The depositional characteristics and oil potential of paleo Pearl river delta systems in the Pearl river mouth basin, South China Sea

Chen, Jishu; Xu, Shice; Sang, Jinyu

doi:10.1016/0040-1951(94)90013-2

Cited by 36 publications

(5 citation statements)

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“…Palaeogeographic reconstruction and tidal model time‐slices are labelled in the chronostratigraphic column. Basin names and references: N PRMB , North Pearl River Mouth Basin (Chen et al ., ; Zhu et al ., ); BB , Beibuwan Basin (Li et al ., ); QB , Quiongdongnan Basin (Huang et al ., ; Zhu et al ., ); PKB , Phu Khanh Basin (Lee & Watkins, ; Fyhn et al ., ); NCSB , Nam Con Son Basin (Matthews et al ., ; Lee et al ., ; Morley et al ., ); CLB , Cuu Long Basin (Lee et al ., ); ENB , East Natuna Basin (Darman & Sidi, ); WNB , West Natuna Basin (Morley et al ., ); PB , Penyu Basin (Madon & Anuar, ); MB , Malay Basin (Madon et al ., ; Morley et al ., ); LP , Luconia Province (Madon, ; Mohammad Yamin & Abolins, ); NE SB , North‐east Sarawak Basin (Mazlan, ); SW BBB , South‐west Baram‐Balabac Basin (Sandal, ; Hutchison, ); NE BBB , North‐east Baram‐Balabac Basin (Sandal, ; Hutchison, ). Formation names (in approximate relative age order from youngest to oldest for each basin) are given in the and in Fig.…”

Section: Methodsmentioning

confidence: 99%

Controls on tidal sedimentation and preservation: Insights from numerical tidal modelling in the Late Oligocene–Miocene South China Sea, Southeast Asia

et al. 2018

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Numerical tidal modelling, when integrated with other geological datasets, can significantly inform the analysis of physical sedimentation processes and the depositional and preservational record of ancient tide-influenced shoreline-shelf systems. This is illustrated in the Oligo-Miocene of the South China Sea, which experienced significant changes in basin physiography and where tide-influenced, shoreline-shelf deposition is preserved in ca 10 sub-basins. Palaeogeographic reconstructions, palaeotidal modelling and regional sedimentary facies analysis have been integrated in order to evaluate the spatial-temporal evolution and physiographic controls on tidal sedimentation and preservation during the ca 25 Myr Oligo-Miocene record in the South China Sea. Palaeotidal modelling, using an astronomically-forced and global tidal model (Fluidity) at a maximum 10 km resolution, indicates that spring tides along Late Oligocene to Middle Miocene coastlines were predominantly mesotidal-macrotidal and capable of transporting sand, which reflects two main conditions: (i) increased tidal inflow through wider ocean connections to the Pacific Ocean; and (ii) tidal amplification resulting from constriction of the tidal wave in a 'blind gulf' type of basin morphology. Since the Middle to Late Miocene, a reduction in the amplitude and strength of tides in the South China Sea was mainly due to diminishing tidal inflow from the Pacific Ocean caused by the northward movement of the Philippines and Izu-Bonin-Mariana arc. Sensitivity tests to palaeogeographic and palaeobathymetric uncertainty indicate that regional-scale (hundreds to thousands of kilometres) palaeogeographic changes influencing tidal inflow versus outflow can override local-scale (one to hundreds of kilometres) changes to tidal resonance and convergence effects (funnelling and shoaling), such as shelf width and shoreline geometry. Palaeotidal model results compare favourably to the distribution and sedimentary fabric of Oligo-Miocene, tide-influenced, shoreline-shelf successions in peripheral South China Sea basins. However, the preservation potential of tidal deposits is lower in open coastline environments, probably due to enhanced reworking during storms and river floods.

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Section: Methodsmentioning

confidence: 99%

Controls on tidal sedimentation and preservation: Insights from numerical tidal modelling in the Late Oligocene–Miocene South China Sea, Southeast Asia

et al. 2018

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“…The basin is bounded by a series of NE-NEE trending faults (Chen and Pei, 1993;Robinson et al, 1998;Franke et al, 2014;Jiang et al, 2015;. The pre-existing NEE-trending uplifts and faults divide the basin into the present structural framework of three uplift zones and two depression zones (Li, 1993;Chen et al, 2003;Shi et al, 2012;Zhong et al, 2014;Figure 1A), which are the Northern Uplifted Belt, the Northern Depression Zone (including Zhu Ⅰ Depression and Zhu Ⅲ Depression), the Central Uplifted Belt (including Shenhu Uplift, Panyu Uplift, and Dongsha Uplift), the Southern Depression Zone (consisting of Zhu Ⅱ Depression and Chaoshan Depression), and the Southern Uplifted Belt (Li, 1994;Robinson et al, 1998;Chen, 2000;Zhang et al, 2004;Sun et al, 2010;Leyla et al, 2015).…”

Section: Geological Settingmentioning

confidence: 99%

“…The Pearl River Mouth Basin (PRMB) is located at the northern continental margin of the South China Sea (SCS) and is a rift basin that developed on top of the Mesozoic fold basement (Yu, 1990;Zhou et al, 1995;Wu et al, 2001;Chen, 2003;Zhu et al, 2008;Xie et al, 2014). The PRMB has undergone a complex evolutionary process owing to the combined effects of the Indian, Eurasian, and Pacific plates (Zhong et al, 2014).…”

mentioning

confidence: 99%

Structural evolution and mechanism of multi-phase rift basins: A case study of the Panyu 4 Sag in the Zhu Ⅰ Depression, Pearl River Mouth Basin, South China Sea

Guo

2023

Front. Earth Sci.

