Pollution Characteristics and Ecological Risk of Polycyclic Aromatic Hydrocarbons (Pahs) in Surface Sediments of the Southern Part of the Haihe River System in China
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Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China
Downloaded from orbit.dtu.dk on: Dec 31, 2019 Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China Davidsen, Claus; Cardenal, Silvio Javier Pereira; Liu, Suxia; Mo, Xingguo; Rosbjerg, Dan; Bauer- Gottwein, Peter Published in: Journal of Water Resources Planning and Management Link to article, DOI: 10.1061/(ASCE)WR.1943-5452.0000482 Publication date: 2015 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Davidsen, C., Cardenal, S. J. P., Liu, S., Mo, X., Rosbjerg, D., & Bauer-Gottwein, P. (2015). Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China. Journal of Water Resources Planning and Management, 141(7), [04014086]. DOI: 10.1061/(ASCE)WR.1943- 5452.0000482 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China Claus Davidsen1; Silvio J. -
Using Species Distribution Model to Estimate the Wintering Population Size of the Endangered Scaly-Sided Merganser in China
RESEARCH ARTICLE Using Species Distribution Model to Estimate the Wintering Population Size of the Endangered Scaly-Sided Merganser in China Qing Zeng1, Yamian Zhang1, Gongqi Sun1, Hairui Duo1, Li Wen1,2, Guangchun Lei1* 1 School of Nature Conservation, Beijing Forestry University, Beijing, China, 2 Office of Environment and Heritage, Sydney, Australia * [email protected] Abstract Scaly-sided Merganser is a globally endangered species restricted to eastern Asia. Estimat- ing its population is difficult and considerable gap exists between populations at its breeding grounds and wintering sites. In this study, we built a species distribution model (SDM) using OPEN ACCESS Maxent with presence-only data to predict the potential wintering habitat for Scaly-sided Citation: Zeng Q, Zhang Y, Sun G, Duo H, Wen L, Merganser in China. Area under the receiver operating characteristic curve (AUC) method Lei G (2015) Using Species Distribution Model to Estimate the Wintering Population Size of the suggests high predictive power of the model (training and testing AUC were 0.97 and 0.96 Endangered Scaly-Sided Merganser in China. PLoS respectively). The most significant environmental variables included annual mean tempera- ONE 10(2): e0117307. doi:10.1371/journal. ture, mean temperature of coldest quarter, minimum temperature of coldest month and pre- pone.0117307 cipitation of driest quarter. Suitable conditions for Scaly-sided Merganser are predicted in Academic Editor: Stefan Lötters, Trier University, the middle and lower reaches of the Yangtze River, especially in Jiangxi, Hunan and Hubei GERMANY Provinces. The predicted suitable habitat embraces 6,984 km of river. Based on survey re- Received: May 28, 2014 sults from three consecutive winters (2010–2012) and previous studies, we estimated that Accepted: December 23, 2014 the entire wintering population of Scaly-sided Merganser in China to be 3,561 ± 478 individ- Published: February 3, 2015 uals, which is consistent with estimate in its breeding ground. -
Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China
Downloaded from orbit.dtu.dk on: Oct 04, 2021 Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China Davidsen, Claus; Cardenal, Silvio Javier Pereira; Liu, Suxia; Mo, Xingguo; Rosbjerg, Dan; Bauer- Gottwein, Peter Published in: Journal of Water Resources Planning and Management Link to article, DOI: 10.1061/(ASCE)WR.1943-5452.0000482 Publication date: 2015 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Davidsen, C., Cardenal, S. J. P., Liu, S., Mo, X., Rosbjerg, D., & Bauer-Gottwein, P. (2015). Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China. Journal of Water Resources Planning and Management, 141(7), [04014086]. https://doi.org/10.1061/(ASCE)WR.1943- 5452.0000482 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China Claus Davidsen1; Silvio J. -
2005 Report on the State of the Environment in China
2005 Report on the State of the Environment in China State Environmental Protection Administration Table of Contents Environment....................................................................................................................................7 Marine Environment ....................................................................................................................35 Atmospheric Environment...........................................................................................................43 Acoustic Environment ..................................................................................................................52 Solid Wastes...................................................................................................................................56 