Literature DB >> 29453116

Developing a methodology for real-time trading of water withdrawal and waste load discharge permits in rivers.

Maryam Soltani1, Reza Kerachian2.   

Abstract

In this paper, a new methodology is proposed for the real-time trading of water withdrawal and waste load discharge permits in agricultural areas along the rivers. Total Dissolved Solids (TDS) is chosen as an indicator of river water quality and the TDS load that agricultural water users discharge to the river are controlled by storing a part of return flows in some evaporation ponds. Available surface water withdrawal and waste load discharge permits are determined using a non-linear multi-objective optimization model. Total available permits are then fairly reallocated among agricultural water users, proportional to their arable lands. Water users can trade their water withdrawal and waste load discharge permits simultaneously, in a bilateral, step by step framework, which takes advantage of differences in their water use efficiencies and agricultural return flow rates. A trade that would take place at each time step results in either more benefit or less diverted return flow. The Nucleolus cooperative game is used to redistribute the benefits generated through trades in different time steps. The proposed methodology is applied to PayePol region in the Karkheh River catchment, southwest Iran. Predicting that 1922.7 Million Cubic Meters (MCM) of annual flow is available to agricultural lands at the beginning of the cultivation year, the real-time optimization model estimates the total annual benefit to reach 46.07 million US Dollars (USD), which requires 6.31 MCM of return flow to be diverted to the evaporation ponds. Fair reallocation of the permits, changes these values to 35.38 million USD and 13.69 MCM, respectively. Results illustrate the effectiveness of the proposed methodology in the real-time water and waste load allocation and simultaneous trading of permits.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ANN; River water quality; The Karkheh river; Trading; Waste load discharge permit; Water withdrawal permit

Mesh:

Substances:

Year:  2018        PMID: 29453116     DOI: 10.1016/j.jenvman.2018.02.013

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

1.  A fuzzy multi-stakeholder socio-optimal model for water and waste load allocation.

Authors:  Mehrdad Ghorbani Mooselu; Mohammad Reza Nikoo; Mojtaba Sadegh
Journal:  Environ Monit Assess       Date:  2019-05-10       Impact factor: 2.513

2.  Planning for agricultural return flow allocation: application of info-gap decision theory and a nonlinear CVaR-based optimization model.

Authors:  Maryam Soltani; Reza Kerachian; Mohammad Reza Nikoo; Hamideh Noory
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-25       Impact factor: 4.223

3.  A bi-level multiobjective optimization model for waste load allocation in rivers.

Authors:  Xuan Zhang; Jungang Luo; Jiancang Xie
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-17       Impact factor: 4.223

  3 in total

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