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Huang, jing
- Trace Element Geochemistry of some Mesozoic Yanshanian Copper-Gold Deposits on Anhui Middle-Lower Yangtze Metallogenic Valley, Central-East China
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Authors
Affiliations
1 CAS Key Laboratory of Crust-Mantle Materials and Environments, School of Earth and Space Sciences, University Science and Technology of China, Hefer 230026, CN
1 CAS Key Laboratory of Crust-Mantle Materials and Environments, School of Earth and Space Sciences, University Science and Technology of China, Hefer 230026, CN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 70, No 2 (2007), Pagination: 235-251Abstract
Yangtze valley is one of the most important metallogenic regions in the Jurassic-Cretaceous penod in East Asian continent, where more than 200 polymetallic Cu-Fe-Au and Mo, Zn, Pb, Ag deposits are documented Cu-Au deposits in Anhui Province (Lower part of Yangtze) are the most important among these deposits. Data of chemical compositions of trace elements were collected from literature for Yanshanian (Mesozoic) igneous rocks which have close relationship with the Cu-Au mineralization. The Cu -Au mineralization in middle to lower Yangtze valley can be divided into three types mainly skarn type, porphyry type and volcanic type. In this paper, the details of trace and rare earth elements from Shaxi, Anqing, Chuxian, Tongling and Luzong Cu-Au bearing deposits are dealt with in detail Rocks in the localities of Shaxi, Chuxian and Anqing intrusives have almost similar REE distribution patterns which show little assimilation with the wall rocks during the formation of Cu-Au deposits. However, the REE distribution patterns in Tongling skarn deposit are different altogether when compared to the other Cu-Au related rocks adjacent to areas of Mesozoic intrusives. This might have resulted due mainly to the volatile transport or assimilation of some elements producing complex patterns of trace element distributions superimposed on effects caused by crystal/melt equilibra. The trace element distribution shows that the mantle compatible elements such as Sc, Cr, Co and Ni and some transitional compatible elements such as Ti, V, Mn, Fe and Cu have strongly fractionated compared to the average contents of trace elements of crustal rocks, especially those of Cu, with very largely positive anomaly. This could be interpreted as an important crustal-mantle interaction during the Yanshania (Mesozoic) period when the multiple Cu-Au mineralization formed in the Yangtze metallogenic belt in China. The lithophile elements such as K,Rb, Th, Sr, Ba, Li and La are also enriched compared to the average contents of the crustal rocks, reflecting the regional geochemical anomalies of these elements and may be interpreted as an important reason of Cu-Au mineralization in this region.Keywords
Cu-Au Deposits, Trace and REE Elements, Jurassic-Cretaceous, Yangtze metallogenic, Province, Anhui, Eastern China.- Correlation Analysis Between the Water Quality and Land Use Composition in Chaobai River Basin
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Authors
Affiliations
1 Yellow River Institute of Hydraulic Research, Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control of Ministry of Water Resources, Zhengzhou, Henan, 450003, CN
2 Zhengzhou Institute of Agriculture and Forestry Science, Zhengzhou, Henan, 450003, CN
1 Yellow River Institute of Hydraulic Research, Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control of Ministry of Water Resources, Zhengzhou, Henan, 450003, CN
2 Zhengzhou Institute of Agriculture and Forestry Science, Zhengzhou, Henan, 450003, CN
Source
Nature Environment and Pollution Technology, Vol 16, No 1 (2017), Pagination: 307-314Abstract
Under the influence of global climate change and intense human activities, the world is facing water issue and crisis in varying extent. It is considered to be strategically important to study the relation between land-use change and water environment of the only surface water source of Beijing (a city facing severe water shortage). In this article, the quantitative relation between land-use structure and water environment quality of Chaobai River Basin was discussed. GIS spatial analysis function and Markov transition matrix were used to calculate the composition and changes of land use. Meanwhile the correlation between land-use structure and water quality index was analysed by means of correlation analysis, redundancy analysis (RDA) and other mathematical statistics. The land-use impact on water quality was also investigated. The result indicated that the main means of land use in Chaobai River Basin were forest land, farmland, construction land and waters. The major shifted land during 1995 and 2005 was farmland while during 2005 and 2015 was forest land. The indexes of water quality were deeply influenced by the means of land use, of which the deterioration of water quality was significantly affected by construction land. Water quality could be drastically improved by the spatial distribution of forest land, which was especially sensitive to ammonia and potassium permanganate index. The correlation between farmland area variation and water quality was not remarkable. RDA proved the effect of the land-use forms on water environment of Chao River and Bai River in different years. The results could be used to provide a scientific basis for the land optimization and water pollution control of Chaobai River Basin, as well as guide the policy decision of space development and water environment protection of Chaobai River Basin.Keywords
Water Quality, Land Use, Correlation Analysis, Redundancy Analysis, Chaobai River Basin.References
- Beasley, D. B., Huggins, L. F. and Monke, E. J. 1980. ANSWERS:A model for watershed planning. Transactions of the American Society of Agricultural Engineers, 23(4): 938-944.
