Characteristics of Nitrate in Major Rivers and Aquifers of the Sanjiang Plain, China

Total Page:16

File Type:pdf, Size:1020Kb

Characteristics of Nitrate in Major Rivers and Aquifers of the Sanjiang Plain, China View Online / Journal Homepage Journal of Dynamic Article LinksC< Environmental Monitoring Cite this: DOI: 10.1039/c2em30032j www.rsc.org/jem PAPER Characteristics of nitrate in major rivers and aquifers of the Sanjiang Plain, China Yingjie Cao,ab Changyuan Tang,*b Xianfang Song,a Changming Liua and Yinghua Zhanga Received 16th January 2012, Accepted 6th July 2012 DOI: 10.1039/c2em30032j À The characteristics of nitrate (NO3 ) in major rivers and aquifers of the Sanjiang Plain, China were investigated by hydrogeochemical conditions, nitrogen isotope technique and CFCs trace. An overall À understanding on the sources and fate of NO3 in the surface water and the groundwater was obtained. À The NO3 concentrations in the surface water were low and no samples exceeds the WTO standards. À However, 11.4% of the groundwater samples exceeded the WTO standards, indicating local NO3 pollution in rural areas. Redox condition analysis revealed that most of the surface water had oxic condition, while for the shallow groundwater (mean well depth smaller than 30 m), the redox condition began to change into anoxic zone, and the deep groundwater (mean well depth larger than 50 m) 15 showed strong anoxic condition. The d N-NO3 data indicated soil N and fertilizer contributed the À major sources in the surface water, and NO3 in the groundwater mainly showed a manure origin. In the Songhua–Heilong River, dilution effect was dominating, while for the Wusuli River, it showed that À À mix with water contained excess of NO3 resulted in the NO3 concentration increased along the river. À Additionally, the NO3 transportation in the groundwater was analyzed by groundwater ages derived À from environmental tracer (CFCs) data. The relation between the groundwater ages and the NO3 À concentrations showed that the young groundwater with the age less than 60 years had higher NO3 concentrations than the old groundwater over the age of 60 years because anthropogenic activities began to boom from 1950s in the Sanjiang Plain. Downloaded by CHIBA DAIGAKU on 04 September 2012 Published on 06 July 2012 http://pubs.rsc.org | doi:10.1039/C2EM30032J 1. Introduction oxygen, fish kills, loss of seagrass beds and other aquatic vege- À tation, degradation of coral reefs, and loss of biodiversity Nitrate (NO3 ) has been identified as one of the most problem- including species important to commercial and sport fisheries atic regional scale, widespread contaminant in water environ- 11 1–3 À and shellfish industries. ment throughout the world. Elevated NO3 concentrations The Sanjing Plain, as a part of the Songhua River basin, is were reported in lakes,4 rivers,5 aquifers,6,7 estuaries8 and catch- 9,10 located in the northeast part of China. The plain is one of the ment headwaters. In aquatic ecosystems, over enrichment of P biggest and most important grain production bases in China. and N causes many problems, such as toxic algal blooms, loss of Lots of wetlands have been exploited into crop lands since 1950s. In 2005, the area of crop lands was about 55 688 km2, three times aKey Laboratory of Water Cycle and Related Land Surface Process, that in 1954.12 The use of fertilizers was suspected as the major Institute of Geographical Sciences and Natural Resources Research, nonpoint source contributing to the nitrogen pollution of surface Chinese Academy of Sciences, Datun Rd. A11, Chaoyang District, 13 Beijing 100101, China water and groundwater in the Sanjiang Plain. bGraduate School of Horticulture, Chiba University, Matsudo 271-8510, Nitrogen loading of the Songhua River basin was studied by a Japan. E-mail: [email protected] simplified binary structure model with the assistance of 3S (RS, Environmental impact Nitrate is the most ubiquitous chemical contaminant in water environments and the levels of contamination are increasing. Elevated nitrate concentrations have been reported in lakes, rivers, aquifers, estuaries and catchment headwaters. In aquatic ecosystems, over enrichment with P and N causes many