Application of multi-agent decision-making methods in hydrological ecosystem services management
2023 (English)In: MethodsX, ISSN 1258-780X, E-ISSN 2215-0161, Vol. 10, article id 102130Article in journal (Refereed) Published
Abstract [en]
In this paper, a methodology is presented for managing hydrological ecosystem services by taking into account the hierarchy of stakeholders involved in the decision-making process. With this in mind, a water allocation model is first used for allocating water resources to demands. Then, several ecosystem services (ESs)-based criteria are defined to evaluate hydrological ESs of water resources management policies. A set of water and environmental resources management strategies (alternatives) are defined for decision-makers, and several drought management strategies are determined to decrease the area of key crops and water demands of agricultural nodes. To model a multi-agent multi-criteria decision-making problem for managing hydrological ESs, three main steps are considered as follows: • Different ES-based criteria (i.e., economic profit, NPP,1 and ecological index) are defined, and their grade-based values are estimated. • Several strategies are defined for stakeholders at different levels. • A recursive evidential reasoning (ER) approach, which considers a hierarchical structure for decision-makers and a leader-follower game, is used to select the best strategy for each decision-maker.The applicability and efficiency of the methodology are illustrated by applying it to a real-world case study. The methodology is general and can be easily applied to other study areas.
Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 10, article id 102130
Keywords [en]
Ecosystem services-based criteria, Evidential reasoning, Group decision-making, Hierarchical structure of stakeholders, Water resources management scenarios
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:kth:diva-330917DOI: 10.1016/j.mex.2023.102130ISI: 000990690300001PubMedID: 37077892Scopus ID: 2-s2.0-85152261331OAI: oai:DiVA.org:kth-330917DiVA, id: diva2:1779693
Note
QC 20230704
2023-07-042023-07-042023-07-04Bibliographically approved