Tag: Saudi Arabia

Citation in Asia: Asian scientists cited publications of a Moscow University researcher on environmental science, ecology. Selected examples. Japan, China, Hong Kong, Korea, Malaysia, Indonesia,Turkey, Kuwait, Pakistan, Saudi Arabia, Philippines,

Key words: improvement, water quality, sea mussel, freshwater, detergent, water resources, natural purification, eutrophic lake, lakes, rivers, sea, self-purification http://5bio5.blogspot.com/2012/12/citation-in-asia-asian-scientists-cited.html

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China, Korea:
Renata Brzozowska a, Zhenghong Sui b,  Kyoung Ho Kang c, Testing the usability of sea mussel (Mytilus sp.) for the improvement of seawater quality—An experimental study // Ecological Engineering, In Press,   doi:10.1016/j.ecoleng.2011.10.017 ;   [a              Department of Environment Protection Engineering, Warmia and Mazury University in Olsztyn, Prawochenskiego St. 1, 10-957 Olsztyn, Poland; b Ocean University of China, Qingdao 266003, People’s Republic of China;  c      Division of Marine Technology, Chonnam National University, Dundeok-dong, San 96-1, Yeosu-city, 550-749 Jeollanam-do, Republic of Korea; 

Abstract: http://www.sciencedirect.com/science/article/pii/S0925857411003387  From the text: … Filtering processes create a possibility of removing chemical compounds, such as organic compounds, heavy metals and nutrients, from water ( [Todd and Josephson, 1996] , [Ostroumov, 2005] , [Zhou et al., 2006] and [Elliott et al., 2008] ). …]

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The Japanese article that cited the abovementioned paper:

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China:  Chinese scientific Internet-service lw20.com ( http://lw20.com/)  Cited the paper:   Author: S.A. Ostroumov; Year: 2008; Source: Contemporary Problems of Ecology; Volume 1, Number 2,  238-244; http://lw20.com/Article.aspx?wd=1.1.%20CONCEPTS%20OF%20LANDSCAPE%20ECOLOGY%20RELEVANT%20FOR%20ECOLOGICAL%20MONITORING;  http://www.scribd.com/doc/73643613;

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Turkey:  

*Yilmaz O., Sunlu U., Sunlu F. S. Research of anionic detergent levels in Izmir Bay. – E.U. Journal of Fisheries & Aquatic Sciences. 2006. Volume 23, Issue (1-2): 107–111. [İzmir Körfezi’nde Anyonik Deterjan Düzeylerinin Araştırılması; *Özlem Yılmaz1,   İzmir, Türkiye; Turkey; 2Ege Üniversitesi, Su Ürünleri Fakültesi Temel Bilimler Bölümü, 35100, Bornova, İzmir, Türkiye; Turkey; *E mail: ozlemyl@yahoo.com *** http://jfas.ege.edu.tr/pdf/17_Yilmaz_23_1-2_2006.pdf; About the journal:© Ege University Press, ISSN 1300 – 1590, http://jfas.ege.edu.tr/]; Cited: Ostroumov, S.A., 2003, Studying Effects of Some Surfactants and Detergents on Filter-Feeding Bivalves, Hydrobiologia, 2003, 500:341-344; www.citeulike.org/user/ATP/article/9737871; DOI: 10.1023/A:1024604904065; http://www.springerlink.com/content/k05884h730t228w4/; from the abstract of the Turkish paper:  this research is to monitor anionic detergent, chlorophyll a and reactive phosphate levels in samples of surface water those were taken monthly in the period of January, 2003-December, 2003, from three stations (Station of Çiğli Offshore, Station of Yat Club Offshore, Station of Melez River Offshore) selected in İzmir Bay. The concentrations of anionic surface-active substances are evaluated between 0.032 mg L-1 and 0.232 mg L-1 and average value is 0.095 mg L-1. The concentrations of reactive phosphate are evaluated between 0.018 mg L-1 and 0.564 mg L-1 and average value is 0.113 mg L-1. There was no definite correlation among anionic surface active substances and reactive phosphate. The concentrations of chlorophyll a are measured between 1.6 μg chl a L-1 and 33.75 μg chl a L-1 and average value is 6.54 μg chl a L-1. The heat levels are measured between 9 and 27.1 oC and the average is 18.44 oC. Also, samples of surface water were taken in dry (August, 2005) and rainy (December, 2005) seasons from source stations (Station of Melez River, Station of Bostanlı River, Station of Bayraklı River, Station of Manda River), in these samples the concentrations of surface active substances were evaluated. Maximum concentration was evaluated in rainy season from Station of Melez River with 4.549 mg L-1;

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Malaysia. Citation of Moscow scientists. Nature Conservation.

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Indonesia: A site in Indonesia, in Indonesian: 

http://www.ilmukesehatangigi.com/gigi/ostroumov+sa.html; cited a number of Internet publications authored by Dr. S.A.O., viewed September 9, 2011;

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China: Dingjiang Chen 1, Jun Lu 1, 2 *, Yena Shen 3. Artificial neural network modelling of concentrations of nitrogen, phosphorus and dissolved oxygen in a non-point source polluted river in Zhejiang Province, southeast China. // Hydrological Processes. Early View (Articles online in advance of print); Published Online: 21 Oct 2009; Copyright © 2010 John Wiley & Sons, Ltd.

