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Updated: Mar 18, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Uncertainty analysis for an effluent trading system in a typical nonpoint-sources-polluted watershed
Lei Chen1, Zhaoxing Han1,2, Guobo Wang1
1State Key Laboratory of Water Environment, School of Environment, Beijing Normal University, Beijing 100875, P.R. China.
Uncertainty in nonpoint sources (NPSs) makes effluent trading systems (ETSs) less cost-effective. Shifting abatement efforts and considering best management practices (BMPs) are crucial for reliable water quality management.
Area of Science:
- Environmental Science
- Water Resource Management
- Environmental Economics
Background:
- Conventional effluent trading systems (ETSs) linking point sources (PSs) and nonpoint sources (NPSs) face reliability issues due to NPS uncertainties.
- Understanding the impact of uncertainties in water quality management is critical for effective environmental policy.
Purpose of the Study:
- To establish a new framework for PS-NPS ETSs.
- To quantify the impacts of uncertainties in water assimilative capacity (WAC), NPS emissions, and measurement effectiveness on ETS functionality and cost-effectiveness.
Main Methods:
- Developed a novel framework for analyzing PS-NPS ETSs.
- Quantified the effects of uncertainties in WAC, NPS emissions, and measurement accuracy.
- Analyzed error transitivity in different ETS approaches, including WEFZ-based ETS.
Main Results:
- NPS uncertainties reduce the cost-effectiveness of PS-NPS ETSs across most hydrological conditions.
- Stochastic factors cause a shift from water assimilative capacity (WAC) constraints to water quality constraints.
- Emission uncertainty disproportionately affects PSs, while increased emission or abatement uncertainty shifts abatement efforts from NPSs to PSs.
Conclusions:
- The study highlights the significant impact of uncertainty on PS-NPS ETS functionality.
- Results suggest a trade-off between confidence levels and abatement efforts in ETS design.
- Recommendations include considering structural best management practices (BMPs) for NPSs when emissions are high.
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