Literature DB >> 27515023

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

Lei Chen1, Zhaoxing Han1,2, Shuang Li1, Zhenyao Shen3.   

Abstract

The 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.

Entities:  

Keywords:  Beiyun river; Effluent trading; Influencing factor; River assessment point; Water environmental functional zone; Water quality

Mesh:

Substances:

Year:  2016        PMID: 27515023     DOI: 10.1007/s00267-016-0747-6

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  18 in total

1.  Modeling for point-non-point source effluent trading: perspective of non-point sources regulation in China.

Authors:  W Zhang; X J Wang
Journal:  Sci Total Environ       Date:  2002-06-26       Impact factor: 7.963

2.  River pollution from non-point sources: a new simplified method of assessment.

Authors:  Michele Munafò; Giuliano Cecchi; Fabio Baiocco; Laura Mancini
Journal:  J Environ Manage       Date:  2005-10       Impact factor: 6.789

3.  An inexact fuzzy two-stage stochastic model for quantifying the efficiency of nonpoint source effluent trading under uncertainty.

Authors:  B Luo; I Maqsood; G H Huang; Y Y Yin; D J Han
Journal:  Sci Total Environ       Date:  2005-03-05       Impact factor: 7.963

4.  Baseline requirements can hinder trades in water quality trading programs: Evidence from the Conestoga watershed.

Authors:  Gaurav Ghosh; Marc Ribaudo; James Shortle
Journal:  J Environ Manage       Date:  2011-04-19       Impact factor: 6.789

5.  Identifying non-point source priority management areas in watersheds with multiple functional zones.

Authors:  Zhenyao Shen; Yucen Zhong; Qin Huang; Lei Chen
Journal:  Water Res       Date:  2015-01-01       Impact factor: 11.236

6.  Optimization of integrated water quality management for agricultural efficiency and environmental conservation.

Authors:  Amr Fleifle; Oliver Saavedra; Chihiro Yoshimura; Mohamed Elzeir; Ahmed Tawfik
Journal:  Environ Sci Pollut Res Int       Date:  2014-03-27       Impact factor: 4.223

7.  Watershed-based point sources permitting strategy and dynamic permit-trading analysis.

Authors:  Shu-Kuang Ning; Ni-Bin Chang
Journal:  J Environ Manage       Date:  2006-08-23       Impact factor: 6.789

8.  An integrated model for simulating nitrogen trading in an agricultural catchment with complex hydrogeology.

Authors:  T J Cox; J C Rutherford; S C Kerr; D C Smeaton; C C Palliser
Journal:  J Environ Manage       Date:  2013-06-14       Impact factor: 6.789

9.  Water resources and the land-water interface.

Authors:  J R Karr; I J Schlosser
Journal:  Science       Date:  1978-07-21       Impact factor: 47.728

10.  Headwater influences on downstream water quality.

Authors:  Walter K Dodds; Robert M Oakes
Journal:  Environ Manage       Date:  2008-03       Impact factor: 3.266

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  1 in total

1.  Effluent trading in river systems through stochastic decision-making process: a case study.

Authors:  Mohammad Amin Zolfagharipoor; Azadeh Ahmadi
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-15       Impact factor: 4.223

  1 in total

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