- Brezonik, P.L. and Stadelmann, T.H. 2002. Analysis and predictive models of strom water runoff volumes, loads, and pollutant con-centrations from watersheds in the Twin Cities metropolitan area, Miniesota, USA. Water Research, 36: 1743-1757.
- Chen, N.W., Hong, H.S. and Zhang, L.P. 2015. Preliminary results concerning the spatio-temporal pattern and mechanism of nitrogen sources and exports in the Jiulong River watershed. Acta Scientiae Circumstantiae, 29(4): 830-839 (in Chinese).
- Deng, Yu, Liu Sheng he, Lu Max and Song Ci, 2012. Causes of cultivated land loss in mountainous areas protected for water sources: Case study of Miyun County in Beijing. Journal of Food, Agriculture & Environment, 10(1): 685-690.
- Donohue, I., McGarrigle, M. L. and Mills, P, 2006. Linking catchment characteristics and water chemistry with the ecological status of Irish rivers. Water Research, 40: 91-98.
- Hwang, S. J., Lee, S. W. and Sona, J. Y. 2007. Moderating effects of the geometry of reservoirs on the relation between urban land use and water quality. Landscape and Urban Planning, 82(4): 175-183.
- Jiang, D.J. and Bi, X.L. 2014. Review of studies on nitrogen and phosphorus transport in the continuum of watersheds, estuaries and offshore areas. Advances in Water Science, 21(3):421-429 (in Chinese).
- King, R. S., Baker, M. E. and Whigham, D.F. 2005. Spatial considerations for linking watershed land cover to ecological indicators in streams. Ecological Applications, 15(1): 137-153.
- Liang, T., Wang, H. and Zhang, X. M. 2013. Transportation processes and rates of heavy metals in an artificial rainstorm runoff under different land use types. Chinese Journal of Applied Ecology, 14(10): 1756-1760 (in Chinese).
- Lippe, E., Desmidt, J.T. and Glemn Lewin, D.C. 1985. Markov models and succession: a test from a heathland in the Netherlands. Journal of Ecology, 73: 775-791.
- Liu, F., Liu, J.L., Zhang, T. 2015. Land use change and its effects on water quality in Baiyangdian Lake of North China during last 20 years. Journal of Agro-Environment Science, 29(10):1868-1875 (in Chinese).
- Mehaffey, M.H., Nash, M.S. and Wade, T.G. 2005. Linking land cover and water quality in New York City’s water supply watersheds. Environmental Monitoring and Assessment, 107 (1-3): 29-44.
- Moreno, J. L., Navarro, C. and Delas Heras, J. 2006. Abiotic ecotypes in south-central Spanish rivers: Reference conditions and pollution. Environmental Pollution, 143: 388-396.
- Rhodes, A. L., Newton, R. M. and Pufall, A, 2001. Influences of land use on water quality of a diverse New England watershed. Environmental Science and Technology, 35: 3640-3645.
- Schoonover, J. E. and Lockaby, B. G. 2006. Land cover impacts on stream nutrients and fecal coliform in the lower Piedmont of West Georgia. Journal of Hydrology, 331: 371-382.
- Tong, S. T. Y. and Chen, W. L. 2002. Modeling the relationship between land-use and surface water quality. Journal of Environmental Management, 66: 377-393.
- Versace, V.L. and Ierodiaconou, D.F. 2008. Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS. Environmental Monitoring and Assessment, 142(1-3):171-184.
- Yin, Z. Y., Walcott, S. and Kaplan, B. 2005. An analysis of the relationship between spatial patterns of water quality and urban development in Shanghai, China. Computers, Environment and Urban Systems, 29(2):197-221.
- Young, R. A., Onatad, C. A. and Bosch, D. 1989. AGNPS: A nonpoint source pollution model for evaluating agricultural watersheds. Journal of Soil and Water Conservation, 44(2): 168-173.
- Yue, J., Wang, Y.L. and Li, Z.G. 2006. Spatial-temporal trends of water quality and its influence by land use: A case study of the main rivers in Shenzhen. Advances in Water Science, 17(3): 359364 (in Chinese).
- Zampella, R.A., Procopio, N.A. and Lathrop, R.G. 2007. Relationship of land-use/land-cover patterns and surface-water quality in the Mullica river basin. Journal of the American Water Resources Association, 43(3): 594-694.
- Zhang, Y. J., Chen, S. and Xiang, J. C. 2014. Correlation between the water quality and land use composition in the river side area-a case of Chaohu lake basin in China. Resources and Environment in the Yangtze Basin, 20(9): 1054-1061 (in Chinese).