problems, such as toxic algal blooms, loss of oxygen, fish deaths, loss of seagrass beds and other aquatic vegetation, degradation of coral reefs, and loss of biodiversity including species important to commercial and sport fisheries and shellfish industries. The Sanjiang Plain located in the northeast part of China is one of the biggest and most important grain production bases. It is important to investigate the sources and fate of nitrate in the major rivers and aquifers in Sanjiang Plain. This journal is ª The Royal Society of Chemistry 2012 J. Environ. Monit. View Online GIS and GPS) technology.13 The result showed that 74% of the largest tributary of the Heilong River in the south with mean total nonpoint pollution of nitrogen came from farmland culti- annual runoff of 72.7 billion m3 (2.31 Â 103 m3 sÀ1). The Wusuli vation, while the remainder came from non-agricultural sources, River is another international river with the headwater from the such as domestic living, livestock farm and urban storm water. Xingkai Lake, which is the north border of the study area. The However, it has been demonstrated that there was often a mean annual runoff of Wusuli River is about 61.9 billion m3 significant deficit in calculating the balance between the nitrogen (1.96 Â 103 m3 sÀ1). The Naoli River and the Muling River are loading and the nitrogen runoff in the river mouth without two major tributaries of the Wusuli River with mean considering denitrification processes in various river basins.14 annual runoff of 1.98 billion m3 (63 m3 sÀ1) and 2.35 billion 15 3 3 À1 Hydrogeochemical tools and nitrogen isotope (d N-NO3) m (75 m s ) respectively. technique were widely applied to investigate sources and fate of The aquifers of the Sanjiang Plain mainly consist of Quater- À NO3 in water environment. The hydrogeochemical tools nary alluvial deposits, principally sandy gravels, medium and fine including several redox reactions relating to the formation and sands, sandy clays and silts. The alluvial deposits are underlain À attenuation of NO3 were traditional methods to investigate the and surrounded by structurally disturbed base rocks of pre- À 15,16 environmental behavior of NO3 . The nitrogen isotopic trace Quaternary and older epochs. The aquifer thickness varies from technique initiated in early 1970s17 has been widely used to 50 m to 300 m. The characteristics of the deposits in the Sanjiang À evaluate the NO3 sources and other processes which affect the Plain are summarized as follows: the thickness of sediments nitrogen cycling, such as denitrification. And this technique is around Suibin in the west part of the study area is about 300 m À based on the fact that NO3 may have distinct isotopic signatures and the size of deposits is coarser than other parts of the study depending on its sources. area. The sediment around the line of Tongjiang–Fujin–Shuan- In this study, both the hydrogeochemical tools and the gyashan is mainly medium sands in a range of 50–100 m in nitrogen isotope technique were used to give an overall under- thickness and the pre-Quaternary rocks crop out can be found À 19 standing of the sources and fate of NO3 in the surface water and near Fujin. groundwater in the Sanjiang Plain. The goals of this study were À to (1) show the characteristics of spatial distribution of NO3 in 3. Materials and methods the major rivers and aquifers of the Sanjiang Plain; (2) analyze the redox environment and denitrification potentials for both the 3.1 Field procedures surface water and groundwater; (3) identify and distinguish the À À The spatial distribution of NO3 in the Sanjiang Plain was sources of NO3 in different water bodies by nitrogen isotope investigated based on 55 water samples, which were collected in technique; and (4) reveal the transportation and migration of À September 2007 and September 2009. The samples included 21 NO3 in the major rivers and aquifers of the Sanjiang Plain. surface water samples from rivers, wetlands and lakes, and 34 groundwater samples. The surface water samples covered almost 2. Study site all the rivers and the major tributaries in the Sanjiang Plain (Fig. 1). The groundwater samples were mainly collected from 2.1 General descriptions Downloaded by CHIBA DAIGAKU on 04 September 2012 domestic or irrigation wells. 