Framework Design and Influencing Factor Analysis of a Water Environmental Functional Zone-Based Effluent Trading System

AbstractsThe efficacy of traditional effluent trading systems is questionable due to their neglect of seasonal hydrological variation and the creation of upstream hot spots within a watershed. Besides, few studies have been conducted to distinguish the impacts of each influencing factor on effluent trading systems outputs. In this study, a water environmental functional zone-based effluent trading systems framework was configured and a comprehensive analysis of its influencing factors was conducted. This proposed water environmental functional zone-based effluent trading systems was then applied for the control of chemical oxygen demand in the Beiyun River watershed, Beijing, China. Optimal trading results highlighted the integration of water quality constraints and different hydrological seasons, especially for downstream dischargers. The optimal trading of each discharger, in terms of pollutant reduction load and abatement cost, is greatly influenced by environmental and political factors such as background water quality, the location of river assessment points, and tradable discharge permits. In addition, the initial permit allowance has little influence on the market as a whole but does impact the individual discharger. These results provide information that is critical to understanding the impact of policy design on the functionality of an effluent trading systems.

[1]  I. Schlosser,et al.  Water Resources and the Land-Water Interface , 1978, Science.

[2]  Barry D. Solomon,et al.  Point-nonpoint effluent trading in watersheds: a review and critique , 1998 .

[3]  R. Kaiser,et al.  THE STRUCTURE AND PRACTICE OF WATER QUALITY TRADING MARKETS 1 , 2002 .

[4]  R. Horan,et al.  Point‐nonpoint nutrient trading in the Susquehanna River basin , 2002 .

[5]  X. Wang,et al.  Modeling for point-non-point source effluent trading: perspective of non-point sources regulation in China. , 2002, The Science of the total environment.

[6]  Wei Zhang,et al.  Modeling and simulation of point-non-point source effluent trading in Taihu Lake area: perspective of non-point sources control in China. , 2004, The Science of the total environment.

[7]  Laura Mancini,et al.  River pollution from non-point sources: a new simplified method of assessment. , 2005, Journal of environmental management.

[8]  G H Huang,et al.  An inexact fuzzy two-stage stochastic model for quantifying the efficiency of nonpoint source effluent trading under uncertainty. , 2005, The Science of the total environment.

[9]  ADDRESSING TOTAL PHOSPHORUS IMPAIRMENTS WITH WATER QUALITY TRADING 1 , 2006 .

[10]  Ni-Bin Chang,et al.  Watershed-based point sources permitting strategy and dynamic permit-trading analysis. , 2007, Journal of environmental management.

[11]  Wan-Fa Yang,et al.  Optimal nonpoint source pollution control strategies for a reservoir watershed in Taiwan. , 2007, Journal of environmental management.

[12]  K. Stephenson,et al.  Achieving Nutrient Water Quality Goals: Bringing Market‐Like Principles to Water Quality Management *1 , 2007 .

[13]  W. Dodds,et al.  Headwater Influences on Downstream Water Quality , 2007, Environmental management.

[14]  Mohammad Reza Nikoo,et al.  Developing real time operating rules for trading discharge permits in rivers: Application of Bayesian Networks , 2009, Environ. Model. Softw..

[15]  Asmeret Bier Simulating a thermal water quality trading market for education and model development. , 2010, Journal of environmental management.

[16]  Gregory L. Poe,et al.  Potential cost savings from discharge allowance trading: A case study and implications for water quality trading , 2010 .

[17]  Christopher C. Obropta,et al.  Water Quality Model Uncertainty Analysis of a Point‐Point Source Phosphorus Trading Program 1 , 2011 .

[18]  James Shortle,et al.  Baseline requirements can hinder trades in water quality trading programs: Evidence from the Conestoga watershed. , 2011, Journal of environmental management.

[19]  Upstream to downstream: stormwater quality in Mayagüez, Puerto Rico , 2012, Environmental Monitoring and Assessment.

[20]  L. Shabman,et al.  Rhetoric and Reality of Water Quality Trading and the Potential for Market‐like Reform 1 , 2011 .

[21]  Richard D. Horan,et al.  Economic and Ecological Rules for Water Quality Trading 1 , 2011 .

[22]  Zhenyao Shen,et al.  Temporal dimension and water quality control in an emission trading scheme based on water environmental functional zone , 2011 .

[23]  Shiliang Su,et al.  Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River, China. , 2011, Water research.

[24]  Simon Lorentz,et al.  Influence of basin connectivity on sediment source, transport, and storage within the Mkabela Basin, South Africa , 2012 .

[25]  Y P Li,et al.  A robust simulation–optimization modeling system for effluent trading—a case study of nonpoint source pollution control , 2013, Environmental Science and Pollution Research.

[26]  R. Rivero,et al.  WATER QUALITY TRADING PROGRAMS TOWARDS SOLVING ENVIRONMENTAL POLLUTION PROBLEMS , 2013 .

[27]  D. Smeaton,et al.  An integrated model for simulating nitrogen trading in an agricultural catchment with complex hydrogeology. , 2013, Journal of environmental management.

[28]  A. Keller,et al.  Attenuation coefficients for water quality trading. , 2014, Environmental science & technology.

[29]  Lauren A. Patterson,et al.  Optimizing the scale of markets for water quality trading , 2014 .

[30]  Lei Chen,et al.  Development of an integrated modeling approach for identifying multilevel non‐point‐source priority management areas at the watershed scale , 2014 .

[31]  Guohe Huang,et al.  A Recourse-Based Interval Fuzzy Programming Model for Point-Nonpoint Source Effluent Trading under Uncertainty† , 2014 .

[32]  F. Miralles-Wilhelm,et al.  Modeling a phosphorus credit trading program in an agricultural watershed. , 2014, Journal of environmental management.

[33]  Oliver Saavedra,et al.  Optimization of integrated water quality management for agricultural efficiency and environmental conservation , 2014, Environmental Science and Pollution Research.

[34]  Amy W. Ando,et al.  Water Quality Trading with Lumpy Investments, Credit Stacking, and Ancillary Benefits , 2014 .

[35]  Qin Huang,et al.  Identifying non-point source priority management areas in watersheds with multiple functional zones. , 2015, Water research.

[36]  N. P. Nguyena,et al.  Water quality trading with asymmetric information , uncertainty and transaction costs : A stochastic agent-based simulation , 2015 .