[1Department of Natural Resources, College of Environmental Science and Natural Resources, Zhejiang University, Hangzhou 310029, China; 2China Ministry of Education Key Lab of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310029, China;  3Zhejiang Provincial Key Laboratory of Subtropical Soil and Plant Nutrition, Zhejiang University, Hangzhou 310029, China; email: Jun Lu (jlu@zju.edu.cn); *Correspondence to Jun Lu, Department of Natural Resources, College of Environmental Science and Natural Resources, Zhejiang University, Kaixuan Road 258#, Hangzhou 310029, Zhejiang Province, China].

KEYWORDS: artificial neural network , agricultural non-point source pollution , total nitrogen , total phosphorus ,dissolved oxygen , river water quality, freshwater aquatic ecosystem, A back-propagation algorithm neural network (BPNN), modelling tool for managers, spatiotemporal water quality variations, agricultural drainage river, Changle River, southeast China, Monthly river flow, water temperature, flow travel time, rainfall and upstream TN, TP and DO concentrations,

ABSTRACT: A back-propagation algorithm neural network (BPNN) was developed to synchronously simulate concentrations of total nitrogen (TN), total phosphorus (TP) and dissolved oxygen (DO) in response to agricultural non-point source pollution (AGNPS) for any month and location in the Changle River, southeast China. Monthly river flow, water temperature, flow travel time, rainfall and upstream TN, TP and DO concentrations were selected as initial inputs of the BPNN through coupling correlation analysis and quadratic polynomial stepwise regression analysis for the outputs, i.e. downstream TN, TP and DO concentrations. The input variables and number of hidden nodes of the BPNN were then optimized using a combination of growing and pruning methods. The final structure of the BPNN was determined from simulated data based on experimental data for both the training and validation phases. The predicted values obtained using a BPNN consisting of the seven initial input variables (described above), one hidden layer with four nodes and three output variables matched well with observed values. The model indicated that decreasing upstream input concentrations during the dry season and control of NPS along the reach during average and flood seasons may be an effective way to improve Changle River water quality. If the necessary water quality and hydrology data are available, the methodology developed here can easily be applied to other case studies. The BPNN model is an easy-to-use modelling tool for managers to obtain rapid preliminary identification of spatiotemporal water quality variations in response to natural and artificial modifications of an agricultural drainage river. [Copyright © 2009 John Wiley & Sons, Ltd.] Digital Object Identifier (DOI) 10.1002/hyp.7482;

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China:  Jiang, J.-G., Shen, Y.-F.  Estimation of the natural purification rate of a eutrophic lake after pollutant removal,  2006, Ecological Engineering, 28 (2), pp. 166-173.

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China: Ren, R.-L., Liu, M.-S., Zhang, J.-M., Zhang, M., Xu, M.  Self-purification ability of a water-carrying lake.  2007.-  Chinese Journal of Ecology 26 (8), pp. 1222-1227.  .

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China:  Wang X., Y. An, J. Zhang, X. Shi, C. Zhu, R. Li, M. Zhu, S. Chen. Contribution of biological processes to self-purification of  water with respect to petroleum hydrocarbon associated with No. 0 diesel in Changjiang Estuary and Jiaozhou Bay, China // Hydrobiologia, 2002. Volume 469, Numbers 1-3, P. 179-191.

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Hong Kong, HKUST Library

acquired books,  papers written by a Moscow University scientist. 香港,  libraries, bought, book, HKUST, Library, environmental science, ecology

http://5bio5.blogspot.com/2012/11/hong-kong-hkust-library-acquired-books.html

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Ostroumov S.A. Inhibitory analysis of top-down control: new keys to studying eutrophication, algal blooms, and water self-purification. Hydrobiologia 469 1-3 (2002) 117-129 

关键词：改善水质，海贻贝，淡水，洗涤剂，水资源，自然净化，湖泊富营养化治理，湖泊，河流，海洋，自我净化，

Chinese (t):  引用在亞洲：亞洲科學家的莫斯科大學的研究人員在環境科學，生態學引用的出版物。選擇的例子。

關鍵詞：改善水質，海貽貝，淡水，洗滌劑，水資源，自然淨化，湖泊富營養化治理，湖泊，河流，海洋，自我淨化，

Japanese:  アジアにおける引用：アジアの科学者は環境科学、生態学上のモスクワ大学の研究者の出版物を引用した。例を選択しました。

キーワード：改善、水質、貽貝、淡水、洗剤、水資源、自然の浄化、富栄養湖、湖、川、海、自己浄化、

Indonesian:  Kutipan di Asia: Asian ilmuwan dikutip publikasi dari seorang peneliti Universitas Moskow pada lingkungan, ekologi ilmu. Dipilih contoh.

Kata kunci: perbaikan, kualitas air, laut kerang, air tawar, deterjen, sumber daya air, pemurnian alami, danau eutrofik, danau, sungai, laut, pemurnian diri,

Malay:  

Citation di Asia: Asia saintis menyebut penerbitan penyelidik Universiti Moscow dalam bidang sains alam sekitar, ekologi. Dipilih contoh.

Kata kunci: penambahbaikan, kualiti air, kepah laut, air tawar, detergen, sumber air, penulenan semulajadi, tasik eutrofik, tasik, sungai, laut, pembersihan diri,

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: कुंजी शब्द सुधार, पानी की गुणवत्ता, समुद्र सीपी, मीठे पानी, डिटर्जेंट, जल संसाधन, प्राकृतिक शोधन, eutrophic झील, झीलों, नदियों, समुद्र, आत्म शुद्धि,