17 groundwater samples collected Published on 06 July 2012 http://pubs.rsc.org | doi:10.1039/C2EM30032J The Sanjiang Plain is the alluvial plain within the Songhua River from the wells near the river sampling sites, while another 17 basin, which is located in northeastern part of Heilongjiang groundwater samples were from the central part of the Sanjiang Province, China (Fig. 1). The Xiao Xinganling Mountain, with a Plain. Well information, such as well depth, location and oper- maximum elevation of about 1429 m above sea level, and ating interval were recorded by GPS and questionnaire surveys. Wandashan Mountain, with a maximum elevation of about 831 m, are found along the west side and southwest side of the 3.2 Analytical procedure study area, respectively. The north, east and southeast bound- aries of the study area are the Heilong River, the Wusuli River pH, temperature (T), electrical conductivity (EC), redox poten- tial (Eh) and dissolved oxygen (DO) of the samples were and the Xinkai Lake, respectively. The Songhua River and Naoli À River flow from southeast to northwest through the center of the measured by portable equipment (Horiba, Japan) and HCO3 plain. The Sanjiang Plain has a generally flat topography was determined by acid neutralizing titration on site. The m declining from the southwest to the northeast with a slope samples were immediately filtered through a 0.45 m filter and gradient of about 1 : 5000–1 : 10 000.
Recommended publications
  • Saving the Flagship Species of North-East Asia
    North-East Asian Subregional Programme for Environmental Cooperation (NEASPEC) SAVING THE FLAGSHIP SPECIES THE FLAGSHIP SAVING SAVING THE FLAGSHIP SPECIES OF NORTH-EAST ASIA OF NORTH-EAST ASIA United Nations ESCAP United Nations Economic and Social Commission for Asia and the Pacific Environment and Sustainable Development Division United Nations Building Rajadamnern Nok Avenue Nature Conservation Strategy of NEASPEC Bangkok 10200 Thailand Tel: (662) 288-1234; Fax: (662) 288-1025 E-mail: [email protected] E-mail: [email protected] Website: <http://www.unescap.org/esd> United Nations ESCAP ECONOMIC AND SOCIAL COMMISSION FOR ASIA AND THE PACIFIC ESCAP is the regional development arm of the United Nations and serves as the main economic and social development centre for the United Nations in Asia and the Pacific. Its mandate is to foster cooperation between its 53 members and 9 associate members. ESCAP provides the strategic link between global and country-level programmes and issues. It supports the Governments of the region in consolidating regional positions and advocates regional approaches to meeting the region’s unique socio-economic challenges in a globalizing world. The ESCAP office is located in Bangkok, Thailand. Please visit our website at www.unescap.org for further information. Saving the Flagship Species The grey shaded area of the map represents the members and associate members of ESCAP of North-East Asia: United Nations publication Nature Conservation Strategy of NEASPEC Copyright© United Nations 2007 ST/ESCAP/2495
    [Show full text]
  • DRAINAGE BASINS of the SEA of OKHOTSK and SEA of JAPAN Chapter 2
    60 DRAINAGE BASINS OF THE SEA OF OKHOTSK AND SEA OF JAPAN Chapter 2 SEA OF OKHOTSK AND SEA OF JAPAN 61 62 AMUR RIVER BASIN 66 LAKE XINGKAI/KHANKA 66 TUMEN RIVER BASIN Chapter 2 62 SEA OF OKHOTSK AND SEA OF JAPAN This chapter deals with major transboundary rivers discharging into the Sea of Okhotsk and the Sea of Japan and their major transboundary tributaries. It also includes lakes located within the basins of these seas. TRANSBOUNDARY WATERS IN THE BASINS OF THE SEA OF OKHOTSK AND THE SEA OF JAPAN1 Basin/sub-basin(s) Total area (km2) Recipient Riparian countries Lakes in the basin Amur 1,855,000 Sea of Okhotsk CN, MN, RU … - Argun 164,000 Amur CN, RU … - Ussuri 193,000 Amur CN, RU Lake Khanka Sujfun 18,300 Sea of Japan CN, RU … Tumen 33,800 Sea of Japan CN, KP, RU … 1 The assessment of water bodies in italics was not included in the present publication. 1 AMUR RIVER BASIN o 55 110o 120o 130o 140o SEA OF Zeya OKHOTSK R U S S I A N Reservoir F E mur D un A E mg Z A e R Ulan Ude Chita y ilka a A a Sh r od T u Ing m n A u I Onon g ya r re A Bu O n e N N Khabarovsk Ulaanbaatar Qiqihar i MONGOLIA a r u u gh s n s o U CHIN A S Lake Khanka N Harbin 45o Sapporo A Suj fu Jilin n Changchun SEA O F P n e JA PA N m Vladivostok A Tu Kilometres Shenyang 0 200 400 600 The boundaries and names shown and the designations used on this map Ch’ongjin J do not imply official endorsement or acceptance by the United Nations.