Radiation and Radioactive Environment....................................................................................59 Arable Land/Land Resources ......................................................................................................62 Forests ............................................................................................................................................67 Grassland.......................................................................................................................................70 Biodiversity....................................................................................................................................75 Climate and Natural Disasters.....................................................................................................81 -
A Case Study for the Yangtze River Basin Yang
RESERVOIR DELINEATION AND CUMULATIVE IMPACTS ASSESSMENT IN LARGE RIVER BASINS: A CASE STUDY FOR THE YANGTZE RIVER BASIN YANG XIANKUN NATIONAL UNIVERSITY OF SINGAPORE 2014 RESERVOIR DELINEATION AND CUMULATIVE IMPACTS ASSESSMENT IN LARGE RIVER BASINS: A CASE STUDY FOR THE YANGTZE RIVER BASIN YANG XIANKUN (M.Sc. Wuhan University) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHYLOSOPHY DEPARTMENT OF GEOGRAPHY NATIONAL UNIVERSITY OF SINGAPORE 2014 Declaration I hereby declare that this thesis is my original work and it has been written by me in its entirety. I have duly acknowledged all the sources of information which have been used in the thesis. This thesis has also not been submitted for any degree in any university previously. ___________ ___________ Yang Xiankun 7 August, 2014 I Acknowledgements I would like to first thank my advisor, Professor Lu Xixi, for his intellectual support and attention to detail throughout this entire process. Without his inspirational and constant support, I would never have been able to finish my doctoral research. In addition, brainstorming and fleshing out ideas with my committee, Dr. Liew Soon Chin and Prof. David Higgitt, was invaluable. I appreciate the time they have taken to guide my work and have enjoyed all of the discussions over the years. Many thanks go to the faculty and staff of the Department of Geography, the Faculty of Arts and Social Sciences, and the National University of Singapore for their administrative and financial support. My thanks also go to my friends, including Lishan, Yingwei, Jinghan, Shaoda, Suraj, Trinh, Seonyoung, Swehlaing, Hongjuan, Linlin, Nick and Yikang, for the camaraderie and friendship over the past four years. -
Fluctuation of the Water Environmental Carrying Capacity in a Huge River-Connected Lake
Int. J. Environ. Res. Public Health 2015, 12, 3564-3578; doi:10.3390/ijerph120403564 OPEN ACCESS International Journal of Environmental Research and Public Health ISSN 1660-4601 www.mdpi.com/journal/ijerph Article Fluctuation of the Water Environmental Carrying Capacity in a Huge River-Connected Lake Hua Wang 1,*, Yiyi Zhou 2,†, Yang Tang 2,†, Mengan Wu 2,† and Yanqing Deng 3 1 Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China 2 College of Environment, Hohai University, Nanjing 210098, China; E-Mails: [email protected] (Y.Z.); [email protected] (Y.T.); [email protected] (M.W.) 3 Hydrology Bureau of Jiangxi Province, Nanchang 330002, China; E-Mail: [email protected] † These authors contributed equally to this work. * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +86-025-8583-6549. Academic Editor: Miklas Scholz Received: 25 February 2015 / Accepted: 24 March 2015 / Published: 30 March 2015 Abstract: A new method, with the non-fully mixed coefficient (NFMC) considered, was put forward to calculate the water environmental carrying capacity (WECC) for huge river-connected lakes, of which the hydrological conditions always vary widely during a year. Poyang Lake, the most typical river-connected lake and the largest freshwater lake in China, was selected as the research area. Based on field investigations and numerical simulation, the monthly pollutant degradation coefficients and non-fully mixed coefficients of different lake regions were determined to explore the WECCs of COD, TN and TP of Poyang Lake in a common water year. -
Coal, Water, and Grasslands in the Three Norths
