Modeling Stakeholders’ Perceptions in Participatory Multi-risk Assessment on a Deltaic Environment Under Climate Change Conditions

Abstract

Modern concepts in water resources management and related risk assessment necessitate participatory approaches with stakeholders having a key role in the respective processes. The objective of the article is to (i) integrate stakeholders’ opinions and preferences on identified hazards, i.e., coastal flooding, water scarcity, and heat stress, derived by physically based numerical modeling under current and future climate change conditions and attributed in the form of an Integrated deltaic risk index (IDRI) at a specific case study area, and (ii) investigate whether and how the stakeholders’ opinions differentiate the initial outputs coming from the mathematical models. Doing so, stakeholders’ mapping was conducted in tandem with interviews for the detection of responsibilities, tasks, importance, and influence, followed by a structured questionnaire for registering the stakeholders’ perception on climate change impacts and relevant estimated hazards at the same deltaic case study area. Thereafter, a stakeholder-based risk assessment model was constructed based on two methods: (a) stakeholders’ opinion and answers about the impact of each identified hazard are equally taken into consideration, and (b) stakeholders are divided into groups and evaluated through multi-criteria analysis. Finally, the produced weights by the two methods are appropriately coupled with the identified hazards and resulted in the development of a Stakeholder Participatory multi-Risk Index (SPmRI) per method. The comparison of the produced SPmRIs with the IDRI, which was formulated without considering any stakeholders’ participation, reveals noticeable differentiation of modeled outputs especially in cases of high index values, corroborating the need for stakeholders’ opinion inclusion through the SPmRI approach. The proposed methodology fosters the interaction of stakeholders’ perception with modeling-based hazard assessment as a modern tool for decision-making processes.

Multi-Criteria Prioritization of Watersheds for Post-Fire Restoration Using GIS Tools and Google Earth Engine: A Case Study from the Department of Santa Cruz, Bolivia

“…The subjectivity of the MCA method is generally acknowledged and welcomed by scientists and decision-makers, as it enriches the analyses with otherwise overlooked knowledge from the public and from local communities [19,71,72]. Although the participatory approach was successful in collecting useful input from GIS experts and local authorities, the participation in the hybrid workshops was limited to actors who were able to attend either in person, in Santa Cruz de la Sierra, or remotely.…”

“…Successful restoration efforts depend on the technical assessment of the landscape's characteristics and the analytical decision-making framework, as well as on local perceptions of the restoration goals [18]. Stakeholder consultation can be combined with MCA approaches to integrate local knowledge with regional case studies and crosssector management plans [19]. It is therefore useful to involve local experts in the process of identifying and prioritizing suitable restoration actions [20,21].…”

Pengaruh Keberadaan Bendungan Leuwikeris Dan Bendungan Matenggeng Terhadap Alokasi Air Daerah Aliran Sungai (Das) Citanduy

“…Pengalaman yang didapat melalui penerapan metodologi yang diusulkan mendukung implementasi langkah-langkah mitigasi risiko diwilayah studi dan oleh karena itu dapat berkontribusi pada pembentukan strategi pengelolaan terpadu. (Katirtzidou et al, 2023). Pemodelan alokasi air menilai dampak dari perkembangan sumber daya air dan ketersediaan air dari hulu hingga hilir dan menginvestigasi lokasi yang rawan akan kekurangan air.…”

A GIS-Based Emotion Detection Framework for Multi-Risk Analysis in Urban Settlements

“…In [6], through specific questionnaires, the opinions of the stakeholders relating to the impacts generated by climate change and environmental risks in deltaic areas are collected to evaluate the deviations between the subjective assessments of the stakeholders and the results of mathematical risk assessment models. The authors demonstrate that the analysis of stakeholder perceptions is necessary to integrate the results of multi-risk mathematical models into decision-making processes.…”