    [Show full text]
  • A Study of the Interrelation Between Surface Water and Groundwater Using Isotopes and Chlorofluorocarbons in Sanjiang Plain, Northeast China
    Environ Earth Sci (2014) 72:3901–3913 DOI 10.1007/s12665-014-3279-5 ORIGINAL ARTICLE A study of the interrelation between surface water and groundwater using isotopes and chlorofluorocarbons in Sanjiang plain, Northeast China Bing Zhang • Xianfang Song • Yinghua Zhang • Dongmei Han • Changyuan Tang • Lihu Yang • Zhongliang Wang • Tingyi Liu Received: 14 June 2013 / Accepted: 7 April 2014 / Published online: 27 April 2014 Ó Springer-Verlag Berlin Heidelberg 2014 Abstract Surface water and groundwater are the main recharged from Songhua river. The combination of stable water resources used for drinking and production. Assess- isotopes, tritium, and CFCs was an effectively method to ments of the relationship between surface water and study the groundwater ages and interrelation between sur- groundwater provide information for water resource man- face water and groundwater. Practically, the farmlands near agement in Sanjiang plain, Northeast China. The surface the river and under foot of the mountain could be culti- water (river, lake, and wetland) and groundwater were vated, but the farmlands in the central plain should be sampled and analyzed for stable isotopic (dD, d18O) controlled. composition, tritium, and chlorofluorocarbons concentra- tions. The local meteoric water line is dD = 7.3d18O–6.7. Keywords Hydrogen and oxygen isotopes Á The tritium (T) and chlorofluorocarbon (CFC) contents in Chlorofluorocarbons Á Surface water Á Groundwater Á groundwater were analyzed to determine the groundwater Sanjiang plain ages. Most groundwater were modern water with the ages \50 years. The groundwaters in mountain area and near rivers were younger than in the central plain. The oxygen Introduction isotope (d18O) was used to quantify the relationship between surface water and groundwater.
    [Show full text]
  • The Report on the Quantity Monitoring, Threatening Factors and Protection Proposals of Breeding Population of Oriental White Stork in Sanjiang Plain
    The Report on the Quantity Monitoring, Threatening Factors and Protection Proposals of Breeding Population of Oriental White Stork in Sanjiang Plain Authors:Wang qiang, Ma zhilong, E mingju Consultant: Liu peiqi Contents Authors:Wang qiang, Ma zhilong, E mingju................................................................................... 1 Consultant: Liu peiqi...........................................................................................................................1 Introduction......................................................................................................................................... 3 1 The historical distribution area and population quantity of Oriental White Stork..........................4 1.1 Breeding ground distribution................................................................................................ 4 1.2 Migration route......................................................................................................................6 1.2.1 Heilongjiang province................................................................................................6 1.2.2 Jilin province..............................................................................................................6 1.2.3 Inner Mongolia province............................................................................................7 2 The comparison of the number of breeding population of Oriental White Storks in nature reserves of Sanjiang Plain..................................................................................................................