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The study of changes in normal fault systems during different rift stages is important to understand the genesis and evolution of multi-phase rift basins, such as the Panyu 4 Sag in the Zhu Ⅰ Depression. Using 2D and 3D seismic data and analogue modelling, the Zhu Ⅰ Depression was characterized as a series of half-grabens bounded by NE-NEE-trending normal faults, it was found to have undergone two phases of the extension during the Paleogene. The Zhu Ⅰ Depression exhibited four fault sets with different strikes, including NNE, NE-NEE, EW, and NWW. The main controlling faults were NE-trending and EW-trending with high activity rates during Rift Phase 1 and Rift Phase 2, respectively. The average azimuths of the dominant strikes for type Ⅰa, type Ⅰb, and type Ⅱ faults were 75°, 85°, and 90°, which revealed that the minimum principal stress (σ3) directions during the rift phases 1 and 2 of the Zhu Ⅰ Depression were SSE (∼165°) and near-EW (∼180°), respectively. Two phases of structural-sedimentary evolution, with different directions and analogue modelling results, illustrated that the Panyu 4 Sag was formed as a superimposed basin under multi-phase anisotropic extension. The structural evolution of the Panyu 4 Sag since the Paleogene was mainly controlled by the combined effects of the Pacific, Eurasian, and Indian plates. Since the orientation of subduction of the Pacific plate changed from NNW to NWW, the stress field shifted from NW-SE-trending tension to S-N-trending tension, causing the superimposition of late near-E-W-oriented structural pattern on the early NE-oriented structural pattern.

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“…The net primary productivity (NPP) value was estimated using a climate-productivity relationship model for natural vegetation in China (Zhou & Zhang, 1996). Hydrochemical data were from monitoring data in 109 stations (Chen & He, 1999). MODIS 250 m Land cover data of the year 2001 from Finer Resolution Observation and Monitoring of Global Land Cover (FROM-GLC) (http:// data.ess.…”

Section: Environmental Variablesmentioning

confidence: 99%

“…The Pearl River runs through one of the most typical regions of continental tropical-subtropical karst landform in the world, characterised by high water total hardness, high Total Dissolved Solids (TDS) concentration, and low pH value (Chen & He, 1999). The higher water total hardness from limestone structure showed significant impacts on taxonomic diversity, and cave fishes in karst habitat exhibit a tremendous diversity of physiological, morphological, and sensory adaptations to water quality, that is, body colour and eye size variation in the different illumination visibility (Zhao et al, 2011), ion regulation corresponding to varying pH and ion concentration (Gonzalez et al, 2002).…”

Section: Drivers Of the Patterns Of Three Facets Of Diversitymentioning

confidence: 99%

Geology, climate, and hydrochemistry shape the spatial patterns of multiple diversity facets and functional traits of fishes

Huang

Kang

et al. 2022

Ecology of Freshwater Fish

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In a large river with significant environmental variations in space (i.e., microhabitat) or over time (i.e., seasonality and/or long-term trend), discovering the spatial changes in fish diversity, distributions, and functional traits would provide an important foundation for the understanding of ecosystem structure and function. In the Pearl River in China, three datasets as fish distribution, species functional traits, and environmental variables were constructed and sorted to (1) test the relationships between and congruence of taxonomic diversity, functional diversity, and phylogenetic diversity by a randomisation procedure, (2) map the spatial pattern of diversity and the correlation to environmental variables by maximal information coefficient, and (3) determine the fish traits tendency under environmental changes by the fourth-corner method. The Pearl River possesses the highest fish richness among all the rivers in China, with 438 freshwater fish species including 119 cave species. At basin scale, phylogenetic diversity showed faster change than functional diversity, suggesting a little divergence of functional traits despite high phenotypic or genetic diversity across species, as parallel evolution. However, at a small scale, when only considering cave fishes, the variation rate of species traits was faster than that of species increase, as evolutionary radiation in a variety of microhabitats. For all three aspects of diversity, random permutation tests confirmed that congruence values in each grid cell were significantly different from the random expectations. Besides widely accepted variables such as altitude, precipitation, and slope concerned with fish biogeography, hydrochemical variables showed influential impacts on the morphological and growth traits of fishes in the Pearl River characterised by the dominance of the karst habitat. K E Y W O R D Scave fishes, metrics of diversity, spatial pattern, trait, water quality | INTRODUC TI ONBiodiversity is the degree of variety in nature from genes to ecosystems (Millennium Ecosystem Assessment, 2005;Tilman, 1999), encompassing multiple attributes such as species richness (taxonomic diversity, TD), the presence of various evolutionary lineages (phylogenetic diversity, PD), and the variety of growth forms and resource use strategies (functional diversity, FD) (Faith, 2015;Le

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The depositional characteristics and oil potential of paleo Pearl river delta systems in the Pearl river mouth basin, South China Sea

Cited by 36 publications

References 1 publication

Controls on tidal sedimentation and preservation: Insights from numerical tidal modelling in the Late Oligocene–Miocene South China Sea, Southeast Asia

Controls on tidal sedimentation and preservation: Insights from numerical tidal modelling in the Late Oligocene–Miocene South China Sea, Southeast Asia

Structural evolution and mechanism of multi-phase rift basins: A case study of the Panyu 4 Sag in the Zhu Ⅰ Depression, Pearl River Mouth Basin, South China Sea

Geology, climate, and hydrochemistry shape the spatial patterns of multiple diversity facets and functional traits of fishes

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