TMDL development for the Taihu Lake's influent rivers, China using variable daily load expressions

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• 作者：Ce Wang ; Jun Bi
• 关键词：TMDL ; Taihu Lake ; Nutrient ; Influent river
• 刊名：Stochastic Environmental Research and Risk Assessment (SERRA)
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：30
• 期：3
• 页码：911-921
• 全文大小：3,758 KB
• 参考文献：Ambrose RB, Barnwell TO (2009) Development of water quality modeling in the United States. Environ Eng Res 14:200–210CrossRef
  Borah D, Yagow G, Saleh A, Barnes P, Rosenthal W, Krug E, Hauck L (2006) Sediment and nutrient modeling for TMDL development and implementation. Trans Asae 49:967–986CrossRef
  Chen D, Lu J, Wang H, Shen Y, Gong D (2011) Combined inverse modeling approach and load duration curve method for variable nitrogen total maximum daily load development in an agricultural watershed. Environ Sci Pollut Res 18:1405–1413CrossRef
  Cleland BR (2002) TMDL development from the “bottom up”–Part II: Using duration curves to connect the pieces Proceedings of the Water Environment Federation 2002:687–697
  Cleland BR (2003) TMDL Development from the “bottom up”–Part III: Duration Curves and wet-weather assessments Proceedings of the Water Environment Federation 2003:1740–1766
  DePinto JV, Freedman PL, Dilks DM, Larson WM (2004) Models quantify the total maximum daily load process. J Environ Eng 130:703–713CrossRef
  EPA US (2007) Options for expression of daily loads in TMDLs. U.S. Environmental Protection Agency, Washington, DC
  Gronewold AD, Borsuk ME (2010) Improving water quality assessments through a hierarchical Bayesian analysis of variability. Environ Sci Technol 44:7858–7864. doi:10.​1021/​es100657p CrossRef
  Guo G-H, Wu F-C, He H-P, Zhang R-Q, Li H-X (2013) Screening level ecological risk assessment for synthetic musks in surface water of Lake Taihu, China. Stoch Environ Res Risk Assess 27:111–119CrossRef
  Hill CM (2001) PLOAD version 3.0-An Arc View GIS Tool to Calculate Nonpoint Sources of Pollution in Watershed and Stormwater Projects: User’s Manual US Environmental Protection Agency, Washington, DC
  Huang C et al (2014) Detection of algal bloom and factors influencing its formation in Taihu Lake from 2000 to 2011 by MODIS. Environ Earth Sci 71:3705–3714CrossRef
  Li Y, Song B, Chen Y, Chen L, Yu N, Olson D (2010) Changes in the trophic interactions and the community structure of Lake Taihu (China) ecosystem from the 1960s to 1990s. Aquat Ecol 44:337–348CrossRef
  Li C, Ye C, Zhang Y, Zhao X, Kong X, Chen X (2013a) Temporal and Spatial distribution of algal density and its relationship with wate quality and wind factor in the littoral zone of Lake Taihu. Res Environ Sci 26:1290–1300 (in Chinese)
  Li Y, Tang C, Wang C, Anim DO, Yu Z, Acharya K (2013b) Improved Yangtze River Diversions: are they helping to solve algal bloom problems in Lake Taihu, China? Ecol Eng 51:104–116CrossRef
  Li J, Min Q, Li W, Jiao W, Yuan Z (2014) Agricultural Pollution of the river-netted plain areas in the Taihu Lake Basin: a case study of Changzhou and Yixing. J Ecol Rural Environ 30:167–173 (in Chinese)
  Luo J, Pang Y, Luo Q, Lin Y (2004) Study on water environment capacity for reversing current channels in plain river network region in Taihu Lake. Basin J Hohai Univ (Nat Sci) 32:144–146 (in Chinese)
  National Development and Reform Commission (2013) The overall program on integrated regulation of Taihu Lake Basin (in Chinese), http://​www.​sdpc.​gov.​cn/​fzgggz/​dqjj/​zhdt/​201401/​t20140114_​575733.​html . Beijing
  Sabo R, Boone E (2013) Analysis of variance. Statistical Research Methods: A Guide for Non-Statisticians. Springer, New York, pp 147–163CrossRef
  Shen Z, Hong Q, Chu Z, Gong Y (2011) A framework for priority non-point source area identification and load estimation integrated with APPI and PLOAD model in Fujiang Watershed, China. Agric Water Manag 98:977–989CrossRef
  Shen M, Su B, Hui L, Qian Z (2012) Spatiotemporal distribution of non-point source pollution in the plain river network area of the Taige canal watershed. J Beijing Norm Univ (Nat Sci) 48:463–470 (in Chinese)
  Tech T (2009) Loading Simulation Program in C ++ (LSPC) Version 3.1 User’s Manual. Fairfax, VA
  Vieweg I, Hop H, Brey T, Huber S, Ambrose WG Jr, Locke VWL, Gabrielsen GW (2012) Persistent organic pollutants in four bivalve species from Svalbard waters. Environ Pollut 161:134–142CrossRef
  Wool TA, Ambrose RB, Martin JL, Comer EA (2001) Water quality analysis simulation program (WASP) Version 6.0 Draft: User’s Manual. U.S. Environmental Protection Agency-Region 4, Atlanta, GA
  Wool TA, Davie SR, Rodriguez HN (2003) Development of three-dimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse River Estuary, North Carolina. J Water Resour Plan Manag 129:295–306CrossRef
  Zhang L, Liu W, You B, Bo B (2009) Characteristics of Pollutant Sources of Caoqiao River in Taihu Lake Basin. Res Environ Sci 22:1150–1155 (in Chinese)
  Zhang F et al (2014) Molecular and structural characterization of dissolved organic matter during and post cyanobacterial bloom in Taihu by combination of NMR spectroscopy and FTICR mass spectrometry. Water Res 57:280–294CrossRef
  Zhao T, Li Q, Lu L, Gang Y, Dinglong L, Wenyi Z (2011) Analysis of water environmental pollution in plain river network region in small watershed of Caoqiao River. Trans CSAE 27:170–175 (in Chinese)
  Zhong J, Liu M, Wang Y, Yang X, Jiang X, Xu C (2014) Spatial correlation of major water quality indices between the lake and rivers in Taihu Lake Basin. Chin J Ecol 33:2176–2182 (in Chinese)
  Zhu M, Zhu G, Li W, Zhang Y, Zhao L, Gu Z (2013) Estimation of the algal-available phosphorus pool in sediments of a large, shallow eutrophic lake (Taihu, China) using profiled SMT fractional analysis. Environ Pollut 173:216–223CrossRef
  