    [Show full text]
  • Questionnaire of Community and Forest Farm
    IPP779 V1 Public Disclosure Authorized Landscape Approach to Wildlife Conservation in Northeast China Project Public Disclosure Authorized Social Impact Assessment Report Public Disclosure Authorized Public Disclosure Authorized March, 2015 Executive Summary In order to promote the protection and management of the Siberian tiger and its habitat, the State Forestry Administration and the World Bank jointly applied for the GEF “Landscape Approach to Wildlife Conservation in Northeast China Project”, and got approval in principle on Feb, 29th, 2012. This project is implemented in Northeast China, at the junction area of Heilongjiang Province and Jilin Province, close to the Primorsky Region of Russia and Hamgyong Province of North Korea. It involves Hunchun City, Wangqing County, Dongning County, and Muling County, with a total area of 13879.26 square kilometers. The aggregate amount of the project is 18 million US dollars. The undertaking units of the project include Jilin Forestry Department, Heilongjiang Forestry Department, and the General Bureau of Heilongjiang Forest Industry. Contents of the project mainly include conservation station construction, new nature reserve construction or expansion, tiger-friendly forest management activities and supplementary feeding stations construction. The implementation area all belong to the state-owned forest farms affiliated to the General Bureau of Heilongjiang Forest Industry, Heilongjiang Forestry Department and Jilin Forestry Department. Departments in charge of these involved forest farms
    [Show full text]
  • The Research on Temporal–Spatial Distribution and Morphological Characteristics of Ancient Settlements in the Songhua River Basin
    sustainability Article The Research on Temporal–Spatial Distribution and Morphological Characteristics of Ancient Settlements in the Songhua River Basin Meng Zhu 1,2, Jianfei Dong 2,* and Yingzhi Gao 2,* 1 School of architecture, Harbin institute of technology, Harbin 150001, China; [email protected] 2 Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150006, China * Correspondence: [email protected] (M.Z.); [email protected] (Y.G.) Received: 4 January 2019; Accepted: 5 February 2019; Published: 12 February 2019 Abstract: Settlements have a high cultural and historical value in regions as indicators of human habitation and culture. The Songhua River Basin is on the edge of a traditional cultural center, which has scattered ecological elements, a special culture, and historical faults. Because of the superposition of traces of different ethnic activities in different periods, the Songhua River has a special and diversified cultural foundation and heritage, which is of high research value. However, the ancient settlements in this region have not been given sufficient attention and as a result it is difficult to achieve a complete and systematic study. In order to promote the cultural value of this historical region and the development of a regional and cultural industry, this paper seeks to study the ancient settlements of Songhua River Basin. With the help of GIS technology, archeological excavations, and the concept of ethnic pedigree in ethnology, this study analyzes the temporal–spatial distribution and morphological characteristics of ancient settlements in the Songhua River Basin, in order to determine how the heritage value of these settlements can be sustainably protected.
