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1. Reactive Transport Modeling of Long-Term CO2 Sequestration Mechanisms at the Shenhua CCS Demonstration Project, China | |||
YANG Guodong,LI Yilian,ATRENS Aleks,LIU Danqing,WANG Yongsheng,JIA Li,LU Yu | |||
Earth Science 31 May 2016 | |||
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Abstract:Carbon dioxide injection into deep saline aquifers results in a variety of strongly coupled physical and chemical processes. In this study, reactive transport simulations using a 2-D radial model were performed to investigate the fate of the injected CO2, the effect of CO2-water-rock interactions on mineral alteration, and the long-term CO2 sequestration mechanisms of the Liujiagou Formation sandstone at the Shenhua CCS pilot site of China. Carbon dioxide was injected at a constant rate of 0.1 Mt/year for 30 years, and the fluid flow and geochemical transport simulation was run for a period of 10,000 years by the TOUGHREACT code according to the underground conditions of the Liujiagou Formation. The results show that different trapping phases of CO2 vary with time. Sensitivity analyses indicate that plagioclase composition and chlorite presence are the most significant determinants of stable carbonate minerals and CO2 mineral trapping capacity. For arkosic arenite in the Liujiagou Formation, CO2 can be immobilized by precipitation of ankerite, magnesite, siderite, dawsonite, and calcite for different mineral compositions, with Ca2+, Mg2+, Fe2+ and Na+ provided by dissolution of calcite, albite (or oligoclase) and chlorite. This study can provide useful insights into the geochemistry of CO2 storage in other arkosic arenite (feldspar rich sandstone) formations at other pilots or target sites. | |||
TO cite this article:YANG Guodong,LI Yilian,ATRENS Aleks, et al. Reactive Transport Modeling of Long-Term CO2 Sequestration Mechanisms at the Shenhua CCS Demonstration Project, China[OL].[31 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4694633 |
2. Ontology-driven spatial analysis for hydrometeorological disaster information managment of Minjiang River basin | |||
Ao Tianqi,YangJun | |||
Earth Science 25 February 2014 | |||
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Abstract:This thesis focuses on the ontology-driven spatial analysis for hydrometeorological disaster information management, creates an ontology model of basin hydrometeorology based on Mereotopology and positioning theory and develops the management system of hydrometeorological disaster information of Minjiang River basin. The results of experiments have showed that this system not only can store abundant resource information of hydrology, geography and climate, but also is able to demonstrate the inner connection between the existing state and the changing trend of basin hydrometeorology through spatial analysis technology. This research explores a new way for combining ontology with hydrometeorological disaster information management. | |||
TO cite this article:Ao Tianqi,YangJun. Ontology-driven spatial analysis for hydrometeorological disaster information managment of Minjiang River basin[OL].[25 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4587068 |
3. Assessment of Zn and Pb pollution in Sheyang Estuary (China) using Hyperspectral data | |||
Pan Jie,Zhang Ying | |||
Earth Science 04 January 2010 | |||
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Abstract:Estuaries are biologically productive and diverse coastal areas that are also vital to commerce, transportation, and recreation activities. In this paper, we demonstrate the potential of the hyperspectral data for monitoring heavy metal pollution such as zincum(Zn) and plumbum(Pb) in estuary. A series of methods were used to manage the basical spectral reflectivity and the sensitive bands for estimation of above parameters. The Hyperion spectra show band to band spikes or dips, a selection based on single bands could match some spikes. The binning of bands were thus used instead of the single channels to develop the hyperspectral models. Quantitive models were presented to simulate the amount of heavy metal of Zn and Pb in estuary water according to the choosen largest value of R2 between the experimental amount of Zn and Pb and the corresponding worked reflectivey on the sensitive bands. The validation of these models showed that the relative RMSE values were basically less than 35%, which indicating that Hyperion imagery as a bench-mark for moving towards operational use of RS-related technologies that, integrated with traditional survey programmes, could provide useful information to implement the dynamic monitoring of heavy metal pollution in estuary. | |||
TO cite this article:Pan Jie,Zhang Ying. Assessment of Zn and Pb pollution in Sheyang Estuary (China) using Hyperspectral data[OL].[ 4 January 2010] http://en.paper.edu.cn/en_releasepaper/content/38445 |
4. In-situ Determination Methods of Streambed Hydraulic Conductivity at the Huayuankou Site in the Yellow River, China | |||
Wang Zhihua ,Shu Longcang ,Wang Ling ,Basil Iro Ong’or,Wang Wanjie | |||
Earth Science 21 December 2006 | |||
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Abstract:Analysis of stream/aquifer interaction requires streambed hydraulic conductivity (K), which can be one to three orders of magnitude lower than that of the corresponding aquifer. How to exactly determine streambed K is an urgent problem for hydrogeologists. A series of in-situ standpipe tests and falling-head permeameter tests were conducted on the streambed sediments at the Huayuankou site, located in the lower reaches of the Yellow River. The mean vertical hydraulic conductivity (Kv) at the study site has been found to be 0.43 m day-1 by using the in-situ standpipe test. Meanwhile, five undisturbed streambed sediment samples at different locations of the Huayuankou site were collected and tested in situ with a falling-head permeameter, respectively. The streambed Kv has been found to be 0.46 m day-1 by means of permeameter. The slight difference between the results shows that both methods can give reliable Kv at the study site. Due to the similar characteristics of streambed materials and in-situ conditions in lower reaches of the Yellow River, this study provides practical methods for determining streambed hydraulic conductivity. | |||
TO cite this article:Wang Zhihua ,Shu Longcang ,Wang Ling , et al. In-situ Determination Methods of Streambed Hydraulic Conductivity at the Huayuankou Site in the Yellow River, China[OL].[21 December 2006] http://en.paper.edu.cn/en_releasepaper/content/10432 |
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