• 作者单位：Ce Wang (1)
  Jun Bi (1)
  
  1. State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, No. 163 Xianlin Avenue, Nanjing, 210023, People’s Republic of China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Mathematical Applications in Environmental Science
  Mathematical Applications in Geosciences
  Probability Theory and Stochastic Processes
  Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
  Numerical and Computational Methods in Engineering
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1436-3259

文摘

Influent river carrying nutrient pollutants from watershed loads makes a great contribution to the eutrophication in river-fed lake. It is scientific standard to make policies on river pollution control based on loading capacity of the river of interest. To control eutrophication in Taihu Lake has been the focal point of “The Twelfth Five-Year Guideline” proposed by Chinese government. The Taigeyunhe, Caoqiaohe and Yincungang Rivers which were the most polluted influent rivers in Taihu Lake Basin were scheduled for nutrient total maximum daily load (TMDL). A variety of mechanistic and empirical models are applied worldwide for TMDL development. However, model selection depends on management objectives, site-specific characteristics and availability of data resource. In this study, based on watershed characteristics and limited data, a nutrient TMDL is developed using flow and temporally variable daily load expressions. The simple and effective approaches specify allowable daily maximum loads for controlling on instantaneous high load and allowable daily median loads for achieving long-term TMDL allocation. For the entire river system, loading capacities are much lower during low flows. The maximum percent load reductions for biochemical oxygen demand, ammonia nitrogen, total nitrogen in spring and total phosphorus in winter can be obtained when pollution source inputs seasonally vary. This study provides local authority with two different alternatives in decision-making for pollution control on influent rivers and then to reduce external loads to the lake.