    [Show full text]
  • Risk Assessment of Water Resources Shortage in Sanjiang Plain Qiuxiang Jiang, Yongqi Cao, Ke Zhao, Zhimei Zhou
    Risk Assessment of Water Resources Shortage in Sanjiang Plain Qiuxiang Jiang, Yongqi Cao, Ke Zhao, Zhimei Zhou To cite this version: Qiuxiang Jiang, Yongqi Cao, Ke Zhao, Zhimei Zhou. Risk Assessment of Water Resources Shortage in Sanjiang Plain. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.556-563, 1010.1007/978-3-319-48357-3_52. hal-01557809 HAL Id: hal-01557809 https://hal.inria.fr/hal-01557809 Submitted on 6 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Risk Assessment of Water Resources Shortage in Sanjiang Plain Qiuxiang Jiang1,2,a,*, Yongqi Cao3, Ke Zhao1, Zhimei Zhou1 1College of Water Conservancy and Architecture, Northeast Agricultural University, Harbin 150030, China; 2Postdoctoral Mobile Research Station of Agricultural and Forestry Economy Management, Northeast Agricultural University, Harbin 150030, China;3College of Mechanics and Architecture, Northwestern Polytechnical University, Xi’an 710129, China [email protected] Abstract. In view of the problems existing in the development and utilization of water resources in Sanjiang Plain, this paper made a study on the risk assessment of water resources shortage in Sanjiang Plain.
    [Show full text]
  • Preliminary Metallogenic Belt and Mineral Deposit Maps for Northeast Asia
    Preliminary Metallogenic Belt and Mineral Deposit Maps for Northeast Asia By Sergey M. Rodionov1, Alexander A. Obolenskiy2, Elimir G. Distanov2, Gombosuren Badarch3, Gunchin Dejidmaa4, Duk Hwan Hwang5, Alexander I.Khanchuk6, Masatsugu Ogasawara7, Warren J. Nokleberg8, Leonid M. Parfenov9, Andrei V. Prokopiev9, Zhan V. Seminskiy10, Alexander P. Smelov9, Hongquan Yan11, Gennandiy V. Birul'kin9, Yuriy V. V. Davydov9, Valeriy Yu. Fridovskiy12 , Gennandiy N. Gamyanin9, Ochir Gerel13, Alexei V. Kostin9, Sergey A. Letunov14, Xujun Li11, Valeriy M. Nikitin12, Sadahisa Sudo7 Vitaly I. Sotnikov2, Alexander V. Spiridonov14, Vitaly A. Stepanov15, Fengyue Sun11, Jiapeng Sun11, Weizhi Sun11, Valeriy M. Supletsov9, Vladimir F. Timofeev9, Oleg A. Tyan9, Valeriy G. Vetluzhskikh9, Koji Wakita7, Yakov V. Yakovlev9, and Lydia M. Zorina14 Open-File Report 03-204 2003 This report is preliminary and has not been reviewed for conformity with U.S. Geological Survey editorial standards or with the North American Stratigraphic Code. Any use of trade, firm, or product names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government. 1 Russian Academy of Sciences, Khabarovsk 2 Russian Academy of Sciences, Novosibirsk 3 Mongolian Academy of Sciences, Ulaanbaatar 4 Mineral Resources Authority of Mongolia, Ulaanbaatar 5 Korean Institute of Geology, Mining, and Materials, Taejon 6 Russian Academy of Sciences, Vladivostok 7 Geological Survey of Japan/AIST, Tsukuba 8 U.S. Geological Survey, Menlo Park 9 Russian Academy of Sciences, Yakutsk 10 Irkutsk State Technical University, Irkutsk 11 Jilin University, Changchun 12 Yakutian State University, Yakutsk 13 Mongolian University of Science and Technology, Ulaanbaatar 14 Russian Academy of Sciences, Irkutsk 15 Russian Academy of Sciences, Blagoveschensk 1 Prepared in Collaboration with Russian Academy of Sciences, Mongolian Academy of Sciences, Jilin University (Changchun Branch), Korean Institute of Geology, Mining, and Materials, and Geological Survey of Japan/AIST.
