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Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty

When planning wetland restoration projects, the planting area allocation and the costs of the restoration measures are two major issues faced by decision makers. In this study, a framework based on the interval fuzzy linear programming (IFLP) method is introduced for the first time to plan wetland r...

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Detalles Bibliográficos
Autores principales: Zhang, Yang, Shen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470405/
https://www.ncbi.nlm.nih.gov/pubmed/34574471
http://dx.doi.org/10.3390/ijerph18189549
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author Zhang, Yang
Shen, Jing
author_facet Zhang, Yang
Shen, Jing
author_sort Zhang, Yang
collection PubMed
description When planning wetland restoration projects, the planting area allocation and the costs of the restoration measures are two major issues faced by decision makers. In this study, a framework based on the interval fuzzy linear programming (IFLP) method is introduced for the first time to plan wetland restoration projects. The proposed framework can not only effectively deal with interval and fuzzy uncertainties that exist in the planning process of wetland restorations but also handle trade-offs between ecological environment benefits and economic cost. This framework was applied to a real-world wetland restoration planning problem in the northeast of China to verify its validity and examine the credibility of the constraints. The optimized results obtained from the framework that we have developed indicate that higher ecological and social benefits can be obtained with optimal restoration costs after using the wetland restoration decision-making framework. The optimal restoration measure allocation schemes obtained by IFLP under different credibility levels can help decision makers generate a range of alternatives, which can also provide decision suggestions to local managers to generate a satisfactory decision-making plan. Furthermore, a comparison was made between the IFLP model and ILP model in this study. The comparison results indicate that the IFLP model provides more information regarding ecological environment and economic trade-offs between the system objective, certainty, and reliability. This framework provides managers with an effective way to plan wetland restoration projects, while transference of the model may help solve similar problems.
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spelling pubmed-84704052021-09-27 Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty Zhang, Yang Shen, Jing Int J Environ Res Public Health Article When planning wetland restoration projects, the planting area allocation and the costs of the restoration measures are two major issues faced by decision makers. In this study, a framework based on the interval fuzzy linear programming (IFLP) method is introduced for the first time to plan wetland restoration projects. The proposed framework can not only effectively deal with interval and fuzzy uncertainties that exist in the planning process of wetland restorations but also handle trade-offs between ecological environment benefits and economic cost. This framework was applied to a real-world wetland restoration planning problem in the northeast of China to verify its validity and examine the credibility of the constraints. The optimized results obtained from the framework that we have developed indicate that higher ecological and social benefits can be obtained with optimal restoration costs after using the wetland restoration decision-making framework. The optimal restoration measure allocation schemes obtained by IFLP under different credibility levels can help decision makers generate a range of alternatives, which can also provide decision suggestions to local managers to generate a satisfactory decision-making plan. Furthermore, a comparison was made between the IFLP model and ILP model in this study. The comparison results indicate that the IFLP model provides more information regarding ecological environment and economic trade-offs between the system objective, certainty, and reliability. This framework provides managers with an effective way to plan wetland restoration projects, while transference of the model may help solve similar problems. MDPI 2021-09-10 /pmc/articles/PMC8470405/ /pubmed/34574471 http://dx.doi.org/10.3390/ijerph18189549 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Yang
Shen, Jing
Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty
title Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty
title_full Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty
title_fullStr Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty
title_full_unstemmed Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty
title_short Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty
title_sort wetland restoration planning approach based on interval fuzzy linear programming under uncertainty
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470405/
https://www.ncbi.nlm.nih.gov/pubmed/34574471
http://dx.doi.org/10.3390/ijerph18189549
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