Coal, Water, and Grasslands in the Three Norths August 2019 The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH a non-profit, federally owned enterprise, implementing international cooperation projects and measures in the field of sustainable development on behalf of the German Government, as well as other national and international clients. The German Energy Transition Expertise for China Project, which is funded and commissioned by the German Federal Ministry for Economic Affairs and Energy (BMWi), supports the sustainable development of the Chinese energy sector by transferring knowledge and experiences of German energy transition (Energiewende) experts to its partner organisation in China: the China National Renewable Energy Centre (CNREC), a Chinese think tank for advising the National Energy Administration (NEA) on renewable energy policies and the general process of energy transition. CNREC is a part of Energy Research Institute (ERI) of National Development and Reform Commission (NDRC). Contact: Anders Hove Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH China Tayuan Diplomatic Office Building 1-15-1 No. 14, Liangmahe Nanlu, Chaoyang District Beijing 100600 PRC [email protected] www.giz.de/china Table of Contents Executive summary 1 1. The Three Norths region features high water-stress, high coal use, and abundant grasslands 3 1.1 The Three Norths is China’s main base for coal production, coal power and coal chemicals 3 1.2 The Three Norths faces high water stress 6 1.3 Water consumption of the coal industry and irrigation of grassland relatively low 7 1.4 Grassland area and productivity showed several trends during 1980-2015 9 2. -
Water Quality Assessment and Pollution Source Identification of The
sustainability Article Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods Weili Duan 1,*, Bin He 1,*, Daniel Nover 2, Guishan Yang 1, Wen Chen 1, Huifang Meng 1, Shan Zou 3 and Chuanming Liu 4 1 Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; [email protected] (G.Y.); [email protected] (W.C.); [email protected] (H.M.) 2 AAAS Science and Technology Policy Fellow, U.S. Agency for International Development, Accra, Ghana; [email protected] 3 Institute of Agricultural Economics and Development, The Chinese Academy of Agricultural Sciences, Beijing 100081, China; [email protected] 4 Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an 223300, China; [email protected] * Correspondence: [email protected] (W.D.); [email protected] (B.H.); Tel.: +86-25-8688-2173 (W.D.) Academic Editor: Vincenzo Torretta Received: 2 November 2015; Accepted: 19 January 2016; Published: 30 January 2016 Abstract: Multivariate statistical methods including cluster analysis (CA), discriminant analysis (DA) and component analysis/factor analysis (PCA/FA), were applied to explore the surface water quality datasets including 14 parameters at 28 sites of the Eastern Poyang Lake Basin, Jiangxi Province of China, from January 2012 to April 2015, characterize spatiotemporal variation in pollution and identify potential pollution sources. The 28 sampling stations were divided into two periods (wet season and dry season) and two regions (low pollution and high pollution), respectively, using hierarchical CA method. -
Jiangxi Biologic Energy Forest Demonstration Base Environmental
Jiangxi Biologic Energy Forest Demonstration Base Construction Project Funded by European Investment Bank Environmental and Social Impact Assessment Report Evaluation Unit: Jiangxi Academy of Agricultural Science Jiangxi Agricultural University Collaboration: Jiangxi Forestry Department City and County Forestry Bureaus 1 CONTENTS 1 BACKGROUND INTRODUCTION OF THE PROJECT ······················································1 1.1 Project background·························································································1 1.1.1 Background of the project emergence··················································1 1.1.2 Project sources·····················································································1 1.1.3 Significance of the project construction···············································1 1.2 Purposes of the preparation of the report························································1 1.3 Brief introduction of the environmental impact assessment ···························2 1.3.1 Significance of the project ···································································2 1.3.2 Structure of the report··········································································3 1.4 Bases of the evaluation···················································································4 1.4.1 Relevant state laws and regulations ·····················································4 1.4.2 Requirements of World Bank ······························································6 1.4.3 Specifications -
Spatial and Temporal Variation Characteristics of Snowfall in the Haihe River Basin from 1960 to 2016