    [Show full text]
  • Sapndxh1-GEF 14Jan2005 2
    PROJECT EXECUTIVE SUMMARY GEF COUNCIL WORK PROGRAM SUBMISSION AGENCY’S PROJECT ID: 3998-PRC FINANCING PLAN (US$) GEFSEC PROJECT ID: 1126 GEF PROJECT/COMPONENT COUNTRY: The People’s Republic of China (PRC) Project 12,140,000 PROJECT TITLE: Sanjiang Plain Wetlands Protection PDF A GEF AGENCY: Asian Development Bank (ADB) OTHER EXECUTING AGENCY(IES ): Heilongjiang PDF B 330,000 Provincial Government (HPG) PDF C DURATION: 5 years Sub-Total GEF 12,470,000 GEF FOCAL AREA: Biodiversity conservation CO-FINANCING GEF OPERATIONAL PROGRAM: OP2: Coastal, Marine ADB loan 15,000,000 and Freshwater Ecosystems Government 24,370,000 GEF STRATEGIC PRIORITY: BD-1. Catalyzing Bilateral Sustainability of Protected Areas; BD-2. Mainstreaming NGOs Biodiversity in Production Landscapes and Sectors; and Others(State Forest farms) 4,040,000 BD-4. Generation and Dissemination of Best Practices for Sub-Total Co-financing: 43,410,000 Addressing Current and Emerging Biodiversity Issues Total Project Financing: 55,880,000 FINANCING FOR ASSOCIATED ACTIVITIES IF Pipeline Entry Date: 22 October 1999 ANY*: 1,150,000 ESTIMATED STARTING DATE: 1 July 2005 LEVERAGED RESOURCES IF ANY: EA FEE: $872,920 *Details provided under the Financial Modality and Cost Effectiveness section CONTRIBUTION TO KEY INDICATORS OF THE BUSINESS PLAN: The Project contributes to (i) improvements in management effectiveness of 470,000 ha of Protected Areas (PAs; in 6 reserves) for sustainable conservation and protection; (ii) improvements measured against baseline scenario for management capacity and budgets; (iii) replication of model wetland restoration approach; and (iv) improved knowledge and dissemination of successful demonstrations on wetlands watershed management approach for over 150,000 ha wetland Nature Reserve areas by 2010.
    [Show full text]
  • Investment and Employment Opportunities
    INVESTMENT AND EMPLOYMENT OPPORTUNITIES IN CHINA Systems Evaluation, Prediction, and Decision-Making Series Series Editor Yi Lin, PhD Professor of Systems Science and Economics School of Economics and Management Nanjing University of Aeronautics and Astronautics Grey Game Theory and Its Applications in Economic Decision-Making Zhigeng Fang, Sifeng Liu, Hongxing Shi, and Yi Lin ISBN 978-1-4200-8739-0 Hybrid Rough Sets and Applications in Uncertain Decision-Making Lirong Jian, Sifeng Liu, and Yi Lin ISBN 978-1-4200-8748-2 Investment and Employment Opportunities in China Yi Lin and Tao Lixin ISBN 978-1-4822-5207-1 Irregularities and Prediction of Major Disasters Yi Lin ISBN: 978-1-4200-8745-1 Measurement Data Modeling and Parameter Estimation Zhengming Wang, Dongyun Yi, Xiaojun Duan, Jing Yao, and Defeng Gu ISBN 978-1-4398-5378-8 Optimization of Regional Industrial Structures and Applications Yaoguo Dang, Sifeng Liu, and Yuhong Wang ISBN 978-1-4200-8747-5 Systems Evaluation: Methods, Models, and Applications Sifeng Liu, Naiming Xie, Chaoqing Yuan, and Zhigeng Fang ISBN 978-1-4200-8846-5 Systemic Yoyos: Some Impacts of the Second Dimension Yi Lin ISBN 978-1-4200-8820-5 Theory and Approaches of Unascertained Group Decision-Making Jianjun Zhu ISBN 978-1-4200-8750-5 Theory of Science and Technology Transfer and Applications Sifeng Liu, Zhigeng Fang, Hongxing Shi, and Benhai Guo ISBN 978-1-4200-8741-3 INVESTMENT AND EMPLOYMENT OPPORTUNITIES IN CHINA Jeffrey Yi-Lin Forrest • Tao Lixin CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2015 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S.
