Sulfate-reducing bacteria in leachate-polluted aquifers along the shore of the East China Sea

2009 ◽  
Vol 55 (7) ◽  
pp. 818-828 ◽  
Author(s):  
Xiu-Juan Wu ◽  
Jian-Liang Pan ◽  
Xiang-Long Liu ◽  
Jing Tan ◽  
Dao-Tang Li ◽  
...  

The diversity of sulfate-reducing bacteria (SRB) in the aquifer underlying the Laogang Landfill along the shore of the East China Sea was investigated. The DNA extracted from 15 groundwater samples was subjected to PCR amplification of the dissimilatory sulfite reductase (dsr) gene. Full-length dsrAB amplicons (~1.9 kb) were then used to construct 4 clone libraries, while the dsrB amplicons (~350 bp) were used for denaturing gradient gel electrophoresis (DGGE) analysis. The clones in the 4 libraries covered all cultured SRB lineages, as well as a deeply branching clade not affiliated with any cultured SRB. In addition, nearly 80% of the 388 clones in the 4 libraries were similar to sequences of the Deltaproteobacteria, Desulfobacteriaceae, Desulfovibrionales, Syntrophaceae, and Desulfobulbaceae. Furthermore, a wide variety of marine SRB was detected, which indicated that seawater has infiltrated the aquifer. Indeed, the DGGE profiles revealed obvious variations in SRB diversity among the 15 samples, which clustered in accordance with the sulfate concentration of the samples ([SO42–]). Moreover, the sulfate concentrations and SRB diversity along the leachate plume did not show regular variation, which suggests the impact of both groundwater flow and seawater intrusion.

2019 ◽  
Vol 38 (8) ◽  
pp. 610-616
Author(s):  
Yun Wei ◽  
Hua Chen ◽  
Senqing Hu ◽  
Peipei Deng ◽  
Yongdeng Xiao ◽  
...  

A new broadband wide-azimuth towed-streamer (WATS) survey was acquired to better resolve reservoir compartments in a shallow-water region of the East China Sea. To offset the shortcomings of narrow-azimuth acquisition along the strike direction, two vessels were added side-by-side as additional source vessels to form the WATS acquisition geometry for this survey. This WATS acquisition was much sparser than typical WATS surveys used in deepwater environments due to its one-sided configuration. The combination of sparse acquisition, shallow water, and deep targets set the challenge of how to optimally reveal the potential of side-gun data to improve the final image. Three-dimensional effects and severe aliasing in the crossline direction pose significant challenges for side-gun data processing. We present a comprehensive workflow to resolve these challenges consisting of 3D deghosting, 3D model-based water-layer demultiple, 3D surface-related multiple elimination, and 4D regularization for sparse and shallow-water wide-azimuth data. A tilted orthorhombic velocity model is built with better constraints from the wide-azimuth data, leading to improved fault positioning and imaging. Side-gun data clearly enhance the final target reservoir image and tie better with well data due to improved illumination. A new channel is discovered based on interpretation from the inverted VP/VS, explaining the previous incorrect prediction for one failed well that was drilled into a thinner and shallower channel unconnected to the main reservoir. An analysis of the impact of side-gun data from different offsets and azimuths shows that better azimuthal distribution within middle offset ranges had a more significant impact than far offsets in the final image of this survey. This information provides valuable reference in similar geologic conditions for future acquisition designs.


2009 ◽  
Author(s):  
Dongyang Fu ◽  
Ning Li ◽  
Youzhuan Ding ◽  
Delu Pan

2009 ◽  
Vol 4 (2) ◽  
Author(s):  
James Manicom

On 18 June 2008, Chinese and Japanese authorities announced that they had reached a new consensus in their maritime territorial dispute in the East China Sea. This article explores the sustainability of this agreement in light of past Sino-Japanese cooperation on energy issues, both generally and in the maritime realm. Specifically, it explores the impact of strategic and economic prerogatives on the cooperative track record in light of the consensus in the literature that Sino-Japanese energy relations, particularly the territorial dimension, are increasingly competitive. The article argues that the June 2008 agreement can be reinforced despite poor market conditions for offshore exploration.


2016 ◽  
Vol 15 (2) ◽  
pp. 271-282 ◽  
Author(s):  
Qiwei Quan ◽  
Ying Chen ◽  
Qingwei Ma ◽  
Fujiang Wang ◽  
Xi Meng ◽  
...  

Author(s):  
Tetsuya Matsunaka ◽  
Seiya Nagao ◽  
Mutsuo Inoue ◽  
Rodrigo Mundo ◽  
Ning Tang ◽  
...  

Concentrations of phase-partitioning 13 polycyclic aromatic hydrocarbons (PAHs) in seawater were investigated in the Tsukumo Bay, Noto Peninsula, Japan, during 2014–2018, to improve the understanding of the environmental behavior of PAHs in the coastal areas of the Japan Sea. Total PAH (particulate plus dissolved) concentrations in surface seawater were in the range 0.24–2.20 ng L−1 (mean 0.89 ng L−1), an order of magnitude lower than the mean values observed in the Japan Sea in 2008 and 2010. Although the PAH contamination levels during 2014–2018 were significantly lower than those in the East China Sea, the levels increased from 2014 to 2017 and were maintained at the higher level during 2017–2018. The main sources of particulate and dissolved PAHs during 2014–2018 were combustion products, of which the former were more influenced by liquid fossil-fuel combustion and the latter by biomass or coal combustion. The increase in particulate PAH concentrations in October–December during 2014–2018 was due to the impact of PAH-rich airmasses transported from the East Asian landmass in the northwesterly winter monsoon winds. The increase in dissolved PAH levels during July–September in 2014, 2016, 2017, and 2018 indicates that the Tsukumo Bay is possibly impacted by the PAH-rich summer continental shelf water transported by the Coastal Branch of the Tsushima Warm Current, which flows into the Japan Sea from the East China Sea.


2015 ◽  
Vol 110 ◽  
pp. 163-173 ◽  
Author(s):  
Fengwen Wang ◽  
Zhigang Guo ◽  
Tian Lin ◽  
Limin Hu ◽  
Yingjun Chen ◽  
...  

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