2013
DOI: 10.1007/s11356-013-2437-8
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A robust simulation–optimization modeling system for effluent trading—a case study of nonpoint source pollution control

Abstract: In this study, a robust simulation-optimization modeling system (RSOMS) is developed for supporting agricultural nonpoint source (NPS) effluent trading planning. The RSOMS can enhance effluent trading through incorporation of a distributed simulation model and an optimization model within its framework. The modeling system not only can handle uncertainties expressed as probability density functions and interval values but also deal with the variability of the second-stage costs that are above the expected leve… Show more

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Cited by 24 publications
(13 citation statements)
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“…Since the topography is not suitable for cultivation in large parts, the occurrence of soil erosion is with high frequency and can be intensified by abundant precipitation in wet season, which results in serious agricultural nonpoint source pollution. The soil erosion area of Xingshan County has reached 1122.5 km 2 , constituting 61 % of the total region, with the annual erosion modulus being 6.5 million kg/km 2 (Zhang et al 2013). Currently, scattered livestock breeding is the main pattern in this region, which leads to serious nonpoint source pollution as a result of large amounts of livestock wastewater and wastes (i.e., chemical oxygen demand (COD) and phosphorus).…”
Section: Bayesian-based Two-stage Inexact Optimization Modelmentioning
confidence: 99%
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“…Since the topography is not suitable for cultivation in large parts, the occurrence of soil erosion is with high frequency and can be intensified by abundant precipitation in wet season, which results in serious agricultural nonpoint source pollution. The soil erosion area of Xingshan County has reached 1122.5 km 2 , constituting 61 % of the total region, with the annual erosion modulus being 6.5 million kg/km 2 (Zhang et al 2013). Currently, scattered livestock breeding is the main pattern in this region, which leads to serious nonpoint source pollution as a result of large amounts of livestock wastewater and wastes (i.e., chemical oxygen demand (COD) and phosphorus).…”
Section: Bayesian-based Two-stage Inexact Optimization Modelmentioning
confidence: 99%
“…On the other hand, various uncertainties exist in the study problem, such as randomness of precipitation and surface runoff, the incompleteness or impreciseness of the information related to economic and technical data, the errors in observed data, and spatial and temporal variations existing in system components (Zhang et al 2013). Such uncertainties can result in interactive and dynamic complexities under water quality management scheme over the multi-period planning horizon.…”
Section: Bayesian-based Two-stage Inexact Optimization Modelmentioning
confidence: 99%
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“…Tietenberg [24] added that regulators' obstruction and sophisticated trading procedures were to blame for the situation. Zhang et al [25] and Andrew et al [26] extended the analysis of optimal scales in pollution permit markets and determined optimal trading zones. Atkinson [27] thought lack of participants was a serious problem, which is also the reason for our study.…”
Section: Research Related Backgroundmentioning
confidence: 99%
“…Previously, a number of optimization techniques have been developed to deal with deteriorating water systems in the economic-environmental management of sustainable development (Enfors and Gordon 2008;Zhang et al 2014a). Some scholars such as Freni et al (2008), Zhang et al (2014b), and Jiao et al (2013) developed stochastic, fuzzy, and interval mathematical programs were the primary methods used to solve the waste load allocation problems. Mahjouri and Abbasi (2015) developed a waste load allocation model incorporating uncertainties due to randomness and vagueness.…”
Section: Introductionmentioning
confidence: 99%