Water Quality Model Uncertainty Analysis of a Point-Point Source Phosphorus Trading Program1

Kardos, Josef S.; Obropta, Christopher C.

doi:10.1111/j.1752-1688.2011.00591.x

Cited by 15 publications

(7 citation statements)

References 22 publications

(52 reference statements)

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“…During the normal- and dry-normal periods, the variance of NPSs emissions is greater than that of river flow, so the water quality constraint has a greater impacts on the trading results. Instead of their marginal abatement cost, the credits would be allocated optimally between sources based on their contributions to downstream water quality, which could be defined as the relative delivery of TP loading to a shared critical location 21 . During a wet year, owing to the larger amount of rainfall and NPS emissions, the abatement load and cost changed from 28,433 kg to 109,519 kg, and from 599*10 4 ¥ to 2,430*10 4 ¥, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Generally, the WAC represents the ability of the receiving water bodies to assimilate certain targeted pollutants without exceeding the water quality standard 21 . The whole year was divided into three hydrological seasons based on local historical records; June, July, and August were defined as the wet season; January, February, March, November and December as the dry season; and April, May, September, and October as the normal season 22 .…”

Section: Materials and Methodologymentioning

confidence: 99%

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Uncertainty analysis for an effluent trading system in a typical nonpoint-sources-polluted watershed

Lei

Han

Wang

et al. 2016

Sci Rep

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Conventional effluent trading systems (ETSs) between point sources (PSs) and nonpoint sources (NPSs) are often unreliable because of the uncertain characteristics of NPSs. In this study, a new framework was established for PS-NPS ETSs, and a comprehensive analysis was conducted by quantifying the impacts of the uncertainties associated with the water assimilative capacity (WAC), NPS emissions, and measurement effectiveness. On the basis of these results, the uncertain characteristics of NPSs would result in a less cost-effective PS-NPS ETS during most hydrological periods, and there exists a clear transition occurs from the WAC constraint to the water quality constraint if these stochastic factors are considered. Specifically, the emission uncertainty had a greater impact on PSs, but an increase in the emission or abatement uncertainty caused the abatement efforts to shift from NPSs toward PSs. Moreover, the error transitivity from the WAC to conventional ETS approaches is more obvious than that to the WEFZ-based ETS. When NPSs emissions are relatively high, structural BMPs should be considered for trading, and vice versa. These results are critical to understand the impacts of uncertainty on the functionality of PS-NPS ETSs and to provide a trade-off between the confidence level and abatement efforts.

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Section: Resultsmentioning

confidence: 99%

Section: Materials and Methodologymentioning

confidence: 99%

Uncertainty analysis for an effluent trading system in a typical nonpoint-sources-polluted watershed

Lei

Han

Wang

et al. 2016

Sci Rep

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“…Transferable discharge permit programs offer a trading platform, in which effluent permits issued to dischargers can be transferred among them as a free market commodity (Houck, ). Under such a trading scheme, a certain number of effluent allowances are allocated to each source and allows each source to discharge this amount, discharge less and sell the excess allowances, or discharge more and purchase additional allowances (Kardos and Obropta, ). Besides, random uncertainty can lead to a recourse problem associated with penalties being imposed when policies expressed as allowable pollutant loading levels are violated.…”

Section: Case Studymentioning

confidence: 99%

A Recourse‐Based Interval Fuzzy Programming Model for Point‐Nonpoint Source Effluent Trading under Uncertainty

Huang

et al. 2014

J American Water Resour Assoc

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In this study, a recourse‐based interval fuzzy programming (RIFP) model is developed for tackling uncertainties expressed as fuzzy, interval, and/or probabilistic forms in an effluent trading program. It can incorporate preregulated water‐pollution control policies directly into its optimization process, such that an effective linkage between environmental regulations and economic implications (i.e., penalties) caused by improper policies due to uncertainty existence can be provided. The RIFP model is applied to point‐nonpoint source effluent trading of the Xiangxi River in China. The efficiency of trading efforts between water quality improvement and net system benefit under different degrees of satisfying discharge limits is analyzed. The results are able to help support (1) formulation of water‐pollution control strategies under various economic objectives and system‐reliability constraints, (2) selection of the desired effluent trading pattern for point and nonpoint sources, and (3) generation of tradeoffs among system benefit, satisfaction degree, and pollutant mitigation under multiple uncertainties. Compared with the traditional regulatory approaches, the results demonstrate that the water‐pollution control program can be performed more cost‐effectively through trading than nontrading.

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“…In non-tidal Passaic River basin of New Jersey, the phosphorous trading discharge permit (TDP) market is assessed using an environmental decision support system (Obropta et al 2008). Later, in this case, Kardos and Obropta (2011) studied the effects of the market on the uncertainty of surface water quality parameters such as dissolved oxygen and chlorophyll A. They found no evidence about an increase in the uncertainty in comparison with C&C policy.…”

Section: Introductionmentioning

confidence: 98%

Enhancement of surface water quality using trading discharge permits and artificial aeration

et al. 2015

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Water quality trading (WQT) is a strategy for surface water quality management. This study focused on finding the optimal waste load allocation by WQT framework based on the concentrations of BOD and dissolved oxygen (DO) in Sefidrud River. It also assessed the consequences of using artificial aeration on trading discharge permits. For these purposes, river was simulated by Qual2kw. Two checkpoints were considered for monitoring the upstream (Sangar) and downstream (Caspian). Sensitivity analysis was carried out to find the impact factors of each emission sources. The required total maximum daily loads (TMDLs) were determined through simulation results. It predicted that the concentrations of ultimate BOD in both Sangar and Caspian stations may decrease from 3.6 and 8.1 mg/L, respectively, to 2.1 mg/L. Conversely, DO may increase from 5.8 and 0.9 mg/L to 7 and 3.7 mg/L, respectively. This could solely save 7 % of total treatment costs in comparison with the conventional command and control (C&C) policy. WQT may increase the revenues to 21 %. However, this could not provide enough flexibility and robustness in regard to the permit pricing and profits attained by stakeholders. Artificial aeration was considered as an improvement solution in the second scenario. The experimental results of hydroponic systems and hydraulic river simulation by CCHE2D showed that 0.25 day -1 can be added to the aeration coefficients. This modified TMDLs and impact factors thoroughly. Results verified that this approach may increase the revenues of TMDLs and discharge permit market, respectively, to 17 and 30 %. Permits can also be sold with higher prices and stakeholders may attain considerable profits. Consequently, the integration of artificial aeration with WQT was recommended for surface water quality enhancement.

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Water Quality Model Uncertainty Analysis of a Point-Point Source Phosphorus Trading Program1

Cited by 15 publications

References 22 publications

Uncertainty analysis for an effluent trading system in a typical nonpoint-sources-polluted watershed

Uncertainty analysis for an effluent trading system in a typical nonpoint-sources-polluted watershed

A Recourse‐Based Interval Fuzzy Programming Model for Point‐Nonpoint Source Effluent Trading under Uncertainty

Enhancement of surface water quality using trading discharge permits and artificial aeration

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