water Article Spatial and Temporal Variation Characteristics of Snowfall in the Haihe River Basin from 1960 to 2016 Xu Wu 1,2, Su Li 1,3,*, Bin Liu 1,3,* and Dan Xu 1 1 School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, China; [email protected] (X.W.); [email protected] (D.X.) 2 Hydrology and Water Resources Survey Bureau of Handan, Handan 056001, China 3 Hebei Key Laboratory of Intelligent Water Conservancy, Handan 056001, China * Correspondence: [email protected] (S.L.); [email protected] (B.L.); Tel.: +86-310-312-3077 (S.L.); +86-310-312-3702 (B.L.) Abstract: The spatio-temporal variation of precipitation under global warming had been a research hotspot. Snowfall is an important part of precipitation, and its variabilities and trends in different regions have received great attention. In this paper, the Haihe River Basin is used as a case, and we employ the K-means clustering method to divide the basin into four sub-regions. The double temperature threshold method in the form of the exponential equation is used in this study to identify precipitation phase states, based on daily temperature, snowfall, and precipitation data from 43 meteorological stations in and around the Haihe River Basin from 1960 to 1979. Then, daily snowfall data from 1960 to 2016 are established, and the spatial and temporal variation of snowfall in the Haihe River Basin are analyzed according to the snowfall levels as determined by the national meteorological department. The results evalueted in four different zones show that (1) the snowfall at each meteorological station can be effectively estimated at an annual scale through the exponential equation, for which the correlation coefficient of each division is above 0.95, and the relative error is Citation: Wu, X.; Li, S.; Liu, B.; Xu, D. -
Industries Share Revenue for Watershed Protection, China (2012)
Industries share sales revenue for watershed protection – Xingguo County, China Authors: Wenming, L. et al. compiled by Rodericks, S. Short title: Industries share revenue for watershed protection, China Key Message: Xinggou County collects mandatory payments from local industries in order to finance watershed protection measurements in the area. Reviewer: Prof. Lan Fang Suggested citation: TEEBcase (2012) ‘Industries share revenue for watershed protection, China’ – compiled by Rodricks, S. available at: TEEBweb.org. What was the problem? Xingguo County is part of the Jiangxi province which is situated on the south bank of the Yangtze River in Eastern China. The total area of the province amounts 16.7 million ha of which 36 per cent is mountainous land and 42 per cent hilly land, while the remaining 22 per cent constitutes plain land and water bodies. 2009, the total area of the arable land of the province was about 2.8 million ha. The forest cover is 60 per cent (10.7 million ha) (The People’s Government of Jiangxi Province). In the whole province around 420,000 hectares of freshwater are used for aquaculture. Of a total of 155 species around 30 fish species play a central role, such as carp, crucian carp, black carp, and silver carp etc. (The People’s Government of Jiangxi Province). Almost all land surface (97.2 per cent i.e. 16.2 million ha) drains into Poyang Lake which is the main water body in Jiangxi province receiving its water from the Fu River, Gan River, Rao River, Xin River and Xiu River. During the 1960s and 1970s, Jiangxi Province as a whole suffered from severe environmental degradation. -
Threatened Birds of Asia: the Birdlife International Red Data Book
Threatened Birds of Asia: The BirdLife International Red Data Book Editors N. J. COLLAR (Editor-in-chief), A. V. ANDREEV, S. CHAN, M. J. CROSBY, S. SUBRAMANYA and J. A. TOBIAS Maps by RUDYANTO and M. J. CROSBY Principal compilers and data contributors ■ BANGLADESH P. Thompson ■ BHUTAN R. Pradhan; C. Inskipp, T. Inskipp ■ CAMBODIA Sun Hean; C. M. Poole ■ CHINA ■ MAINLAND CHINA Zheng Guangmei; Ding Changqing, Gao Wei, Gao Yuren, Li Fulai, Liu Naifa, Ma Zhijun, the late Tan Yaokuang, Wang Qishan, Xu Weishu, Yang Lan, Yu Zhiwei, Zhang Zhengwang. ■ HONG KONG Hong Kong Bird Watching Society (BirdLife Affiliate); H. F. Cheung; F. N. Y. Lock, C. K. W. Ma, Y. T. Yu. ■ TAIWAN Wild Bird Federation of Taiwan (BirdLife Partner); L. Liu Severinghaus; Chang Chin-lung, Chiang Ming-liang, Fang Woei-horng, Ho Yi-hsian, Hwang Kwang-yin, Lin Wei-yuan, Lin Wen-horn, Lo Hung-ren, Sha Chian-chung, Yau Cheng-teh. ■ INDIA Bombay Natural History Society (BirdLife Partner Designate) and Sálim Ali Centre for Ornithology and Natural History; L. Vijayan and V. S. Vijayan; S. Balachandran, R. Bhargava, P. C. Bhattacharjee, S. Bhupathy, A. Chaudhury, P. Gole, S. A. Hussain, R. Kaul, U. Lachungpa, R. Naroji, S. Pandey, A. Pittie, V. Prakash, A. Rahmani, P. Saikia, R. Sankaran, P. Singh, R. Sugathan, Zafar-ul Islam ■ INDONESIA BirdLife International Indonesia Country Programme; Ria Saryanthi; D. Agista, S. van Balen, Y. Cahyadin, R. F. A. Grimmett, F. R. Lambert, M. Poulsen, Rudyanto, I. Setiawan, C. Trainor ■ JAPAN Wild Bird Society of Japan (BirdLife Partner); Y. Fujimaki; Y. Kanai, H.