    [Show full text]
  • Chapter 2 Drainage Basins of the Sea of Okhotsk and Sea of Japan
    99 CHAPTER 2 DRAINAGE BASINS OF THE SEA OF OKHOTSK AND SEA OF JAPAN This chapter deals with the assessment of transboundary rivers, lakes and groundwaters, as well as selected Ramsar Sites and other wetlands of transboundary importance, which are located in the basins of the Sea of Okhotsk and the Sea of Japan. Assessed transboundary waters in the drainage basins of the Sea of Okhotsk and the Sea of Japan Transboundary groundwaters Ramsar Sites/wetlands of Basin/sub-basin(s) Recipient Riparian countries Lakes in the basin within the basin transboundary importance Amur Sea of Okhotsk CN, MN, RU Middle Heilongjian-Amur River Basin (CN, RU) - Argun/Hailaer Amur CN, RU Daurian Wetlands: (CN, MN, RU) - Ussuri/Wusuli Amur CN, RU Lake Khanka/ Xingkai Lake National Nature Xingkai Reserve — Lake Khanka: (CN, RU) Sujfun/Razdolnaya Sea of Japan CN, RU Tumen/Tumannaya Sea of Japan CN, KP, RU Note: Transboundary groundwaters in italics are not assessed in the present publication. Long-term mean annual flow (km³) of rivers discharging to the Sea of lakes in the basin; among them the transboundary Lake Xing- Okhotsk and the Sea of Japan kai/Khanka (in the sub-basin of the Ussuri/Wusuli River) and River, Station, Buirnuur/Beier (in the sub-basin of Argun/Hailaer River). In Time series the Russian part of the Amur Basin, lakes and reservoirs make Amur, Bogorodskoye, up some 0.6% of the area. 1962-1987 323.392 Basin of the Amur River Tumen, mouth, 1934-2000 10.15 Country Area in the country (km2) Country’s share (%) China 902 300 43 Ussuri, Kirovsky, 7.01 1965-1984 Mongolia 195 263 9 Russian Federation 1 003 000 48 Sujfun/Razdolnaya, 2.26 1936-2009 Total 2 100 563 0 50 100 150 200 250 300 350 Note: The share of the Democratic People’s Republic of Korea of the basin in the Lake Tianchi watershed at the Source: GRDC, Koblenz.
    [Show full text]
  • Benthic Invertebrates Monitoring of the Muling River Basin in Northeast China
    Benthic Invertebrates Monitoring of the Muling River basin in Northeast China Xu Sun ( [email protected] ) Northeast Forestry University https://orcid.org/0000-0002-7811-1662 Hongxian Yu Northeast Forestry University Research Keywords: Muling River basin, macroinvertebrates, functional feeding groups, environmental variables Posted Date: June 26th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-37350/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/14 Abstract Background: Muling River is the fifth-largest river in Heilongjiang Province, and it is also the main feeding river to the Ussuri River which is the boundary river of China and Russia in Heilongjiang Province northeast of China. Muling River basin located in the south of Sanjiang Plain. Macroinvertebrate samples were collected using a D-frame net and Shannon-Wiener index were calculated in terms of abundance. Results: A total of 158 genera or species macroinvertebrate were collected from the 28 sampling sites and classied into six functional feeding groups including 61 gatherers/collectors, 42 predators, 22 scrapers, 14 shredders, 11 lterers/collectors and 8 omnivores. The correlation and relationship between environmental variables and macroinvertebrate functional feeding groups was explored using Pearson analysis and redundancy analysis. The analysis results displayed that macroinvertebrate functional feeding groups had strong relationships with the environmental variables in the Muling River basin. Conclusions: All FFGs, total abundance and Shannon-Wiener index were not signicantly different. Total abundance of macroinvertebrates was higher in summer and biodiversity index was higher in autumn. Environmental factors of natural gradients and nutrition indicator were not signicantly different, while others were signicantly different.
    [Show full text]