processes of water mass transformation and entrainment occurring to water emanating from the central Greenland Sea. - Measure diapycnal mixing rates in the bottom and margins of the Greenland Sea basin using the SF6 signal observed there. Quantify the potential role of bottom boundary-layer mixing in the ventilation of the Greenland Sea Deep Water in absence of deep convection. Monitor the variability of the entrainment of water from the Greenland Sea using time series auto-sampler moorings at strategic positions i.e., sill of the Denmark Strait, Labrador Sea, Jan Mayen fracture zone and Fram Strait. Relate the observed variability of the tracer signal in the outflows to convection events in the Greenland Sea and local wind stress events. Obtain a better description of deepwater overflow and entrainment processes in the Denmark Strait and Faeroe Bank Channel overflows and use these to improve modelling of deepwater overflows. Monitor the tracer invasion into the North Atlantic using opportunistic SF6 measurements from other cruises: we anticipate that a number of oceanographic cruises will take place in the north-east Atlantic and the Labrador Sea. It should be possible to get samples from some cruises for SF6 measurements. Use process models to describe the spread of the tracer to achieve better parameterisation for three-dimensional models. One reason that these are so resistant to prediction is that our best ocean models are as yet some distance from being good enough, to predict climate and climate change.