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GAO Shu. Discover More Information from Sedimentary Records:Views Based on Contemporary Earth Surface Dynamic Processes[J]. Acta Sedimentologica Sinica, 2017, 35(5): 918-925. doi: 10.14027/j.cnki.cjxb.2017.05.005
Citation: GAO Shu. Discover More Information from Sedimentary Records:Views Based on Contemporary Earth Surface Dynamic Processes[J]. Acta Sedimentologica Sinica, 2017, 35(5): 918-925. doi: 10.14027/j.cnki.cjxb.2017.05.005

Discover More Information from Sedimentary Records:Views Based on Contemporary Earth Surface Dynamic Processes

doi: 10.14027/j.cnki.cjxb.2017.05.005
Funds:  National Natural Science Foundation of China, No. 41530962
  • Received Date: 2017-07-28
  • Rev Recd Date: 2017-08-20
  • Publish Date: 2017-10-10
  • The purpose of this paper is to discuss and review the methodology of sedimentary record studies adopted in stratigraphy and sedimentology and to propose new research directions. Sedimentary records are the major data source for the study on earth's history, which are dealt with by stratigraphy and sedimentology, using macro-temporal scale and high resolution analyses, respectively. However, the information thus obtained is associated mainly with the characteristics of the deposits or the environment in which the deposits were formulated, with little information on the processes and mechanisms for the formation of the records. Here I propose a method of "prospective modeling" to extract the process and mechanism information from the sedimentary record. Classical numerical modeling is a system containing governing equations with the same number of unknowns, with the model output being calibrated against observations. In contrast, prospective modeling depends on a combination of governing equations and working hypotheses. The working hypotheses are evaluated against sedimentary records. As such, once established, the model output reveals the process-mechanism information in the sedimentary records. Prospective modeling may also serve as a potential tool for analyzing the stratigraphic records formed in the geological past.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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  • Received:  2017-07-28
  • Revised:  2017-08-20
  • Published:  2017-10-10

Discover More Information from Sedimentary Records:Views Based on Contemporary Earth Surface Dynamic Processes

doi: 10.14027/j.cnki.cjxb.2017.05.005
Funds:  National Natural Science Foundation of China, No. 41530962

Abstract: The purpose of this paper is to discuss and review the methodology of sedimentary record studies adopted in stratigraphy and sedimentology and to propose new research directions. Sedimentary records are the major data source for the study on earth's history, which are dealt with by stratigraphy and sedimentology, using macro-temporal scale and high resolution analyses, respectively. However, the information thus obtained is associated mainly with the characteristics of the deposits or the environment in which the deposits were formulated, with little information on the processes and mechanisms for the formation of the records. Here I propose a method of "prospective modeling" to extract the process and mechanism information from the sedimentary record. Classical numerical modeling is a system containing governing equations with the same number of unknowns, with the model output being calibrated against observations. In contrast, prospective modeling depends on a combination of governing equations and working hypotheses. The working hypotheses are evaluated against sedimentary records. As such, once established, the model output reveals the process-mechanism information in the sedimentary records. Prospective modeling may also serve as a potential tool for analyzing the stratigraphic records formed in the geological past.

GAO Shu. Discover More Information from Sedimentary Records:Views Based on Contemporary Earth Surface Dynamic Processes[J]. Acta Sedimentologica Sinica, 2017, 35(5): 918-925. doi: 10.14027/j.cnki.cjxb.2017.05.005
Citation: GAO Shu. Discover More Information from Sedimentary Records:Views Based on Contemporary Earth Surface Dynamic Processes[J]. Acta Sedimentologica Sinica, 2017, 35(5): 918-925. doi: 10.14027/j.cnki.cjxb.2017.05.005

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