A preference-based multi-objective model for the optimization of best management practices

Chen, Lei; Qiu, Jiali; Wei, Guoyuan; Shen, Zhenyao

doi:10.1016/j.jhydrol.2014.11.032

Cited by 44 publications

(6 citation statements)

References 40 publications

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“…Assessment of the control efficiency of BMPs is a key step in determining whether a measure is applicable. There are many studies that have showed the effectiveness of ANSP based on site monitoring before and after different BMPs implementation [14,15]. However, this approach takes a long time and requires extensive measurements; as a result, most research studies gradually transformed into hydrological model simulations.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impacts of Best Management Practices on Nonpoint Source Pollution Considering Cost-Effectiveness in the Source Area of the Liao River, China

Wang

Bian

Lao

et al. 2019

Water

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Agricultural nonpoint source pollution has been a major influential factor on the deterioration of water quality in the Liao River source area. Best management practices (BMPs), as a comprehensive pollution prevention system designed to reduce the impacts of agricultural activities and improve water quality, has been considered one of the most effective solutions for nonpoint source pollution control. However, economic cost has been an important element for screening the implementation of BMPs. Both pollution reduction and capital expenditure need to be resolved with the actual situation. A water quality model such as the Soil and Water Assessment Tool (SWAT) and empirical cost algorithm are important tools to assess the cost-effectiveness of the effects of BMPs on nonpoint source pollution. In this study, BMP scenarios including buffer strips (BSs), fertilizer reduction (FR), forest land increase (FLI), grassland increase (GLI), and their combination were implemented using the SWAT model; furthermore, the efficiency of their pollutants reduction and costs benefit were estimated in the watershed. The results showed that combined BMPs have better control effects than a single BMP, with “BS20 (widths 20 m) + FR15 (fertilization reduction 15%) + FLI (forest land increase)” arriving at the greatest loads reduction in the critical periods. From environmental and economic perspectives, the cost-effectiveness of interception measures is higher than that of the source control measures. The results indicated that BS was the most environmentally friendly practice, and FR was the most economically efficient out of all the BMPs. Regarding land-use changes, FLI was more environmentally friendly, and GLI was more economically efficient. The most economical and effective BMPs can be designated as follows: BS1.5 (widths 1.5 m) and FR15 (fertilization reduction 15%). Therefore, due to possible differences in government policies, it is important to consider an integrated approach for all the relevant actors and seek sustainable environmental and economic development.

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Section: Introductionmentioning

confidence: 99%

Assessing the Impacts of Best Management Practices on Nonpoint Source Pollution Considering Cost-Effectiveness in the Source Area of the Liao River, China

Wang

Bian

Lao

et al. 2019

Water

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“…Perić, Babić, and Rešić (2014) applied goal programming methods for solving the multi-objective fractional linear programming problems under fuzziness. L. Chen, Qiu, Wei, and Shen (2015) proposed a preference-based multi-objective model for the optimization of best management practices. An intuitionistic fuzzy goal programming approach for finding Pareto-optimal solutions to multi-objective programming problems was considered by Razmi, Jafarian, and Amin (2016).…”

Section: Introductionmentioning

confidence: 99%

A Distance Based Method for Solving Multi-Objective Optimization Problems

Kamal

Jalil

Muneeb

et al. 2018

J. Mod. Appl. Stat. Methods

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A new model for the weighted method of goal programming is proposed based on minimizing the distances between ideal objectives to feasible objective space. It provides the best compromised solution for Multi Objective Linear Programming Problems (MOLPP). The proposed model tackles MOLPP by solving a series of single objective subproblems, where the objectives are transformed into constraints. The compromise solution so obtained may be improved by defining priorities in terms of the weight. A criterion is also proposed for deciding the best compromise solution. Applications of the algorithm are discussed for transportation and assignment problems involving multiple and conflicting objectives. Numerical illustrations are given for the proposed model.

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“…Evolutionary algorithms applied to BMP placement can produce nearoptimal solutions that comply with a specified objective function, which can be based on meeting a pollutant threshold or a cost-effective criteria or both (Gitau, Veith, and Gburek 2004;Maringanti, Chaubey, and Popp 2009;Maringanti et al 2011). Chen et al (2015) described the benefits of using the genetic algorithm optimization methodology when incorporating preference-based criteria, using indicator-based optimization principles.…”

Section: Introductionmentioning

confidence: 99%

Optimizing best management practices to control anthropogenic sources of atmospheric phosphorus deposition to inland lakes

Weiss

Winter

Gharabaghi

2018

Journal of the Air & Waste Management Association

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Excessive phosphorus loading to inland freshwater lakes around the globe has resulted in nuisance plant growth along the waterfronts, degraded habitat for cold water fisheries, and impaired beaches, marinas and waterfront property. This novel study presents a first-time application of the Genetic Algorithm methodology to optimize the application of best management practices related to agriculture and mobile sources to achieve atmospheric phosphorus reduction targets and restore the ecological health of the lake. The novel methodology takes into account the spatial distribution of the emission sources in the airshed, the complex atmospheric long-range transport and deposition processes, cost and efficiency of the popular management practices and social constraints related to the adoption of BMPs.

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A preference-based multi-objective model for the optimization of best management practices

Cited by 44 publications

References 40 publications

Assessing the Impacts of Best Management Practices on Nonpoint Source Pollution Considering Cost-Effectiveness in the Source Area of the Liao River, China

Assessing the Impacts of Best Management Practices on Nonpoint Source Pollution Considering Cost-Effectiveness in the Source Area of the Liao River, China

A Distance Based Method for Solving Multi-Objective Optimization Problems

Optimizing best management practices to control anthropogenic sources of atmospheric phosphorus deposition to inland lakes

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